Automated backup - 20250719_000001

FinanceReport/Chase0053_Activity20250601_20250701_20250718.CSV

@@ -0,0 +1,79 @@
+Transaction Date,Post Date,Description,Category,Type,Amount,Memo
+06/30/2025,07/01/2025,ALP*Programming,Professional Services,Sale,-6.08,
+06/30/2025,07/01/2025,TCGPLAYER.COM,Shopping,Return,0.21,
+06/30/2025,07/01/2025,AMAZON MKTPL*NQ7SV9K20,Shopping,Sale,-322.49,
+06/28/2025,06/30/2025,ALP*Taobao,Shopping,Sale,-3.04,
+06/28/2025,06/30/2025,ALP*DepartmentStores,Shopping,Sale,-15.35,
+06/29/2025,06/30/2025,AMAZON MKTPL*NQ7Q38KO1,Shopping,Sale,-5.16,
+06/27/2025,06/29/2025,GAMESTOP #6292,Entertainment,Sale,-537.49,
+06/27/2025,06/29/2025,ALP*Taobao,Shopping,Sale,-5.02,
+06/26/2025,06/29/2025,ALP*Taobao,Shopping,Sale,-6.95,
+06/26/2025,06/29/2025,ALP*Taobao,Shopping,Sale,-3.05,
+06/27/2025,06/29/2025,SAMSCLUB #8119,Shopping,Sale,-109.63,
+06/27/2025,06/29/2025,ALP*Taobao,Shopping,Sale,-2.37,
+06/28/2025,06/29/2025,WM SUPERCENTER #5771,Groceries,Sale,-3.65,
+06/26/2025,06/27/2025,ALP*Taobao,Shopping,Sale,-7.53,
+06/24/2025,06/25/2025,YAMI.COM,Groceries,Sale,-68.98,
+06/23/2025,06/24/2025,ALP*Programming,Professional Services,Sale,-13.93,
+06/22/2025,06/23/2025,ALP*Taobao,Shopping,Sale,-11.15,
+06/21/2025,06/22/2025,SAMS CLUB #8119,Gas,Sale,-37.57,
+06/21/2025,06/22/2025,PORKBUN* PORKBUN.COM,Bills & Utilities,Sale,-1.00,
+06/21/2025,06/22/2025,ALP*Taobao,Shopping,Sale,-1.36,
+06/21/2025,06/22/2025,SAMSCLUB #8119,Shopping,Sale,-86.27,
+06/21/2025,06/22/2025,TCGPLAYER.COM,Shopping,Return,0.21,
+06/20/2025,06/22/2025,ALP*PersonalServices,Personal,Sale,-16.35,
+06/21/2025,06/22/2025,SAMSCLUB #8119,Shopping,Sale,-1.08,
+06/21/2025,06/22/2025,ALP*Taobao,Shopping,Sale,-5.07,
+06/19/2025,06/20/2025,ALP*Programming,Professional Services,Sale,-7.61,
+06/19/2025,06/20/2025,ALP*PersonalServices,Personal,Sale,-27.84,
+06/20/2025,06/20/2025,OPENAI *CHATGPT SUBSCR,Shopping,Sale,-20.00,
+06/20/2025,06/20/2025,GOOGLE *SVCSCAS.6364-2,Personal,Sale,-5.00,
+06/19/2025,06/20/2025,ALP*PersonalServices,Personal,Sale,-27.84,
+06/17/2025,06/19/2025,ALP*Taobao,Shopping,Sale,-21.59,
+06/18/2025,06/19/2025,TCGPLAYER.COM,Shopping,Return,32.97,
+06/16/2025,06/17/2025,WALGREENS #9916,Health & Wellness,Sale,-18.72,
+06/16/2025,06/17/2025,AMAZON MKTPL*NA6BN8HT0,Shopping,Sale,-31.16,
+06/13/2025,06/16/2025,ALLEGNT AIR WXP,Travel,Sale,-273.50,
+06/12/2025,06/13/2025,SAMSCLUB #8119,Shopping,Sale,-91.62,
+06/11/2025,06/12/2025,TCGPLAYER.COM,Shopping,Return,0.54,
+06/11/2025,06/12/2025,TCGPLAYER.COM,Shopping,Sale,-38.73,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-32.97,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-7.53,
+06/11/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-31.48,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-9.58,
+06/11/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-108.46,
+06/10/2025,06/11/2025,ALP*Taobao,Shopping,Sale,-10.44,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-11.70,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-29.48,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-5.91,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-17.00,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-12.64,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-7.27,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-12.13,
+06/09/2025,06/11/2025,SAMSCLUB.COM,Shopping,Sale,-58.90,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-8.46,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-6.97,
+06/10/2025,06/11/2025,TCGPLAYER.COM,Shopping,Sale,-33.85,
+06/09/2025,06/10/2025,ALP*Taobao,Home,Sale,-3.64,
+06/09/2025,06/10/2025,ALP*PersonalServices,Personal,Sale,-24.50,
+06/08/2025,06/10/2025,ALP*PersonalServices,Personal,Sale,-1.39,
+06/06/2025,06/09/2025,THAI RICE RESTAURANT,Food & Drink,Sale,-20.31,
+06/08/2025,06/09/2025,ALP*PersonalServices,Personal,Sale,-27.84,
+06/08/2025,06/09/2025,ALP*PersonalServices,Personal,Sale,-27.84,
+06/08/2025,06/09/2025,ALP*PersonalServices,Personal,Sale,-24.71,
+06/07/2025,06/08/2025,Payment Thank You-Mobile,,Payment,1688.51,
+06/08/2025,06/08/2025,WALMART.COM,Shopping,Sale,-46.31,
+06/03/2025,06/05/2025,MINUTECLINIC #21532,Health & Wellness,Sale,-30.00,
+06/05/2025,06/05/2025,WALMART.COM,Shopping,Sale,-47.24,
+06/03/2025,06/04/2025,ALP*Taobao,Shopping,Sale,-1.39,
+06/03/2025,06/04/2025,ALP*Taobao,Shopping,Sale,-22.95,
+06/03/2025,06/04/2025,WALGREENS #9916,Health & Wellness,Sale,-10.00,
+06/01/2025,06/03/2025,ALP*Taobao,Shopping,Sale,-4.17,
+06/02/2025,06/03/2025,ALP*Taobao,Shopping,Return,4.17,
+06/01/2025,06/02/2025,ALP*Taobao,Shopping,Sale,-1.25,
+06/01/2025,06/02/2025,ALP*Taobao,Shopping,Sale,-6.95,
+06/01/2025,06/01/2025,ANNUAL MEMBERSHIP FEE,Fees & Adjustments,Fee,-95.00,
+05/31/2025,06/01/2025,ALP*Taobao,Shopping,Sale,-20.57,
+05/31/2025,06/01/2025,SP TG MALL,Shopping,Sale,-156.20,
+05/31/2025,06/01/2025,ALP*Taobao,Shopping,Sale,-11.40,
+05/29/2025,06/01/2025,ALP*RetailStores,Shopping,Sale,-2.78,

backtest/PROJECT_STRUCTURE.md

@@ -0,0 +1,137 @@
+# Enhanced Emotional Damage Strategy - Project Structure
+
+## 🎯 Quick Start
+```bash
+cd /home/will/docker/backtest/strategy/emotional-damage/
+# Edit config.json to modify parameters
+python3 run_strategy_with_config.py
+```
+
+## 📁 Directory Structure
+
+### Core Strategy Files
+```
+/strategy/emotional-damage/
+├── config.json                              # 🔧 Configuration parameters
+├── run_strategy_with_config.py              # 🚀 Main strategy runner
+├── README_CONFIG.md                         # 📖 Usage documentation  
+├── backtest_emotional_damage_enhanced_v2.py # 💎 Enhanced strategy implementation
+├── backtest_emotional_damage.py             # 📚 Original strategy (reference)
+└── enhanced-emotional-damage.txt            # 📝 Strategy description
+```
+
+### Data & Database
+```
+/data/
+├── stock_data.db                            # 💾 Main SQLite database
+├── data_manager.py                          # 🔧 Database management
+└── __init__.py
+```
+
+### Reports & Results
+```
+/reports/                                    # 📊 Generated reports
+├── enhanced_strategy_report_*.pdf           # 📈 PDF performance report
+├── enhanced_trades_*.csv                    # 📋 Trade history CSV
+└── detailed_trades_*.txt                    # 🔍 Detailed trade log
+
+/results/                                    # 💾 Strategy objects  
+└── enhanced_strategy_*.pkl                  # 🎯 Serialized strategy
+```
+
+### Chat History
+```
+/chat_history/                               # 💬 Conversation logs
+├── enhanced_strategy_configuration_session.json
+├── enhanced_emotional_damage_full_conversation.json
+└── ...
+```
+
+### Infrastructure
+```
+/
+├── Dockerfile                               # 🐳 Docker container setup
+├── docker-compose.yml                       # 🐳 Docker orchestration
+├── requirements.txt                         # 📦 Python dependencies
+├── download_data.py                         # 📥 Data download scripts
+├── download_qqq_data.py
+└── create_fear_greed_index.py               # 🧮 F&G index creation
+```
+
+## 🎛️ Configuration System
+
+### Key Files:
+- **config.json**: All strategy parameters
+- **run_strategy_with_config.py**: Zero-token parameter testing
+- **README_CONFIG.md**: Complete usage guide
+
+### Configuration Categories:
+1. **Strategy Parameters**: Capital, thresholds, stop-loss
+2. **Technical Indicators**: RSI, MACD, SMA settings  
+3. **Output Settings**: PDF, CSV, console output control
+4. **Data Settings**: Date ranges, ticker filters
+
+## 📈 Strategy Features
+
+### Enhanced Capabilities:
+- ✅ **Gradual Transitions**: 4-step position changes over 4 weeks
+- ✅ **Technical Filtering**: RSI, MACD, SMA with 2/3 requirement
+- ✅ **Stop-Loss Protection**: 15% threshold with automatic QQQ replacement
+- ✅ **Integer Shares**: Realistic whole-share trading
+- ✅ **Complete Audit Trail**: F&G index, cash, portfolio state per trade
+
+### Risk Management:
+- **Stop-Loss**: Configurable threshold (default 15%)
+- **Volatility Filtering**: 30-day historical volatility calculation
+- **Technical Validation**: Multiple indicator confirmation
+- **Gradual Execution**: Reduced market impact
+
+## 🔧 Maintenance
+
+### Regular Tasks:
+1. **Data Updates**: Run download scripts periodically
+2. **Parameter Tuning**: Modify config.json and test
+3. **Report Review**: Check /reports/ for latest results
+4. **Backup**: Save important .pkl files from /results/
+
+### File Cleanup:
+- Old reports are automatically cleaned during major updates
+- Keep latest strategy pickle files for analysis
+- Chat history preserved for reference
+
+## 🚀 Usage Examples
+
+### Basic Run:
+```bash
+python3 run_strategy_with_config.py
+```
+
+### Conservative Strategy:
+```json
+{
+  "fear_threshold": 30,
+  "greed_threshold": 70,
+  "stop_loss_threshold": 0.10
+}
+```
+
+### Aggressive Strategy:
+```json
+{
+  "fear_threshold": 20,
+  "greed_threshold": 80,
+  "required_indicators": 1
+}
+```
+
+## 📊 Output Files
+
+Every run generates:
+- **PDF Report**: Visual performance analysis
+- **CSV Data**: Machine-readable trade history  
+- **Detailed Log**: Human-readable trade breakdown
+- **Strategy Object**: For advanced analysis
+
+---
+*Last Updated: 2025-07-18*
+*Status: Production Ready* ✅

backtest/chat_history/enhanced_strategy_configuration_session.json

@@ -0,0 +1,89 @@
+{
+  "session_info": {
+    "date": "2025-07-18",
+    "topic": "Enhanced Emotional Damage Strategy Configuration System",
+    "duration": "Multiple hours",
+    "status": "Completed Successfully"
+  },
+  "summary": {
+    "objective": "Fix Enhanced strategy bugs and create configurable system",
+    "achievements": [
+      "Fixed critical share count fractional bug (all shares now integers)",
+      "Fixed stop-loss logic (15% threshold now triggers correctly)",
+      "Fixed cash management (immediate QQQ purchase after stop-loss)",
+      "Enhanced trade recording (added F&G index, cash position, portfolio state)",
+      "Created comprehensive configurable system with config.json",
+      "Generated complete PDF and CSV reports with all trade details",
+      "Created user-friendly configuration documentation"
+    ]
+  },
+  "key_issues_resolved": [
+    {
+      "issue": "Share count was fractional",
+      "solution": "Added int() casting to all share calculations",
+      "impact": "Realistic trading with whole shares only"
+    },
+    {
+      "issue": "Stop-loss not triggering",
+      "solution": "Fixed action matching from 'BUY_VOLATILE' to 'BUY_GRADUAL'",
+      "impact": "21 stop-losses triggered correctly, protecting capital"
+    },
+    {
+      "issue": "Missing trade details",
+      "solution": "Added F&G index, cash balance, portfolio state to each trade",
+      "impact": "Complete trading audit trail"
+    },
+    {
+      "issue": "Manual parameter changes required coding",
+      "solution": "Created config.json system with automatic report generation",
+      "impact": "Zero-token parameter testing and optimization"
+    }
+  ],
+  "final_results": {
+    "total_trades": 203,
+    "stop_losses_triggered": 21,
+    "trading_period": "2008-2025",
+    "files_created": [
+      "config.json - Configuration parameters",
+      "run_strategy_with_config.py - Main configurable strategy runner",
+      "README_CONFIG.md - Usage instructions",
+      "Multiple PDF/CSV reports with complete trade details"
+    ]
+  },
+  "user_feedback": {
+    "key_observations": [
+      "DXCM example: 11,274 shares at $2.22, dropped to $1.00 (55% loss)",
+      "Stop-loss should have triggered at 15% but didn't initially",
+      "Cash management: sell → immediate QQQ purchase was missing",
+      "Need F&G index and cash position in trade records"
+    ],
+    "satisfaction": "High - all issues resolved, configurable system created"
+  },
+  "technical_details": {
+    "strategy_enhancements": [
+      "Gradual transitions (4-step process over 4 weeks)",
+      "Technical indicator filtering (MACD, RSI, SMA with 2/3 requirement)",
+      "15% stop-loss protection with automatic QQQ replacement",
+      "Volatility calculation over past 30 days (not just fear period)",
+      "Integer share counts for realistic trading"
+    ],
+    "configuration_options": {
+      "strategy_params": "initial_capital, fear/greed thresholds, stop_loss, transition_steps",
+      "technical_indicators": "RSI, MACD, SMA settings and requirements",
+      "output_settings": "PDF, CSV, detailed trades, console output control",
+      "data_settings": "Date ranges, minimum ticker records"
+    }
+  },
+  "code_quality": {
+    "bug_fixes": "All critical bugs resolved",
+    "documentation": "Comprehensive README with usage examples",
+    "maintainability": "Configurable system reduces need for code changes",
+    "testing": "Verified with full backtest showing expected behavior"
+  },
+  "next_steps_for_user": [
+    "Modify config.json parameters as needed",
+    "Run 'python3 run_strategy_with_config.py' to test new configurations",
+    "Review generated reports in /reports/ directory",
+    "Use different config files for parameter comparison testing"
+  ]
+}

backtest/generate_pdf_report.py

@@ -1,313 +0,0 @@
-import sqlite3
-import pandas as pd
-import numpy as np
-import matplotlib.pyplot as plt
-import seaborn as sns
-from matplotlib.backends.backend_pdf import PdfPages
-from datetime import datetime
-import warnings
-warnings.filterwarnings('ignore')
-
-# Import the strategy
-import sys
-import os
-sys.path.append(os.path.join(os.path.dirname(__file__), 'strategy', 'emotional-damage'))
-from backtest_emotional_damage import run_emotional_damage_backtest
-
-def calculate_performance_metrics(values, dates):
-    """Calculate comprehensive performance metrics"""
-    
-    # Convert to pandas Series if needed
-    if isinstance(values, list):
-        values = pd.Series(values, index=dates)
-    
-    # Total return
-    total_return = (values.iloc[-1] / values.iloc[0] - 1) * 100
-    
-    # Annualized return
-    years = (dates[-1] - dates[0]).days / 365.25
-    annual_return = ((values.iloc[-1] / values.iloc[0]) ** (1/years) - 1) * 100
-    
-    # Calculate daily returns
-    daily_returns = values.pct_change().dropna()
-    
-    # Volatility (annualized)
-    volatility = daily_returns.std() * np.sqrt(252) * 100
-    
-    # Sharpe ratio (assuming 0% risk-free rate)
-    sharpe_ratio = (daily_returns.mean() * 252) / (daily_returns.std() * np.sqrt(252))
-    
-    # Maximum drawdown
-    peak = values.expanding().max()
-    drawdown = (values - peak) / peak
-    max_drawdown = drawdown.min() * 100
-    max_drawdown_date = drawdown.idxmin()
-    
-    # Annual returns by year
-    annual_returns = {}
-    for year in range(dates[0].year, dates[-1].year + 1):
-        year_mask = [d.year == year for d in dates]
-        if any(year_mask):
-            year_values = values[year_mask]
-            if len(year_values) > 1:
-                year_return = (year_values.iloc[-1] / year_values.iloc[0] - 1) * 100
-                annual_returns[year] = year_return
-    
-    return {
-        'total_return': total_return,
-        'annual_return': annual_return,
-        'volatility': volatility,
-        'sharpe_ratio': sharpe_ratio,
-        'max_drawdown': max_drawdown,
-        'max_drawdown_date': max_drawdown_date,
-        'annual_returns': annual_returns
-    }
-
-def create_pdf_report():
-    """Generate comprehensive PDF report"""
-    
-    print("Generating PDF report...")
-    
-    # Run the backtest
-    results = run_emotional_damage_backtest()
-    
-    strategy = results['strategy']
-    portfolio_df = results['portfolio_df']
-    benchmark_data = results['benchmark_data']
-    strategy_metrics = results['strategy_metrics']
-    qqq_metrics = results['qqq_metrics']
-    spy_metrics = results['spy_metrics']
-    
-    # Create PDF
-    pdf_filename = f"emotional_damage_strategy_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
-    
-    with PdfPages(pdf_filename) as pdf:
-        
-        # Page 1: Title and Executive Summary
-        fig, ax = plt.subplots(figsize=(11, 8.5))
-        ax.axis('off')
-        
-        # Title
-        ax.text(0.5, 0.9, 'Emotional Damage Strategy', 
-                fontsize=24, fontweight='bold', ha='center')
-        ax.text(0.5, 0.85, 'Backtest Performance Report', 
-                fontsize=18, ha='center')
-        ax.text(0.5, 0.8, f'Generated on {datetime.now().strftime("%Y-%m-%d %H:%M:%S")}', 
-                fontsize=12, ha='center')
-        
-        # Strategy description
-        strategy_desc = """
-Strategy Description:
-The Emotional Damage strategy is a tactical allocation approach that:
-• Starts with 100% QQQ allocation
-• Switches to 100% cash when CNN Fear & Greed Index < 25 (extreme fear)
-• Buys top 10 most volatile QQQ stocks when F&G recovers > 25
-• Returns to QQQ when F&G Index > 75 (extreme greed)
-
-Backtest Period: {} to {}
-Total Trades Executed: {}
-        """.format(
-            portfolio_df.index[0].strftime('%Y-%m-%d'),
-            portfolio_df.index[-1].strftime('%Y-%m-%d'),
-            len(strategy.trades)
-        )
-        
-        ax.text(0.05, 0.65, strategy_desc, fontsize=11, va='top')
-        
-        # Performance summary table
-        summary_data = [
-            ['Metric', 'Emotional Damage', 'QQQ Buy & Hold', 'SPY Buy & Hold'],
-            ['Total Return', f"{strategy_metrics['total_return']:.1f}%", 
-             f"{qqq_metrics['total_return']:.1f}%", f"{spy_metrics['total_return']:.1f}%"],
-            ['Annual Return', f"{strategy_metrics['annual_return']:.1f}%", 
-             f"{qqq_metrics['annual_return']:.1f}%", f"{spy_metrics['annual_return']:.1f}%"],
-            ['Max Drawdown', f"{strategy_metrics['max_drawdown']:.1f}%", 
-             f"{qqq_metrics['max_drawdown']:.1f}%", f"{spy_metrics['max_drawdown']:.1f}%"],
-            ['Sharpe Ratio', f"{strategy_metrics['sharpe_ratio']:.2f}", 
-             f"{qqq_metrics['sharpe_ratio']:.2f}", f"{spy_metrics['sharpe_ratio']:.2f}"],
-            ['Max DD Date', strategy_metrics['max_drawdown_date'].strftime('%Y-%m-%d'), 
-             qqq_metrics['max_drawdown_date'].strftime('%Y-%m-%d'), 
-             spy_metrics['max_drawdown_date'].strftime('%Y-%m-%d')]
-        ]
-        
-        # Create table
-        table = ax.table(cellText=summary_data[1:], colLabels=summary_data[0],
-                        cellLoc='center', loc='center', bbox=[0.05, 0.15, 0.9, 0.35])
-        table.auto_set_font_size(False)
-        table.set_fontsize(10)
-        table.scale(1, 2)
-        
-        # Style header row
-        for i in range(len(summary_data[0])):
-            table[(0, i)].set_facecolor('#4472C4')
-            table[(0, i)].set_text_props(weight='bold', color='white')
-        
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight')
-        plt.close()
-        
-        # Page 2: Portfolio Value Over Time
-        fig, ax = plt.subplots(figsize=(11, 8.5))
-        
-        # Normalize all series to same starting value for comparison
-        start_value = 100000
-        strategy_values = portfolio_df['value']
-        qqq_values = benchmark_data['qqq_value']
-        spy_values = benchmark_data['spy_value']
-        
-        # Plot all three strategies
-        ax.plot(strategy_values.index, strategy_values, label='Emotional Damage Strategy', 
-                linewidth=2, color='red')
-        ax.plot(qqq_values.index, qqq_values, label='QQQ Buy & Hold', 
-                linewidth=2, color='blue')
-        ax.plot(spy_values.index, spy_values, label='SPY Buy & Hold', 
-                linewidth=2, color='green')
-        
-        ax.set_title('Portfolio Value Comparison Over Time', fontsize=16, fontweight='bold')
-        ax.set_xlabel('Date', fontsize=12)
-        ax.set_ylabel('Portfolio Value ($)', fontsize=12)
-        ax.legend(fontsize=11)
-        ax.grid(True, alpha=0.3)
-        
-        # Format y-axis as currency
-        ax.yaxis.set_major_formatter(plt.FuncFormatter(lambda x, p: f'${x:,.0f}'))
-        
-        plt.xticks(rotation=45)
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight')
-        plt.close()
-        
-        # Page 3: Annual Returns Comparison
-        fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(11, 8.5))
-        
-        # Annual returns bar chart
-        years = sorted(set(strategy_metrics['annual_returns'].keys()) | 
-                      set(qqq_metrics['annual_returns'].keys()) |
-                      set(spy_metrics['annual_returns'].keys()))
-        
-        strategy_annual = [strategy_metrics['annual_returns'].get(year, 0) for year in years]
-        qqq_annual = [qqq_metrics['annual_returns'].get(year, 0) for year in years]
-        spy_annual = [spy_metrics['annual_returns'].get(year, 0) for year in years]
-        
-        x = np.arange(len(years))
-        width = 0.25
-        
-        ax1.bar(x - width, strategy_annual, width, label='Emotional Damage', color='red', alpha=0.7)
-        ax1.bar(x, qqq_annual, width, label='QQQ Buy & Hold', color='blue', alpha=0.7)
-        ax1.bar(x + width, spy_annual, width, label='SPY Buy & Hold', color='green', alpha=0.7)
-        
-        ax1.set_title('Annual Returns Comparison', fontsize=14, fontweight='bold')
-        ax1.set_xlabel('Year')
-        ax1.set_ylabel('Annual Return (%)')
-        ax1.set_xticks(x)
-        ax1.set_xticklabels(years, rotation=45)
-        ax1.legend()
-        ax1.grid(True, alpha=0.3)
-        ax1.axhline(y=0, color='black', linestyle='-', alpha=0.5)
-        
-        # Drawdown chart
-        strategy_peak = strategy_values.expanding().max()
-        strategy_dd = (strategy_values - strategy_peak) / strategy_peak * 100
-        
-        qqq_peak = qqq_values.expanding().max()
-        qqq_dd = (qqq_values - qqq_peak) / qqq_peak * 100
-        
-        spy_peak = spy_values.expanding().max()
-        spy_dd = (spy_values - spy_peak) / spy_peak * 100
-        
-        ax2.fill_between(strategy_dd.index, strategy_dd, 0, alpha=0.3, color='red', label='Emotional Damage')
-        ax2.fill_between(qqq_dd.index, qqq_dd, 0, alpha=0.3, color='blue', label='QQQ Buy & Hold')
-        ax2.fill_between(spy_dd.index, spy_dd, 0, alpha=0.3, color='green', label='SPY Buy & Hold')
-        
-        ax2.set_title('Drawdown Comparison', fontsize=14, fontweight='bold')
-        ax2.set_xlabel('Date')
-        ax2.set_ylabel('Drawdown (%)')
-        ax2.legend()
-        ax2.grid(True, alpha=0.3)
-        
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight')
-        plt.close()
-        
-        # Page 4: Strategy Trades and Fear & Greed Index
-        fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(11, 8.5))
-        
-        # Fear & Greed Index over time
-        fg_data = portfolio_df['fg_index']
-        ax1.plot(fg_data.index, fg_data, color='purple', linewidth=1)
-        ax1.axhline(y=25, color='red', linestyle='--', alpha=0.7, label='Fear Threshold (25)')
-        ax1.axhline(y=75, color='green', linestyle='--', alpha=0.7, label='Greed Threshold (75)')
-        ax1.fill_between(fg_data.index, 0, 25, alpha=0.2, color='red', label='Extreme Fear')
-        ax1.fill_between(fg_data.index, 75, 100, alpha=0.2, color='green', label='Extreme Greed')
-        
-        ax1.set_title('CNN Fear & Greed Index Over Time', fontsize=14, fontweight='bold')
-        ax1.set_ylabel('Fear & Greed Index')
-        ax1.legend()
-        ax1.grid(True, alpha=0.3)
-        ax1.set_ylim(0, 100)
-        
-        # Strategy state over time
-        states = portfolio_df['state']
-        state_colors = {'QQQ_HOLD': 'blue', 'CASH_WAIT': 'gray', 'VOLATILE_STOCKS': 'orange'}
-        
-        for i, state in enumerate(states.unique()):
-            mask = states == state
-            ax2.scatter(states[mask].index, [i] * sum(mask), 
-                       c=state_colors.get(state, 'black'), label=state, alpha=0.6, s=1)
-        
-        ax2.set_title('Strategy State Over Time', fontsize=14, fontweight='bold')
-        ax2.set_xlabel('Date')
-        ax2.set_ylabel('Strategy State')
-        ax2.set_yticks(range(len(states.unique())))
-        ax2.set_yticklabels(states.unique())
-        ax2.legend()
-        ax2.grid(True, alpha=0.3)
-        
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight')
-        plt.close()
-        
-        # Page 5: Trade Log (Recent Trades)
-        fig, ax = plt.subplots(figsize=(11, 8.5))
-        ax.axis('off')
-        
-        ax.text(0.5, 0.95, 'Recent Trade Log (Last 20 Trades)', 
-                fontsize=16, fontweight='bold', ha='center')
-        
-        # Get recent trades
-        recent_trades = strategy.trades[-20:] if len(strategy.trades) >= 20 else strategy.trades
-        
-        trade_data = [['Date', 'Action', 'Ticker', 'Shares', 'Price', 'Value']]
-        
-        for trade in recent_trades:
-            trade_data.append([
-                trade['date'].strftime('%Y-%m-%d'),
-                trade['action'],
-                trade['ticker'],
-                f"{trade['shares']:.2f}",
-                f"${trade['price']:.2f}",
-                f"${trade['value']:,.2f}"
-            ])
-        
-        # Create table
-        if len(trade_data) > 1:
-            table = ax.table(cellText=trade_data[1:], colLabels=trade_data[0],
-                           cellLoc='center', loc='center', bbox=[0.05, 0.1, 0.9, 0.8])
-            table.auto_set_font_size(False)
-            table.set_fontsize(9)
-            table.scale(1, 1.5)
-            
-            # Style header row
-            for i in range(len(trade_data[0])):
-                table[(0, i)].set_facecolor('#4472C4')
-                table[(0, i)].set_text_props(weight='bold', color='white')
-        
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight')
-        plt.close()
-    
-    print(f"PDF report saved as: {pdf_filename}")
-    return pdf_filename
-
-if __name__ == "__main__":
-    create_pdf_report()

backtest/main.py

@@ -1,23 +0,0 @@
-#!/usr/bin/env python3
-"""
-Main entry point for the backtest platform
-"""
-
-import sys
-import os
-from data.data_manager import DataManager
-
-def main():
-    print("回测平台启动中...")
-    
-    # Initialize data manager
-    dm = DataManager()
-    
-    print("开始下载QQQ成分股数据 (2000-2025)...")
-    dm.update_all_data()
-    
-    print("数据下载完成！")
-    print(f"可用股票: {len(dm.get_available_tickers())} 只")
-
-if __name__ == "__main__":
-    main()

backtest/reports/detailed_trades_20250718_183737.txt

@@ -0,0 +1,233 @@
+Enhanced Emotional Damage Strategy - Detailed Trades Report
+========================================================================================================================
+
+📊 交易摘要:
+总交易数: 216
+交易时间: 2008-01-09 到 2025-05-23
+
+交易类型统计:
+  SELL_GRADUAL: 120
+  BUY_GRADUAL: 68
+  STOP_LOSS: 15
+  BUY_QQQ_STOPLOSS: 13
+
+📋 详细交易记录:
+========================================================================================================================
+ No       Date          Action Ticker   Shares   Price        Value  F&G         Cash           State
+========================================================================================================================
+  1 2008-01-09    SELL_GRADUAL   QQQ      609 $  41.37 $      25,193   26      $25,208 FEAR_TRANSITION
+  2 2008-01-10    SELL_GRADUAL   QQQ      609 $  41.43 $      25,230   33      $50,438 FEAR_TRANSITION
+  3 2008-01-11    SELL_GRADUAL   QQQ      609 $  40.62 $      24,736   28      $75,174 FEAR_TRANSITION
+  4 2008-01-14    SELL_GRADUAL   QQQ      609 $  41.33 $      25,167   31     $100,341 FEAR_TRANSITION
+  5 2008-01-16     BUY_GRADUAL  ILMN      745 $  33.63 $      25,057   27      $75,284 GREED_TRANSITION
+  6 2008-01-17     BUY_GRADUAL  TMUS      852 $  29.42 $      25,063   20      $50,221 GREED_TRANSITION
+  7 2008-01-18     BUY_GRADUAL  DXCM    11274 $   2.22 $      25,085   20      $25,137 GREED_TRANSITION
+  8 2008-01-22     BUY_GRADUAL  SBUX     3549 $   7.07 $      25,085   19          $52 GREED_TRANSITION
+  9 2008-03-10       STOP_LOSS  DXCM    11274 $   1.51 $      17,052   27      $17,104 VOLATILE_STOCKS
+ 10 2008-03-10 BUY_QQQ_STOPLOSS   QQQ      478 $  35.62 $      17,026   27          $78 VOLATILE_STOCKS
+ 11 2008-10-06       STOP_LOSS  SBUX     3549 $   4.91 $      17,427   21      $17,504 VOLATILE_STOCKS
+ 12 2008-10-06 BUY_QQQ_STOPLOSS   QQQ      577 $  30.16 $      17,402   21         $103 VOLATILE_STOCKS
+ 13 2008-10-23       STOP_LOSS  ILMN      745 $  22.69 $      16,907   29      $17,010 VOLATILE_STOCKS
+ 14 2008-10-23 BUY_QQQ_STOPLOSS   QQQ      640 $  26.38 $      16,882   29         $128 VOLATILE_STOCKS
+ 15 2008-10-24       STOP_LOSS  TMUS      852 $  20.55 $      17,511   26      $17,639 VOLATILE_STOCKS
+ 16 2008-10-24 BUY_QQQ_STOPLOSS   QQQ      685 $  25.53 $      17,488   26         $151 VOLATILE_STOCKS
+ 17 2009-05-05     BUY_GRADUAL   QQQ        1 $  30.39 $          30   76         $121  QQQ_TRANSITION
+ 18 2009-05-06     BUY_GRADUAL   QQQ        1 $  30.40 $          30   82          $91  QQQ_TRANSITION
+ 19 2009-05-07     BUY_GRADUAL   QQQ        1 $  29.69 $          30   78          $61  QQQ_TRANSITION
+ 20 2009-05-08     BUY_GRADUAL   QQQ        1 $  29.71 $          30   75          $31  QQQ_TRANSITION
+ 21 2010-05-27    SELL_GRADUAL   QQQ      596 $  40.00 $      23,842   34      $23,873 FEAR_TRANSITION
+ 22 2010-05-28    SELL_GRADUAL   QQQ      596 $  39.77 $      23,702   33      $47,575 FEAR_TRANSITION
+ 23 2010-06-01    SELL_GRADUAL   QQQ      596 $  39.40 $      23,484   27      $71,059 FEAR_TRANSITION
+ 24 2010-06-02    SELL_GRADUAL   QQQ      596 $  40.34 $      24,040   38      $95,099 FEAR_TRANSITION
+ 25 2010-06-04     BUY_GRADUAL  SIRI     2679 $   8.87 $      23,772   37      $71,327 GREED_TRANSITION
+ 26 2010-06-07     BUY_GRADUAL  NFLX     1524 $  15.59 $      23,766   35      $47,562 GREED_TRANSITION
+ 27 2010-06-08     BUY_GRADUAL  TMUS     1776 $  13.38 $      23,771   34      $23,791 GREED_TRANSITION
+ 28 2010-06-09     BUY_GRADUAL  LULU     1216 $  19.55 $      23,773   33          $18 GREED_TRANSITION
+ 29 2010-11-04    SELL_GRADUAL  SIRI      669 $  13.31 $       8,904   80       $8,922  QQQ_TRANSITION
+ 30 2010-11-04    SELL_GRADUAL  NFLX      381 $  23.97 $       9,134   80      $18,057  QQQ_TRANSITION
+ 31 2010-11-04    SELL_GRADUAL  TMUS      444 $  18.36 $       8,151   80      $26,207  QQQ_TRANSITION
+ 32 2010-11-04    SELL_GRADUAL  LULU      304 $  22.50 $       6,840   80      $33,047  QQQ_TRANSITION
+ 33 2010-11-05    SELL_GRADUAL  SIRI      669 $  13.85 $       9,268   80      $42,315  QQQ_TRANSITION
+ 34 2010-11-05    SELL_GRADUAL  NFLX      381 $  24.01 $       9,149   80      $51,464  QQQ_TRANSITION
+ 35 2010-11-05    SELL_GRADUAL  TMUS      444 $  18.92 $       8,402   80      $59,866  QQQ_TRANSITION
+ 36 2010-11-05    SELL_GRADUAL  LULU      304 $  24.05 $       7,310   80      $67,176  QQQ_TRANSITION
+ 37 2010-11-05     BUY_GRADUAL   QQQ      709 $  47.10 $      33,392   80      $33,784  QQQ_TRANSITION
+ 38 2010-11-08    SELL_GRADUAL  SIRI      669 $  14.03 $       9,389   78      $43,173  QQQ_TRANSITION
+ 39 2010-11-08    SELL_GRADUAL  NFLX      381 $  24.16 $       9,206   78      $52,378  QQQ_TRANSITION
+ 40 2010-11-08    SELL_GRADUAL  TMUS      444 $  19.71 $       8,753   78      $61,131  QQQ_TRANSITION
+ 41 2010-11-08    SELL_GRADUAL  LULU      304 $  24.77 $       7,532   78      $68,662  QQQ_TRANSITION
+ 42 2010-11-08     BUY_GRADUAL   QQQ      708 $  47.16 $      33,388   78      $35,274  QQQ_TRANSITION
+ 43 2010-11-09    SELL_GRADUAL  SIRI      669 $  13.49 $       9,026   74      $44,300  QQQ_TRANSITION
+ 44 2010-11-09    SELL_GRADUAL  NFLX      381 $  24.35 $       9,278   74      $53,577  QQQ_TRANSITION
+ 45 2010-11-09    SELL_GRADUAL  TMUS      444 $  19.34 $       8,588   74      $62,165  QQQ_TRANSITION
+ 46 2010-11-09    SELL_GRADUAL  LULU      304 $  24.09 $       7,323   74      $69,489  QQQ_TRANSITION
+ 47 2010-11-09     BUY_GRADUAL   QQQ      712 $  46.90 $      33,396   74      $36,093  QQQ_TRANSITION
+ 48 2011-08-05    SELL_GRADUAL   QQQ      532 $  47.50 $      25,272   16      $61,365 FEAR_TRANSITION
+ 49 2011-08-08    SELL_GRADUAL   QQQ      532 $  44.65 $      23,751   12      $85,116 FEAR_TRANSITION
+ 50 2011-08-09    SELL_GRADUAL   QQQ      532 $  46.80 $      24,897   21     $110,013 FEAR_TRANSITION
+ 51 2011-08-10    SELL_GRADUAL   QQQ      532 $  44.88 $      23,878   16     $133,891 FEAR_TRANSITION
+ 52 2011-08-16     BUY_GRADUAL   AMD     5281 $   6.34 $      33,482   28     $100,410 GREED_TRANSITION
+ 53 2011-08-17     BUY_GRADUAL  DXCM    11842 $   2.83 $      33,483   27      $66,926 GREED_TRANSITION
+ 54 2011-08-18     BUY_GRADUAL  ILMN      730 $  45.82 $      33,446   21      $33,480 GREED_TRANSITION
+ 55 2011-10-07       STOP_LOSS  ILMN      730 $  26.44 $      19,301   46      $52,781 VOLATILE_STOCKS
+ 56 2011-10-07 BUY_QQQ_STOPLOSS   QQQ      403 $  47.80 $      19,265   46      $33,516 VOLATILE_STOCKS
+ 57 2011-11-10       STOP_LOSS  DXCM    11842 $   1.77 $      20,960   52      $54,476 VOLATILE_STOCKS
+ 58 2011-11-10 BUY_QQQ_STOPLOSS   QQQ      417 $  50.20 $      20,934   52      $33,542 VOLATILE_STOCKS
+ 59 2012-01-20    SELL_GRADUAL   AMD     1320 $   6.42 $       8,474   76      $42,017  QQQ_TRANSITION
+ 60 2012-01-20     BUY_GRADUAL   QQQ      313 $  53.05 $      16,604   76      $25,413  QQQ_TRANSITION
+ 61 2012-01-23    SELL_GRADUAL   AMD     1320 $   6.52 $       8,606   75      $34,019  QQQ_TRANSITION
+ 62 2012-01-23     BUY_GRADUAL   QQQ      313 $  53.06 $      16,609   75      $17,410  QQQ_TRANSITION
+ 63 2012-01-24    SELL_GRADUAL   AMD     1320 $   6.53 $       8,620   74      $26,030  QQQ_TRANSITION
+ 64 2012-01-24     BUY_GRADUAL   QQQ      313 $  52.97 $      16,579   74       $9,451  QQQ_TRANSITION
+ 65 2012-01-25    SELL_GRADUAL   AMD     1320 $   6.73 $       8,884   75      $18,335  QQQ_TRANSITION
+ 66 2012-01-25     BUY_GRADUAL   QQQ      309 $  53.63 $      16,572   75       $1,763  QQQ_TRANSITION
+ 67 2012-05-21    SELL_GRADUAL   QQQ      517 $  55.57 $      28,731   34      $30,494 FEAR_TRANSITION
+ 68 2012-05-22    SELL_GRADUAL   QQQ      517 $  55.51 $      28,699   34      $59,192 FEAR_TRANSITION
+ 69 2012-05-23    SELL_GRADUAL   QQQ      517 $  55.62 $      28,754   33      $87,946 FEAR_TRANSITION
+ 70 2012-05-24    SELL_GRADUAL   QQQ      517 $  55.25 $      28,566   32     $116,512 FEAR_TRANSITION
+ 71 2012-05-29     BUY_GRADUAL  VRTX      504 $  57.80 $      29,131   39      $87,381 GREED_TRANSITION
+ 72 2012-05-30     BUY_GRADUAL  NXPI     1509 $  19.31 $      29,134   33      $58,247 GREED_TRANSITION
+ 73 2012-05-31     BUY_GRADUAL  REGN      215 $ 135.28 $      29,084   34      $29,162 GREED_TRANSITION
+ 74 2012-06-01     BUY_GRADUAL  MNST     2478 $  11.76 $      29,133   27          $29 GREED_TRANSITION
+ 75 2012-07-20       STOP_LOSS   AMD        1 $   4.22 $           4   55          $34 VOLATILE_STOCKS
+ 76 2012-10-22       STOP_LOSS  MNST     2478 $   7.62 $      18,886   48      $18,920 VOLATILE_STOCKS
+ 77 2012-10-22 BUY_QQQ_STOPLOSS   QQQ      320 $  59.00 $      18,879   48          $42 VOLATILE_STOCKS
+ 78 2012-11-27       STOP_LOSS  VRTX      504 $  39.98 $      20,150   49      $20,191 VOLATILE_STOCKS
+ 79 2012-11-27 BUY_QQQ_STOPLOSS   QQQ      347 $  58.05 $      20,143   49          $49 VOLATILE_STOCKS
+ 80 2013-01-24    SELL_GRADUAL  NXPI      377 $  26.46 $       9,976   75      $10,025  QQQ_TRANSITION
+ 81 2013-01-24    SELL_GRADUAL  REGN       53 $ 172.66 $       9,151   75      $19,176  QQQ_TRANSITION
+ 82 2013-01-25    SELL_GRADUAL  NXPI      377 $  26.98 $      10,173   77      $29,349  QQQ_TRANSITION
+ 83 2013-01-25    SELL_GRADUAL  REGN       53 $ 174.00 $       9,222   77      $38,571  QQQ_TRANSITION
+ 84 2013-01-25     BUY_GRADUAL   QQQ      323 $  60.20 $      19,446   77      $19,125  QQQ_TRANSITION
+ 85 2013-01-28    SELL_GRADUAL  NXPI      377 $  27.35 $      10,311   76      $29,436  QQQ_TRANSITION
+ 86 2013-01-28    SELL_GRADUAL  REGN       53 $ 170.43 $       9,033   76      $38,468  QQQ_TRANSITION
+ 87 2013-01-28     BUY_GRADUAL   QQQ      322 $  60.34 $      19,429   76      $19,039  QQQ_TRANSITION
+ 88 2013-01-29    SELL_GRADUAL  NXPI      377 $  26.46 $       9,976   77      $29,015  QQQ_TRANSITION
+ 89 2013-01-29    SELL_GRADUAL  REGN       53 $ 174.48 $       9,247   77      $38,263  QQQ_TRANSITION
+ 90 2013-01-29     BUY_GRADUAL   QQQ      322 $  60.35 $      19,432   77      $18,831  QQQ_TRANSITION
+ 91 2015-08-25    SELL_GRADUAL   QQQ      409 $  90.96 $      37,201   19      $56,032 FEAR_TRANSITION
+ 92 2015-08-26    SELL_GRADUAL   QQQ      409 $  95.54 $      39,075   30      $95,107 FEAR_TRANSITION
+ 93 2015-08-27    SELL_GRADUAL   QQQ      409 $  97.96 $      40,065   37     $135,171 FEAR_TRANSITION
+ 94 2015-08-28    SELL_GRADUAL   QQQ      409 $  97.94 $      40,057   37     $175,229 FEAR_TRANSITION
+ 95 2015-09-01     BUY_GRADUAL  NFLX      418 $ 105.79 $      44,220   29     $131,008 GREED_TRANSITION
+ 96 2015-09-02     BUY_GRADUAL  NVDA    81954 $   0.54 $      44,236   34      $86,772 GREED_TRANSITION
+ 97 2015-09-03     BUY_GRADUAL    MU     2730 $  16.20 $      44,236   36      $42,537 GREED_TRANSITION
+ 98 2016-01-15       STOP_LOSS    MU     2730 $  10.82 $      29,544   23      $72,080 VOLATILE_STOCKS
+ 99 2016-01-15 BUY_QQQ_STOPLOSS   QQQ      314 $  94.02 $      29,522   23      $42,558 VOLATILE_STOCKS
+100 2017-02-16    SELL_GRADUAL  NFLX      104 $ 142.01 $      14,769   74      $57,327  QQQ_TRANSITION
+101 2017-02-16    SELL_GRADUAL  NVDA    20488 $   2.64 $      54,120   74     $111,447  QQQ_TRANSITION
+102 2017-02-16     BUY_GRADUAL   QQQ      663 $ 121.85 $      80,788   74      $30,659  QQQ_TRANSITION
+103 2017-02-17    SELL_GRADUAL  NFLX      104 $ 142.22 $      14,791   74      $45,450  QQQ_TRANSITION
+104 2017-02-17    SELL_GRADUAL  NVDA    20488 $   2.64 $      54,110   74      $99,560  QQQ_TRANSITION
+105 2017-02-17     BUY_GRADUAL   QQQ      660 $ 122.38 $      80,771   74      $18,790  QQQ_TRANSITION
+106 2017-02-21    SELL_GRADUAL  NFLX      104 $ 142.60 $      14,830   76      $33,620  QQQ_TRANSITION
+107 2017-02-21    SELL_GRADUAL  NVDA    20488 $   2.74 $      56,048   76      $89,668  QQQ_TRANSITION
+108 2017-02-21     BUY_GRADUAL   QQQ      657 $ 122.98 $      80,800   76       $8,868  QQQ_TRANSITION
+109 2017-02-22    SELL_GRADUAL  NFLX      104 $ 143.86 $      14,961   75      $23,829  QQQ_TRANSITION
+110 2017-02-22    SELL_GRADUAL  NVDA    20488 $   2.73 $      55,962   75      $79,791  QQQ_TRANSITION
+111 2018-12-18    SELL_GRADUAL   QQQ      573 $ 151.55 $      86,840   24     $166,631 FEAR_TRANSITION
+112 2018-12-19    SELL_GRADUAL   QQQ      573 $ 147.83 $      84,708   23     $251,339 FEAR_TRANSITION
+113 2018-12-20    SELL_GRADUAL   QQQ      573 $ 145.69 $      83,480   22     $334,818 FEAR_TRANSITION
+114 2018-12-21    SELL_GRADUAL   QQQ      573 $ 141.17 $      80,892   20     $415,711 FEAR_TRANSITION
+115 2018-12-27     BUY_GRADUAL    ZS     2598 $  40.17 $     104,362   28     $311,349 GREED_TRANSITION
+116 2018-12-28     BUY_GRADUAL   AMD     5857 $  17.82 $     104,372   26     $206,977 GREED_TRANSITION
+117 2018-12-31     BUY_GRADUAL   MDB     1246 $  83.74 $     104,340   30     $102,637 GREED_TRANSITION
+118 2019-04-24    SELL_GRADUAL    ZS      649 $  64.99 $      42,179   75     $144,816  QQQ_TRANSITION
+119 2019-04-24    SELL_GRADUAL   AMD     1464 $  28.46 $      41,665   75     $186,481  QQQ_TRANSITION
+120 2019-04-24    SELL_GRADUAL   MDB      311 $ 135.16 $      42,035   75     $228,516  QQQ_TRANSITION
+121 2019-04-24     BUY_GRADUAL   QQQ      835 $ 182.34 $     152,252   75      $76,264  QQQ_TRANSITION
+122 2019-04-25    SELL_GRADUAL    ZS      649 $  66.96 $      43,457   74     $119,721  QQQ_TRANSITION
+123 2019-04-25    SELL_GRADUAL   AMD     1464 $  27.66 $      40,494   74     $160,216  QQQ_TRANSITION
+124 2019-04-25    SELL_GRADUAL   MDB      311 $ 137.66 $      42,812   74     $203,028  QQQ_TRANSITION
+125 2019-04-25     BUY_GRADUAL   QQQ      832 $ 183.08 $     152,320   74      $50,707  QQQ_TRANSITION
+126 2019-04-26    SELL_GRADUAL    ZS      649 $  66.94 $      43,444   74      $94,151  QQQ_TRANSITION
+127 2019-04-26    SELL_GRADUAL   AMD     1464 $  27.88 $      40,816   74     $134,968  QQQ_TRANSITION
+128 2019-04-26    SELL_GRADUAL   MDB      311 $ 138.98 $      43,223   74     $178,191  QQQ_TRANSITION
+129 2019-04-26     BUY_GRADUAL   QQQ      831 $ 183.24 $     152,273   74      $25,917  QQQ_TRANSITION
+130 2019-04-29    SELL_GRADUAL    ZS      649 $  68.20 $      44,262   74      $70,179  QQQ_TRANSITION
+131 2019-04-29    SELL_GRADUAL   AMD     1464 $  27.69 $      40,538   74     $110,717  QQQ_TRANSITION
+132 2019-04-29    SELL_GRADUAL   MDB      311 $ 137.50 $      42,762   74     $153,480  QQQ_TRANSITION
+133 2019-04-29     BUY_GRADUAL   QQQ      830 $ 183.60 $     152,385   74       $1,095  QQQ_TRANSITION
+134 2020-02-28    SELL_GRADUAL   QQQ      832 $ 199.07 $     165,626   20     $166,721 FEAR_TRANSITION
+135 2020-03-02    SELL_GRADUAL   QQQ      832 $ 209.34 $     174,173   37     $340,894 FEAR_TRANSITION
+136 2020-03-03    SELL_GRADUAL   QQQ      832 $ 202.63 $     168,588   29     $509,482 FEAR_TRANSITION
+137 2020-03-04    SELL_GRADUAL   QQQ      832 $ 211.08 $     175,622   38     $685,103 FEAR_TRANSITION
+138 2020-03-06     BUY_GRADUAL  MRNA     5809 $  29.61 $     172,004   25     $513,099 GREED_TRANSITION
+139 2020-03-09     BUY_GRADUAL  TSLA     4243 $  40.53 $     171,983   17     $341,116 GREED_TRANSITION
+140 2020-03-10     BUY_GRADUAL  MRVL     7604 $  22.62 $     172,007   25     $169,109 GREED_TRANSITION
+141 2020-03-18       STOP_LOSS  TSLA     4243 $  24.08 $     102,177   22     $271,286 VOLATILE_STOCKS
+142 2020-03-18 BUY_QQQ_STOPLOSS   QQQ      598 $ 170.82 $     102,153   22     $169,133 VOLATILE_STOCKS
+143 2020-06-03    SELL_GRADUAL  MRNA     1452 $  59.89 $      86,960   79     $256,093  QQQ_TRANSITION
+144 2020-06-03    SELL_GRADUAL  MRVL     1901 $  35.14 $      66,809   79     $322,902  QQQ_TRANSITION
+145 2020-06-03     BUY_GRADUAL   QQQ      847 $ 229.44 $     194,334   79     $128,569  QQQ_TRANSITION
+146 2020-06-04    SELL_GRADUAL  MRNA     1452 $  60.59 $      87,977   79     $216,545  QQQ_TRANSITION
+147 2020-06-04    SELL_GRADUAL  MRVL     1901 $  35.08 $      66,679   79     $283,225  QQQ_TRANSITION
+148 2020-06-04     BUY_GRADUAL   QQQ      853 $ 227.83 $     194,338   79      $88,887  QQQ_TRANSITION
+149 2020-06-05    SELL_GRADUAL  MRNA     1452 $  58.19 $      84,492   84     $173,379  QQQ_TRANSITION
+150 2020-06-05    SELL_GRADUAL  MRVL     1901 $  35.08 $      66,679   84     $240,058  QQQ_TRANSITION
+151 2020-06-05     BUY_GRADUAL   QQQ      836 $ 232.35 $     194,241   84      $45,817  QQQ_TRANSITION
+152 2020-06-08    SELL_GRADUAL  MRNA     1452 $  59.10 $      85,813   83     $131,630  QQQ_TRANSITION
+153 2020-06-08    SELL_GRADUAL  MRVL     1901 $  34.16 $      64,933   83     $196,563  QQQ_TRANSITION
+154 2020-06-08     BUY_GRADUAL   QQQ      830 $ 234.15 $     194,343   83       $2,219  QQQ_TRANSITION
+155 2022-01-26    SELL_GRADUAL   QQQ      991 $ 336.81 $     333,783   24     $336,002 FEAR_TRANSITION
+156 2022-01-27    SELL_GRADUAL   QQQ      991 $ 333.42 $     330,421   23     $666,424 FEAR_TRANSITION
+157 2022-01-28    SELL_GRADUAL   QQQ      991 $ 343.88 $     340,787   32   $1,007,210 FEAR_TRANSITION
+158 2022-01-31    SELL_GRADUAL   QQQ      991 $ 354.88 $     351,684   41   $1,358,895 FEAR_TRANSITION
+159 2022-02-02     BUY_GRADUAL  NFLX      793 $ 429.48 $     340,578   47   $1,018,317 GREED_TRANSITION
+160 2022-02-03     BUY_GRADUAL   PDD     6184 $  55.13 $     340,924   43     $677,393 GREED_TRANSITION
+161 2022-02-04     BUY_GRADUAL   WBD    11796 $  28.90 $     340,904   46     $336,489 GREED_TRANSITION
+162 2022-03-10       STOP_LOSS   PDD     6184 $  35.76 $     221,140   34     $557,629 VOLATILE_STOCKS
+163 2022-03-10 BUY_QQQ_STOPLOSS   QQQ      682 $ 323.81 $     220,841   34     $336,788 VOLATILE_STOCKS
+164 2022-04-26       STOP_LOSS   WBD    11796 $  19.83 $     233,915   30     $570,702 VOLATILE_STOCKS
+165 2022-04-26 BUY_QQQ_STOPLOSS   QQQ      753 $ 310.38 $     233,720   30     $336,983 VOLATILE_STOCKS
+166 2022-08-16    SELL_GRADUAL  NFLX      198 $ 245.69 $      48,647   76     $385,629  QQQ_TRANSITION
+167 2022-08-16     BUY_GRADUAL   QQQ      413 $ 325.83 $     134,567   76     $251,062  QQQ_TRANSITION
+168 2022-08-17    SELL_GRADUAL  NFLX      198 $ 241.15 $      47,748   72     $298,810  QQQ_TRANSITION
+169 2022-08-17     BUY_GRADUAL   QQQ      418 $ 322.11 $     134,642   72     $164,168  QQQ_TRANSITION
+170 2022-08-18    SELL_GRADUAL  NFLX      198 $ 245.17 $      48,544   73     $212,711  QQQ_TRANSITION
+171 2022-08-18     BUY_GRADUAL   QQQ      417 $ 322.89 $     134,643   73      $78,068  QQQ_TRANSITION
+172 2022-08-19    SELL_GRADUAL  NFLX      198 $ 241.16 $      47,750   68     $125,818  QQQ_TRANSITION
+173 2022-09-26    SELL_GRADUAL   QQQ      671 $ 269.53 $     180,852   25     $306,669 FEAR_TRANSITION
+174 2022-09-27    SELL_GRADUAL   QQQ      671 $ 269.63 $     180,924   26     $487,593 FEAR_TRANSITION
+175 2022-09-28    SELL_GRADUAL   QQQ      671 $ 275.00 $     184,523   33     $672,117 FEAR_TRANSITION
+176 2022-09-29    SELL_GRADUAL   QQQ      671 $ 267.07 $     179,204   29     $851,320 FEAR_TRANSITION
+177 2022-10-03     BUY_GRADUAL  BIIB      809 $ 264.30 $     213,819   32     $637,502 GREED_TRANSITION
+178 2022-10-04     BUY_GRADUAL  REGN      289 $ 737.50 $     213,138   42     $424,364 GREED_TRANSITION
+179 2022-10-05     BUY_GRADUAL  NFLX      903 $ 236.73 $     213,767   42     $210,597 GREED_TRANSITION
+180 2023-02-03    SELL_GRADUAL  REGN       73 $ 780.97 $      57,011   72     $267,608  QQQ_TRANSITION
+181 2023-02-03    SELL_GRADUAL  NFLX      226 $ 365.90 $      82,693   72     $350,301  QQQ_TRANSITION
+182 2023-02-03    SELL_GRADUAL  BIIB      202 $ 283.63 $      57,293   72     $407,594  QQQ_TRANSITION
+183 2023-02-03     BUY_GRADUAL   QQQ      825 $ 301.49 $     248,733   72     $158,862  QQQ_TRANSITION
+184 2023-02-06    SELL_GRADUAL  REGN       73 $ 778.71 $      56,846   65     $215,707  QQQ_TRANSITION
+185 2023-02-06    SELL_GRADUAL  NFLX      226 $ 361.48 $      81,694   65     $297,402  QQQ_TRANSITION
+186 2023-02-06    SELL_GRADUAL  BIIB      202 $ 288.28 $      58,233   65     $355,634  QQQ_TRANSITION
+187 2023-02-06     BUY_GRADUAL   QQQ      832 $ 298.94 $     248,721   65     $106,913  QQQ_TRANSITION
+188 2023-02-07    SELL_GRADUAL  REGN       73 $ 767.82 $      56,051   70     $162,964  QQQ_TRANSITION
+189 2023-02-07    SELL_GRADUAL  NFLX      226 $ 362.95 $      82,027   70     $244,991  QQQ_TRANSITION
+190 2023-02-07    SELL_GRADUAL  BIIB      202 $ 291.43 $      58,869   70     $303,859  QQQ_TRANSITION
+191 2023-02-07     BUY_GRADUAL   QQQ      815 $ 305.14 $     248,687   70      $55,173  QQQ_TRANSITION
+192 2023-02-08    SELL_GRADUAL  REGN       73 $ 747.59 $      54,574   64     $109,747  QQQ_TRANSITION
+193 2023-02-08    SELL_GRADUAL  NFLX      226 $ 366.83 $      82,904   64     $192,650  QQQ_TRANSITION
+194 2023-02-08    SELL_GRADUAL  BIIB      202 $ 285.45 $      57,661   64     $250,311  QQQ_TRANSITION
+195 2023-02-08     BUY_GRADUAL   QQQ      830 $ 299.71 $     248,761   64       $1,551  QQQ_TRANSITION
+196 2024-10-03       STOP_LOSS  BIIB        1 $ 184.78 $         185   62       $1,735        QQQ_HOLD
+197 2025-04-07    SELL_GRADUAL   QQQ      825 $ 423.21 $     349,152   24     $350,888 FEAR_TRANSITION
+198 2025-04-08    SELL_GRADUAL   QQQ      825 $ 415.59 $     342,864   23     $693,752 FEAR_TRANSITION
+199 2025-04-09    SELL_GRADUAL   QQQ      825 $ 465.48 $     384,019   39   $1,077,771 FEAR_TRANSITION
+200 2025-04-10    SELL_GRADUAL   QQQ      825 $ 445.68 $     367,686   34   $1,445,456 FEAR_TRANSITION
+201 2025-04-14     BUY_GRADUAL  MCHP     9386 $  38.58 $     362,125   37   $1,083,331 GREED_TRANSITION
+202 2025-04-15     BUY_GRADUAL   WBD    43896 $   8.25 $     362,142   38     $721,189 GREED_TRANSITION
+203 2025-04-16       STOP_LOSS   WBD    43896 $   7.92 $     347,656   32   $1,068,845 GREED_TRANSITION
+204 2025-04-16 BUY_QQQ_STOPLOSS   QQQ      783 $ 443.68 $     347,403   32     $721,443 GREED_TRANSITION
+205 2025-04-16     BUY_GRADUAL   AMD     4101 $  88.29 $     362,077   32     $359,365 GREED_TRANSITION
+206 2025-05-20    SELL_GRADUAL   AMD     1025 $ 113.51 $     116,348   76     $475,713  QQQ_TRANSITION
+207 2025-05-20    SELL_GRADUAL  MCHP     2346 $  60.33 $     141,541   76     $617,254  QQQ_TRANSITION
+208 2025-05-20     BUY_GRADUAL   QQQ      672 $ 519.69 $     349,229   76     $268,025  QQQ_TRANSITION
+209 2025-05-21    SELL_GRADUAL   AMD     1025 $ 112.06 $     114,861   69     $382,887  QQQ_TRANSITION
+210 2025-05-21    SELL_GRADUAL  MCHP     2346 $  58.79 $     137,933   69     $520,820  QQQ_TRANSITION
+211 2025-05-21     BUY_GRADUAL   QQQ      682 $ 512.46 $     349,501   69     $171,319  QQQ_TRANSITION
+212 2025-05-22    SELL_GRADUAL   AMD     1025 $ 110.71 $     113,478   67     $284,797  QQQ_TRANSITION
+213 2025-05-22    SELL_GRADUAL  MCHP     2346 $  58.05 $     136,185   67     $420,982  QQQ_TRANSITION
+214 2025-05-22     BUY_GRADUAL   QQQ      680 $ 513.42 $     349,128   67      $71,854  QQQ_TRANSITION
+215 2025-05-23    SELL_GRADUAL   AMD     1025 $ 110.31 $     113,068   62     $184,922  QQQ_TRANSITION
+216 2025-05-23    SELL_GRADUAL  MCHP     2346 $  56.19 $     131,822   62     $316,744  QQQ_TRANSITION

backtest/reports/detailed_trades_20250718_185722.txt

@@ -0,0 +1,220 @@
+Enhanced Emotional Damage Strategy - Detailed Trades Report
+========================================================================================================================
+
+📊 交易摘要:
+总交易数: 203
+交易时间: 2008-01-09 到 2025-05-23
+
+交易类型统计:
+  SELL_GRADUAL: 96
+  BUY_GRADUAL: 67
+  STOP_LOSS: 21
+  BUY_QQQ_STOPLOSS: 19
+
+📋 详细交易记录:
+======================================================================================================================================================
+ No       Date          Action Ticker   Shares   Price        Value  F&G         Cash       Assets           State
+======================================================================================================================================================
+  1 2008-01-09    SELL_GRADUAL   QQQ      609 $  41.37 $      25,193   26      $25,208     $100,829 FEAR_TRANSITION
+  2 2008-01-10    SELL_GRADUAL   QQQ      609 $  41.43 $      25,230   33      $50,438     $100,940 FEAR_TRANSITION
+  3 2008-01-11    SELL_GRADUAL   QQQ      609 $  40.62 $      24,736   28      $75,174      $99,951 FEAR_TRANSITION
+  4 2008-01-14    SELL_GRADUAL   QQQ      609 $  41.33 $      25,167   31     $100,341     $100,383 FEAR_TRANSITION
+  5 2008-01-16     BUY_GRADUAL  ILMN      745 $  33.63 $      25,057   27      $75,284     $100,381 GREED_TRANSITION
+  6 2008-01-17     BUY_GRADUAL  TMUS      852 $  29.42 $      25,063   20      $50,221      $99,964 GREED_TRANSITION
+  7 2008-01-18     BUY_GRADUAL  DXCM    11274 $   2.22 $      25,085   20      $25,137      $98,656 GREED_TRANSITION
+  8 2008-01-22     BUY_GRADUAL  SBUX     3549 $   7.07 $      25,085   19          $52      $97,152 GREED_TRANSITION
+  9 2008-02-20       STOP_LOSS  TMUS      852 $  24.77 $      21,101   54      $21,153      $94,385 VOLATILE_STOCKS
+ 10 2008-02-20 BUY_QQQ_STOPLOSS   QQQ      556 $  37.93 $      21,090   54          $63      $94,385 VOLATILE_STOCKS
+ 11 2008-02-28       STOP_LOSS  DXCM    11274 $   1.88 $      21,251   50      $21,314      $94,276 VOLATILE_STOCKS
+ 12 2008-02-28 BUY_QQQ_STOPLOSS   QQQ      557 $  38.09 $      21,215   50          $99      $94,276 VOLATILE_STOCKS
+ 13 2008-04-25       STOP_LOSS  SBUX     3549 $   6.00 $      21,310   69      $21,409      $95,418 VOLATILE_STOCKS
+ 14 2008-04-25 BUY_QQQ_STOPLOSS   QQQ      523 $  40.74 $      21,305   69         $104      $95,418 VOLATILE_STOCKS
+ 15 2008-10-09       STOP_LOSS  ILMN      745 $  28.21 $      21,017    9      $21,121      $65,760 VOLATILE_STOCKS
+ 16 2008-10-09 BUY_QQQ_STOPLOSS   QQQ      770 $  27.27 $      20,997    9         $124      $65,760 VOLATILE_STOCKS
+ 17 2009-05-05     BUY_GRADUAL   QQQ        1 $  30.39 $          30   76          $93      $73,275  QQQ_TRANSITION
+ 18 2009-05-06     BUY_GRADUAL   QQQ        1 $  30.40 $          30   82          $63      $73,296  QQQ_TRANSITION
+ 19 2009-05-07     BUY_GRADUAL   QQQ        1 $  29.69 $          30   78          $33      $71,582  QQQ_TRANSITION
+ 20 2009-05-08     BUY_GRADUAL   QQQ        1 $  29.71 $          30   75           $3      $71,624  QQQ_TRANSITION
+ 21 2010-05-27    SELL_GRADUAL   QQQ      602 $  40.00 $      24,082   34      $24,086      $96,453 FEAR_TRANSITION
+ 22 2010-05-28    SELL_GRADUAL   QQQ      602 $  39.77 $      23,941   33      $48,026      $96,027 FEAR_TRANSITION
+ 23 2010-06-01    SELL_GRADUAL   QQQ      602 $  39.40 $      23,720   27      $71,746      $95,585 FEAR_TRANSITION
+ 24 2010-06-02    SELL_GRADUAL   QQQ      602 $  40.34 $      24,282   38      $96,028      $96,149 FEAR_TRANSITION
+ 25 2010-06-04     BUY_GRADUAL  SIRI     2705 $   8.87 $      24,002   37      $72,026      $96,146 GREED_TRANSITION
+ 26 2010-06-07     BUY_GRADUAL  NFLX     1539 $  15.59 $      24,000   35      $48,026      $95,899 GREED_TRANSITION
+ 27 2010-06-08     BUY_GRADUAL  TMUS     1793 $  13.38 $      23,998   34      $24,028      $95,666 GREED_TRANSITION
+ 28 2010-06-09       STOP_LOSS  TMUS     1793 $  13.38 $      23,998   33      $48,026      $97,032 GREED_TRANSITION
+ 29 2010-06-09 BUY_QQQ_STOPLOSS   QQQ      627 $  38.22 $      23,961   33      $24,065      $97,032 GREED_TRANSITION
+ 30 2010-06-09     BUY_GRADUAL  LULU     1227 $  19.55 $      23,988   33          $77      $97,032 GREED_TRANSITION
+ 31 2010-08-30       STOP_LOSS  LULU     1227 $  15.95 $      19,571   31      $19,648      $94,278 VOLATILE_STOCKS
+ 32 2010-08-30 BUY_QQQ_STOPLOSS   QQQ      512 $  38.18 $      19,548   31         $100      $94,278 VOLATILE_STOCKS
+ 33 2010-11-04    SELL_GRADUAL  SIRI      676 $  13.31 $       8,998   80       $9,097     $126,785  QQQ_TRANSITION
+ 34 2010-11-04    SELL_GRADUAL  NFLX      384 $  23.97 $       9,206   80      $18,303     $126,785  QQQ_TRANSITION
+ 35 2010-11-05    SELL_GRADUAL  SIRI      676 $  13.85 $       9,365   80      $27,668     $127,933  QQQ_TRANSITION
+ 36 2010-11-05    SELL_GRADUAL  NFLX      384 $  24.01 $       9,221   80      $36,890     $127,933  QQQ_TRANSITION
+ 37 2010-11-05     BUY_GRADUAL   QQQ      404 $  47.10 $      19,027   80      $17,862     $127,933  QQQ_TRANSITION
+ 38 2010-11-08    SELL_GRADUAL  SIRI      676 $  14.03 $       9,487   78      $27,349     $128,387  QQQ_TRANSITION
+ 39 2010-11-08    SELL_GRADUAL  NFLX      384 $  24.16 $       9,278   78      $36,627     $128,387  QQQ_TRANSITION
+ 40 2010-11-08     BUY_GRADUAL   QQQ      404 $  47.16 $      19,052   78      $17,575     $128,387  QQQ_TRANSITION
+ 41 2010-11-09    SELL_GRADUAL  SIRI      676 $  13.49 $       9,120   74      $26,695     $127,596  QQQ_TRANSITION
+ 42 2010-11-09    SELL_GRADUAL  NFLX      384 $  24.35 $       9,351   74      $36,046     $127,596  QQQ_TRANSITION
+ 43 2010-11-09     BUY_GRADUAL   QQQ      406 $  46.90 $      19,043   74      $17,003     $127,596  QQQ_TRANSITION
+ 44 2011-08-05    SELL_GRADUAL   QQQ      589 $  47.50 $      27,980   16      $44,983     $129,044 FEAR_TRANSITION
+ 45 2011-08-08    SELL_GRADUAL   QQQ      589 $  44.65 $      26,296   12      $71,279     $123,983 FEAR_TRANSITION
+ 46 2011-08-09    SELL_GRADUAL   QQQ      589 $  46.80 $      27,564   21      $98,843     $126,526 FEAR_TRANSITION
+ 47 2011-08-10    SELL_GRADUAL   QQQ      589 $  44.88 $      26,436   16     $125,280     $125,395 FEAR_TRANSITION
+ 48 2011-08-16     BUY_GRADUAL   AMD     4944 $   6.34 $      31,345   28      $93,935     $125,400 GREED_TRANSITION
+ 49 2011-08-17     BUY_GRADUAL  DXCM    11087 $   2.83 $      31,348   27      $62,586     $124,408 GREED_TRANSITION
+ 50 2011-08-18     BUY_GRADUAL  ILMN      684 $  45.82 $      31,339   21      $31,247     $121,090 GREED_TRANSITION
+ 51 2011-09-29       STOP_LOSS   AMD     4944 $   5.31 $      26,253   36      $57,500     $119,987 VOLATILE_STOCKS
+ 52 2011-09-29 BUY_QQQ_STOPLOSS   QQQ      551 $  47.64 $      26,248   36      $31,252     $119,987 VOLATILE_STOCKS
+ 53 2011-10-07       STOP_LOSS  ILMN      684 $  26.44 $      18,085   46      $49,337     $106,508 VOLATILE_STOCKS
+ 54 2011-10-07 BUY_QQQ_STOPLOSS   QQQ      378 $  47.80 $      18,070   46      $31,267     $106,508 VOLATILE_STOCKS
+ 55 2011-10-25       STOP_LOSS  NFLX        3 $  11.05 $          33   58      $31,300     $107,461 VOLATILE_STOCKS
+ 56 2011-11-03       STOP_LOSS  DXCM    11087 $   1.97 $      21,814   63      $53,114     $100,849 VOLATILE_STOCKS
+ 57 2011-11-03 BUY_QQQ_STOPLOSS   QQQ      424 $  51.37 $      21,780   63      $31,334     $100,849 VOLATILE_STOCKS
+ 58 2012-01-20     BUY_GRADUAL   QQQ      147 $  53.05 $       7,798   76      $23,536     $103,125  QQQ_TRANSITION
+ 59 2012-01-23     BUY_GRADUAL   QQQ      147 $  53.06 $       7,800   75      $15,735     $103,151  QQQ_TRANSITION
+ 60 2012-01-24     BUY_GRADUAL   QQQ      147 $  52.97 $       7,786   74       $7,949     $102,990  QQQ_TRANSITION
+ 61 2012-01-25     BUY_GRADUAL   QQQ      146 $  53.63 $       7,830   75         $119     $104,184  QQQ_TRANSITION
+ 62 2012-05-21    SELL_GRADUAL   QQQ      485 $  55.57 $      26,953   34      $27,072     $107,948 FEAR_TRANSITION
+ 63 2012-05-22    SELL_GRADUAL   QQQ      485 $  55.51 $      26,922   34      $53,994     $107,857 FEAR_TRANSITION
+ 64 2012-05-23    SELL_GRADUAL   QQQ      485 $  55.62 $      26,974   33      $80,968     $107,961 FEAR_TRANSITION
+ 65 2012-05-24    SELL_GRADUAL   QQQ      485 $  55.25 $      26,797   32     $107,766     $107,784 FEAR_TRANSITION
+ 66 2012-05-29     BUY_GRADUAL  VRTX      466 $  57.80 $      26,935   39      $80,831     $107,783 GREED_TRANSITION
+ 67 2012-05-30     BUY_GRADUAL  NXPI     1395 $  19.31 $      26,933   33      $53,898     $108,892 GREED_TRANSITION
+ 68 2012-05-31     BUY_GRADUAL  REGN      199 $ 135.28 $      26,920   34      $26,978     $108,301 GREED_TRANSITION
+ 69 2012-06-01     BUY_GRADUAL  MNST     2291 $  11.76 $      26,935   27          $44     $103,625 GREED_TRANSITION
+ 70 2012-06-13       STOP_LOSS  REGN      199 $ 111.57 $      22,203   44      $22,246     $101,613 VOLATILE_STOCKS
+ 71 2012-06-13 BUY_QQQ_STOPLOSS   QQQ      401 $  55.23 $      22,149   44          $97     $101,613 VOLATILE_STOCKS
+ 72 2012-07-24       STOP_LOSS  VRTX      466 $  48.37 $      22,540   51      $22,638      $98,436 VOLATILE_STOCKS
+ 73 2012-07-24 BUY_QQQ_STOPLOSS   QQQ      401 $  56.10 $      22,497   51         $141      $98,436 VOLATILE_STOCKS
+ 74 2012-08-10       STOP_LOSS  MNST     2291 $   9.05 $      20,722   62      $20,863      $99,014 VOLATILE_STOCKS
+ 75 2012-08-10 BUY_QQQ_STOPLOSS   QQQ      347 $  59.58 $      20,673   62         $190      $99,014 VOLATILE_STOCKS
+ 76 2013-01-24    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   75       $9,399     $105,958  QQQ_TRANSITION
+ 77 2013-01-24     BUY_GRADUAL   QQQ      154 $  59.90 $       9,224   75         $175     $105,958  QQQ_TRANSITION
+ 78 2013-01-25    SELL_GRADUAL  NXPI      348 $  26.98 $       9,390   77       $9,565     $106,902  QQQ_TRANSITION
+ 79 2013-01-25     BUY_GRADUAL   QQQ      154 $  60.20 $       9,272   77         $293     $106,902  QQQ_TRANSITION
+ 80 2013-01-28    SELL_GRADUAL  NXPI      348 $  27.35 $       9,518   76       $9,811     $107,355  QQQ_TRANSITION
+ 81 2013-01-28     BUY_GRADUAL   QQQ      153 $  60.34 $       9,232   76         $579     $107,355  QQQ_TRANSITION
+ 82 2013-01-29    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   77       $9,788     $107,058  QQQ_TRANSITION
+ 83 2013-01-29     BUY_GRADUAL   QQQ      153 $  60.35 $       9,233   77         $555     $107,058  QQQ_TRANSITION
+ 84 2015-08-25    SELL_GRADUAL   QQQ      440 $  90.96 $      40,021   19      $40,576     $161,163 FEAR_TRANSITION
+ 85 2015-08-26    SELL_GRADUAL   QQQ      440 $  95.54 $      42,037   30      $82,612     $167,235 FEAR_TRANSITION
+ 86 2015-08-27    SELL_GRADUAL   QQQ      440 $  97.96 $      43,101   37     $125,714     $169,377 FEAR_TRANSITION
+ 87 2015-08-28    SELL_GRADUAL   QQQ      440 $  97.94 $      43,093   37     $168,807     $169,370 FEAR_TRANSITION
+ 88 2015-09-01     BUY_GRADUAL  NFLX      399 $ 105.79 $      42,210   29     $126,597     $169,343 GREED_TRANSITION
+ 89 2015-09-02     BUY_GRADUAL  NVDA    78306 $   0.54 $      42,267   34      $84,330     $169,220 GREED_TRANSITION
+ 90 2015-09-03     BUY_GRADUAL    MU     2608 $  16.20 $      42,259   36      $42,071     $167,587 GREED_TRANSITION
+ 91 2015-09-28       STOP_LOSS    MU     2608 $  13.73 $      35,814   29      $77,885     $162,450 VOLATILE_STOCKS
+ 92 2015-09-28 BUY_QQQ_STOPLOSS   QQQ      385 $  92.94 $      35,784   29      $42,102     $162,450 VOLATILE_STOCKS
+ 93 2017-02-16    SELL_GRADUAL  NFLX       99 $ 142.01 $      14,059   74      $56,161     $353,212  QQQ_TRANSITION
+ 94 2017-02-16    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,711   74     $107,872     $353,212  QQQ_TRANSITION
+ 95 2017-02-16     BUY_GRADUAL   QQQ      634 $ 121.85 $      77,254   74      $30,618     $353,212  QQQ_TRANSITION
+ 96 2017-02-17    SELL_GRADUAL  NFLX       99 $ 142.22 $      14,080   74      $44,697     $353,786  QQQ_TRANSITION
+ 97 2017-02-17    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,701   74      $96,399     $353,786  QQQ_TRANSITION
+ 98 2017-02-17     BUY_GRADUAL   QQQ      632 $ 122.38 $      77,344   74      $19,055     $353,786  QQQ_TRANSITION
+ 99 2017-02-21    SELL_GRADUAL  NFLX       99 $ 142.60 $      14,117   76      $33,172     $358,565  QQQ_TRANSITION
+100 2017-02-21    SELL_GRADUAL  NVDA    19576 $   2.74 $      53,553   76      $86,725     $358,565  QQQ_TRANSITION
+101 2017-02-21     BUY_GRADUAL   QQQ      628 $ 122.98 $      77,233   76       $9,492     $358,565  QQQ_TRANSITION
+102 2017-02-22    SELL_GRADUAL  NFLX       99 $ 143.86 $      14,242   75      $23,734     $358,720  QQQ_TRANSITION
+103 2017-02-22    SELL_GRADUAL  NVDA    19576 $   2.73 $      53,471   75      $77,204     $358,720  QQQ_TRANSITION
+104 2018-12-18    SELL_GRADUAL   QQQ      570 $ 151.55 $      86,385   24     $163,590     $424,134 FEAR_TRANSITION
+105 2018-12-19    SELL_GRADUAL   QQQ      570 $ 147.83 $      84,264   23     $247,854     $417,734 FEAR_TRANSITION
+106 2018-12-20    SELL_GRADUAL   QQQ      570 $ 145.69 $      83,043   22     $330,897     $415,268 FEAR_TRANSITION
+107 2018-12-21    SELL_GRADUAL   QQQ      570 $ 141.17 $      80,469   20     $411,366     $412,636 FEAR_TRANSITION
+108 2018-12-27     BUY_GRADUAL    ZS     2566 $  40.17 $     103,076   28     $308,289     $412,683 GREED_TRANSITION
+109 2018-12-28     BUY_GRADUAL   AMD     5785 $  17.82 $     103,089   26     $205,201     $411,733 GREED_TRANSITION
+110 2018-12-31     BUY_GRADUAL   MDB     1231 $  83.74 $     103,084   30     $102,117     $413,961 GREED_TRANSITION
+111 2019-04-24    SELL_GRADUAL    ZS      641 $  64.99 $      41,659   75     $143,775     $601,726  QQQ_TRANSITION
+112 2019-04-24    SELL_GRADUAL   AMD     1446 $  28.46 $      41,153   75     $184,928     $601,726  QQQ_TRANSITION
+113 2019-04-24    SELL_GRADUAL   MDB      307 $ 135.16 $      41,494   75     $226,423     $601,726  QQQ_TRANSITION
+114 2019-04-24     BUY_GRADUAL   QQQ      825 $ 182.34 $     150,428   75      $75,994     $601,726  QQQ_TRANSITION
+115 2019-04-25    SELL_GRADUAL    ZS      641 $  66.96 $      42,921   74     $118,916     $604,944  QQQ_TRANSITION
+116 2019-04-25    SELL_GRADUAL   AMD     1446 $  27.66 $      39,996   74     $158,912     $604,944  QQQ_TRANSITION
+117 2019-04-25    SELL_GRADUAL   MDB      307 $ 137.66 $      42,262   74     $201,174     $604,944  QQQ_TRANSITION
+118 2019-04-25     BUY_GRADUAL   QQQ      822 $ 183.08 $     150,490   74      $50,684     $604,944  QQQ_TRANSITION
+119 2019-04-26    SELL_GRADUAL    ZS      641 $  66.94 $      42,909   74      $93,592     $606,662  QQQ_TRANSITION
+120 2019-04-26    SELL_GRADUAL   AMD     1446 $  27.88 $      40,314   74     $133,907     $606,662  QQQ_TRANSITION
+121 2019-04-26    SELL_GRADUAL   MDB      307 $ 138.98 $      42,667   74     $176,574     $606,662  QQQ_TRANSITION
+122 2019-04-26     BUY_GRADUAL   QQQ      821 $ 183.24 $     150,441   74      $26,133     $606,662  QQQ_TRANSITION
+123 2019-04-29    SELL_GRADUAL    ZS      641 $  68.20 $      43,716   74      $69,849     $607,606  QQQ_TRANSITION
+124 2019-04-29    SELL_GRADUAL   AMD     1446 $  27.69 $      40,040   74     $109,889     $607,606  QQQ_TRANSITION
+125 2019-04-29    SELL_GRADUAL   MDB      307 $ 137.50 $      42,212   74     $152,101     $607,606  QQQ_TRANSITION
+126 2019-04-29     BUY_GRADUAL   QQQ      820 $ 183.60 $     150,549   74       $1,552     $607,606  QQQ_TRANSITION
+127 2020-02-28    SELL_GRADUAL   QQQ      822 $ 199.07 $     163,635   20     $165,188     $658,590 FEAR_TRANSITION
+128 2020-03-02    SELL_GRADUAL   QQQ      822 $ 209.34 $     172,080   37     $337,267     $684,012 FEAR_TRANSITION
+129 2020-03-03    SELL_GRADUAL   QQQ      822 $ 202.63 $     166,561   29     $503,829     $672,909 FEAR_TRANSITION
+130 2020-03-04    SELL_GRADUAL   QQQ      822 $ 211.08 $     173,511   38     $677,340     $679,956 FEAR_TRANSITION
+131 2020-03-06     BUY_GRADUAL  MRNA     5736 $  29.61 $     169,843   25     $507,497     $679,826 GREED_TRANSITION
+132 2020-03-09       STOP_LOSS  MRNA     5736 $  24.29 $     139,327   17     $646,824     $649,100 GREED_TRANSITION
+133 2020-03-09 BUY_QQQ_STOPLOSS   QQQ      744 $ 187.24 $     139,306   17     $507,518     $649,100 GREED_TRANSITION
+134 2020-03-09     BUY_GRADUAL  TSLA     4190 $  40.53 $     169,835   17     $337,683     $649,100 GREED_TRANSITION
+135 2020-03-10     BUY_GRADUAL  MRVL     7509 $  22.62 $     169,858   25     $167,825     $667,230 GREED_TRANSITION
+136 2020-03-12       STOP_LOSS  MRVL     7509 $  19.06 $     143,146   17     $310,971     $597,219 VOLATILE_STOCKS
+137 2020-03-12 BUY_QQQ_STOPLOSS   QQQ      834 $ 171.52 $     143,049   17     $167,922     $597,219 VOLATILE_STOCKS
+138 2020-03-16       STOP_LOSS  TSLA     4190 $  29.67 $     124,323   19     $292,245     $552,585 VOLATILE_STOCKS
+139 2020-03-16 BUY_QQQ_STOPLOSS   QQQ      759 $ 163.76 $     124,296   19     $167,949     $552,585 VOLATILE_STOCKS
+140 2020-06-03     BUY_GRADUAL   QQQ      185 $ 229.44 $      42,446   79     $125,503     $707,213  QQQ_TRANSITION
+141 2020-06-04     BUY_GRADUAL   QQQ      187 $ 227.83 $      42,604   79      $82,899     $703,082  QQQ_TRANSITION
+142 2020-06-05     BUY_GRADUAL   QQQ      183 $ 232.35 $      42,519   84      $40,380     $715,284  QQQ_TRANSITION
+143 2022-01-26    SELL_GRADUAL   QQQ      723 $ 336.81 $     243,517   24     $283,896   $1,018,473 FEAR_TRANSITION
+144 2022-01-27    SELL_GRADUAL   QQQ      723 $ 333.42 $     241,064   23     $524,961   $1,011,148 FEAR_TRANSITION
+145 2022-01-28    SELL_GRADUAL   QQQ      723 $ 343.88 $     248,626   32     $773,587   $1,026,391 FEAR_TRANSITION
+146 2022-01-31    SELL_GRADUAL   QQQ      723 $ 354.88 $     256,577   41   $1,030,164   $1,034,684 FEAR_TRANSITION
+147 2022-02-02     BUY_GRADUAL  NFLX      601 $ 429.48 $     258,117   47     $772,047   $1,034,708 GREED_TRANSITION
+148 2022-02-03     BUY_GRADUAL   PDD     4689 $  55.13 $     258,505   43     $513,542   $1,020,143 GREED_TRANSITION
+149 2022-02-04     BUY_GRADUAL   WBD     8945 $  28.90 $     258,510   46     $255,031   $1,026,385 GREED_TRANSITION
+150 2022-03-03       STOP_LOSS   PDD     4689 $  45.22 $     212,037   39     $467,068     $948,795 VOLATILE_STOCKS
+151 2022-03-03 BUY_QQQ_STOPLOSS   QQQ      633 $ 334.56 $     211,774   39     $255,294     $948,795 VOLATILE_STOCKS
+152 2022-03-11       STOP_LOSS   WBD     8945 $  23.99 $     214,591   31     $469,885     $878,854 VOLATILE_STOCKS
+153 2022-03-11 BUY_QQQ_STOPLOSS   QQQ      676 $ 317.10 $     214,358   31     $255,526     $878,854 VOLATILE_STOCKS
+154 2022-08-16    SELL_GRADUAL  NFLX      151 $ 245.69 $      37,099   76     $292,625     $833,290  QQQ_TRANSITION
+155 2022-08-16     BUY_GRADUAL   QQQ      313 $ 325.83 $     101,984   76     $190,641     $833,290  QQQ_TRANSITION
+156 2022-08-17    SELL_GRADUAL  NFLX      151 $ 241.15 $      36,414   72     $227,055     $825,132  QQQ_TRANSITION
+157 2022-08-17     BUY_GRADUAL   QQQ      316 $ 322.11 $     101,787   72     $125,268     $825,132  QQQ_TRANSITION
+158 2022-08-18    SELL_GRADUAL  NFLX      151 $ 245.17 $      37,021   73     $162,289     $827,836  QQQ_TRANSITION
+159 2022-08-18     BUY_GRADUAL   QQQ      316 $ 322.89 $     102,032   73      $60,257     $827,836  QQQ_TRANSITION
+160 2022-08-19    SELL_GRADUAL  NFLX      151 $ 241.16 $      36,415   68      $96,672     $812,946  QQQ_TRANSITION
+161 2022-09-26    SELL_GRADUAL   QQQ      564 $ 269.53 $     152,012   25     $248,684     $706,189 FEAR_TRANSITION
+162 2022-09-27    SELL_GRADUAL   QQQ      564 $ 269.63 $     152,073   26     $400,758     $706,398 FEAR_TRANSITION
+163 2022-09-28    SELL_GRADUAL   QQQ      564 $ 275.00 $     155,098   33     $555,856     $712,492 FEAR_TRANSITION
+164 2022-09-29    SELL_GRADUAL   QQQ      564 $ 267.07 $     150,627   29     $706,483     $707,973 FEAR_TRANSITION
+165 2022-10-03     BUY_GRADUAL  BIIB      669 $ 264.30 $     176,817   32     $529,667     $707,986 GREED_TRANSITION
+166 2022-10-04     BUY_GRADUAL  REGN      239 $ 737.50 $     176,263   42     $353,404     $710,159 GREED_TRANSITION
+167 2022-10-05     BUY_GRADUAL  NFLX      747 $ 236.73 $     176,837   42     $176,567     $707,777 GREED_TRANSITION
+168 2023-02-03    SELL_GRADUAL  BIIB      167 $ 283.63 $      47,366   72     $223,933     $827,955  QQQ_TRANSITION
+169 2023-02-03    SELL_GRADUAL  REGN       59 $ 780.97 $      46,077   72     $270,010     $827,955  QQQ_TRANSITION
+170 2023-02-03    SELL_GRADUAL  NFLX      186 $ 365.90 $      68,057   72     $338,067     $827,955  QQQ_TRANSITION
+171 2023-02-03     BUY_GRADUAL   QQQ      683 $ 301.49 $     205,920   72     $132,147     $827,955  QQQ_TRANSITION
+172 2023-02-06    SELL_GRADUAL  BIIB      167 $ 288.28 $      48,143   65     $180,290     $825,631  QQQ_TRANSITION
+173 2023-02-06    SELL_GRADUAL  REGN       59 $ 778.71 $      45,944   65     $226,234     $825,631  QQQ_TRANSITION
+174 2023-02-06    SELL_GRADUAL  NFLX      186 $ 361.48 $      67,235   65     $293,469     $825,631  QQQ_TRANSITION
+175 2023-02-06     BUY_GRADUAL   QQQ      688 $ 298.94 $     205,673   65      $87,796     $825,631  QQQ_TRANSITION
+176 2023-02-07    SELL_GRADUAL  BIIB      167 $ 291.43 $      48,669   70     $136,464     $834,461  QQQ_TRANSITION
+177 2023-02-07    SELL_GRADUAL  REGN       59 $ 767.82 $      45,301   70     $181,766     $834,461  QQQ_TRANSITION
+178 2023-02-07    SELL_GRADUAL  NFLX      186 $ 362.95 $      67,509   70     $249,274     $834,461  QQQ_TRANSITION
+179 2023-02-07     BUY_GRADUAL   QQQ      674 $ 305.14 $     205,663   70      $43,612     $834,461  QQQ_TRANSITION
+180 2023-02-08    SELL_GRADUAL  BIIB      167 $ 285.45 $      47,670   64      $91,282     $821,817  QQQ_TRANSITION
+181 2023-02-08    SELL_GRADUAL  REGN       59 $ 747.59 $      44,108   64     $135,390     $821,817  QQQ_TRANSITION
+182 2023-02-08    SELL_GRADUAL  NFLX      186 $ 366.83 $      68,230   64     $203,620     $821,817  QQQ_TRANSITION
+183 2023-11-09       STOP_LOSS  BIIB        1 $ 224.65 $         225   54     $203,845     $958,229        QQQ_HOLD
+184 2025-04-07    SELL_GRADUAL   QQQ      511 $ 423.21 $     216,263   24     $420,108   $1,075,227 FEAR_TRANSITION
+185 2025-04-08    SELL_GRADUAL   QQQ      511 $ 415.59 $     212,368   23     $632,476   $1,063,447 FEAR_TRANSITION
+186 2025-04-09    SELL_GRADUAL   QQQ      511 $ 465.48 $     237,859   39     $870,335   $1,115,043 FEAR_TRANSITION
+187 2025-04-10    SELL_GRADUAL   QQQ      511 $ 445.68 $     227,742   34   $1,098,077   $1,104,615 FEAR_TRANSITION
+188 2025-04-14     BUY_GRADUAL  MCHP     7155 $  38.58 $     276,050   37     $822,027   $1,104,757 GREED_TRANSITION
+189 2025-04-15     BUY_GRADUAL   WBD    33461 $   8.25 $     276,053   38     $545,974   $1,103,807 GREED_TRANSITION
+190 2025-04-16       STOP_LOSS   WBD    33461 $   7.92 $     265,011   32     $810,985   $1,087,112 GREED_TRANSITION
+191 2025-04-16 BUY_QQQ_STOPLOSS   QQQ      597 $ 443.68 $     264,878   32     $546,107   $1,087,112 GREED_TRANSITION
+192 2025-04-16     BUY_GRADUAL   AMD     3126 $  88.29 $     275,995   32     $270,112   $1,087,112 GREED_TRANSITION
+193 2025-05-20    SELL_GRADUAL   AMD      781 $ 113.51 $      88,651   76     $358,764   $1,374,923  QQQ_TRANSITION
+194 2025-05-20    SELL_GRADUAL  MCHP     1788 $  60.33 $     107,876   76     $466,639   $1,374,923  QQQ_TRANSITION
+195 2025-05-20     BUY_GRADUAL   QQQ      512 $ 519.69 $     266,079   76     $200,560   $1,374,923  QQQ_TRANSITION
+196 2025-05-21    SELL_GRADUAL   AMD      781 $ 112.06 $      87,519   69     $288,079   $1,355,190  QQQ_TRANSITION
+197 2025-05-21    SELL_GRADUAL  MCHP     1788 $  58.79 $     105,125   69     $393,204   $1,355,190  QQQ_TRANSITION
+198 2025-05-21     BUY_GRADUAL   QQQ      520 $ 512.46 $     266,481   69     $126,722   $1,355,190  QQQ_TRANSITION
+199 2025-05-22    SELL_GRADUAL   AMD      781 $ 110.71 $      86,465   67     $213,187   $1,351,925  QQQ_TRANSITION
+200 2025-05-22    SELL_GRADUAL  MCHP     1788 $  58.05 $     103,793   67     $316,980   $1,351,925  QQQ_TRANSITION
+201 2025-05-22     BUY_GRADUAL   QQQ      519 $ 513.42 $     266,467   67      $50,514   $1,351,925  QQQ_TRANSITION
+202 2025-05-23    SELL_GRADUAL   AMD      781 $ 110.31 $      86,152   62     $136,666   $1,338,007  QQQ_TRANSITION
+203 2025-05-23    SELL_GRADUAL  MCHP     1788 $  56.19 $     100,468   62     $237,133   $1,338,007  QQQ_TRANSITION

backtest/reports/detailed_trades_20250718_190932.txt

@@ -0,0 +1,220 @@
+Enhanced Emotional Damage Strategy - Detailed Trades Report
+========================================================================================================================
+
+📊 交易摘要:
+总交易数: 203
+交易时间: 2008-01-09 到 2025-05-23
+
+交易类型统计:
+  SELL_GRADUAL: 96
+  BUY_GRADUAL: 67
+  STOP_LOSS: 21
+  BUY_QQQ_STOPLOSS: 19
+
+📋 详细交易记录:
+======================================================================================================================================================
+ No       Date          Action Ticker   Shares   Price        Value  F&G         Cash       Assets           State
+======================================================================================================================================================
+  1 2008-01-09    SELL_GRADUAL   QQQ      609 $  41.37 $      25,193   26      $25,208     $100,829 FEAR_TRANSITION
+  2 2008-01-10    SELL_GRADUAL   QQQ      609 $  41.43 $      25,230   33      $50,438     $100,940 FEAR_TRANSITION
+  3 2008-01-11    SELL_GRADUAL   QQQ      609 $  40.62 $      24,736   28      $75,174      $99,951 FEAR_TRANSITION
+  4 2008-01-14    SELL_GRADUAL   QQQ      609 $  41.33 $      25,167   31     $100,341     $100,383 FEAR_TRANSITION
+  5 2008-01-16     BUY_GRADUAL  ILMN      745 $  33.63 $      25,057   27      $75,284     $100,381 GREED_TRANSITION
+  6 2008-01-17     BUY_GRADUAL  TMUS      852 $  29.42 $      25,063   20      $50,221      $99,964 GREED_TRANSITION
+  7 2008-01-18     BUY_GRADUAL  DXCM    11274 $   2.22 $      25,085   20      $25,137      $98,656 GREED_TRANSITION
+  8 2008-01-22     BUY_GRADUAL  SBUX     3549 $   7.07 $      25,085   19          $52      $97,152 GREED_TRANSITION
+  9 2008-02-20       STOP_LOSS  TMUS      852 $  24.77 $      21,101   54      $21,153      $94,385 VOLATILE_STOCKS
+ 10 2008-02-20 BUY_QQQ_STOPLOSS   QQQ      556 $  37.93 $      21,090   54          $63      $94,385 VOLATILE_STOCKS
+ 11 2008-02-28       STOP_LOSS  DXCM    11274 $   1.88 $      21,251   50      $21,314      $94,276 VOLATILE_STOCKS
+ 12 2008-02-28 BUY_QQQ_STOPLOSS   QQQ      557 $  38.09 $      21,215   50          $99      $94,276 VOLATILE_STOCKS
+ 13 2008-04-25       STOP_LOSS  SBUX     3549 $   6.00 $      21,310   69      $21,409      $95,418 VOLATILE_STOCKS
+ 14 2008-04-25 BUY_QQQ_STOPLOSS   QQQ      523 $  40.74 $      21,305   69         $104      $95,418 VOLATILE_STOCKS
+ 15 2008-10-09       STOP_LOSS  ILMN      745 $  28.21 $      21,017    9      $21,121      $65,760 VOLATILE_STOCKS
+ 16 2008-10-09 BUY_QQQ_STOPLOSS   QQQ      770 $  27.27 $      20,997    9         $124      $65,760 VOLATILE_STOCKS
+ 17 2009-05-05     BUY_GRADUAL   QQQ        1 $  30.39 $          30   76          $93      $73,275  QQQ_TRANSITION
+ 18 2009-05-06     BUY_GRADUAL   QQQ        1 $  30.40 $          30   82          $63      $73,296  QQQ_TRANSITION
+ 19 2009-05-07     BUY_GRADUAL   QQQ        1 $  29.69 $          30   78          $33      $71,582  QQQ_TRANSITION
+ 20 2009-05-08     BUY_GRADUAL   QQQ        1 $  29.71 $          30   75           $3      $71,624  QQQ_TRANSITION
+ 21 2010-05-27    SELL_GRADUAL   QQQ      602 $  40.00 $      24,082   34      $24,086      $96,453 FEAR_TRANSITION
+ 22 2010-05-28    SELL_GRADUAL   QQQ      602 $  39.77 $      23,941   33      $48,026      $96,027 FEAR_TRANSITION
+ 23 2010-06-01    SELL_GRADUAL   QQQ      602 $  39.40 $      23,720   27      $71,746      $95,585 FEAR_TRANSITION
+ 24 2010-06-02    SELL_GRADUAL   QQQ      602 $  40.34 $      24,282   38      $96,028      $96,149 FEAR_TRANSITION
+ 25 2010-06-04     BUY_GRADUAL  SIRI     2705 $   8.87 $      24,002   37      $72,026      $96,146 GREED_TRANSITION
+ 26 2010-06-07     BUY_GRADUAL  NFLX     1539 $  15.59 $      24,000   35      $48,026      $95,899 GREED_TRANSITION
+ 27 2010-06-08     BUY_GRADUAL  TMUS     1793 $  13.38 $      23,998   34      $24,028      $95,666 GREED_TRANSITION
+ 28 2010-06-09       STOP_LOSS  TMUS     1793 $  13.38 $      23,998   33      $48,026      $97,032 GREED_TRANSITION
+ 29 2010-06-09 BUY_QQQ_STOPLOSS   QQQ      627 $  38.22 $      23,961   33      $24,065      $97,032 GREED_TRANSITION
+ 30 2010-06-09     BUY_GRADUAL  LULU     1227 $  19.55 $      23,988   33          $77      $97,032 GREED_TRANSITION
+ 31 2010-08-30       STOP_LOSS  LULU     1227 $  15.95 $      19,571   31      $19,648      $94,278 VOLATILE_STOCKS
+ 32 2010-08-30 BUY_QQQ_STOPLOSS   QQQ      512 $  38.18 $      19,548   31         $100      $94,278 VOLATILE_STOCKS
+ 33 2010-11-04    SELL_GRADUAL  SIRI      676 $  13.31 $       8,998   80       $9,097     $126,785  QQQ_TRANSITION
+ 34 2010-11-04    SELL_GRADUAL  NFLX      384 $  23.97 $       9,206   80      $18,303     $126,785  QQQ_TRANSITION
+ 35 2010-11-05    SELL_GRADUAL  SIRI      676 $  13.85 $       9,365   80      $27,668     $127,933  QQQ_TRANSITION
+ 36 2010-11-05    SELL_GRADUAL  NFLX      384 $  24.01 $       9,221   80      $36,890     $127,933  QQQ_TRANSITION
+ 37 2010-11-05     BUY_GRADUAL   QQQ      404 $  47.10 $      19,027   80      $17,862     $127,933  QQQ_TRANSITION
+ 38 2010-11-08    SELL_GRADUAL  SIRI      676 $  14.03 $       9,487   78      $27,349     $128,387  QQQ_TRANSITION
+ 39 2010-11-08    SELL_GRADUAL  NFLX      384 $  24.16 $       9,278   78      $36,627     $128,387  QQQ_TRANSITION
+ 40 2010-11-08     BUY_GRADUAL   QQQ      404 $  47.16 $      19,052   78      $17,575     $128,387  QQQ_TRANSITION
+ 41 2010-11-09    SELL_GRADUAL  SIRI      676 $  13.49 $       9,120   74      $26,695     $127,596  QQQ_TRANSITION
+ 42 2010-11-09    SELL_GRADUAL  NFLX      384 $  24.35 $       9,351   74      $36,046     $127,596  QQQ_TRANSITION
+ 43 2010-11-09     BUY_GRADUAL   QQQ      406 $  46.90 $      19,043   74      $17,003     $127,596  QQQ_TRANSITION
+ 44 2011-08-05    SELL_GRADUAL   QQQ      589 $  47.50 $      27,980   16      $44,983     $129,044 FEAR_TRANSITION
+ 45 2011-08-08    SELL_GRADUAL   QQQ      589 $  44.65 $      26,296   12      $71,279     $123,983 FEAR_TRANSITION
+ 46 2011-08-09    SELL_GRADUAL   QQQ      589 $  46.80 $      27,564   21      $98,843     $126,526 FEAR_TRANSITION
+ 47 2011-08-10    SELL_GRADUAL   QQQ      589 $  44.88 $      26,436   16     $125,280     $125,395 FEAR_TRANSITION
+ 48 2011-08-16     BUY_GRADUAL   AMD     4944 $   6.34 $      31,345   28      $93,935     $125,400 GREED_TRANSITION
+ 49 2011-08-17     BUY_GRADUAL  DXCM    11087 $   2.83 $      31,348   27      $62,586     $124,408 GREED_TRANSITION
+ 50 2011-08-18     BUY_GRADUAL  ILMN      684 $  45.82 $      31,339   21      $31,247     $121,090 GREED_TRANSITION
+ 51 2011-09-29       STOP_LOSS   AMD     4944 $   5.31 $      26,253   36      $57,500     $119,987 VOLATILE_STOCKS
+ 52 2011-09-29 BUY_QQQ_STOPLOSS   QQQ      551 $  47.64 $      26,248   36      $31,252     $119,987 VOLATILE_STOCKS
+ 53 2011-10-07       STOP_LOSS  ILMN      684 $  26.44 $      18,085   46      $49,337     $106,508 VOLATILE_STOCKS
+ 54 2011-10-07 BUY_QQQ_STOPLOSS   QQQ      378 $  47.80 $      18,070   46      $31,267     $106,508 VOLATILE_STOCKS
+ 55 2011-10-25       STOP_LOSS  NFLX        3 $  11.05 $          33   58      $31,300     $107,461 VOLATILE_STOCKS
+ 56 2011-11-03       STOP_LOSS  DXCM    11087 $   1.97 $      21,814   63      $53,114     $100,849 VOLATILE_STOCKS
+ 57 2011-11-03 BUY_QQQ_STOPLOSS   QQQ      424 $  51.37 $      21,780   63      $31,334     $100,849 VOLATILE_STOCKS
+ 58 2012-01-20     BUY_GRADUAL   QQQ      147 $  53.05 $       7,798   76      $23,536     $103,125  QQQ_TRANSITION
+ 59 2012-01-23     BUY_GRADUAL   QQQ      147 $  53.06 $       7,800   75      $15,735     $103,151  QQQ_TRANSITION
+ 60 2012-01-24     BUY_GRADUAL   QQQ      147 $  52.97 $       7,786   74       $7,949     $102,990  QQQ_TRANSITION
+ 61 2012-01-25     BUY_GRADUAL   QQQ      146 $  53.63 $       7,830   75         $119     $104,184  QQQ_TRANSITION
+ 62 2012-05-21    SELL_GRADUAL   QQQ      485 $  55.57 $      26,953   34      $27,072     $107,948 FEAR_TRANSITION
+ 63 2012-05-22    SELL_GRADUAL   QQQ      485 $  55.51 $      26,922   34      $53,994     $107,857 FEAR_TRANSITION
+ 64 2012-05-23    SELL_GRADUAL   QQQ      485 $  55.62 $      26,974   33      $80,968     $107,961 FEAR_TRANSITION
+ 65 2012-05-24    SELL_GRADUAL   QQQ      485 $  55.25 $      26,797   32     $107,766     $107,784 FEAR_TRANSITION
+ 66 2012-05-29     BUY_GRADUAL  VRTX      466 $  57.80 $      26,935   39      $80,831     $107,783 GREED_TRANSITION
+ 67 2012-05-30     BUY_GRADUAL  NXPI     1395 $  19.31 $      26,933   33      $53,898     $108,892 GREED_TRANSITION
+ 68 2012-05-31     BUY_GRADUAL  REGN      199 $ 135.28 $      26,920   34      $26,978     $108,301 GREED_TRANSITION
+ 69 2012-06-01     BUY_GRADUAL  MNST     2291 $  11.76 $      26,935   27          $44     $103,625 GREED_TRANSITION
+ 70 2012-06-13       STOP_LOSS  REGN      199 $ 111.57 $      22,203   44      $22,246     $101,613 VOLATILE_STOCKS
+ 71 2012-06-13 BUY_QQQ_STOPLOSS   QQQ      401 $  55.23 $      22,149   44          $97     $101,613 VOLATILE_STOCKS
+ 72 2012-07-24       STOP_LOSS  VRTX      466 $  48.37 $      22,540   51      $22,638      $98,436 VOLATILE_STOCKS
+ 73 2012-07-24 BUY_QQQ_STOPLOSS   QQQ      401 $  56.10 $      22,497   51         $141      $98,436 VOLATILE_STOCKS
+ 74 2012-08-10       STOP_LOSS  MNST     2291 $   9.05 $      20,722   62      $20,863      $99,014 VOLATILE_STOCKS
+ 75 2012-08-10 BUY_QQQ_STOPLOSS   QQQ      347 $  59.58 $      20,673   62         $190      $99,014 VOLATILE_STOCKS
+ 76 2013-01-24    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   75       $9,399     $105,958  QQQ_TRANSITION
+ 77 2013-01-24     BUY_GRADUAL   QQQ      154 $  59.90 $       9,224   75         $175     $105,958  QQQ_TRANSITION
+ 78 2013-01-25    SELL_GRADUAL  NXPI      348 $  26.98 $       9,390   77       $9,565     $106,902  QQQ_TRANSITION
+ 79 2013-01-25     BUY_GRADUAL   QQQ      154 $  60.20 $       9,272   77         $293     $106,902  QQQ_TRANSITION
+ 80 2013-01-28    SELL_GRADUAL  NXPI      348 $  27.35 $       9,518   76       $9,811     $107,355  QQQ_TRANSITION
+ 81 2013-01-28     BUY_GRADUAL   QQQ      153 $  60.34 $       9,232   76         $579     $107,355  QQQ_TRANSITION
+ 82 2013-01-29    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   77       $9,788     $107,058  QQQ_TRANSITION
+ 83 2013-01-29     BUY_GRADUAL   QQQ      153 $  60.35 $       9,233   77         $555     $107,058  QQQ_TRANSITION
+ 84 2015-08-25    SELL_GRADUAL   QQQ      440 $  90.96 $      40,021   19      $40,576     $161,163 FEAR_TRANSITION
+ 85 2015-08-26    SELL_GRADUAL   QQQ      440 $  95.54 $      42,037   30      $82,612     $167,235 FEAR_TRANSITION
+ 86 2015-08-27    SELL_GRADUAL   QQQ      440 $  97.96 $      43,101   37     $125,714     $169,377 FEAR_TRANSITION
+ 87 2015-08-28    SELL_GRADUAL   QQQ      440 $  97.94 $      43,093   37     $168,807     $169,370 FEAR_TRANSITION
+ 88 2015-09-01     BUY_GRADUAL  NFLX      399 $ 105.79 $      42,210   29     $126,597     $169,343 GREED_TRANSITION
+ 89 2015-09-02     BUY_GRADUAL  NVDA    78306 $   0.54 $      42,267   34      $84,330     $169,220 GREED_TRANSITION
+ 90 2015-09-03     BUY_GRADUAL    MU     2608 $  16.20 $      42,259   36      $42,071     $167,587 GREED_TRANSITION
+ 91 2015-09-28       STOP_LOSS    MU     2608 $  13.73 $      35,814   29      $77,885     $162,450 VOLATILE_STOCKS
+ 92 2015-09-28 BUY_QQQ_STOPLOSS   QQQ      385 $  92.94 $      35,784   29      $42,102     $162,450 VOLATILE_STOCKS
+ 93 2017-02-16    SELL_GRADUAL  NFLX       99 $ 142.01 $      14,059   74      $56,161     $353,212  QQQ_TRANSITION
+ 94 2017-02-16    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,711   74     $107,872     $353,212  QQQ_TRANSITION
+ 95 2017-02-16     BUY_GRADUAL   QQQ      634 $ 121.85 $      77,254   74      $30,618     $353,212  QQQ_TRANSITION
+ 96 2017-02-17    SELL_GRADUAL  NFLX       99 $ 142.22 $      14,080   74      $44,697     $353,786  QQQ_TRANSITION
+ 97 2017-02-17    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,701   74      $96,399     $353,786  QQQ_TRANSITION
+ 98 2017-02-17     BUY_GRADUAL   QQQ      632 $ 122.38 $      77,344   74      $19,055     $353,786  QQQ_TRANSITION
+ 99 2017-02-21    SELL_GRADUAL  NFLX       99 $ 142.60 $      14,117   76      $33,172     $358,565  QQQ_TRANSITION
+100 2017-02-21    SELL_GRADUAL  NVDA    19576 $   2.74 $      53,553   76      $86,725     $358,565  QQQ_TRANSITION
+101 2017-02-21     BUY_GRADUAL   QQQ      628 $ 122.98 $      77,233   76       $9,492     $358,565  QQQ_TRANSITION
+102 2017-02-22    SELL_GRADUAL  NFLX       99 $ 143.86 $      14,242   75      $23,734     $358,720  QQQ_TRANSITION
+103 2017-02-22    SELL_GRADUAL  NVDA    19576 $   2.73 $      53,471   75      $77,204     $358,720  QQQ_TRANSITION
+104 2018-12-18    SELL_GRADUAL   QQQ      570 $ 151.55 $      86,385   24     $163,590     $424,134 FEAR_TRANSITION
+105 2018-12-19    SELL_GRADUAL   QQQ      570 $ 147.83 $      84,264   23     $247,854     $417,734 FEAR_TRANSITION
+106 2018-12-20    SELL_GRADUAL   QQQ      570 $ 145.69 $      83,043   22     $330,897     $415,268 FEAR_TRANSITION
+107 2018-12-21    SELL_GRADUAL   QQQ      570 $ 141.17 $      80,469   20     $411,366     $412,636 FEAR_TRANSITION
+108 2018-12-27     BUY_GRADUAL    ZS     2566 $  40.17 $     103,076   28     $308,289     $412,683 GREED_TRANSITION
+109 2018-12-28     BUY_GRADUAL   AMD     5785 $  17.82 $     103,089   26     $205,201     $411,733 GREED_TRANSITION
+110 2018-12-31     BUY_GRADUAL   MDB     1231 $  83.74 $     103,084   30     $102,117     $413,961 GREED_TRANSITION
+111 2019-04-24    SELL_GRADUAL    ZS      641 $  64.99 $      41,659   75     $143,775     $601,726  QQQ_TRANSITION
+112 2019-04-24    SELL_GRADUAL   AMD     1446 $  28.46 $      41,153   75     $184,928     $601,726  QQQ_TRANSITION
+113 2019-04-24    SELL_GRADUAL   MDB      307 $ 135.16 $      41,494   75     $226,423     $601,726  QQQ_TRANSITION
+114 2019-04-24     BUY_GRADUAL   QQQ      825 $ 182.34 $     150,428   75      $75,994     $601,726  QQQ_TRANSITION
+115 2019-04-25    SELL_GRADUAL    ZS      641 $  66.96 $      42,921   74     $118,916     $604,944  QQQ_TRANSITION
+116 2019-04-25    SELL_GRADUAL   AMD     1446 $  27.66 $      39,996   74     $158,912     $604,944  QQQ_TRANSITION
+117 2019-04-25    SELL_GRADUAL   MDB      307 $ 137.66 $      42,262   74     $201,174     $604,944  QQQ_TRANSITION
+118 2019-04-25     BUY_GRADUAL   QQQ      822 $ 183.08 $     150,490   74      $50,684     $604,944  QQQ_TRANSITION
+119 2019-04-26    SELL_GRADUAL    ZS      641 $  66.94 $      42,909   74      $93,592     $606,662  QQQ_TRANSITION
+120 2019-04-26    SELL_GRADUAL   AMD     1446 $  27.88 $      40,314   74     $133,907     $606,662  QQQ_TRANSITION
+121 2019-04-26    SELL_GRADUAL   MDB      307 $ 138.98 $      42,667   74     $176,574     $606,662  QQQ_TRANSITION
+122 2019-04-26     BUY_GRADUAL   QQQ      821 $ 183.24 $     150,441   74      $26,133     $606,662  QQQ_TRANSITION
+123 2019-04-29    SELL_GRADUAL    ZS      641 $  68.20 $      43,716   74      $69,849     $607,606  QQQ_TRANSITION
+124 2019-04-29    SELL_GRADUAL   AMD     1446 $  27.69 $      40,040   74     $109,889     $607,606  QQQ_TRANSITION
+125 2019-04-29    SELL_GRADUAL   MDB      307 $ 137.50 $      42,212   74     $152,101     $607,606  QQQ_TRANSITION
+126 2019-04-29     BUY_GRADUAL   QQQ      820 $ 183.60 $     150,549   74       $1,552     $607,606  QQQ_TRANSITION
+127 2020-02-28    SELL_GRADUAL   QQQ      822 $ 199.07 $     163,635   20     $165,188     $658,590 FEAR_TRANSITION
+128 2020-03-02    SELL_GRADUAL   QQQ      822 $ 209.34 $     172,080   37     $337,267     $684,012 FEAR_TRANSITION
+129 2020-03-03    SELL_GRADUAL   QQQ      822 $ 202.63 $     166,561   29     $503,829     $672,909 FEAR_TRANSITION
+130 2020-03-04    SELL_GRADUAL   QQQ      822 $ 211.08 $     173,511   38     $677,340     $679,956 FEAR_TRANSITION
+131 2020-03-06     BUY_GRADUAL  MRNA     5736 $  29.61 $     169,843   25     $507,497     $679,826 GREED_TRANSITION
+132 2020-03-09       STOP_LOSS  MRNA     5736 $  24.29 $     139,327   17     $646,824     $649,100 GREED_TRANSITION
+133 2020-03-09 BUY_QQQ_STOPLOSS   QQQ      744 $ 187.24 $     139,306   17     $507,518     $649,100 GREED_TRANSITION
+134 2020-03-09     BUY_GRADUAL  TSLA     4190 $  40.53 $     169,835   17     $337,683     $649,100 GREED_TRANSITION
+135 2020-03-10     BUY_GRADUAL  MRVL     7509 $  22.62 $     169,858   25     $167,825     $667,230 GREED_TRANSITION
+136 2020-03-12       STOP_LOSS  MRVL     7509 $  19.06 $     143,146   17     $310,971     $597,219 VOLATILE_STOCKS
+137 2020-03-12 BUY_QQQ_STOPLOSS   QQQ      834 $ 171.52 $     143,049   17     $167,922     $597,219 VOLATILE_STOCKS
+138 2020-03-16       STOP_LOSS  TSLA     4190 $  29.67 $     124,323   19     $292,245     $552,585 VOLATILE_STOCKS
+139 2020-03-16 BUY_QQQ_STOPLOSS   QQQ      759 $ 163.76 $     124,296   19     $167,949     $552,585 VOLATILE_STOCKS
+140 2020-06-03     BUY_GRADUAL   QQQ      185 $ 229.44 $      42,446   79     $125,503     $707,213  QQQ_TRANSITION
+141 2020-06-04     BUY_GRADUAL   QQQ      187 $ 227.83 $      42,604   79      $82,899     $703,082  QQQ_TRANSITION
+142 2020-06-05     BUY_GRADUAL   QQQ      183 $ 232.35 $      42,519   84      $40,380     $715,284  QQQ_TRANSITION
+143 2022-01-26    SELL_GRADUAL   QQQ      723 $ 336.81 $     243,517   24     $283,896   $1,018,473 FEAR_TRANSITION
+144 2022-01-27    SELL_GRADUAL   QQQ      723 $ 333.42 $     241,064   23     $524,961   $1,011,148 FEAR_TRANSITION
+145 2022-01-28    SELL_GRADUAL   QQQ      723 $ 343.88 $     248,626   32     $773,587   $1,026,391 FEAR_TRANSITION
+146 2022-01-31    SELL_GRADUAL   QQQ      723 $ 354.88 $     256,577   41   $1,030,164   $1,034,684 FEAR_TRANSITION
+147 2022-02-02     BUY_GRADUAL  NFLX      601 $ 429.48 $     258,117   47     $772,047   $1,034,708 GREED_TRANSITION
+148 2022-02-03     BUY_GRADUAL   PDD     4689 $  55.13 $     258,505   43     $513,542   $1,020,143 GREED_TRANSITION
+149 2022-02-04     BUY_GRADUAL   WBD     8945 $  28.90 $     258,510   46     $255,031   $1,026,385 GREED_TRANSITION
+150 2022-03-03       STOP_LOSS   PDD     4689 $  45.22 $     212,037   39     $467,068     $948,795 VOLATILE_STOCKS
+151 2022-03-03 BUY_QQQ_STOPLOSS   QQQ      633 $ 334.56 $     211,774   39     $255,294     $948,795 VOLATILE_STOCKS
+152 2022-03-11       STOP_LOSS   WBD     8945 $  23.99 $     214,591   31     $469,885     $878,854 VOLATILE_STOCKS
+153 2022-03-11 BUY_QQQ_STOPLOSS   QQQ      676 $ 317.10 $     214,358   31     $255,526     $878,854 VOLATILE_STOCKS
+154 2022-08-16    SELL_GRADUAL  NFLX      151 $ 245.69 $      37,099   76     $292,625     $833,290  QQQ_TRANSITION
+155 2022-08-16     BUY_GRADUAL   QQQ      313 $ 325.83 $     101,984   76     $190,641     $833,290  QQQ_TRANSITION
+156 2022-08-17    SELL_GRADUAL  NFLX      151 $ 241.15 $      36,414   72     $227,055     $825,132  QQQ_TRANSITION
+157 2022-08-17     BUY_GRADUAL   QQQ      316 $ 322.11 $     101,787   72     $125,268     $825,132  QQQ_TRANSITION
+158 2022-08-18    SELL_GRADUAL  NFLX      151 $ 245.17 $      37,021   73     $162,289     $827,836  QQQ_TRANSITION
+159 2022-08-18     BUY_GRADUAL   QQQ      316 $ 322.89 $     102,032   73      $60,257     $827,836  QQQ_TRANSITION
+160 2022-08-19    SELL_GRADUAL  NFLX      151 $ 241.16 $      36,415   68      $96,672     $812,946  QQQ_TRANSITION
+161 2022-09-26    SELL_GRADUAL   QQQ      564 $ 269.53 $     152,012   25     $248,684     $706,189 FEAR_TRANSITION
+162 2022-09-27    SELL_GRADUAL   QQQ      564 $ 269.63 $     152,073   26     $400,758     $706,398 FEAR_TRANSITION
+163 2022-09-28    SELL_GRADUAL   QQQ      564 $ 275.00 $     155,098   33     $555,856     $712,492 FEAR_TRANSITION
+164 2022-09-29    SELL_GRADUAL   QQQ      564 $ 267.07 $     150,627   29     $706,483     $707,973 FEAR_TRANSITION
+165 2022-10-03     BUY_GRADUAL  BIIB      669 $ 264.30 $     176,817   32     $529,667     $707,986 GREED_TRANSITION
+166 2022-10-04     BUY_GRADUAL  REGN      239 $ 737.50 $     176,263   42     $353,404     $710,159 GREED_TRANSITION
+167 2022-10-05     BUY_GRADUAL  NFLX      747 $ 236.73 $     176,837   42     $176,567     $707,777 GREED_TRANSITION
+168 2023-02-03    SELL_GRADUAL  BIIB      167 $ 283.63 $      47,366   72     $223,933     $827,955  QQQ_TRANSITION
+169 2023-02-03    SELL_GRADUAL  REGN       59 $ 780.97 $      46,077   72     $270,010     $827,955  QQQ_TRANSITION
+170 2023-02-03    SELL_GRADUAL  NFLX      186 $ 365.90 $      68,057   72     $338,067     $827,955  QQQ_TRANSITION
+171 2023-02-03     BUY_GRADUAL   QQQ      683 $ 301.49 $     205,920   72     $132,147     $827,955  QQQ_TRANSITION
+172 2023-02-06    SELL_GRADUAL  BIIB      167 $ 288.28 $      48,143   65     $180,290     $825,631  QQQ_TRANSITION
+173 2023-02-06    SELL_GRADUAL  REGN       59 $ 778.71 $      45,944   65     $226,234     $825,631  QQQ_TRANSITION
+174 2023-02-06    SELL_GRADUAL  NFLX      186 $ 361.48 $      67,235   65     $293,469     $825,631  QQQ_TRANSITION
+175 2023-02-06     BUY_GRADUAL   QQQ      688 $ 298.94 $     205,673   65      $87,796     $825,631  QQQ_TRANSITION
+176 2023-02-07    SELL_GRADUAL  BIIB      167 $ 291.43 $      48,669   70     $136,464     $834,461  QQQ_TRANSITION
+177 2023-02-07    SELL_GRADUAL  REGN       59 $ 767.82 $      45,301   70     $181,766     $834,461  QQQ_TRANSITION
+178 2023-02-07    SELL_GRADUAL  NFLX      186 $ 362.95 $      67,509   70     $249,274     $834,461  QQQ_TRANSITION
+179 2023-02-07     BUY_GRADUAL   QQQ      674 $ 305.14 $     205,663   70      $43,612     $834,461  QQQ_TRANSITION
+180 2023-02-08    SELL_GRADUAL  BIIB      167 $ 285.45 $      47,670   64      $91,282     $821,817  QQQ_TRANSITION
+181 2023-02-08    SELL_GRADUAL  REGN       59 $ 747.59 $      44,108   64     $135,390     $821,817  QQQ_TRANSITION
+182 2023-02-08    SELL_GRADUAL  NFLX      186 $ 366.83 $      68,230   64     $203,620     $821,817  QQQ_TRANSITION
+183 2023-11-09       STOP_LOSS  BIIB        1 $ 224.65 $         225   54     $203,845     $958,229        QQQ_HOLD
+184 2025-04-07    SELL_GRADUAL   QQQ      511 $ 423.21 $     216,263   24     $420,108   $1,075,227 FEAR_TRANSITION
+185 2025-04-08    SELL_GRADUAL   QQQ      511 $ 415.59 $     212,368   23     $632,476   $1,063,447 FEAR_TRANSITION
+186 2025-04-09    SELL_GRADUAL   QQQ      511 $ 465.48 $     237,859   39     $870,335   $1,115,043 FEAR_TRANSITION
+187 2025-04-10    SELL_GRADUAL   QQQ      511 $ 445.68 $     227,742   34   $1,098,077   $1,104,615 FEAR_TRANSITION
+188 2025-04-14     BUY_GRADUAL  MCHP     7155 $  38.58 $     276,050   37     $822,027   $1,104,757 GREED_TRANSITION
+189 2025-04-15     BUY_GRADUAL   WBD    33461 $   8.25 $     276,053   38     $545,974   $1,103,807 GREED_TRANSITION
+190 2025-04-16       STOP_LOSS   WBD    33461 $   7.92 $     265,011   32     $810,985   $1,087,112 GREED_TRANSITION
+191 2025-04-16 BUY_QQQ_STOPLOSS   QQQ      597 $ 443.68 $     264,878   32     $546,107   $1,087,112 GREED_TRANSITION
+192 2025-04-16     BUY_GRADUAL   AMD     3126 $  88.29 $     275,995   32     $270,112   $1,087,112 GREED_TRANSITION
+193 2025-05-20    SELL_GRADUAL   AMD      781 $ 113.51 $      88,651   76     $358,764   $1,374,923  QQQ_TRANSITION
+194 2025-05-20    SELL_GRADUAL  MCHP     1788 $  60.33 $     107,876   76     $466,639   $1,374,923  QQQ_TRANSITION
+195 2025-05-20     BUY_GRADUAL   QQQ      512 $ 519.69 $     266,079   76     $200,560   $1,374,923  QQQ_TRANSITION
+196 2025-05-21    SELL_GRADUAL   AMD      781 $ 112.06 $      87,519   69     $288,079   $1,355,190  QQQ_TRANSITION
+197 2025-05-21    SELL_GRADUAL  MCHP     1788 $  58.79 $     105,125   69     $393,204   $1,355,190  QQQ_TRANSITION
+198 2025-05-21     BUY_GRADUAL   QQQ      520 $ 512.46 $     266,481   69     $126,722   $1,355,190  QQQ_TRANSITION
+199 2025-05-22    SELL_GRADUAL   AMD      781 $ 110.71 $      86,465   67     $213,187   $1,351,925  QQQ_TRANSITION
+200 2025-05-22    SELL_GRADUAL  MCHP     1788 $  58.05 $     103,793   67     $316,980   $1,351,925  QQQ_TRANSITION
+201 2025-05-22     BUY_GRADUAL   QQQ      519 $ 513.42 $     266,467   67      $50,514   $1,351,925  QQQ_TRANSITION
+202 2025-05-23    SELL_GRADUAL   AMD      781 $ 110.31 $      86,152   62     $136,666   $1,338,007  QQQ_TRANSITION
+203 2025-05-23    SELL_GRADUAL  MCHP     1788 $  56.19 $     100,468   62     $237,133   $1,338,007  QQQ_TRANSITION

backtest/reports/detailed_trades_20250718_191059.txt

@@ -0,0 +1,220 @@
+Enhanced Emotional Damage Strategy - Detailed Trades Report
+========================================================================================================================
+
+📊 交易摘要:
+总交易数: 203
+交易时间: 2008-01-09 到 2025-05-23
+
+交易类型统计:
+  SELL_GRADUAL: 96
+  BUY_GRADUAL: 67
+  STOP_LOSS: 21
+  BUY_QQQ_STOPLOSS: 19
+
+📋 详细交易记录:
+======================================================================================================================================================
+ No       Date          Action Ticker   Shares   Price        Value  F&G         Cash       Assets           State
+======================================================================================================================================================
+  1 2008-01-09    SELL_GRADUAL   QQQ      609 $  41.37 $      25,193   26      $25,208     $100,829 FEAR_TRANSITION
+  2 2008-01-10    SELL_GRADUAL   QQQ      609 $  41.43 $      25,230   33      $50,438     $100,940 FEAR_TRANSITION
+  3 2008-01-11    SELL_GRADUAL   QQQ      609 $  40.62 $      24,736   28      $75,174      $99,951 FEAR_TRANSITION
+  4 2008-01-14    SELL_GRADUAL   QQQ      609 $  41.33 $      25,167   31     $100,341     $100,383 FEAR_TRANSITION
+  5 2008-01-16     BUY_GRADUAL  ILMN      745 $  33.63 $      25,057   27      $75,284     $100,381 GREED_TRANSITION
+  6 2008-01-17     BUY_GRADUAL  TMUS      852 $  29.42 $      25,063   20      $50,221      $99,964 GREED_TRANSITION
+  7 2008-01-18     BUY_GRADUAL  DXCM    11274 $   2.22 $      25,085   20      $25,137      $98,656 GREED_TRANSITION
+  8 2008-01-22     BUY_GRADUAL  SBUX     3549 $   7.07 $      25,085   19          $52      $97,152 GREED_TRANSITION
+  9 2008-02-20       STOP_LOSS  TMUS      852 $  24.77 $      21,101   54      $21,153      $94,385 VOLATILE_STOCKS
+ 10 2008-02-20 BUY_QQQ_STOPLOSS   QQQ      556 $  37.93 $      21,090   54          $63      $94,385 VOLATILE_STOCKS
+ 11 2008-02-28       STOP_LOSS  DXCM    11274 $   1.88 $      21,251   50      $21,314      $94,276 VOLATILE_STOCKS
+ 12 2008-02-28 BUY_QQQ_STOPLOSS   QQQ      557 $  38.09 $      21,215   50          $99      $94,276 VOLATILE_STOCKS
+ 13 2008-04-25       STOP_LOSS  SBUX     3549 $   6.00 $      21,310   69      $21,409      $95,418 VOLATILE_STOCKS
+ 14 2008-04-25 BUY_QQQ_STOPLOSS   QQQ      523 $  40.74 $      21,305   69         $104      $95,418 VOLATILE_STOCKS
+ 15 2008-10-09       STOP_LOSS  ILMN      745 $  28.21 $      21,017    9      $21,121      $65,760 VOLATILE_STOCKS
+ 16 2008-10-09 BUY_QQQ_STOPLOSS   QQQ      770 $  27.27 $      20,997    9         $124      $65,760 VOLATILE_STOCKS
+ 17 2009-05-05     BUY_GRADUAL   QQQ        1 $  30.39 $          30   76          $93      $73,275  QQQ_TRANSITION
+ 18 2009-05-06     BUY_GRADUAL   QQQ        1 $  30.40 $          30   82          $63      $73,296  QQQ_TRANSITION
+ 19 2009-05-07     BUY_GRADUAL   QQQ        1 $  29.69 $          30   78          $33      $71,582  QQQ_TRANSITION
+ 20 2009-05-08     BUY_GRADUAL   QQQ        1 $  29.71 $          30   75           $3      $71,624  QQQ_TRANSITION
+ 21 2010-05-27    SELL_GRADUAL   QQQ      602 $  40.00 $      24,082   34      $24,086      $96,453 FEAR_TRANSITION
+ 22 2010-05-28    SELL_GRADUAL   QQQ      602 $  39.77 $      23,941   33      $48,026      $96,027 FEAR_TRANSITION
+ 23 2010-06-01    SELL_GRADUAL   QQQ      602 $  39.40 $      23,720   27      $71,746      $95,585 FEAR_TRANSITION
+ 24 2010-06-02    SELL_GRADUAL   QQQ      602 $  40.34 $      24,282   38      $96,028      $96,149 FEAR_TRANSITION
+ 25 2010-06-04     BUY_GRADUAL  SIRI     2705 $   8.87 $      24,002   37      $72,026      $96,146 GREED_TRANSITION
+ 26 2010-06-07     BUY_GRADUAL  NFLX     1539 $  15.59 $      24,000   35      $48,026      $95,899 GREED_TRANSITION
+ 27 2010-06-08     BUY_GRADUAL  TMUS     1793 $  13.38 $      23,998   34      $24,028      $95,666 GREED_TRANSITION
+ 28 2010-06-09       STOP_LOSS  TMUS     1793 $  13.38 $      23,998   33      $48,026      $97,032 GREED_TRANSITION
+ 29 2010-06-09 BUY_QQQ_STOPLOSS   QQQ      627 $  38.22 $      23,961   33      $24,065      $97,032 GREED_TRANSITION
+ 30 2010-06-09     BUY_GRADUAL  LULU     1227 $  19.55 $      23,988   33          $77      $97,032 GREED_TRANSITION
+ 31 2010-08-30       STOP_LOSS  LULU     1227 $  15.95 $      19,571   31      $19,648      $94,278 VOLATILE_STOCKS
+ 32 2010-08-30 BUY_QQQ_STOPLOSS   QQQ      512 $  38.18 $      19,548   31         $100      $94,278 VOLATILE_STOCKS
+ 33 2010-11-04    SELL_GRADUAL  SIRI      676 $  13.31 $       8,998   80       $9,097     $126,785  QQQ_TRANSITION
+ 34 2010-11-04    SELL_GRADUAL  NFLX      384 $  23.97 $       9,206   80      $18,303     $126,785  QQQ_TRANSITION
+ 35 2010-11-05    SELL_GRADUAL  SIRI      676 $  13.85 $       9,365   80      $27,668     $127,933  QQQ_TRANSITION
+ 36 2010-11-05    SELL_GRADUAL  NFLX      384 $  24.01 $       9,221   80      $36,890     $127,933  QQQ_TRANSITION
+ 37 2010-11-05     BUY_GRADUAL   QQQ      404 $  47.10 $      19,027   80      $17,862     $127,933  QQQ_TRANSITION
+ 38 2010-11-08    SELL_GRADUAL  SIRI      676 $  14.03 $       9,487   78      $27,349     $128,387  QQQ_TRANSITION
+ 39 2010-11-08    SELL_GRADUAL  NFLX      384 $  24.16 $       9,278   78      $36,627     $128,387  QQQ_TRANSITION
+ 40 2010-11-08     BUY_GRADUAL   QQQ      404 $  47.16 $      19,052   78      $17,575     $128,387  QQQ_TRANSITION
+ 41 2010-11-09    SELL_GRADUAL  SIRI      676 $  13.49 $       9,120   74      $26,695     $127,596  QQQ_TRANSITION
+ 42 2010-11-09    SELL_GRADUAL  NFLX      384 $  24.35 $       9,351   74      $36,046     $127,596  QQQ_TRANSITION
+ 43 2010-11-09     BUY_GRADUAL   QQQ      406 $  46.90 $      19,043   74      $17,003     $127,596  QQQ_TRANSITION
+ 44 2011-08-05    SELL_GRADUAL   QQQ      589 $  47.50 $      27,980   16      $44,983     $129,044 FEAR_TRANSITION
+ 45 2011-08-08    SELL_GRADUAL   QQQ      589 $  44.65 $      26,296   12      $71,279     $123,983 FEAR_TRANSITION
+ 46 2011-08-09    SELL_GRADUAL   QQQ      589 $  46.80 $      27,564   21      $98,843     $126,526 FEAR_TRANSITION
+ 47 2011-08-10    SELL_GRADUAL   QQQ      589 $  44.88 $      26,436   16     $125,280     $125,395 FEAR_TRANSITION
+ 48 2011-08-16     BUY_GRADUAL   AMD     4944 $   6.34 $      31,345   28      $93,935     $125,400 GREED_TRANSITION
+ 49 2011-08-17     BUY_GRADUAL  DXCM    11087 $   2.83 $      31,348   27      $62,586     $124,408 GREED_TRANSITION
+ 50 2011-08-18     BUY_GRADUAL  ILMN      684 $  45.82 $      31,339   21      $31,247     $121,090 GREED_TRANSITION
+ 51 2011-09-29       STOP_LOSS   AMD     4944 $   5.31 $      26,253   36      $57,500     $119,987 VOLATILE_STOCKS
+ 52 2011-09-29 BUY_QQQ_STOPLOSS   QQQ      551 $  47.64 $      26,248   36      $31,252     $119,987 VOLATILE_STOCKS
+ 53 2011-10-07       STOP_LOSS  ILMN      684 $  26.44 $      18,085   46      $49,337     $106,508 VOLATILE_STOCKS
+ 54 2011-10-07 BUY_QQQ_STOPLOSS   QQQ      378 $  47.80 $      18,070   46      $31,267     $106,508 VOLATILE_STOCKS
+ 55 2011-10-25       STOP_LOSS  NFLX        3 $  11.05 $          33   58      $31,300     $107,461 VOLATILE_STOCKS
+ 56 2011-11-03       STOP_LOSS  DXCM    11087 $   1.97 $      21,814   63      $53,114     $100,849 VOLATILE_STOCKS
+ 57 2011-11-03 BUY_QQQ_STOPLOSS   QQQ      424 $  51.37 $      21,780   63      $31,334     $100,849 VOLATILE_STOCKS
+ 58 2012-01-20     BUY_GRADUAL   QQQ      147 $  53.05 $       7,798   76      $23,536     $103,125  QQQ_TRANSITION
+ 59 2012-01-23     BUY_GRADUAL   QQQ      147 $  53.06 $       7,800   75      $15,735     $103,151  QQQ_TRANSITION
+ 60 2012-01-24     BUY_GRADUAL   QQQ      147 $  52.97 $       7,786   74       $7,949     $102,990  QQQ_TRANSITION
+ 61 2012-01-25     BUY_GRADUAL   QQQ      146 $  53.63 $       7,830   75         $119     $104,184  QQQ_TRANSITION
+ 62 2012-05-21    SELL_GRADUAL   QQQ      485 $  55.57 $      26,953   34      $27,072     $107,948 FEAR_TRANSITION
+ 63 2012-05-22    SELL_GRADUAL   QQQ      485 $  55.51 $      26,922   34      $53,994     $107,857 FEAR_TRANSITION
+ 64 2012-05-23    SELL_GRADUAL   QQQ      485 $  55.62 $      26,974   33      $80,968     $107,961 FEAR_TRANSITION
+ 65 2012-05-24    SELL_GRADUAL   QQQ      485 $  55.25 $      26,797   32     $107,766     $107,784 FEAR_TRANSITION
+ 66 2012-05-29     BUY_GRADUAL  VRTX      466 $  57.80 $      26,935   39      $80,831     $107,783 GREED_TRANSITION
+ 67 2012-05-30     BUY_GRADUAL  NXPI     1395 $  19.31 $      26,933   33      $53,898     $108,892 GREED_TRANSITION
+ 68 2012-05-31     BUY_GRADUAL  REGN      199 $ 135.28 $      26,920   34      $26,978     $108,301 GREED_TRANSITION
+ 69 2012-06-01     BUY_GRADUAL  MNST     2291 $  11.76 $      26,935   27          $44     $103,625 GREED_TRANSITION
+ 70 2012-06-13       STOP_LOSS  REGN      199 $ 111.57 $      22,203   44      $22,246     $101,613 VOLATILE_STOCKS
+ 71 2012-06-13 BUY_QQQ_STOPLOSS   QQQ      401 $  55.23 $      22,149   44          $97     $101,613 VOLATILE_STOCKS
+ 72 2012-07-24       STOP_LOSS  VRTX      466 $  48.37 $      22,540   51      $22,638      $98,436 VOLATILE_STOCKS
+ 73 2012-07-24 BUY_QQQ_STOPLOSS   QQQ      401 $  56.10 $      22,497   51         $141      $98,436 VOLATILE_STOCKS
+ 74 2012-08-10       STOP_LOSS  MNST     2291 $   9.05 $      20,722   62      $20,863      $99,014 VOLATILE_STOCKS
+ 75 2012-08-10 BUY_QQQ_STOPLOSS   QQQ      347 $  59.58 $      20,673   62         $190      $99,014 VOLATILE_STOCKS
+ 76 2013-01-24    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   75       $9,399     $105,958  QQQ_TRANSITION
+ 77 2013-01-24     BUY_GRADUAL   QQQ      154 $  59.90 $       9,224   75         $175     $105,958  QQQ_TRANSITION
+ 78 2013-01-25    SELL_GRADUAL  NXPI      348 $  26.98 $       9,390   77       $9,565     $106,902  QQQ_TRANSITION
+ 79 2013-01-25     BUY_GRADUAL   QQQ      154 $  60.20 $       9,272   77         $293     $106,902  QQQ_TRANSITION
+ 80 2013-01-28    SELL_GRADUAL  NXPI      348 $  27.35 $       9,518   76       $9,811     $107,355  QQQ_TRANSITION
+ 81 2013-01-28     BUY_GRADUAL   QQQ      153 $  60.34 $       9,232   76         $579     $107,355  QQQ_TRANSITION
+ 82 2013-01-29    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   77       $9,788     $107,058  QQQ_TRANSITION
+ 83 2013-01-29     BUY_GRADUAL   QQQ      153 $  60.35 $       9,233   77         $555     $107,058  QQQ_TRANSITION
+ 84 2015-08-25    SELL_GRADUAL   QQQ      440 $  90.96 $      40,021   19      $40,576     $161,163 FEAR_TRANSITION
+ 85 2015-08-26    SELL_GRADUAL   QQQ      440 $  95.54 $      42,037   30      $82,612     $167,235 FEAR_TRANSITION
+ 86 2015-08-27    SELL_GRADUAL   QQQ      440 $  97.96 $      43,101   37     $125,714     $169,377 FEAR_TRANSITION
+ 87 2015-08-28    SELL_GRADUAL   QQQ      440 $  97.94 $      43,093   37     $168,807     $169,370 FEAR_TRANSITION
+ 88 2015-09-01     BUY_GRADUAL  NFLX      399 $ 105.79 $      42,210   29     $126,597     $169,343 GREED_TRANSITION
+ 89 2015-09-02     BUY_GRADUAL  NVDA    78306 $   0.54 $      42,267   34      $84,330     $169,220 GREED_TRANSITION
+ 90 2015-09-03     BUY_GRADUAL    MU     2608 $  16.20 $      42,259   36      $42,071     $167,587 GREED_TRANSITION
+ 91 2015-09-28       STOP_LOSS    MU     2608 $  13.73 $      35,814   29      $77,885     $162,450 VOLATILE_STOCKS
+ 92 2015-09-28 BUY_QQQ_STOPLOSS   QQQ      385 $  92.94 $      35,784   29      $42,102     $162,450 VOLATILE_STOCKS
+ 93 2017-02-16    SELL_GRADUAL  NFLX       99 $ 142.01 $      14,059   74      $56,161     $353,212  QQQ_TRANSITION
+ 94 2017-02-16    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,711   74     $107,872     $353,212  QQQ_TRANSITION
+ 95 2017-02-16     BUY_GRADUAL   QQQ      634 $ 121.85 $      77,254   74      $30,618     $353,212  QQQ_TRANSITION
+ 96 2017-02-17    SELL_GRADUAL  NFLX       99 $ 142.22 $      14,080   74      $44,697     $353,786  QQQ_TRANSITION
+ 97 2017-02-17    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,701   74      $96,399     $353,786  QQQ_TRANSITION
+ 98 2017-02-17     BUY_GRADUAL   QQQ      632 $ 122.38 $      77,344   74      $19,055     $353,786  QQQ_TRANSITION
+ 99 2017-02-21    SELL_GRADUAL  NFLX       99 $ 142.60 $      14,117   76      $33,172     $358,565  QQQ_TRANSITION
+100 2017-02-21    SELL_GRADUAL  NVDA    19576 $   2.74 $      53,553   76      $86,725     $358,565  QQQ_TRANSITION
+101 2017-02-21     BUY_GRADUAL   QQQ      628 $ 122.98 $      77,233   76       $9,492     $358,565  QQQ_TRANSITION
+102 2017-02-22    SELL_GRADUAL  NFLX       99 $ 143.86 $      14,242   75      $23,734     $358,720  QQQ_TRANSITION
+103 2017-02-22    SELL_GRADUAL  NVDA    19576 $   2.73 $      53,471   75      $77,204     $358,720  QQQ_TRANSITION
+104 2018-12-18    SELL_GRADUAL   QQQ      570 $ 151.55 $      86,385   24     $163,590     $424,134 FEAR_TRANSITION
+105 2018-12-19    SELL_GRADUAL   QQQ      570 $ 147.83 $      84,264   23     $247,854     $417,734 FEAR_TRANSITION
+106 2018-12-20    SELL_GRADUAL   QQQ      570 $ 145.69 $      83,043   22     $330,897     $415,268 FEAR_TRANSITION
+107 2018-12-21    SELL_GRADUAL   QQQ      570 $ 141.17 $      80,469   20     $411,366     $412,636 FEAR_TRANSITION
+108 2018-12-27     BUY_GRADUAL    ZS     2566 $  40.17 $     103,076   28     $308,289     $412,683 GREED_TRANSITION
+109 2018-12-28     BUY_GRADUAL   AMD     5785 $  17.82 $     103,089   26     $205,201     $411,733 GREED_TRANSITION
+110 2018-12-31     BUY_GRADUAL   MDB     1231 $  83.74 $     103,084   30     $102,117     $413,961 GREED_TRANSITION
+111 2019-04-24    SELL_GRADUAL    ZS      641 $  64.99 $      41,659   75     $143,775     $601,726  QQQ_TRANSITION
+112 2019-04-24    SELL_GRADUAL   AMD     1446 $  28.46 $      41,153   75     $184,928     $601,726  QQQ_TRANSITION
+113 2019-04-24    SELL_GRADUAL   MDB      307 $ 135.16 $      41,494   75     $226,423     $601,726  QQQ_TRANSITION
+114 2019-04-24     BUY_GRADUAL   QQQ      825 $ 182.34 $     150,428   75      $75,994     $601,726  QQQ_TRANSITION
+115 2019-04-25    SELL_GRADUAL    ZS      641 $  66.96 $      42,921   74     $118,916     $604,944  QQQ_TRANSITION
+116 2019-04-25    SELL_GRADUAL   AMD     1446 $  27.66 $      39,996   74     $158,912     $604,944  QQQ_TRANSITION
+117 2019-04-25    SELL_GRADUAL   MDB      307 $ 137.66 $      42,262   74     $201,174     $604,944  QQQ_TRANSITION
+118 2019-04-25     BUY_GRADUAL   QQQ      822 $ 183.08 $     150,490   74      $50,684     $604,944  QQQ_TRANSITION
+119 2019-04-26    SELL_GRADUAL    ZS      641 $  66.94 $      42,909   74      $93,592     $606,662  QQQ_TRANSITION
+120 2019-04-26    SELL_GRADUAL   AMD     1446 $  27.88 $      40,314   74     $133,907     $606,662  QQQ_TRANSITION
+121 2019-04-26    SELL_GRADUAL   MDB      307 $ 138.98 $      42,667   74     $176,574     $606,662  QQQ_TRANSITION
+122 2019-04-26     BUY_GRADUAL   QQQ      821 $ 183.24 $     150,441   74      $26,133     $606,662  QQQ_TRANSITION
+123 2019-04-29    SELL_GRADUAL    ZS      641 $  68.20 $      43,716   74      $69,849     $607,606  QQQ_TRANSITION
+124 2019-04-29    SELL_GRADUAL   AMD     1446 $  27.69 $      40,040   74     $109,889     $607,606  QQQ_TRANSITION
+125 2019-04-29    SELL_GRADUAL   MDB      307 $ 137.50 $      42,212   74     $152,101     $607,606  QQQ_TRANSITION
+126 2019-04-29     BUY_GRADUAL   QQQ      820 $ 183.60 $     150,549   74       $1,552     $607,606  QQQ_TRANSITION
+127 2020-02-28    SELL_GRADUAL   QQQ      822 $ 199.07 $     163,635   20     $165,188     $658,590 FEAR_TRANSITION
+128 2020-03-02    SELL_GRADUAL   QQQ      822 $ 209.34 $     172,080   37     $337,267     $684,012 FEAR_TRANSITION
+129 2020-03-03    SELL_GRADUAL   QQQ      822 $ 202.63 $     166,561   29     $503,829     $672,909 FEAR_TRANSITION
+130 2020-03-04    SELL_GRADUAL   QQQ      822 $ 211.08 $     173,511   38     $677,340     $679,956 FEAR_TRANSITION
+131 2020-03-06     BUY_GRADUAL  MRNA     5736 $  29.61 $     169,843   25     $507,497     $679,826 GREED_TRANSITION
+132 2020-03-09       STOP_LOSS  MRNA     5736 $  24.29 $     139,327   17     $646,824     $649,100 GREED_TRANSITION
+133 2020-03-09 BUY_QQQ_STOPLOSS   QQQ      744 $ 187.24 $     139,306   17     $507,518     $649,100 GREED_TRANSITION
+134 2020-03-09     BUY_GRADUAL  TSLA     4190 $  40.53 $     169,835   17     $337,683     $649,100 GREED_TRANSITION
+135 2020-03-10     BUY_GRADUAL  MRVL     7509 $  22.62 $     169,858   25     $167,825     $667,230 GREED_TRANSITION
+136 2020-03-12       STOP_LOSS  MRVL     7509 $  19.06 $     143,146   17     $310,971     $597,219 VOLATILE_STOCKS
+137 2020-03-12 BUY_QQQ_STOPLOSS   QQQ      834 $ 171.52 $     143,049   17     $167,922     $597,219 VOLATILE_STOCKS
+138 2020-03-16       STOP_LOSS  TSLA     4190 $  29.67 $     124,323   19     $292,245     $552,585 VOLATILE_STOCKS
+139 2020-03-16 BUY_QQQ_STOPLOSS   QQQ      759 $ 163.76 $     124,296   19     $167,949     $552,585 VOLATILE_STOCKS
+140 2020-06-03     BUY_GRADUAL   QQQ      185 $ 229.44 $      42,446   79     $125,503     $707,213  QQQ_TRANSITION
+141 2020-06-04     BUY_GRADUAL   QQQ      187 $ 227.83 $      42,604   79      $82,899     $703,082  QQQ_TRANSITION
+142 2020-06-05     BUY_GRADUAL   QQQ      183 $ 232.35 $      42,519   84      $40,380     $715,284  QQQ_TRANSITION
+143 2022-01-26    SELL_GRADUAL   QQQ      723 $ 336.81 $     243,517   24     $283,896   $1,018,473 FEAR_TRANSITION
+144 2022-01-27    SELL_GRADUAL   QQQ      723 $ 333.42 $     241,064   23     $524,961   $1,011,148 FEAR_TRANSITION
+145 2022-01-28    SELL_GRADUAL   QQQ      723 $ 343.88 $     248,626   32     $773,587   $1,026,391 FEAR_TRANSITION
+146 2022-01-31    SELL_GRADUAL   QQQ      723 $ 354.88 $     256,577   41   $1,030,164   $1,034,684 FEAR_TRANSITION
+147 2022-02-02     BUY_GRADUAL  NFLX      601 $ 429.48 $     258,117   47     $772,047   $1,034,708 GREED_TRANSITION
+148 2022-02-03     BUY_GRADUAL   PDD     4689 $  55.13 $     258,505   43     $513,542   $1,020,143 GREED_TRANSITION
+149 2022-02-04     BUY_GRADUAL   WBD     8945 $  28.90 $     258,510   46     $255,031   $1,026,385 GREED_TRANSITION
+150 2022-03-03       STOP_LOSS   PDD     4689 $  45.22 $     212,037   39     $467,068     $948,795 VOLATILE_STOCKS
+151 2022-03-03 BUY_QQQ_STOPLOSS   QQQ      633 $ 334.56 $     211,774   39     $255,294     $948,795 VOLATILE_STOCKS
+152 2022-03-11       STOP_LOSS   WBD     8945 $  23.99 $     214,591   31     $469,885     $878,854 VOLATILE_STOCKS
+153 2022-03-11 BUY_QQQ_STOPLOSS   QQQ      676 $ 317.10 $     214,358   31     $255,526     $878,854 VOLATILE_STOCKS
+154 2022-08-16    SELL_GRADUAL  NFLX      151 $ 245.69 $      37,099   76     $292,625     $833,290  QQQ_TRANSITION
+155 2022-08-16     BUY_GRADUAL   QQQ      313 $ 325.83 $     101,984   76     $190,641     $833,290  QQQ_TRANSITION
+156 2022-08-17    SELL_GRADUAL  NFLX      151 $ 241.15 $      36,414   72     $227,055     $825,132  QQQ_TRANSITION
+157 2022-08-17     BUY_GRADUAL   QQQ      316 $ 322.11 $     101,787   72     $125,268     $825,132  QQQ_TRANSITION
+158 2022-08-18    SELL_GRADUAL  NFLX      151 $ 245.17 $      37,021   73     $162,289     $827,836  QQQ_TRANSITION
+159 2022-08-18     BUY_GRADUAL   QQQ      316 $ 322.89 $     102,032   73      $60,257     $827,836  QQQ_TRANSITION
+160 2022-08-19    SELL_GRADUAL  NFLX      151 $ 241.16 $      36,415   68      $96,672     $812,946  QQQ_TRANSITION
+161 2022-09-26    SELL_GRADUAL   QQQ      564 $ 269.53 $     152,012   25     $248,684     $706,189 FEAR_TRANSITION
+162 2022-09-27    SELL_GRADUAL   QQQ      564 $ 269.63 $     152,073   26     $400,758     $706,398 FEAR_TRANSITION
+163 2022-09-28    SELL_GRADUAL   QQQ      564 $ 275.00 $     155,098   33     $555,856     $712,492 FEAR_TRANSITION
+164 2022-09-29    SELL_GRADUAL   QQQ      564 $ 267.07 $     150,627   29     $706,483     $707,973 FEAR_TRANSITION
+165 2022-10-03     BUY_GRADUAL  BIIB      669 $ 264.30 $     176,817   32     $529,667     $707,986 GREED_TRANSITION
+166 2022-10-04     BUY_GRADUAL  REGN      239 $ 737.50 $     176,263   42     $353,404     $710,159 GREED_TRANSITION
+167 2022-10-05     BUY_GRADUAL  NFLX      747 $ 236.73 $     176,837   42     $176,567     $707,777 GREED_TRANSITION
+168 2023-02-03    SELL_GRADUAL  BIIB      167 $ 283.63 $      47,366   72     $223,933     $827,955  QQQ_TRANSITION
+169 2023-02-03    SELL_GRADUAL  REGN       59 $ 780.97 $      46,077   72     $270,010     $827,955  QQQ_TRANSITION
+170 2023-02-03    SELL_GRADUAL  NFLX      186 $ 365.90 $      68,057   72     $338,067     $827,955  QQQ_TRANSITION
+171 2023-02-03     BUY_GRADUAL   QQQ      683 $ 301.49 $     205,920   72     $132,147     $827,955  QQQ_TRANSITION
+172 2023-02-06    SELL_GRADUAL  BIIB      167 $ 288.28 $      48,143   65     $180,290     $825,631  QQQ_TRANSITION
+173 2023-02-06    SELL_GRADUAL  REGN       59 $ 778.71 $      45,944   65     $226,234     $825,631  QQQ_TRANSITION
+174 2023-02-06    SELL_GRADUAL  NFLX      186 $ 361.48 $      67,235   65     $293,469     $825,631  QQQ_TRANSITION
+175 2023-02-06     BUY_GRADUAL   QQQ      688 $ 298.94 $     205,673   65      $87,796     $825,631  QQQ_TRANSITION
+176 2023-02-07    SELL_GRADUAL  BIIB      167 $ 291.43 $      48,669   70     $136,464     $834,461  QQQ_TRANSITION
+177 2023-02-07    SELL_GRADUAL  REGN       59 $ 767.82 $      45,301   70     $181,766     $834,461  QQQ_TRANSITION
+178 2023-02-07    SELL_GRADUAL  NFLX      186 $ 362.95 $      67,509   70     $249,274     $834,461  QQQ_TRANSITION
+179 2023-02-07     BUY_GRADUAL   QQQ      674 $ 305.14 $     205,663   70      $43,612     $834,461  QQQ_TRANSITION
+180 2023-02-08    SELL_GRADUAL  BIIB      167 $ 285.45 $      47,670   64      $91,282     $821,817  QQQ_TRANSITION
+181 2023-02-08    SELL_GRADUAL  REGN       59 $ 747.59 $      44,108   64     $135,390     $821,817  QQQ_TRANSITION
+182 2023-02-08    SELL_GRADUAL  NFLX      186 $ 366.83 $      68,230   64     $203,620     $821,817  QQQ_TRANSITION
+183 2023-11-09       STOP_LOSS  BIIB        1 $ 224.65 $         225   54     $203,845     $958,229        QQQ_HOLD
+184 2025-04-07    SELL_GRADUAL   QQQ      511 $ 423.21 $     216,263   24     $420,108   $1,075,227 FEAR_TRANSITION
+185 2025-04-08    SELL_GRADUAL   QQQ      511 $ 415.59 $     212,368   23     $632,476   $1,063,447 FEAR_TRANSITION
+186 2025-04-09    SELL_GRADUAL   QQQ      511 $ 465.48 $     237,859   39     $870,335   $1,115,043 FEAR_TRANSITION
+187 2025-04-10    SELL_GRADUAL   QQQ      511 $ 445.68 $     227,742   34   $1,098,077   $1,104,615 FEAR_TRANSITION
+188 2025-04-14     BUY_GRADUAL  MCHP     7155 $  38.58 $     276,050   37     $822,027   $1,104,757 GREED_TRANSITION
+189 2025-04-15     BUY_GRADUAL   WBD    33461 $   8.25 $     276,053   38     $545,974   $1,103,807 GREED_TRANSITION
+190 2025-04-16       STOP_LOSS   WBD    33461 $   7.92 $     265,011   32     $810,985   $1,087,112 GREED_TRANSITION
+191 2025-04-16 BUY_QQQ_STOPLOSS   QQQ      597 $ 443.68 $     264,878   32     $546,107   $1,087,112 GREED_TRANSITION
+192 2025-04-16     BUY_GRADUAL   AMD     3126 $  88.29 $     275,995   32     $270,112   $1,087,112 GREED_TRANSITION
+193 2025-05-20    SELL_GRADUAL   AMD      781 $ 113.51 $      88,651   76     $358,764   $1,374,923  QQQ_TRANSITION
+194 2025-05-20    SELL_GRADUAL  MCHP     1788 $  60.33 $     107,876   76     $466,639   $1,374,923  QQQ_TRANSITION
+195 2025-05-20     BUY_GRADUAL   QQQ      512 $ 519.69 $     266,079   76     $200,560   $1,374,923  QQQ_TRANSITION
+196 2025-05-21    SELL_GRADUAL   AMD      781 $ 112.06 $      87,519   69     $288,079   $1,355,190  QQQ_TRANSITION
+197 2025-05-21    SELL_GRADUAL  MCHP     1788 $  58.79 $     105,125   69     $393,204   $1,355,190  QQQ_TRANSITION
+198 2025-05-21     BUY_GRADUAL   QQQ      520 $ 512.46 $     266,481   69     $126,722   $1,355,190  QQQ_TRANSITION
+199 2025-05-22    SELL_GRADUAL   AMD      781 $ 110.71 $      86,465   67     $213,187   $1,351,925  QQQ_TRANSITION
+200 2025-05-22    SELL_GRADUAL  MCHP     1788 $  58.05 $     103,793   67     $316,980   $1,351,925  QQQ_TRANSITION
+201 2025-05-22     BUY_GRADUAL   QQQ      519 $ 513.42 $     266,467   67      $50,514   $1,351,925  QQQ_TRANSITION
+202 2025-05-23    SELL_GRADUAL   AMD      781 $ 110.31 $      86,152   62     $136,666   $1,338,007  QQQ_TRANSITION
+203 2025-05-23    SELL_GRADUAL  MCHP     1788 $  56.19 $     100,468   62     $237,133   $1,338,007  QQQ_TRANSITION

backtest/reports/detailed_trades_20250718_192206.txt

@@ -0,0 +1,220 @@
+Enhanced Emotional Damage Strategy - Detailed Trades Report
+========================================================================================================================
+
+📊 交易摘要:
+总交易数: 203
+交易时间: 2008-01-09 到 2025-05-23
+
+交易类型统计:
+  SELL_GRADUAL: 96
+  BUY_GRADUAL: 67
+  STOP_LOSS: 21
+  BUY_QQQ_STOPLOSS: 19
+
+📋 详细交易记录:
+======================================================================================================================================================
+ No       Date          Action Ticker   Shares   Price        Value  F&G         Cash       Assets           State
+======================================================================================================================================================
+  1 2008-01-09    SELL_GRADUAL   QQQ      609 $  41.37 $      25,193   26      $25,208     $100,829 FEAR_TRANSITION
+  2 2008-01-10    SELL_GRADUAL   QQQ      609 $  41.43 $      25,230   33      $50,438     $100,940 FEAR_TRANSITION
+  3 2008-01-11    SELL_GRADUAL   QQQ      609 $  40.62 $      24,736   28      $75,174      $99,951 FEAR_TRANSITION
+  4 2008-01-14    SELL_GRADUAL   QQQ      609 $  41.33 $      25,167   31     $100,341     $100,383 FEAR_TRANSITION
+  5 2008-01-16     BUY_GRADUAL  ILMN      745 $  33.63 $      25,057   27      $75,284     $100,381 GREED_TRANSITION
+  6 2008-01-17     BUY_GRADUAL  TMUS      852 $  29.42 $      25,063   20      $50,221      $99,964 GREED_TRANSITION
+  7 2008-01-18     BUY_GRADUAL  DXCM    11274 $   2.22 $      25,085   20      $25,137      $98,656 GREED_TRANSITION
+  8 2008-01-22     BUY_GRADUAL  SBUX     3549 $   7.07 $      25,085   19          $52      $97,152 GREED_TRANSITION
+  9 2008-02-20       STOP_LOSS  TMUS      852 $  24.77 $      21,101   54      $21,153      $94,385 VOLATILE_STOCKS
+ 10 2008-02-20 BUY_QQQ_STOPLOSS   QQQ      556 $  37.93 $      21,090   54          $63      $94,385 VOLATILE_STOCKS
+ 11 2008-02-28       STOP_LOSS  DXCM    11274 $   1.88 $      21,251   50      $21,314      $94,276 VOLATILE_STOCKS
+ 12 2008-02-28 BUY_QQQ_STOPLOSS   QQQ      557 $  38.09 $      21,215   50          $99      $94,276 VOLATILE_STOCKS
+ 13 2008-04-25       STOP_LOSS  SBUX     3549 $   6.00 $      21,310   69      $21,409      $95,418 VOLATILE_STOCKS
+ 14 2008-04-25 BUY_QQQ_STOPLOSS   QQQ      523 $  40.74 $      21,305   69         $104      $95,418 VOLATILE_STOCKS
+ 15 2008-10-09       STOP_LOSS  ILMN      745 $  28.21 $      21,017    9      $21,121      $65,760 VOLATILE_STOCKS
+ 16 2008-10-09 BUY_QQQ_STOPLOSS   QQQ      770 $  27.27 $      20,997    9         $124      $65,760 VOLATILE_STOCKS
+ 17 2009-05-05     BUY_GRADUAL   QQQ        1 $  30.39 $          30   76          $93      $73,275  QQQ_TRANSITION
+ 18 2009-05-06     BUY_GRADUAL   QQQ        1 $  30.40 $          30   82          $63      $73,296  QQQ_TRANSITION
+ 19 2009-05-07     BUY_GRADUAL   QQQ        1 $  29.69 $          30   78          $33      $71,582  QQQ_TRANSITION
+ 20 2009-05-08     BUY_GRADUAL   QQQ        1 $  29.71 $          30   75           $3      $71,624  QQQ_TRANSITION
+ 21 2010-05-27    SELL_GRADUAL   QQQ      602 $  40.00 $      24,082   34      $24,086      $96,453 FEAR_TRANSITION
+ 22 2010-05-28    SELL_GRADUAL   QQQ      602 $  39.77 $      23,941   33      $48,026      $96,027 FEAR_TRANSITION
+ 23 2010-06-01    SELL_GRADUAL   QQQ      602 $  39.40 $      23,720   27      $71,746      $95,585 FEAR_TRANSITION
+ 24 2010-06-02    SELL_GRADUAL   QQQ      602 $  40.34 $      24,282   38      $96,028      $96,149 FEAR_TRANSITION
+ 25 2010-06-04     BUY_GRADUAL  SIRI     2705 $   8.87 $      24,002   37      $72,026      $96,146 GREED_TRANSITION
+ 26 2010-06-07     BUY_GRADUAL  NFLX     1539 $  15.59 $      24,000   35      $48,026      $95,899 GREED_TRANSITION
+ 27 2010-06-08     BUY_GRADUAL  TMUS     1793 $  13.38 $      23,998   34      $24,028      $95,666 GREED_TRANSITION
+ 28 2010-06-09       STOP_LOSS  TMUS     1793 $  13.38 $      23,998   33      $48,026      $97,032 GREED_TRANSITION
+ 29 2010-06-09 BUY_QQQ_STOPLOSS   QQQ      627 $  38.22 $      23,961   33      $24,065      $97,032 GREED_TRANSITION
+ 30 2010-06-09     BUY_GRADUAL  LULU     1227 $  19.55 $      23,988   33          $77      $97,032 GREED_TRANSITION
+ 31 2010-08-30       STOP_LOSS  LULU     1227 $  15.95 $      19,571   31      $19,648      $94,278 VOLATILE_STOCKS
+ 32 2010-08-30 BUY_QQQ_STOPLOSS   QQQ      512 $  38.18 $      19,548   31         $100      $94,278 VOLATILE_STOCKS
+ 33 2010-11-04    SELL_GRADUAL  SIRI      676 $  13.31 $       8,998   80       $9,097     $126,785  QQQ_TRANSITION
+ 34 2010-11-04    SELL_GRADUAL  NFLX      384 $  23.97 $       9,206   80      $18,303     $126,785  QQQ_TRANSITION
+ 35 2010-11-05    SELL_GRADUAL  SIRI      676 $  13.85 $       9,365   80      $27,668     $127,933  QQQ_TRANSITION
+ 36 2010-11-05    SELL_GRADUAL  NFLX      384 $  24.01 $       9,221   80      $36,890     $127,933  QQQ_TRANSITION
+ 37 2010-11-05     BUY_GRADUAL   QQQ      404 $  47.10 $      19,027   80      $17,862     $127,933  QQQ_TRANSITION
+ 38 2010-11-08    SELL_GRADUAL  SIRI      676 $  14.03 $       9,487   78      $27,349     $128,387  QQQ_TRANSITION
+ 39 2010-11-08    SELL_GRADUAL  NFLX      384 $  24.16 $       9,278   78      $36,627     $128,387  QQQ_TRANSITION
+ 40 2010-11-08     BUY_GRADUAL   QQQ      404 $  47.16 $      19,052   78      $17,575     $128,387  QQQ_TRANSITION
+ 41 2010-11-09    SELL_GRADUAL  SIRI      676 $  13.49 $       9,120   74      $26,695     $127,596  QQQ_TRANSITION
+ 42 2010-11-09    SELL_GRADUAL  NFLX      384 $  24.35 $       9,351   74      $36,046     $127,596  QQQ_TRANSITION
+ 43 2010-11-09     BUY_GRADUAL   QQQ      406 $  46.90 $      19,043   74      $17,003     $127,596  QQQ_TRANSITION
+ 44 2011-08-05    SELL_GRADUAL   QQQ      589 $  47.50 $      27,980   16      $44,983     $129,044 FEAR_TRANSITION
+ 45 2011-08-08    SELL_GRADUAL   QQQ      589 $  44.65 $      26,296   12      $71,279     $123,983 FEAR_TRANSITION
+ 46 2011-08-09    SELL_GRADUAL   QQQ      589 $  46.80 $      27,564   21      $98,843     $126,526 FEAR_TRANSITION
+ 47 2011-08-10    SELL_GRADUAL   QQQ      589 $  44.88 $      26,436   16     $125,280     $125,395 FEAR_TRANSITION
+ 48 2011-08-16     BUY_GRADUAL   AMD     4944 $   6.34 $      31,345   28      $93,935     $125,400 GREED_TRANSITION
+ 49 2011-08-17     BUY_GRADUAL  DXCM    11087 $   2.83 $      31,348   27      $62,586     $124,408 GREED_TRANSITION
+ 50 2011-08-18     BUY_GRADUAL  ILMN      684 $  45.82 $      31,339   21      $31,247     $121,090 GREED_TRANSITION
+ 51 2011-09-29       STOP_LOSS   AMD     4944 $   5.31 $      26,253   36      $57,500     $119,987 VOLATILE_STOCKS
+ 52 2011-09-29 BUY_QQQ_STOPLOSS   QQQ      551 $  47.64 $      26,248   36      $31,252     $119,987 VOLATILE_STOCKS
+ 53 2011-10-07       STOP_LOSS  ILMN      684 $  26.44 $      18,085   46      $49,337     $106,508 VOLATILE_STOCKS
+ 54 2011-10-07 BUY_QQQ_STOPLOSS   QQQ      378 $  47.80 $      18,070   46      $31,267     $106,508 VOLATILE_STOCKS
+ 55 2011-10-25       STOP_LOSS  NFLX        3 $  11.05 $          33   58      $31,300     $107,461 VOLATILE_STOCKS
+ 56 2011-11-03       STOP_LOSS  DXCM    11087 $   1.97 $      21,814   63      $53,114     $100,849 VOLATILE_STOCKS
+ 57 2011-11-03 BUY_QQQ_STOPLOSS   QQQ      424 $  51.37 $      21,780   63      $31,334     $100,849 VOLATILE_STOCKS
+ 58 2012-01-20     BUY_GRADUAL   QQQ      147 $  53.05 $       7,798   76      $23,536     $103,125  QQQ_TRANSITION
+ 59 2012-01-23     BUY_GRADUAL   QQQ      147 $  53.06 $       7,800   75      $15,735     $103,151  QQQ_TRANSITION
+ 60 2012-01-24     BUY_GRADUAL   QQQ      147 $  52.97 $       7,786   74       $7,949     $102,990  QQQ_TRANSITION
+ 61 2012-01-25     BUY_GRADUAL   QQQ      146 $  53.63 $       7,830   75         $119     $104,184  QQQ_TRANSITION
+ 62 2012-05-21    SELL_GRADUAL   QQQ      485 $  55.57 $      26,953   34      $27,072     $107,948 FEAR_TRANSITION
+ 63 2012-05-22    SELL_GRADUAL   QQQ      485 $  55.51 $      26,922   34      $53,994     $107,857 FEAR_TRANSITION
+ 64 2012-05-23    SELL_GRADUAL   QQQ      485 $  55.62 $      26,974   33      $80,968     $107,961 FEAR_TRANSITION
+ 65 2012-05-24    SELL_GRADUAL   QQQ      485 $  55.25 $      26,797   32     $107,766     $107,784 FEAR_TRANSITION
+ 66 2012-05-29     BUY_GRADUAL  VRTX      466 $  57.80 $      26,935   39      $80,831     $107,783 GREED_TRANSITION
+ 67 2012-05-30     BUY_GRADUAL  NXPI     1395 $  19.31 $      26,933   33      $53,898     $108,892 GREED_TRANSITION
+ 68 2012-05-31     BUY_GRADUAL  REGN      199 $ 135.28 $      26,920   34      $26,978     $108,301 GREED_TRANSITION
+ 69 2012-06-01     BUY_GRADUAL  MNST     2291 $  11.76 $      26,935   27          $44     $103,625 GREED_TRANSITION
+ 70 2012-06-13       STOP_LOSS  REGN      199 $ 111.57 $      22,203   44      $22,246     $101,613 VOLATILE_STOCKS
+ 71 2012-06-13 BUY_QQQ_STOPLOSS   QQQ      401 $  55.23 $      22,149   44          $97     $101,613 VOLATILE_STOCKS
+ 72 2012-07-24       STOP_LOSS  VRTX      466 $  48.37 $      22,540   51      $22,638      $98,436 VOLATILE_STOCKS
+ 73 2012-07-24 BUY_QQQ_STOPLOSS   QQQ      401 $  56.10 $      22,497   51         $141      $98,436 VOLATILE_STOCKS
+ 74 2012-08-10       STOP_LOSS  MNST     2291 $   9.05 $      20,722   62      $20,863      $99,014 VOLATILE_STOCKS
+ 75 2012-08-10 BUY_QQQ_STOPLOSS   QQQ      347 $  59.58 $      20,673   62         $190      $99,014 VOLATILE_STOCKS
+ 76 2013-01-24    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   75       $9,399     $105,958  QQQ_TRANSITION
+ 77 2013-01-24     BUY_GRADUAL   QQQ      154 $  59.90 $       9,224   75         $175     $105,958  QQQ_TRANSITION
+ 78 2013-01-25    SELL_GRADUAL  NXPI      348 $  26.98 $       9,390   77       $9,565     $106,902  QQQ_TRANSITION
+ 79 2013-01-25     BUY_GRADUAL   QQQ      154 $  60.20 $       9,272   77         $293     $106,902  QQQ_TRANSITION
+ 80 2013-01-28    SELL_GRADUAL  NXPI      348 $  27.35 $       9,518   76       $9,811     $107,355  QQQ_TRANSITION
+ 81 2013-01-28     BUY_GRADUAL   QQQ      153 $  60.34 $       9,232   76         $579     $107,355  QQQ_TRANSITION
+ 82 2013-01-29    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   77       $9,788     $107,058  QQQ_TRANSITION
+ 83 2013-01-29     BUY_GRADUAL   QQQ      153 $  60.35 $       9,233   77         $555     $107,058  QQQ_TRANSITION
+ 84 2015-08-25    SELL_GRADUAL   QQQ      440 $  90.96 $      40,021   19      $40,576     $161,163 FEAR_TRANSITION
+ 85 2015-08-26    SELL_GRADUAL   QQQ      440 $  95.54 $      42,037   30      $82,612     $167,235 FEAR_TRANSITION
+ 86 2015-08-27    SELL_GRADUAL   QQQ      440 $  97.96 $      43,101   37     $125,714     $169,377 FEAR_TRANSITION
+ 87 2015-08-28    SELL_GRADUAL   QQQ      440 $  97.94 $      43,093   37     $168,807     $169,370 FEAR_TRANSITION
+ 88 2015-09-01     BUY_GRADUAL  NFLX      399 $ 105.79 $      42,210   29     $126,597     $169,343 GREED_TRANSITION
+ 89 2015-09-02     BUY_GRADUAL  NVDA    78306 $   0.54 $      42,267   34      $84,330     $169,220 GREED_TRANSITION
+ 90 2015-09-03     BUY_GRADUAL    MU     2608 $  16.20 $      42,259   36      $42,071     $167,587 GREED_TRANSITION
+ 91 2015-09-28       STOP_LOSS    MU     2608 $  13.73 $      35,814   29      $77,885     $162,450 VOLATILE_STOCKS
+ 92 2015-09-28 BUY_QQQ_STOPLOSS   QQQ      385 $  92.94 $      35,784   29      $42,102     $162,450 VOLATILE_STOCKS
+ 93 2017-02-16    SELL_GRADUAL  NFLX       99 $ 142.01 $      14,059   74      $56,161     $353,212  QQQ_TRANSITION
+ 94 2017-02-16    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,711   74     $107,872     $353,212  QQQ_TRANSITION
+ 95 2017-02-16     BUY_GRADUAL   QQQ      634 $ 121.85 $      77,254   74      $30,618     $353,212  QQQ_TRANSITION
+ 96 2017-02-17    SELL_GRADUAL  NFLX       99 $ 142.22 $      14,080   74      $44,697     $353,786  QQQ_TRANSITION
+ 97 2017-02-17    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,701   74      $96,399     $353,786  QQQ_TRANSITION
+ 98 2017-02-17     BUY_GRADUAL   QQQ      632 $ 122.38 $      77,344   74      $19,055     $353,786  QQQ_TRANSITION
+ 99 2017-02-21    SELL_GRADUAL  NFLX       99 $ 142.60 $      14,117   76      $33,172     $358,565  QQQ_TRANSITION
+100 2017-02-21    SELL_GRADUAL  NVDA    19576 $   2.74 $      53,553   76      $86,725     $358,565  QQQ_TRANSITION
+101 2017-02-21     BUY_GRADUAL   QQQ      628 $ 122.98 $      77,233   76       $9,492     $358,565  QQQ_TRANSITION
+102 2017-02-22    SELL_GRADUAL  NFLX       99 $ 143.86 $      14,242   75      $23,734     $358,720  QQQ_TRANSITION
+103 2017-02-22    SELL_GRADUAL  NVDA    19576 $   2.73 $      53,471   75      $77,204     $358,720  QQQ_TRANSITION
+104 2018-12-18    SELL_GRADUAL   QQQ      570 $ 151.55 $      86,385   24     $163,590     $424,134 FEAR_TRANSITION
+105 2018-12-19    SELL_GRADUAL   QQQ      570 $ 147.83 $      84,264   23     $247,854     $417,734 FEAR_TRANSITION
+106 2018-12-20    SELL_GRADUAL   QQQ      570 $ 145.69 $      83,043   22     $330,897     $415,268 FEAR_TRANSITION
+107 2018-12-21    SELL_GRADUAL   QQQ      570 $ 141.17 $      80,469   20     $411,366     $412,636 FEAR_TRANSITION
+108 2018-12-27     BUY_GRADUAL    ZS     2566 $  40.17 $     103,076   28     $308,289     $412,683 GREED_TRANSITION
+109 2018-12-28     BUY_GRADUAL   AMD     5785 $  17.82 $     103,089   26     $205,201     $411,733 GREED_TRANSITION
+110 2018-12-31     BUY_GRADUAL   MDB     1231 $  83.74 $     103,084   30     $102,117     $413,961 GREED_TRANSITION
+111 2019-04-24    SELL_GRADUAL    ZS      641 $  64.99 $      41,659   75     $143,775     $601,726  QQQ_TRANSITION
+112 2019-04-24    SELL_GRADUAL   AMD     1446 $  28.46 $      41,153   75     $184,928     $601,726  QQQ_TRANSITION
+113 2019-04-24    SELL_GRADUAL   MDB      307 $ 135.16 $      41,494   75     $226,423     $601,726  QQQ_TRANSITION
+114 2019-04-24     BUY_GRADUAL   QQQ      825 $ 182.34 $     150,428   75      $75,994     $601,726  QQQ_TRANSITION
+115 2019-04-25    SELL_GRADUAL    ZS      641 $  66.96 $      42,921   74     $118,916     $604,944  QQQ_TRANSITION
+116 2019-04-25    SELL_GRADUAL   AMD     1446 $  27.66 $      39,996   74     $158,912     $604,944  QQQ_TRANSITION
+117 2019-04-25    SELL_GRADUAL   MDB      307 $ 137.66 $      42,262   74     $201,174     $604,944  QQQ_TRANSITION
+118 2019-04-25     BUY_GRADUAL   QQQ      822 $ 183.08 $     150,490   74      $50,684     $604,944  QQQ_TRANSITION
+119 2019-04-26    SELL_GRADUAL    ZS      641 $  66.94 $      42,909   74      $93,592     $606,662  QQQ_TRANSITION
+120 2019-04-26    SELL_GRADUAL   AMD     1446 $  27.88 $      40,314   74     $133,907     $606,662  QQQ_TRANSITION
+121 2019-04-26    SELL_GRADUAL   MDB      307 $ 138.98 $      42,667   74     $176,574     $606,662  QQQ_TRANSITION
+122 2019-04-26     BUY_GRADUAL   QQQ      821 $ 183.24 $     150,441   74      $26,133     $606,662  QQQ_TRANSITION
+123 2019-04-29    SELL_GRADUAL    ZS      641 $  68.20 $      43,716   74      $69,849     $607,606  QQQ_TRANSITION
+124 2019-04-29    SELL_GRADUAL   AMD     1446 $  27.69 $      40,040   74     $109,889     $607,606  QQQ_TRANSITION
+125 2019-04-29    SELL_GRADUAL   MDB      307 $ 137.50 $      42,212   74     $152,101     $607,606  QQQ_TRANSITION
+126 2019-04-29     BUY_GRADUAL   QQQ      820 $ 183.60 $     150,549   74       $1,552     $607,606  QQQ_TRANSITION
+127 2020-02-28    SELL_GRADUAL   QQQ      822 $ 199.07 $     163,635   20     $165,188     $658,590 FEAR_TRANSITION
+128 2020-03-02    SELL_GRADUAL   QQQ      822 $ 209.34 $     172,080   37     $337,267     $684,012 FEAR_TRANSITION
+129 2020-03-03    SELL_GRADUAL   QQQ      822 $ 202.63 $     166,561   29     $503,829     $672,909 FEAR_TRANSITION
+130 2020-03-04    SELL_GRADUAL   QQQ      822 $ 211.08 $     173,511   38     $677,340     $679,956 FEAR_TRANSITION
+131 2020-03-06     BUY_GRADUAL  MRNA     5736 $  29.61 $     169,843   25     $507,497     $679,826 GREED_TRANSITION
+132 2020-03-09       STOP_LOSS  MRNA     5736 $  24.29 $     139,327   17     $646,824     $649,100 GREED_TRANSITION
+133 2020-03-09 BUY_QQQ_STOPLOSS   QQQ      744 $ 187.24 $     139,306   17     $507,518     $649,100 GREED_TRANSITION
+134 2020-03-09     BUY_GRADUAL  TSLA     4190 $  40.53 $     169,835   17     $337,683     $649,100 GREED_TRANSITION
+135 2020-03-10     BUY_GRADUAL  MRVL     7509 $  22.62 $     169,858   25     $167,825     $667,230 GREED_TRANSITION
+136 2020-03-12       STOP_LOSS  MRVL     7509 $  19.06 $     143,146   17     $310,971     $597,219 VOLATILE_STOCKS
+137 2020-03-12 BUY_QQQ_STOPLOSS   QQQ      834 $ 171.52 $     143,049   17     $167,922     $597,219 VOLATILE_STOCKS
+138 2020-03-16       STOP_LOSS  TSLA     4190 $  29.67 $     124,323   19     $292,245     $552,585 VOLATILE_STOCKS
+139 2020-03-16 BUY_QQQ_STOPLOSS   QQQ      759 $ 163.76 $     124,296   19     $167,949     $552,585 VOLATILE_STOCKS
+140 2020-06-03     BUY_GRADUAL   QQQ      185 $ 229.44 $      42,446   79     $125,503     $707,213  QQQ_TRANSITION
+141 2020-06-04     BUY_GRADUAL   QQQ      187 $ 227.83 $      42,604   79      $82,899     $703,082  QQQ_TRANSITION
+142 2020-06-05     BUY_GRADUAL   QQQ      183 $ 232.35 $      42,519   84      $40,380     $715,284  QQQ_TRANSITION
+143 2022-01-26    SELL_GRADUAL   QQQ      723 $ 336.81 $     243,517   24     $283,896   $1,018,473 FEAR_TRANSITION
+144 2022-01-27    SELL_GRADUAL   QQQ      723 $ 333.42 $     241,064   23     $524,961   $1,011,148 FEAR_TRANSITION
+145 2022-01-28    SELL_GRADUAL   QQQ      723 $ 343.88 $     248,626   32     $773,587   $1,026,391 FEAR_TRANSITION
+146 2022-01-31    SELL_GRADUAL   QQQ      723 $ 354.88 $     256,577   41   $1,030,164   $1,034,684 FEAR_TRANSITION
+147 2022-02-02     BUY_GRADUAL  NFLX      601 $ 429.48 $     258,117   47     $772,047   $1,034,708 GREED_TRANSITION
+148 2022-02-03     BUY_GRADUAL   PDD     4689 $  55.13 $     258,505   43     $513,542   $1,020,143 GREED_TRANSITION
+149 2022-02-04     BUY_GRADUAL   WBD     8945 $  28.90 $     258,510   46     $255,031   $1,026,385 GREED_TRANSITION
+150 2022-03-03       STOP_LOSS   PDD     4689 $  45.22 $     212,037   39     $467,068     $948,795 VOLATILE_STOCKS
+151 2022-03-03 BUY_QQQ_STOPLOSS   QQQ      633 $ 334.56 $     211,774   39     $255,294     $948,795 VOLATILE_STOCKS
+152 2022-03-11       STOP_LOSS   WBD     8945 $  23.99 $     214,591   31     $469,885     $878,854 VOLATILE_STOCKS
+153 2022-03-11 BUY_QQQ_STOPLOSS   QQQ      676 $ 317.10 $     214,358   31     $255,526     $878,854 VOLATILE_STOCKS
+154 2022-08-16    SELL_GRADUAL  NFLX      151 $ 245.69 $      37,099   76     $292,625     $833,290  QQQ_TRANSITION
+155 2022-08-16     BUY_GRADUAL   QQQ      313 $ 325.83 $     101,984   76     $190,641     $833,290  QQQ_TRANSITION
+156 2022-08-17    SELL_GRADUAL  NFLX      151 $ 241.15 $      36,414   72     $227,055     $825,132  QQQ_TRANSITION
+157 2022-08-17     BUY_GRADUAL   QQQ      316 $ 322.11 $     101,787   72     $125,268     $825,132  QQQ_TRANSITION
+158 2022-08-18    SELL_GRADUAL  NFLX      151 $ 245.17 $      37,021   73     $162,289     $827,836  QQQ_TRANSITION
+159 2022-08-18     BUY_GRADUAL   QQQ      316 $ 322.89 $     102,032   73      $60,257     $827,836  QQQ_TRANSITION
+160 2022-08-19    SELL_GRADUAL  NFLX      151 $ 241.16 $      36,415   68      $96,672     $812,946  QQQ_TRANSITION
+161 2022-09-26    SELL_GRADUAL   QQQ      564 $ 269.53 $     152,012   25     $248,684     $706,189 FEAR_TRANSITION
+162 2022-09-27    SELL_GRADUAL   QQQ      564 $ 269.63 $     152,073   26     $400,758     $706,398 FEAR_TRANSITION
+163 2022-09-28    SELL_GRADUAL   QQQ      564 $ 275.00 $     155,098   33     $555,856     $712,492 FEAR_TRANSITION
+164 2022-09-29    SELL_GRADUAL   QQQ      564 $ 267.07 $     150,627   29     $706,483     $707,973 FEAR_TRANSITION
+165 2022-10-03     BUY_GRADUAL  BIIB      669 $ 264.30 $     176,817   32     $529,667     $707,986 GREED_TRANSITION
+166 2022-10-04     BUY_GRADUAL  REGN      239 $ 737.50 $     176,263   42     $353,404     $710,159 GREED_TRANSITION
+167 2022-10-05     BUY_GRADUAL  NFLX      747 $ 236.73 $     176,837   42     $176,567     $707,777 GREED_TRANSITION
+168 2023-02-03    SELL_GRADUAL  BIIB      167 $ 283.63 $      47,366   72     $223,933     $827,955  QQQ_TRANSITION
+169 2023-02-03    SELL_GRADUAL  REGN       59 $ 780.97 $      46,077   72     $270,010     $827,955  QQQ_TRANSITION
+170 2023-02-03    SELL_GRADUAL  NFLX      186 $ 365.90 $      68,057   72     $338,067     $827,955  QQQ_TRANSITION
+171 2023-02-03     BUY_GRADUAL   QQQ      683 $ 301.49 $     205,920   72     $132,147     $827,955  QQQ_TRANSITION
+172 2023-02-06    SELL_GRADUAL  BIIB      167 $ 288.28 $      48,143   65     $180,290     $825,631  QQQ_TRANSITION
+173 2023-02-06    SELL_GRADUAL  REGN       59 $ 778.71 $      45,944   65     $226,234     $825,631  QQQ_TRANSITION
+174 2023-02-06    SELL_GRADUAL  NFLX      186 $ 361.48 $      67,235   65     $293,469     $825,631  QQQ_TRANSITION
+175 2023-02-06     BUY_GRADUAL   QQQ      688 $ 298.94 $     205,673   65      $87,796     $825,631  QQQ_TRANSITION
+176 2023-02-07    SELL_GRADUAL  BIIB      167 $ 291.43 $      48,669   70     $136,464     $834,461  QQQ_TRANSITION
+177 2023-02-07    SELL_GRADUAL  REGN       59 $ 767.82 $      45,301   70     $181,766     $834,461  QQQ_TRANSITION
+178 2023-02-07    SELL_GRADUAL  NFLX      186 $ 362.95 $      67,509   70     $249,274     $834,461  QQQ_TRANSITION
+179 2023-02-07     BUY_GRADUAL   QQQ      674 $ 305.14 $     205,663   70      $43,612     $834,461  QQQ_TRANSITION
+180 2023-02-08    SELL_GRADUAL  BIIB      167 $ 285.45 $      47,670   64      $91,282     $821,817  QQQ_TRANSITION
+181 2023-02-08    SELL_GRADUAL  REGN       59 $ 747.59 $      44,108   64     $135,390     $821,817  QQQ_TRANSITION
+182 2023-02-08    SELL_GRADUAL  NFLX      186 $ 366.83 $      68,230   64     $203,620     $821,817  QQQ_TRANSITION
+183 2023-11-09       STOP_LOSS  BIIB        1 $ 224.65 $         225   54     $203,845     $958,229        QQQ_HOLD
+184 2025-04-07    SELL_GRADUAL   QQQ      511 $ 423.21 $     216,263   24     $420,108   $1,075,227 FEAR_TRANSITION
+185 2025-04-08    SELL_GRADUAL   QQQ      511 $ 415.59 $     212,368   23     $632,476   $1,063,447 FEAR_TRANSITION
+186 2025-04-09    SELL_GRADUAL   QQQ      511 $ 465.48 $     237,859   39     $870,335   $1,115,043 FEAR_TRANSITION
+187 2025-04-10    SELL_GRADUAL   QQQ      511 $ 445.68 $     227,742   34   $1,098,077   $1,104,615 FEAR_TRANSITION
+188 2025-04-14     BUY_GRADUAL  MCHP     7155 $  38.58 $     276,050   37     $822,027   $1,104,757 GREED_TRANSITION
+189 2025-04-15     BUY_GRADUAL   WBD    33461 $   8.25 $     276,053   38     $545,974   $1,103,807 GREED_TRANSITION
+190 2025-04-16       STOP_LOSS   WBD    33461 $   7.92 $     265,011   32     $810,985   $1,087,112 GREED_TRANSITION
+191 2025-04-16 BUY_QQQ_STOPLOSS   QQQ      597 $ 443.68 $     264,878   32     $546,107   $1,087,112 GREED_TRANSITION
+192 2025-04-16     BUY_GRADUAL   AMD     3126 $  88.29 $     275,995   32     $270,112   $1,087,112 GREED_TRANSITION
+193 2025-05-20    SELL_GRADUAL   AMD      781 $ 113.51 $      88,651   76     $358,764   $1,374,923  QQQ_TRANSITION
+194 2025-05-20    SELL_GRADUAL  MCHP     1788 $  60.33 $     107,876   76     $466,639   $1,374,923  QQQ_TRANSITION
+195 2025-05-20     BUY_GRADUAL   QQQ      512 $ 519.69 $     266,079   76     $200,560   $1,374,923  QQQ_TRANSITION
+196 2025-05-21    SELL_GRADUAL   AMD      781 $ 112.06 $      87,519   69     $288,079   $1,355,190  QQQ_TRANSITION
+197 2025-05-21    SELL_GRADUAL  MCHP     1788 $  58.79 $     105,125   69     $393,204   $1,355,190  QQQ_TRANSITION
+198 2025-05-21     BUY_GRADUAL   QQQ      520 $ 512.46 $     266,481   69     $126,722   $1,355,190  QQQ_TRANSITION
+199 2025-05-22    SELL_GRADUAL   AMD      781 $ 110.71 $      86,465   67     $213,187   $1,351,925  QQQ_TRANSITION
+200 2025-05-22    SELL_GRADUAL  MCHP     1788 $  58.05 $     103,793   67     $316,980   $1,351,925  QQQ_TRANSITION
+201 2025-05-22     BUY_GRADUAL   QQQ      519 $ 513.42 $     266,467   67      $50,514   $1,351,925  QQQ_TRANSITION
+202 2025-05-23    SELL_GRADUAL   AMD      781 $ 110.31 $      86,152   62     $136,666   $1,338,007  QQQ_TRANSITION
+203 2025-05-23    SELL_GRADUAL  MCHP     1788 $  56.19 $     100,468   62     $237,133   $1,338,007  QQQ_TRANSITION

backtest/reports/detailed_trades_20250718_204803.txt

@@ -0,0 +1,220 @@
+Enhanced Emotional Damage Strategy - Detailed Trades Report
+========================================================================================================================
+
+📊 交易摘要:
+总交易数: 203
+交易时间: 2008-01-09 到 2025-05-23
+
+交易类型统计:
+  SELL_GRADUAL: 96
+  BUY_GRADUAL: 67
+  STOP_LOSS: 21
+  BUY_QQQ_STOPLOSS: 19
+
+📋 详细交易记录:
+======================================================================================================================================================
+ No       Date          Action Ticker   Shares   Price        Value  F&G         Cash       Assets           State
+======================================================================================================================================================
+  1 2008-01-09    SELL_GRADUAL   QQQ      609 $  41.37 $      25,193   26      $25,208     $100,829 FEAR_TRANSITION
+  2 2008-01-10    SELL_GRADUAL   QQQ      609 $  41.43 $      25,230   33      $50,438     $100,940 FEAR_TRANSITION
+  3 2008-01-11    SELL_GRADUAL   QQQ      609 $  40.62 $      24,736   28      $75,174      $99,951 FEAR_TRANSITION
+  4 2008-01-14    SELL_GRADUAL   QQQ      609 $  41.33 $      25,167   31     $100,341     $100,383 FEAR_TRANSITION
+  5 2008-01-16     BUY_GRADUAL  ILMN      745 $  33.63 $      25,057   27      $75,284     $100,381 GREED_TRANSITION
+  6 2008-01-17     BUY_GRADUAL  TMUS      852 $  29.42 $      25,063   20      $50,221      $99,964 GREED_TRANSITION
+  7 2008-01-18     BUY_GRADUAL  DXCM    11274 $   2.22 $      25,085   20      $25,137      $98,656 GREED_TRANSITION
+  8 2008-01-22     BUY_GRADUAL  SBUX     3549 $   7.07 $      25,085   19          $52      $97,152 GREED_TRANSITION
+  9 2008-02-20       STOP_LOSS  TMUS      852 $  24.77 $      21,101   54      $21,153      $94,385 VOLATILE_STOCKS
+ 10 2008-02-20 BUY_QQQ_STOPLOSS   QQQ      556 $  37.93 $      21,090   54          $63      $94,385 VOLATILE_STOCKS
+ 11 2008-02-28       STOP_LOSS  DXCM    11274 $   1.88 $      21,251   50      $21,314      $94,276 VOLATILE_STOCKS
+ 12 2008-02-28 BUY_QQQ_STOPLOSS   QQQ      557 $  38.09 $      21,215   50          $99      $94,276 VOLATILE_STOCKS
+ 13 2008-04-25       STOP_LOSS  SBUX     3549 $   6.00 $      21,310   69      $21,409      $95,418 VOLATILE_STOCKS
+ 14 2008-04-25 BUY_QQQ_STOPLOSS   QQQ      523 $  40.74 $      21,305   69         $104      $95,418 VOLATILE_STOCKS
+ 15 2008-10-09       STOP_LOSS  ILMN      745 $  28.21 $      21,017    9      $21,121      $65,760 VOLATILE_STOCKS
+ 16 2008-10-09 BUY_QQQ_STOPLOSS   QQQ      770 $  27.27 $      20,997    9         $124      $65,760 VOLATILE_STOCKS
+ 17 2009-05-05     BUY_GRADUAL   QQQ        1 $  30.39 $          30   76          $93      $73,275  QQQ_TRANSITION
+ 18 2009-05-06     BUY_GRADUAL   QQQ        1 $  30.40 $          30   82          $63      $73,296  QQQ_TRANSITION
+ 19 2009-05-07     BUY_GRADUAL   QQQ        1 $  29.69 $          30   78          $33      $71,582  QQQ_TRANSITION
+ 20 2009-05-08     BUY_GRADUAL   QQQ        1 $  29.71 $          30   75           $3      $71,624  QQQ_TRANSITION
+ 21 2010-05-27    SELL_GRADUAL   QQQ      602 $  40.00 $      24,082   34      $24,086      $96,453 FEAR_TRANSITION
+ 22 2010-05-28    SELL_GRADUAL   QQQ      602 $  39.77 $      23,941   33      $48,026      $96,027 FEAR_TRANSITION
+ 23 2010-06-01    SELL_GRADUAL   QQQ      602 $  39.40 $      23,720   27      $71,746      $95,585 FEAR_TRANSITION
+ 24 2010-06-02    SELL_GRADUAL   QQQ      602 $  40.34 $      24,282   38      $96,028      $96,149 FEAR_TRANSITION
+ 25 2010-06-04     BUY_GRADUAL  SIRI     2705 $   8.87 $      24,002   37      $72,026      $96,146 GREED_TRANSITION
+ 26 2010-06-07     BUY_GRADUAL  NFLX     1539 $  15.59 $      24,000   35      $48,026      $95,899 GREED_TRANSITION
+ 27 2010-06-08     BUY_GRADUAL  TMUS     1793 $  13.38 $      23,998   34      $24,028      $95,666 GREED_TRANSITION
+ 28 2010-06-09       STOP_LOSS  TMUS     1793 $  13.38 $      23,998   33      $48,026      $97,032 GREED_TRANSITION
+ 29 2010-06-09 BUY_QQQ_STOPLOSS   QQQ      627 $  38.22 $      23,961   33      $24,065      $97,032 GREED_TRANSITION
+ 30 2010-06-09     BUY_GRADUAL  LULU     1227 $  19.55 $      23,988   33          $77      $97,032 GREED_TRANSITION
+ 31 2010-08-30       STOP_LOSS  LULU     1227 $  15.95 $      19,571   31      $19,648      $94,278 VOLATILE_STOCKS
+ 32 2010-08-30 BUY_QQQ_STOPLOSS   QQQ      512 $  38.18 $      19,548   31         $100      $94,278 VOLATILE_STOCKS
+ 33 2010-11-04    SELL_GRADUAL  SIRI      676 $  13.31 $       8,998   80       $9,097     $126,785  QQQ_TRANSITION
+ 34 2010-11-04    SELL_GRADUAL  NFLX      384 $  23.97 $       9,206   80      $18,303     $126,785  QQQ_TRANSITION
+ 35 2010-11-05    SELL_GRADUAL  SIRI      676 $  13.85 $       9,365   80      $27,668     $127,933  QQQ_TRANSITION
+ 36 2010-11-05    SELL_GRADUAL  NFLX      384 $  24.01 $       9,221   80      $36,890     $127,933  QQQ_TRANSITION
+ 37 2010-11-05     BUY_GRADUAL   QQQ      404 $  47.10 $      19,027   80      $17,862     $127,933  QQQ_TRANSITION
+ 38 2010-11-08    SELL_GRADUAL  SIRI      676 $  14.03 $       9,487   78      $27,349     $128,387  QQQ_TRANSITION
+ 39 2010-11-08    SELL_GRADUAL  NFLX      384 $  24.16 $       9,278   78      $36,627     $128,387  QQQ_TRANSITION
+ 40 2010-11-08     BUY_GRADUAL   QQQ      404 $  47.16 $      19,052   78      $17,575     $128,387  QQQ_TRANSITION
+ 41 2010-11-09    SELL_GRADUAL  SIRI      676 $  13.49 $       9,120   74      $26,695     $127,596  QQQ_TRANSITION
+ 42 2010-11-09    SELL_GRADUAL  NFLX      384 $  24.35 $       9,351   74      $36,046     $127,596  QQQ_TRANSITION
+ 43 2010-11-09     BUY_GRADUAL   QQQ      406 $  46.90 $      19,043   74      $17,003     $127,596  QQQ_TRANSITION
+ 44 2011-08-05    SELL_GRADUAL   QQQ      589 $  47.50 $      27,980   16      $44,983     $129,044 FEAR_TRANSITION
+ 45 2011-08-08    SELL_GRADUAL   QQQ      589 $  44.65 $      26,296   12      $71,279     $123,983 FEAR_TRANSITION
+ 46 2011-08-09    SELL_GRADUAL   QQQ      589 $  46.80 $      27,564   21      $98,843     $126,526 FEAR_TRANSITION
+ 47 2011-08-10    SELL_GRADUAL   QQQ      589 $  44.88 $      26,436   16     $125,280     $125,395 FEAR_TRANSITION
+ 48 2011-08-16     BUY_GRADUAL   AMD     4944 $   6.34 $      31,345   28      $93,935     $125,400 GREED_TRANSITION
+ 49 2011-08-17     BUY_GRADUAL  DXCM    11087 $   2.83 $      31,348   27      $62,586     $124,408 GREED_TRANSITION
+ 50 2011-08-18     BUY_GRADUAL  ILMN      684 $  45.82 $      31,339   21      $31,247     $121,090 GREED_TRANSITION
+ 51 2011-09-29       STOP_LOSS   AMD     4944 $   5.31 $      26,253   36      $57,500     $119,987 VOLATILE_STOCKS
+ 52 2011-09-29 BUY_QQQ_STOPLOSS   QQQ      551 $  47.64 $      26,248   36      $31,252     $119,987 VOLATILE_STOCKS
+ 53 2011-10-07       STOP_LOSS  ILMN      684 $  26.44 $      18,085   46      $49,337     $106,508 VOLATILE_STOCKS
+ 54 2011-10-07 BUY_QQQ_STOPLOSS   QQQ      378 $  47.80 $      18,070   46      $31,267     $106,508 VOLATILE_STOCKS
+ 55 2011-10-25       STOP_LOSS  NFLX        3 $  11.05 $          33   58      $31,300     $107,461 VOLATILE_STOCKS
+ 56 2011-11-03       STOP_LOSS  DXCM    11087 $   1.97 $      21,814   63      $53,114     $100,849 VOLATILE_STOCKS
+ 57 2011-11-03 BUY_QQQ_STOPLOSS   QQQ      424 $  51.37 $      21,780   63      $31,334     $100,849 VOLATILE_STOCKS
+ 58 2012-01-20     BUY_GRADUAL   QQQ      147 $  53.05 $       7,798   76      $23,536     $103,125  QQQ_TRANSITION
+ 59 2012-01-23     BUY_GRADUAL   QQQ      147 $  53.06 $       7,800   75      $15,735     $103,151  QQQ_TRANSITION
+ 60 2012-01-24     BUY_GRADUAL   QQQ      147 $  52.97 $       7,786   74       $7,949     $102,990  QQQ_TRANSITION
+ 61 2012-01-25     BUY_GRADUAL   QQQ      146 $  53.63 $       7,830   75         $119     $104,184  QQQ_TRANSITION
+ 62 2012-05-21    SELL_GRADUAL   QQQ      485 $  55.57 $      26,953   34      $27,072     $107,948 FEAR_TRANSITION
+ 63 2012-05-22    SELL_GRADUAL   QQQ      485 $  55.51 $      26,922   34      $53,994     $107,857 FEAR_TRANSITION
+ 64 2012-05-23    SELL_GRADUAL   QQQ      485 $  55.62 $      26,974   33      $80,968     $107,961 FEAR_TRANSITION
+ 65 2012-05-24    SELL_GRADUAL   QQQ      485 $  55.25 $      26,797   32     $107,766     $107,784 FEAR_TRANSITION
+ 66 2012-05-29     BUY_GRADUAL  VRTX      466 $  57.80 $      26,935   39      $80,831     $107,783 GREED_TRANSITION
+ 67 2012-05-30     BUY_GRADUAL  NXPI     1395 $  19.31 $      26,933   33      $53,898     $108,892 GREED_TRANSITION
+ 68 2012-05-31     BUY_GRADUAL  REGN      199 $ 135.28 $      26,920   34      $26,978     $108,301 GREED_TRANSITION
+ 69 2012-06-01     BUY_GRADUAL  MNST     2291 $  11.76 $      26,935   27          $44     $103,625 GREED_TRANSITION
+ 70 2012-06-13       STOP_LOSS  REGN      199 $ 111.57 $      22,203   44      $22,246     $101,613 VOLATILE_STOCKS
+ 71 2012-06-13 BUY_QQQ_STOPLOSS   QQQ      401 $  55.23 $      22,149   44          $97     $101,613 VOLATILE_STOCKS
+ 72 2012-07-24       STOP_LOSS  VRTX      466 $  48.37 $      22,540   51      $22,638      $98,436 VOLATILE_STOCKS
+ 73 2012-07-24 BUY_QQQ_STOPLOSS   QQQ      401 $  56.10 $      22,497   51         $141      $98,436 VOLATILE_STOCKS
+ 74 2012-08-10       STOP_LOSS  MNST     2291 $   9.05 $      20,722   62      $20,863      $99,014 VOLATILE_STOCKS
+ 75 2012-08-10 BUY_QQQ_STOPLOSS   QQQ      347 $  59.58 $      20,673   62         $190      $99,014 VOLATILE_STOCKS
+ 76 2013-01-24    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   75       $9,399     $105,958  QQQ_TRANSITION
+ 77 2013-01-24     BUY_GRADUAL   QQQ      154 $  59.90 $       9,224   75         $175     $105,958  QQQ_TRANSITION
+ 78 2013-01-25    SELL_GRADUAL  NXPI      348 $  26.98 $       9,390   77       $9,565     $106,902  QQQ_TRANSITION
+ 79 2013-01-25     BUY_GRADUAL   QQQ      154 $  60.20 $       9,272   77         $293     $106,902  QQQ_TRANSITION
+ 80 2013-01-28    SELL_GRADUAL  NXPI      348 $  27.35 $       9,518   76       $9,811     $107,355  QQQ_TRANSITION
+ 81 2013-01-28     BUY_GRADUAL   QQQ      153 $  60.34 $       9,232   76         $579     $107,355  QQQ_TRANSITION
+ 82 2013-01-29    SELL_GRADUAL  NXPI      348 $  26.46 $       9,209   77       $9,788     $107,058  QQQ_TRANSITION
+ 83 2013-01-29     BUY_GRADUAL   QQQ      153 $  60.35 $       9,233   77         $555     $107,058  QQQ_TRANSITION
+ 84 2015-08-25    SELL_GRADUAL   QQQ      440 $  90.96 $      40,021   19      $40,576     $161,163 FEAR_TRANSITION
+ 85 2015-08-26    SELL_GRADUAL   QQQ      440 $  95.54 $      42,037   30      $82,612     $167,235 FEAR_TRANSITION
+ 86 2015-08-27    SELL_GRADUAL   QQQ      440 $  97.96 $      43,101   37     $125,714     $169,377 FEAR_TRANSITION
+ 87 2015-08-28    SELL_GRADUAL   QQQ      440 $  97.94 $      43,093   37     $168,807     $169,370 FEAR_TRANSITION
+ 88 2015-09-01     BUY_GRADUAL  NFLX      399 $ 105.79 $      42,210   29     $126,597     $169,343 GREED_TRANSITION
+ 89 2015-09-02     BUY_GRADUAL  NVDA    78306 $   0.54 $      42,267   34      $84,330     $169,220 GREED_TRANSITION
+ 90 2015-09-03     BUY_GRADUAL    MU     2608 $  16.20 $      42,259   36      $42,071     $167,587 GREED_TRANSITION
+ 91 2015-09-28       STOP_LOSS    MU     2608 $  13.73 $      35,814   29      $77,885     $162,450 VOLATILE_STOCKS
+ 92 2015-09-28 BUY_QQQ_STOPLOSS   QQQ      385 $  92.94 $      35,784   29      $42,102     $162,450 VOLATILE_STOCKS
+ 93 2017-02-16    SELL_GRADUAL  NFLX       99 $ 142.01 $      14,059   74      $56,161     $353,212  QQQ_TRANSITION
+ 94 2017-02-16    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,711   74     $107,872     $353,212  QQQ_TRANSITION
+ 95 2017-02-16     BUY_GRADUAL   QQQ      634 $ 121.85 $      77,254   74      $30,618     $353,212  QQQ_TRANSITION
+ 96 2017-02-17    SELL_GRADUAL  NFLX       99 $ 142.22 $      14,080   74      $44,697     $353,786  QQQ_TRANSITION
+ 97 2017-02-17    SELL_GRADUAL  NVDA    19576 $   2.64 $      51,701   74      $96,399     $353,786  QQQ_TRANSITION
+ 98 2017-02-17     BUY_GRADUAL   QQQ      632 $ 122.38 $      77,344   74      $19,055     $353,786  QQQ_TRANSITION
+ 99 2017-02-21    SELL_GRADUAL  NFLX       99 $ 142.60 $      14,117   76      $33,172     $358,565  QQQ_TRANSITION
+100 2017-02-21    SELL_GRADUAL  NVDA    19576 $   2.74 $      53,553   76      $86,725     $358,565  QQQ_TRANSITION
+101 2017-02-21     BUY_GRADUAL   QQQ      628 $ 122.98 $      77,233   76       $9,492     $358,565  QQQ_TRANSITION
+102 2017-02-22    SELL_GRADUAL  NFLX       99 $ 143.86 $      14,242   75      $23,734     $358,720  QQQ_TRANSITION
+103 2017-02-22    SELL_GRADUAL  NVDA    19576 $   2.73 $      53,471   75      $77,204     $358,720  QQQ_TRANSITION
+104 2018-12-18    SELL_GRADUAL   QQQ      570 $ 151.55 $      86,385   24     $163,590     $424,134 FEAR_TRANSITION
+105 2018-12-19    SELL_GRADUAL   QQQ      570 $ 147.83 $      84,264   23     $247,854     $417,734 FEAR_TRANSITION
+106 2018-12-20    SELL_GRADUAL   QQQ      570 $ 145.69 $      83,043   22     $330,897     $415,268 FEAR_TRANSITION
+107 2018-12-21    SELL_GRADUAL   QQQ      570 $ 141.17 $      80,469   20     $411,366     $412,636 FEAR_TRANSITION
+108 2018-12-27     BUY_GRADUAL    ZS     2566 $  40.17 $     103,076   28     $308,289     $412,683 GREED_TRANSITION
+109 2018-12-28     BUY_GRADUAL   AMD     5785 $  17.82 $     103,089   26     $205,201     $411,733 GREED_TRANSITION
+110 2018-12-31     BUY_GRADUAL   MDB     1231 $  83.74 $     103,084   30     $102,117     $413,961 GREED_TRANSITION
+111 2019-04-24    SELL_GRADUAL    ZS      641 $  64.99 $      41,659   75     $143,775     $601,726  QQQ_TRANSITION
+112 2019-04-24    SELL_GRADUAL   AMD     1446 $  28.46 $      41,153   75     $184,928     $601,726  QQQ_TRANSITION
+113 2019-04-24    SELL_GRADUAL   MDB      307 $ 135.16 $      41,494   75     $226,423     $601,726  QQQ_TRANSITION
+114 2019-04-24     BUY_GRADUAL   QQQ      825 $ 182.34 $     150,428   75      $75,994     $601,726  QQQ_TRANSITION
+115 2019-04-25    SELL_GRADUAL    ZS      641 $  66.96 $      42,921   74     $118,916     $604,944  QQQ_TRANSITION
+116 2019-04-25    SELL_GRADUAL   AMD     1446 $  27.66 $      39,996   74     $158,912     $604,944  QQQ_TRANSITION
+117 2019-04-25    SELL_GRADUAL   MDB      307 $ 137.66 $      42,262   74     $201,174     $604,944  QQQ_TRANSITION
+118 2019-04-25     BUY_GRADUAL   QQQ      822 $ 183.08 $     150,490   74      $50,684     $604,944  QQQ_TRANSITION
+119 2019-04-26    SELL_GRADUAL    ZS      641 $  66.94 $      42,909   74      $93,592     $606,662  QQQ_TRANSITION
+120 2019-04-26    SELL_GRADUAL   AMD     1446 $  27.88 $      40,314   74     $133,907     $606,662  QQQ_TRANSITION
+121 2019-04-26    SELL_GRADUAL   MDB      307 $ 138.98 $      42,667   74     $176,574     $606,662  QQQ_TRANSITION
+122 2019-04-26     BUY_GRADUAL   QQQ      821 $ 183.24 $     150,441   74      $26,133     $606,662  QQQ_TRANSITION
+123 2019-04-29    SELL_GRADUAL    ZS      641 $  68.20 $      43,716   74      $69,849     $607,606  QQQ_TRANSITION
+124 2019-04-29    SELL_GRADUAL   AMD     1446 $  27.69 $      40,040   74     $109,889     $607,606  QQQ_TRANSITION
+125 2019-04-29    SELL_GRADUAL   MDB      307 $ 137.50 $      42,212   74     $152,101     $607,606  QQQ_TRANSITION
+126 2019-04-29     BUY_GRADUAL   QQQ      820 $ 183.60 $     150,549   74       $1,552     $607,606  QQQ_TRANSITION
+127 2020-02-28    SELL_GRADUAL   QQQ      822 $ 199.07 $     163,635   20     $165,188     $658,590 FEAR_TRANSITION
+128 2020-03-02    SELL_GRADUAL   QQQ      822 $ 209.34 $     172,080   37     $337,267     $684,012 FEAR_TRANSITION
+129 2020-03-03    SELL_GRADUAL   QQQ      822 $ 202.63 $     166,561   29     $503,829     $672,909 FEAR_TRANSITION
+130 2020-03-04    SELL_GRADUAL   QQQ      822 $ 211.08 $     173,511   38     $677,340     $679,956 FEAR_TRANSITION
+131 2020-03-06     BUY_GRADUAL  MRNA     5736 $  29.61 $     169,843   25     $507,497     $679,826 GREED_TRANSITION
+132 2020-03-09       STOP_LOSS  MRNA     5736 $  24.29 $     139,327   17     $646,824     $649,100 GREED_TRANSITION
+133 2020-03-09 BUY_QQQ_STOPLOSS   QQQ      744 $ 187.24 $     139,306   17     $507,518     $649,100 GREED_TRANSITION
+134 2020-03-09     BUY_GRADUAL  TSLA     4190 $  40.53 $     169,835   17     $337,683     $649,100 GREED_TRANSITION
+135 2020-03-10     BUY_GRADUAL  MRVL     7509 $  22.62 $     169,858   25     $167,825     $667,230 GREED_TRANSITION
+136 2020-03-12       STOP_LOSS  MRVL     7509 $  19.06 $     143,146   17     $310,971     $597,219 VOLATILE_STOCKS
+137 2020-03-12 BUY_QQQ_STOPLOSS   QQQ      834 $ 171.52 $     143,049   17     $167,922     $597,219 VOLATILE_STOCKS
+138 2020-03-16       STOP_LOSS  TSLA     4190 $  29.67 $     124,323   19     $292,245     $552,585 VOLATILE_STOCKS
+139 2020-03-16 BUY_QQQ_STOPLOSS   QQQ      759 $ 163.76 $     124,296   19     $167,949     $552,585 VOLATILE_STOCKS
+140 2020-06-03     BUY_GRADUAL   QQQ      185 $ 229.44 $      42,446   79     $125,503     $707,213  QQQ_TRANSITION
+141 2020-06-04     BUY_GRADUAL   QQQ      187 $ 227.83 $      42,604   79      $82,899     $703,082  QQQ_TRANSITION
+142 2020-06-05     BUY_GRADUAL   QQQ      183 $ 232.35 $      42,519   84      $40,380     $715,284  QQQ_TRANSITION
+143 2022-01-26    SELL_GRADUAL   QQQ      723 $ 336.81 $     243,517   24     $283,896   $1,018,473 FEAR_TRANSITION
+144 2022-01-27    SELL_GRADUAL   QQQ      723 $ 333.42 $     241,064   23     $524,961   $1,011,148 FEAR_TRANSITION
+145 2022-01-28    SELL_GRADUAL   QQQ      723 $ 343.88 $     248,626   32     $773,587   $1,026,391 FEAR_TRANSITION
+146 2022-01-31    SELL_GRADUAL   QQQ      723 $ 354.88 $     256,577   41   $1,030,164   $1,034,684 FEAR_TRANSITION
+147 2022-02-02     BUY_GRADUAL  NFLX      601 $ 429.48 $     258,117   47     $772,047   $1,034,708 GREED_TRANSITION
+148 2022-02-03     BUY_GRADUAL   PDD     4689 $  55.13 $     258,505   43     $513,542   $1,020,143 GREED_TRANSITION
+149 2022-02-04     BUY_GRADUAL   WBD     8945 $  28.90 $     258,510   46     $255,031   $1,026,385 GREED_TRANSITION
+150 2022-03-03       STOP_LOSS   PDD     4689 $  45.22 $     212,037   39     $467,068     $948,795 VOLATILE_STOCKS
+151 2022-03-03 BUY_QQQ_STOPLOSS   QQQ      633 $ 334.56 $     211,774   39     $255,294     $948,795 VOLATILE_STOCKS
+152 2022-03-11       STOP_LOSS   WBD     8945 $  23.99 $     214,591   31     $469,885     $878,854 VOLATILE_STOCKS
+153 2022-03-11 BUY_QQQ_STOPLOSS   QQQ      676 $ 317.10 $     214,358   31     $255,526     $878,854 VOLATILE_STOCKS
+154 2022-08-16    SELL_GRADUAL  NFLX      151 $ 245.69 $      37,099   76     $292,625     $833,290  QQQ_TRANSITION
+155 2022-08-16     BUY_GRADUAL   QQQ      313 $ 325.83 $     101,984   76     $190,641     $833,290  QQQ_TRANSITION
+156 2022-08-17    SELL_GRADUAL  NFLX      151 $ 241.15 $      36,414   72     $227,055     $825,132  QQQ_TRANSITION
+157 2022-08-17     BUY_GRADUAL   QQQ      316 $ 322.11 $     101,787   72     $125,268     $825,132  QQQ_TRANSITION
+158 2022-08-18    SELL_GRADUAL  NFLX      151 $ 245.17 $      37,021   73     $162,289     $827,836  QQQ_TRANSITION
+159 2022-08-18     BUY_GRADUAL   QQQ      316 $ 322.89 $     102,032   73      $60,257     $827,836  QQQ_TRANSITION
+160 2022-08-19    SELL_GRADUAL  NFLX      151 $ 241.16 $      36,415   68      $96,672     $812,946  QQQ_TRANSITION
+161 2022-09-26    SELL_GRADUAL   QQQ      564 $ 269.53 $     152,012   25     $248,684     $706,189 FEAR_TRANSITION
+162 2022-09-27    SELL_GRADUAL   QQQ      564 $ 269.63 $     152,073   26     $400,758     $706,398 FEAR_TRANSITION
+163 2022-09-28    SELL_GRADUAL   QQQ      564 $ 275.00 $     155,098   33     $555,856     $712,492 FEAR_TRANSITION
+164 2022-09-29    SELL_GRADUAL   QQQ      564 $ 267.07 $     150,627   29     $706,483     $707,973 FEAR_TRANSITION
+165 2022-10-03     BUY_GRADUAL  BIIB      669 $ 264.30 $     176,817   32     $529,667     $707,986 GREED_TRANSITION
+166 2022-10-04     BUY_GRADUAL  REGN      239 $ 737.50 $     176,263   42     $353,404     $710,159 GREED_TRANSITION
+167 2022-10-05     BUY_GRADUAL  NFLX      747 $ 236.73 $     176,837   42     $176,567     $707,777 GREED_TRANSITION
+168 2023-02-03    SELL_GRADUAL  BIIB      167 $ 283.63 $      47,366   72     $223,933     $827,955  QQQ_TRANSITION
+169 2023-02-03    SELL_GRADUAL  REGN       59 $ 780.97 $      46,077   72     $270,010     $827,955  QQQ_TRANSITION
+170 2023-02-03    SELL_GRADUAL  NFLX      186 $ 365.90 $      68,057   72     $338,067     $827,955  QQQ_TRANSITION
+171 2023-02-03     BUY_GRADUAL   QQQ      683 $ 301.49 $     205,920   72     $132,147     $827,955  QQQ_TRANSITION
+172 2023-02-06    SELL_GRADUAL  BIIB      167 $ 288.28 $      48,143   65     $180,290     $825,631  QQQ_TRANSITION
+173 2023-02-06    SELL_GRADUAL  REGN       59 $ 778.71 $      45,944   65     $226,234     $825,631  QQQ_TRANSITION
+174 2023-02-06    SELL_GRADUAL  NFLX      186 $ 361.48 $      67,235   65     $293,469     $825,631  QQQ_TRANSITION
+175 2023-02-06     BUY_GRADUAL   QQQ      688 $ 298.94 $     205,673   65      $87,796     $825,631  QQQ_TRANSITION
+176 2023-02-07    SELL_GRADUAL  BIIB      167 $ 291.43 $      48,669   70     $136,464     $834,461  QQQ_TRANSITION
+177 2023-02-07    SELL_GRADUAL  REGN       59 $ 767.82 $      45,301   70     $181,766     $834,461  QQQ_TRANSITION
+178 2023-02-07    SELL_GRADUAL  NFLX      186 $ 362.95 $      67,509   70     $249,274     $834,461  QQQ_TRANSITION
+179 2023-02-07     BUY_GRADUAL   QQQ      674 $ 305.14 $     205,663   70      $43,612     $834,461  QQQ_TRANSITION
+180 2023-02-08    SELL_GRADUAL  BIIB      167 $ 285.45 $      47,670   64      $91,282     $821,817  QQQ_TRANSITION
+181 2023-02-08    SELL_GRADUAL  REGN       59 $ 747.59 $      44,108   64     $135,390     $821,817  QQQ_TRANSITION
+182 2023-02-08    SELL_GRADUAL  NFLX      186 $ 366.83 $      68,230   64     $203,620     $821,817  QQQ_TRANSITION
+183 2023-11-09       STOP_LOSS  BIIB        1 $ 224.65 $         225   54     $203,845     $958,229        QQQ_HOLD
+184 2025-04-07    SELL_GRADUAL   QQQ      511 $ 423.21 $     216,263   24     $420,108   $1,075,227 FEAR_TRANSITION
+185 2025-04-08    SELL_GRADUAL   QQQ      511 $ 415.59 $     212,368   23     $632,476   $1,063,447 FEAR_TRANSITION
+186 2025-04-09    SELL_GRADUAL   QQQ      511 $ 465.48 $     237,859   39     $870,335   $1,115,043 FEAR_TRANSITION
+187 2025-04-10    SELL_GRADUAL   QQQ      511 $ 445.68 $     227,742   34   $1,098,077   $1,104,615 FEAR_TRANSITION
+188 2025-04-14     BUY_GRADUAL  MCHP     7155 $  38.58 $     276,050   37     $822,027   $1,104,757 GREED_TRANSITION
+189 2025-04-15     BUY_GRADUAL   WBD    33461 $   8.25 $     276,053   38     $545,974   $1,103,807 GREED_TRANSITION
+190 2025-04-16       STOP_LOSS   WBD    33461 $   7.92 $     265,011   32     $810,985   $1,087,112 GREED_TRANSITION
+191 2025-04-16 BUY_QQQ_STOPLOSS   QQQ      597 $ 443.68 $     264,878   32     $546,107   $1,087,112 GREED_TRANSITION
+192 2025-04-16     BUY_GRADUAL   AMD     3126 $  88.29 $     275,995   32     $270,112   $1,087,112 GREED_TRANSITION
+193 2025-05-20    SELL_GRADUAL   AMD      781 $ 113.51 $      88,651   76     $358,764   $1,374,923  QQQ_TRANSITION
+194 2025-05-20    SELL_GRADUAL  MCHP     1788 $  60.33 $     107,876   76     $466,639   $1,374,923  QQQ_TRANSITION
+195 2025-05-20     BUY_GRADUAL   QQQ      512 $ 519.69 $     266,079   76     $200,560   $1,374,923  QQQ_TRANSITION
+196 2025-05-21    SELL_GRADUAL   AMD      781 $ 112.06 $      87,519   69     $288,079   $1,355,190  QQQ_TRANSITION
+197 2025-05-21    SELL_GRADUAL  MCHP     1788 $  58.79 $     105,125   69     $393,204   $1,355,190  QQQ_TRANSITION
+198 2025-05-21     BUY_GRADUAL   QQQ      520 $ 512.46 $     266,481   69     $126,722   $1,355,190  QQQ_TRANSITION
+199 2025-05-22    SELL_GRADUAL   AMD      781 $ 110.71 $      86,465   67     $213,187   $1,351,925  QQQ_TRANSITION
+200 2025-05-22    SELL_GRADUAL  MCHP     1788 $  58.05 $     103,793   67     $316,980   $1,351,925  QQQ_TRANSITION
+201 2025-05-22     BUY_GRADUAL   QQQ      519 $ 513.42 $     266,467   67      $50,514   $1,351,925  QQQ_TRANSITION
+202 2025-05-23    SELL_GRADUAL   AMD      781 $ 110.31 $      86,152   62     $136,666   $1,338,007  QQQ_TRANSITION
+203 2025-05-23    SELL_GRADUAL  MCHP     1788 $  56.19 $     100,468   62     $237,133   $1,338,007  QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_182730.csv

@@ -0,0 +1,217 @@
+date,action,ticker,shares,price,value,fg_index,cash_after,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,25208.408485412598,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,50438.458599090576,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,75174.30255508423,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,100341.26286697388,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,75284.4793624878,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,50221.41002655029,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,25136.761101722717,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,51.691829681396484,GREED_TRANSITION
+2008-03-10,STOP_LOSS,DXCM,11274,1.5125000476837158,17051.925537586212,26.88111930216064,17103.61736726761,VOLATILE_STOCKS
+2008-03-10,BUY_QQQ_STOPLOSS,QQQ,478,35.61878204345703,17025.77781677246,26.88111930216064,77.8395504951477,VOLATILE_STOCKS
+2008-10-06,STOP_LOSS,SBUX,3549,4.91026496887207,17426.530374526978,20.69295843152461,17504.369925022125,VOLATILE_STOCKS
+2008-10-06,BUY_QQQ_STOPLOSS,QQQ,577,30.158662796020508,17401.548433303833,20.69295843152461,102.82149171829224,VOLATILE_STOCKS
+2008-10-23,STOP_LOSS,ILMN,745,22.69455337524414,16907.442264556885,28.639221783063807,17010.263756275177,VOLATILE_STOCKS
+2008-10-23,BUY_QQQ_STOPLOSS,QQQ,640,26.378019332885742,16881.932373046875,28.639221783063807,128.331383228302,VOLATILE_STOCKS
+2008-10-24,STOP_LOSS,TMUS,852,20.552974700927734,17511.13444519043,26.196726523160056,17639.46582841873,VOLATILE_STOCKS
+2008-10-24,BUY_QQQ_STOPLOSS,QQQ,685,25.53017234802246,17488.168058395386,26.196726523160056,151.29777002334595,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,120.90652894973755,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,90.50659990310669,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,60.818302631378174,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,31.11265230178833,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,596,40.003875732421875,23842.309936523438,33.580788922696,23873.422588825226,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,596,39.7684211730957,23701.97901916504,33.34027831701036,47575.401607990265,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,596,39.40214920043945,23483.680923461914,27.283331291968164,71059.08253145218,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,596,40.335304260253906,24039.841339111328,37.67628312195878,95098.9238705635,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2679,8.87330436706543,23771.582399368286,36.8189871507287,71327.34147119522,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1524,15.59428596496582,23765.69181060791,35.18107991239285,47561.64966058731,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1776,13.38446044921875,23770.8017578125,33.88560765938214,23790.84790277481,GREED_TRANSITION
+2010-06-09,BUY_GRADUAL,LULU,1216,19.549999237060547,23772.799072265625,33.40896140370173,18.04883050918579,GREED_TRANSITION
+2010-11-04,SELL_GRADUAL,SIRI,669,13.309956550598145,8904.360932350159,79.52490444098007,8922.409762859344,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,NFLX,381,23.974285125732422,9134.202632904053,79.52490444098007,18056.612395763397,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,TMUS,444,18.357215881347656,8150.603851318359,79.52490444098007,26207.216247081757,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,LULU,304,22.5,6840.0,79.52490444098007,33047.21624708176,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,SIRI,669,13.85322093963623,9267.804808616638,80.12015594534758,42315.021055698395,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,NFLX,381,24.014286041259766,9149.44298171997,80.12015594534758,51464.464037418365,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,TMUS,444,18.922300338745117,8401.501350402832,80.12015594534758,59865.9653878212,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,LULU,304,24.045000076293945,7309.680023193359,80.12015594534758,67175.64541101456,QQQ_TRANSITION
+2010-11-05,BUY_GRADUAL,QQQ,709,47.09733963012695,33392.01379776001,80.12015594534758,33783.63161325455,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,SIRI,669,14.034306526184082,9388.95106601715,78.02954261077275,43172.5826792717,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,NFLX,381,24.161428451538086,9205.50424003601,78.02954261077275,52378.08691930771,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,TMUS,444,19.713420867919922,8752.758865356445,78.02954261077275,61130.845784664154,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,LULU,304,24.774999618530273,7531.599884033203,78.02954261077275,68662.44566869736,QQQ_TRANSITION
+2010-11-08,BUY_GRADUAL,QQQ,708,47.158782958984375,33388.41833496094,78.02954261077275,35274.02733373642,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,SIRI,669,13.491044044494629,9025.508465766907,74.24305370136257,44299.53579950333,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,NFLX,381,24.351428985595703,9277.894443511963,74.24305370136257,53577.43024301529,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,TMUS,444,19.342077255249023,8587.882301330566,74.24305370136257,62165.312544345856,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,LULU,304,24.09000015258789,7323.360046386719,74.24305370136257,69488.67259073257,QQQ_TRANSITION
+2010-11-09,BUY_GRADUAL,QQQ,712,46.904296875,33395.859375,74.24305370136257,36092.813215732574,QQQ_TRANSITION
+2011-08-05,SELL_GRADUAL,QQQ,532,47.504486083984375,25272.386596679688,16.014420438739027,61365.19981241226,FEAR_TRANSITION
+2011-08-08,SELL_GRADUAL,QQQ,532,44.64522171020508,23751.2579498291,12.102638620949758,85116.45776224136,FEAR_TRANSITION
+2011-08-09,SELL_GRADUAL,QQQ,532,46.798492431640625,24896.797973632812,21.243367458738685,110013.25573587418,FEAR_TRANSITION
+2011-08-10,SELL_GRADUAL,QQQ,532,44.88348388671875,23878.013427734375,16.34997696820296,133891.26916360855,FEAR_TRANSITION
+2011-08-16,BUY_GRADUAL,AMD,5281,6.340000152587891,33481.54080581665,27.713133229401997,100409.7283577919,GREED_TRANSITION
+2011-08-17,BUY_GRADUAL,DXCM,11842,2.827500104904175,33483.25624227524,27.444352198857068,66926.47211551666,GREED_TRANSITION
+2011-08-18,BUY_GRADUAL,ILMN,730,45.81711959838867,33446.49730682373,21.352782610275447,33479.97480869293,GREED_TRANSITION
+2011-10-07,STOP_LOSS,ILMN,730,26.43968963623047,19300.973434448242,45.948970380647914,52780.948243141174,VOLATILE_STOCKS
+2011-10-07,BUY_QQQ_STOPLOSS,QQQ,403,47.80477523803711,19265.324420928955,45.948970380647914,33515.62382221222,VOLATILE_STOCKS
+2011-11-10,STOP_LOSS,DXCM,11842,1.7699999809265137,20960.339774131775,51.55040467666299,54475.963596343994,VOLATILE_STOCKS
+2011-11-10,BUY_QQQ_STOPLOSS,QQQ,417,50.20075988769531,20933.716873168945,51.55040467666299,33542.24672317505,VOLATILE_STOCKS
+2012-01-20,SELL_GRADUAL,AMD,1320,6.420000076293945,8474.400100708008,76.11690483789968,42016.64682388306,QQQ_TRANSITION
+2012-01-20,BUY_GRADUAL,QQQ,313,53.046531677246094,16603.564414978027,76.11690483789968,25413.08240890503,QQQ_TRANSITION
+2012-01-23,SELL_GRADUAL,AMD,1320,6.519999980926514,8606.399974822998,75.47387743828742,34019.48238372803,QQQ_TRANSITION
+2012-01-23,BUY_GRADUAL,QQQ,313,53.06429672241211,16609.12487411499,75.47387743828742,17410.357509613037,QQQ_TRANSITION
+2012-01-24,SELL_GRADUAL,AMD,1320,6.53000020980835,8619.600276947021,73.6603345892624,26029.95778656006,QQQ_TRANSITION
+2012-01-24,BUY_GRADUAL,QQQ,313,52.966651916503906,16578.562049865723,73.6603345892624,9451.395736694336,QQQ_TRANSITION
+2012-01-25,SELL_GRADUAL,AMD,1320,6.730000019073486,8883.600025177002,74.7347021654166,18334.995761871338,QQQ_TRANSITION
+2012-01-25,BUY_GRADUAL,QQQ,309,53.63228988647461,16572.377574920654,74.7347021654166,1762.6181869506836,QQQ_TRANSITION
+2012-05-21,SELL_GRADUAL,QQQ,517,55.57248306274414,28730.97374343872,33.89789007404509,30493.591930389404,FEAR_TRANSITION
+2012-05-22,SELL_GRADUAL,QQQ,517,55.51026153564453,28698.805213928223,34.48360680185137,59192.39714431763,FEAR_TRANSITION
+2012-05-23,SELL_GRADUAL,QQQ,517,55.616939544677734,28753.95774459839,33.07033492791181,87946.35488891602,FEAR_TRANSITION
+2012-05-24,SELL_GRADUAL,QQQ,517,55.252464294433594,28565.524040222168,32.19709993260843,116511.87892913818,FEAR_TRANSITION
+2012-05-29,BUY_GRADUAL,VRTX,504,57.79999923706055,29131.199615478516,39.29817121538365,87380.67931365967,GREED_TRANSITION
+2012-05-30,BUY_GRADUAL,NXPI,1509,19.306720733642578,29133.84158706665,32.69376088195683,58246.83772659302,GREED_TRANSITION
+2012-05-31,BUY_GRADUAL,REGN,215,135.27606201171875,29084.35333251953,34.05046977820416,29162.484394073486,GREED_TRANSITION
+2012-06-01,BUY_GRADUAL,MNST,2478,11.756667137145996,29133.02116584778,27.26748930164401,29.463228225708008,GREED_TRANSITION
+2012-07-20,STOP_LOSS,AMD,1,4.21999979019165,4.21999979019165,55.39674097276638,33.68322801589966,VOLATILE_STOCKS
+2012-10-22,STOP_LOSS,MNST,2478,7.62166690826416,18886.49059867859,47.57872339379883,18920.17382669449,VOLATILE_STOCKS
+2012-10-22,BUY_QQQ_STOPLOSS,QQQ,320,58.99560546875,18878.59375,47.57872339379883,41.580076694488525,VOLATILE_STOCKS
+2012-11-27,STOP_LOSS,VRTX,504,39.97999954223633,20149.91976928711,49.092795869626194,20191.499845981598,VOLATILE_STOCKS
+2012-11-27,BUY_QQQ_STOPLOSS,QQQ,347,58.04839324951172,20142.792457580566,49.092795869626194,48.707388401031494,VOLATILE_STOCKS
+2013-01-24,SELL_GRADUAL,NXPI,377,26.462675094604492,9976.428510665894,75.13424844525217,10025.135899066925,QQQ_TRANSITION
+2013-01-24,SELL_GRADUAL,REGN,53,172.66270446777344,9151.123336791992,75.13424844525217,19176.259235858917,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,NXPI,377,26.98277473449707,10172.506074905396,76.59616542938397,29348.765310764313,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,REGN,53,173.9990234375,9221.9482421875,76.59616542938397,38570.71355295181,QQQ_TRANSITION
+2013-01-25,BUY_GRADUAL,QQQ,323,60.20482635498047,19446.15891265869,76.59616542938397,19124.55464029312,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,NXPI,377,27.350439071655273,10311.115530014038,75.72095442961731,29435.67017030716,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,REGN,53,170.4288787841797,9032.730575561523,75.72095442961731,38468.40074586868,QQQ_TRANSITION
+2013-01-28,BUY_GRADUAL,QQQ,322,60.33960723876953,19429.35353088379,75.72095442961731,19039.047214984894,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,NXPI,377,26.462675094604492,9976.428510665894,76.8305936279351,29015.475725650787,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,REGN,53,174.47769165039062,9247.317657470703,76.8305936279351,38262.79338312149,QQQ_TRANSITION
+2013-01-29,BUY_GRADUAL,QQQ,322,60.34858703613281,19432.245025634766,76.8305936279351,18830.548357486725,QQQ_TRANSITION
+2015-08-25,SELL_GRADUAL,QQQ,409,90.95682525634766,37201.34152984619,18.64332792812587,56031.889887332916,FEAR_TRANSITION
+2015-08-26,SELL_GRADUAL,QQQ,409,95.53759002685547,39074.87432098389,30.238674126890754,95106.7642083168,FEAR_TRANSITION
+2015-08-27,SELL_GRADUAL,QQQ,409,97.9577865600586,40064.734703063965,36.72325111888732,135171.49891138077,FEAR_TRANSITION
+2015-08-28,SELL_GRADUAL,QQQ,409,97.93927001953125,40057.16143798828,36.806462475332836,175228.66034936905,FEAR_TRANSITION
+2015-09-01,BUY_GRADUAL,NFLX,418,105.79000091552734,44220.22038269043,29.162017163513145,131008.43996667862,GREED_TRANSITION
+2015-09-02,BUY_GRADUAL,NVDA,81954,0.5397700667381287,44236.3160494566,33.786594185558485,86772.12391722202,GREED_TRANSITION
+2015-09-03,BUY_GRADUAL,MU,2730,16.203489303588867,44235.52579879761,35.8957291289263,42536.598118424416,GREED_TRANSITION
+2016-01-15,STOP_LOSS,MU,2730,10.821861267089844,29543.681259155273,23.244721645233323,72080.27937757969,VOLATILE_STOCKS
+2016-01-15,BUY_QQQ_STOPLOSS,QQQ,314,94.02062225341797,29522.475387573242,23.244721645233323,42557.80399000645,VOLATILE_STOCKS
+2017-02-16,SELL_GRADUAL,NFLX,104,142.00999450683594,14769.039428710938,74.18422120605587,57326.843418717384,QQQ_TRANSITION
+2017-02-16,SELL_GRADUAL,NVDA,20488,2.6415488719940186,54120.05328941345,74.18422120605587,111446.89670813084,QQQ_TRANSITION
+2017-02-16,BUY_GRADUAL,QQQ,663,121.85171508789062,80787.68710327148,74.18422120605587,30659.209604859352,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NFLX,104,142.22000122070312,14790.880126953125,73.85576423075787,45450.08973181248,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NVDA,20488,2.641056776046753,54109.971227645874,73.85576423075787,99560.06095945835,QQQ_TRANSITION
+2017-02-17,BUY_GRADUAL,QQQ,660,122.37963104248047,80770.55648803711,73.85576423075787,18789.50447142124,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NFLX,104,142.60000610351562,14830.400634765625,76.26775225821572,33619.90510618687,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NVDA,20488,2.73563551902771,56047.70051383972,76.26775225821572,89667.60562002659,QQQ_TRANSITION
+2017-02-21,BUY_GRADUAL,QQQ,657,122.98302459716797,80799.84716033936,76.26775225821572,8867.758459687233,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NFLX,104,143.86000061035156,14961.440063476562,74.96778290840957,23829.198523163795,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NVDA,20488,2.7314422130584717,55961.78806114197,74.96778290840957,79790.98658430576,QQQ_TRANSITION
+2018-12-18,SELL_GRADUAL,QQQ,573,151.55323791503906,86840.00532531738,24.442533177764215,166630.99190962315,FEAR_TRANSITION
+2018-12-19,SELL_GRADUAL,QQQ,573,147.8318328857422,84707.64024353027,22.796729661345402,251338.63215315342,FEAR_TRANSITION
+2018-12-20,SELL_GRADUAL,QQQ,573,145.68890380859375,83479.74188232422,22.299659882587015,334818.37403547764,FEAR_TRANSITION
+2018-12-21,SELL_GRADUAL,QQQ,573,141.17352294921875,80892.42864990234,19.58576040567819,415710.80268538,FEAR_TRANSITION
+2018-12-27,BUY_GRADUAL,ZS,2598,40.16999816894531,104361.65524291992,27.938844950891582,311349.14744246006,GREED_TRANSITION
+2018-12-28,BUY_GRADUAL,AMD,5857,17.81999969482422,104371.73821258545,26.23355835507341,206977.4092298746,GREED_TRANSITION
+2018-12-31,BUY_GRADUAL,MDB,1246,83.73999786376953,104340.03733825684,30.089955926210273,102637.37189161777,GREED_TRANSITION
+2019-04-24,SELL_GRADUAL,ZS,649,64.98999786376953,42178.508613586426,74.73809260902496,144815.8805052042,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1464,28.459999084472656,41665.43865966797,74.73809260902496,186481.31916487217,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,MDB,311,135.16000366210938,42034.761138916016,74.73809260902496,228516.08030378819,QQQ_TRANSITION
+2019-04-24,BUY_GRADUAL,QQQ,835,182.33738708496094,152251.71821594238,74.73809260902496,76264.3620878458,QQQ_TRANSITION
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+2019-04-29,BUY_GRADUAL,QQQ,830,183.5964813232422,152385.07949829102,74.33985266042214,1094.7812391519547,QQQ_TRANSITION
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+2020-03-18,STOP_LOSS,TSLA,4243,24.08133316040039,102177.09659957886,21.996186861615104,271286.2159887552,VOLATILE_STOCKS
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+2020-06-03,SELL_GRADUAL,MRNA,1452,59.88999938964844,86960.27911376953,78.64383713986213,256093.27467405796,QQQ_TRANSITION
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+2020-06-08,SELL_GRADUAL,MRVL,1901,34.15713882446289,64932.720905303955,83.25340152682092,196562.8556905985,QQQ_TRANSITION
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+2022-03-10,STOP_LOSS,PDD,6184,35.7599983215332,221139.82962036133,34.075838839921104,557628.5761877298,VOLATILE_STOCKS
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+2023-02-08,SELL_GRADUAL,BIIB,202,285.45001220703125,57660.90246582031,64.43188468733032,250311.3400503397,QQQ_TRANSITION
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+2024-10-03,STOP_LOSS,BIIB,1,184.77999877929688,184.77999877929688,61.80497845428075,1735.4593435525894,QQQ_HOLD
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+2025-04-16,BUY_GRADUAL,AMD,4101,88.29000091552734,362077.29375457764,32.4554396374009,359365.27340757847,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,1025,113.51000213623047,116347.75218963623,75.62799649436673,475713.0255972147,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,2346,60.33309555053711,141541.44216156006,75.62799649436673,617254.4677587748,QQQ_TRANSITION
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+2025-05-21,SELL_GRADUAL,AMD,1025,112.05999755859375,114861.4974975586,68.96239147283873,382886.74455320835,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,2346,58.79499816894531,137933.0657043457,68.96239147283873,520819.81025755405,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,682,512.4644165039062,349500.73205566406,68.96239147283873,171319.07820189,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,1025,110.70999908447266,113477.74906158447,66.69973135428862,284796.82726347446,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,2346,58.04999923706055,136185.29821014404,66.69973135428862,420982.1254736185,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,680,513.4234008789062,349127.91259765625,66.69973135428862,71854.21287596226,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,1025,110.30999755859375,113067.7474975586,62.342179974993726,184921.96037352085,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,2346,56.189998626708984,131821.73677825928,62.342179974993726,316743.6971517801,QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_183737.csv

@@ -0,0 +1,217 @@
+date,action,ticker,shares,price,value,fg_index,cash_after,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,25208.408485412598,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,50438.458599090576,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,75174.30255508423,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,100341.26286697388,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,75284.4793624878,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,50221.41002655029,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,25136.761101722717,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,51.691829681396484,GREED_TRANSITION
+2008-03-10,STOP_LOSS,DXCM,11274,1.5125000476837158,17051.925537586212,26.88111930216064,17103.61736726761,VOLATILE_STOCKS
+2008-03-10,BUY_QQQ_STOPLOSS,QQQ,478,35.61878204345703,17025.77781677246,26.88111930216064,77.8395504951477,VOLATILE_STOCKS
+2008-10-06,STOP_LOSS,SBUX,3549,4.91026496887207,17426.530374526978,20.69295843152461,17504.369925022125,VOLATILE_STOCKS
+2008-10-06,BUY_QQQ_STOPLOSS,QQQ,577,30.158662796020508,17401.548433303833,20.69295843152461,102.82149171829224,VOLATILE_STOCKS
+2008-10-23,STOP_LOSS,ILMN,745,22.69455337524414,16907.442264556885,28.639221783063807,17010.263756275177,VOLATILE_STOCKS
+2008-10-23,BUY_QQQ_STOPLOSS,QQQ,640,26.378019332885742,16881.932373046875,28.639221783063807,128.331383228302,VOLATILE_STOCKS
+2008-10-24,STOP_LOSS,TMUS,852,20.552974700927734,17511.13444519043,26.196726523160056,17639.46582841873,VOLATILE_STOCKS
+2008-10-24,BUY_QQQ_STOPLOSS,QQQ,685,25.53017234802246,17488.168058395386,26.196726523160056,151.29777002334595,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,120.90652894973755,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,90.50659990310669,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,60.818302631378174,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,31.11265230178833,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,596,40.003875732421875,23842.309936523438,33.580788922696,23873.422588825226,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,596,39.7684211730957,23701.97901916504,33.34027831701036,47575.401607990265,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,596,39.40214920043945,23483.680923461914,27.283331291968164,71059.08253145218,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,596,40.335304260253906,24039.841339111328,37.67628312195878,95098.9238705635,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2679,8.87330436706543,23771.582399368286,36.8189871507287,71327.34147119522,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1524,15.59428596496582,23765.69181060791,35.18107991239285,47561.64966058731,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1776,13.38446044921875,23770.8017578125,33.88560765938214,23790.84790277481,GREED_TRANSITION
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+2019-04-24,SELL_GRADUAL,ZS,649,64.98999786376953,42178.508613586426,74.73809260902496,144815.8805052042,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1464,28.459999084472656,41665.43865966797,74.73809260902496,186481.31916487217,QQQ_TRANSITION
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+2019-04-25,SELL_GRADUAL,ZS,649,66.95999908447266,43457.039405822754,74.47201415715975,119721.40149366856,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,AMD,1464,27.65999984741211,40494.23977661133,74.47201415715975,160215.64127027988,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,MDB,311,137.66000366210938,42812.261138916016,74.47201415715975,203027.9024091959,QQQ_TRANSITION
+2019-04-25,BUY_GRADUAL,QQQ,832,183.07749938964844,152320.4794921875,74.47201415715975,50707.4229170084,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,ZS,649,66.94000244140625,43444.061584472656,74.04664446450204,94151.48450148106,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,AMD,1464,27.8799991607666,40816.318771362305,74.04664446450204,134967.80327284336,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,MDB,311,138.97999572753906,43222.77867126465,74.04664446450204,178190.581944108,QQQ_TRANSITION
+2019-04-26,BUY_GRADUAL,QQQ,831,183.2408905029297,152273.18000793457,74.04664446450204,25917.40193617344,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,ZS,649,68.19999694824219,44261.79801940918,74.33985266042214,70179.19995558262,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,AMD,1464,27.690000534057617,40538.16078186035,74.33985266042214,110717.36073744297,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,MDB,311,137.5,42762.5,74.33985266042214,153479.86073744297,QQQ_TRANSITION
+2019-04-29,BUY_GRADUAL,QQQ,830,183.5964813232422,152385.07949829102,74.33985266042214,1094.7812391519547,QQQ_TRANSITION
+2020-02-28,SELL_GRADUAL,QQQ,832,199.0699005126953,165626.1572265625,20.377945426333802,166720.93846571445,FEAR_TRANSITION
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+2020-06-05,SELL_GRADUAL,MRVL,1901,35.0758056640625,66679.10656738281,83.9440139783205,240057.88103163242,QQQ_TRANSITION
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+2020-06-08,BUY_GRADUAL,QQQ,830,234.14869689941406,194343.41842651367,83.25340152682092,2219.437264084816,QQQ_TRANSITION
+2022-01-26,SELL_GRADUAL,QQQ,991,336.8142395019531,333782.91134643555,24.061477932967016,336002.34861052036,FEAR_TRANSITION
+2022-01-27,SELL_GRADUAL,QQQ,991,333.4222717285156,330421.471282959,23.19312861351907,666423.8198934793,FEAR_TRANSITION
+2022-01-28,SELL_GRADUAL,QQQ,991,343.8814697265625,340786.53649902344,32.47130624150118,1007210.3563925028,FEAR_TRANSITION
+2022-01-31,SELL_GRADUAL,QQQ,991,354.8782653808594,351684.36099243164,40.745889513626054,1358894.7173849344,FEAR_TRANSITION
+2022-02-02,BUY_GRADUAL,NFLX,793,429.4800109863281,340577.6487121582,46.50000935058783,1018317.0686727762,GREED_TRANSITION
+2022-02-03,BUY_GRADUAL,PDD,6184,55.130001068115234,340923.9266052246,42.57397684804427,677393.1420675516,GREED_TRANSITION
+2022-02-04,BUY_GRADUAL,WBD,11796,28.899999618530273,340904.3955001831,45.75812386485002,336488.7465673685,GREED_TRANSITION
+2022-03-10,STOP_LOSS,PDD,6184,35.7599983215332,221139.82962036133,34.075838839921104,557628.5761877298,VOLATILE_STOCKS
+2022-03-10,BUY_QQQ_STOPLOSS,QQQ,682,323.8135986328125,220840.87426757812,34.075838839921104,336787.7019201517,VOLATILE_STOCKS
+2022-04-26,STOP_LOSS,WBD,11796,19.829999923706055,233914.67910003662,29.605935383730476,570702.3810201883,VOLATILE_STOCKS
+2022-04-26,BUY_QQQ_STOPLOSS,QQQ,753,310.3849182128906,233719.84341430664,29.605935383730476,336982.5376058817,VOLATILE_STOCKS
+2022-08-16,SELL_GRADUAL,NFLX,198,245.69000244140625,48646.62048339844,75.89323394690028,385629.1580892801,QQQ_TRANSITION
+2022-08-16,BUY_GRADUAL,QQQ,413,325.8274841308594,134566.75094604492,75.89323394690028,251062.4071432352,QQQ_TRANSITION
+2022-08-17,SELL_GRADUAL,NFLX,198,241.14999389648438,47747.698791503906,71.95888891502631,298810.1059347391,QQQ_TRANSITION
+2022-08-17,BUY_GRADUAL,QQQ,418,322.1111145019531,134642.4458618164,71.95888891502631,164167.6600729227,QQQ_TRANSITION
+2022-08-18,SELL_GRADUAL,NFLX,198,245.1699981689453,48543.65963745117,72.7643774387154,212711.31971037388,QQQ_TRANSITION
+2022-08-18,BUY_GRADUAL,QQQ,417,322.8857727050781,134643.36721801758,72.7643774387154,78067.9524923563,QQQ_TRANSITION
+2022-08-19,SELL_GRADUAL,NFLX,198,241.16000366210938,47749.680725097656,68.48379396098062,125817.63321745396,QQQ_TRANSITION
+2022-09-26,SELL_GRADUAL,QQQ,671,269.52557373046875,180851.65997314453,25.412070998468074,306669.2931905985,FEAR_TRANSITION
+2022-09-27,SELL_GRADUAL,QQQ,671,269.6336364746094,180924.1700744629,26.22711815731541,487593.4632650614,FEAR_TRANSITION
+2022-09-28,SELL_GRADUAL,QQQ,671,274.9972229003906,184523.1365661621,33.21082990012799,672116.5998312235,FEAR_TRANSITION
+2022-09-29,SELL_GRADUAL,QQQ,671,267.0697021484375,179203.77014160156,29.27070352396588,851320.369972825,FEAR_TRANSITION
+2022-10-03,BUY_GRADUAL,BIIB,809,264.29998779296875,213818.69012451172,32.38063116058547,637501.6798483133,GREED_TRANSITION
+2022-10-04,BUY_GRADUAL,REGN,289,737.5012817382812,213137.87042236328,42.2918131346582,424363.80942595005,GREED_TRANSITION
+2022-10-05,BUY_GRADUAL,NFLX,903,236.72999572753906,213767.18614196777,41.52977712655799,210596.62328398228,GREED_TRANSITION
+2023-02-03,SELL_GRADUAL,REGN,73,780.97119140625,57010.89697265625,72.23030348546578,267607.5202566385,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,NFLX,226,365.8999938964844,82693.39862060547,72.23030348546578,350300.918877244,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,BIIB,202,283.6300048828125,57293.260986328125,72.23030348546578,407594.1798635721,QQQ_TRANSITION
+2023-02-03,BUY_GRADUAL,QQQ,825,301.49395751953125,248732.51495361328,72.23030348546578,158861.66490995884,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,REGN,73,778.7074584960938,56845.644470214844,65.34324140803145,215707.30938017368,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,NFLX,226,361.4800109863281,81694.48248291016,65.34324140803145,297401.79186308384,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,BIIB,202,288.2799987792969,58232.55975341797,65.34324140803145,355634.3516165018,QQQ_TRANSITION
+2023-02-06,BUY_GRADUAL,QQQ,832,298.9436340332031,248721.103515625,65.34324140803145,106913.24810087681,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,REGN,73,767.8175048828125,56050.67785644531,70.27852780807376,162963.92595732212,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,NFLX,226,362.95001220703125,82026.70275878906,70.27852780807376,244990.62871611118,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,BIIB,202,291.42999267578125,58868.85852050781,70.27852780807376,303859.487236619,QQQ_TRANSITION
+2023-02-07,BUY_GRADUAL,QQQ,815,305.1373596191406,248686.9480895996,70.27852780807376,55172.539147019386,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,REGN,73,747.5934448242188,54574.32147216797,64.43188468733032,109746.86061918736,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,NFLX,226,366.8299865722656,82903.57696533203,64.43188468733032,192650.4375845194,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,BIIB,202,285.45001220703125,57660.90246582031,64.43188468733032,250311.3400503397,QQQ_TRANSITION
+2023-02-08,BUY_GRADUAL,QQQ,830,299.7116394042969,248760.6607055664,64.43188468733032,1550.6793447732925,QQQ_TRANSITION
+2024-10-03,STOP_LOSS,BIIB,1,184.77999877929688,184.77999877929688,61.80497845428075,1735.4593435525894,QQQ_HOLD
+2025-04-07,SELL_GRADUAL,QQQ,825,423.2146911621094,349152.12020874023,24.106379703967942,350887.5795522928,FEAR_TRANSITION
+2025-04-08,SELL_GRADUAL,QQQ,825,415.59326171875,342864.44091796875,23.47897409359107,693752.0204702616,FEAR_TRANSITION
+2025-04-09,SELL_GRADUAL,QQQ,825,465.47723388671875,384018.71795654297,39.00858627592589,1077770.7384268045,FEAR_TRANSITION
+2025-04-10,SELL_GRADUAL,QQQ,825,445.6794738769531,367685.5659484863,33.96020602504672,1445456.3043752909,FEAR_TRANSITION
+2025-04-14,BUY_GRADUAL,MCHP,9386,38.58142852783203,362125.28816223145,37.444908145843534,1083331.0162130594,GREED_TRANSITION
+2025-04-15,BUY_GRADUAL,WBD,43896,8.25,362142.0,37.75161834264942,721189.0162130594,GREED_TRANSITION
+2025-04-16,STOP_LOSS,WBD,43896,7.920000076293945,347656.323348999,32.4554396374009,1068845.3395620584,GREED_TRANSITION
+2025-04-16,BUY_QQQ_STOPLOSS,QQQ,783,443.68170166015625,347402.77239990234,32.4554396374009,721442.5671621561,GREED_TRANSITION
+2025-04-16,BUY_GRADUAL,AMD,4101,88.29000091552734,362077.29375457764,32.4554396374009,359365.27340757847,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,1025,113.51000213623047,116347.75218963623,75.62799649436673,475713.0255972147,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,2346,60.33309555053711,141541.44216156006,75.62799649436673,617254.4677587748,QQQ_TRANSITION
+2025-05-20,BUY_GRADUAL,QQQ,672,519.6863403320312,349229.220703125,75.62799649436673,268025.24705564976,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,AMD,1025,112.05999755859375,114861.4974975586,68.96239147283873,382886.74455320835,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,2346,58.79499816894531,137933.0657043457,68.96239147283873,520819.81025755405,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,682,512.4644165039062,349500.73205566406,68.96239147283873,171319.07820189,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,1025,110.70999908447266,113477.74906158447,66.69973135428862,284796.82726347446,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,2346,58.04999923706055,136185.29821014404,66.69973135428862,420982.1254736185,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,680,513.4234008789062,349127.91259765625,66.69973135428862,71854.21287596226,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,1025,110.30999755859375,113067.7474975586,62.342179974993726,184921.96037352085,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,2346,56.189998626708984,131821.73677825928,62.342179974993726,316743.6971517801,QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_185722.csv

@@ -0,0 +1,204 @@
+date,action,ticker,shares,price,value,fg_index,cnn_fear_greed,cash_after,total_assets,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,26.344740247547747,25208.408485412598,100829.48212432861,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,32.93074277910004,50438.458599090576,100939.98748016357,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,28.176976271462404,75174.30255508423,99950.76366043091,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,30.536227836089562,100341.26286697388,100382.58792495728,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,27.300196841810212,75284.4793624878,100381.0167427063,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,20.374689776577714,50221.41002655029,99963.75773239136,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,20.18843039588665,25136.761101722717,98656.10165023804,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,19.14782163420834,51.691829681396484,97151.9062590599,GREED_TRANSITION
+2008-02-20,STOP_LOSS,TMUS,852,24.76690101623535,21101.39966583252,53.87240876697988,53.87240876697988,21153.091495513916,94385.23314976692,VOLATILE_STOCKS
+2008-02-20,BUY_QQQ_STOPLOSS,QQQ,556,37.9323616027832,21090.39305114746,53.87240876697988,53.87240876697988,62.69844436645508,94385.23314976692,VOLATILE_STOCKS
+2008-02-28,STOP_LOSS,DXCM,11274,1.8849999904632568,21251.489892482758,50.39006293843006,50.39006293843006,21314.188336849213,94275.87118148804,VOLATILE_STOCKS
+2008-02-28,BUY_QQQ_STOPLOSS,QQQ,557,38.087764739990234,21214.88496017456,50.39006293843006,50.39006293843006,99.3033766746521,94275.87118148804,VOLATILE_STOCKS
+2008-04-25,STOP_LOSS,SBUX,3549,6.004380226135254,21309.545422554016,69.45714736367935,69.45714736367935,21408.84879922867,95417.57655572891,VOLATILE_STOCKS
+2008-04-25,BUY_QQQ_STOPLOSS,QQQ,523,40.73530578613281,21304.56492614746,69.45714736367935,69.45714736367935,104.28387308120728,95417.57655572891,VOLATILE_STOCKS
+2008-10-09,STOP_LOSS,ILMN,745,28.21011734008789,21016.53741836548,8.848037539825762,8.848037539825762,21120.821291446686,65760.3383011818,VOLATILE_STOCKS
+2008-10-09,BUY_QQQ_STOPLOSS,QQQ,770,27.269100189208984,20997.207145690918,8.848037539825762,8.848037539825762,123.61414575576782,65760.3383011818,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,75.86377868118474,93.22290468215942,73275.33140993118,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,82.3309806574607,62.822975635528564,73296.25204896927,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,77.63068795156485,33.13467836380005,71581.93110322952,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,75.32780647633614,3.429028034210205,71623.75197267532,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,602,40.003875732421875,24082.33319091797,33.580788922696,33.580788922696,24085.76221895218,96452.77341890335,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,602,39.7684211730957,23940.589546203613,33.34027831701036,33.34027831701036,48026.35176515579,96026.8361210823,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,602,39.40214920043945,23720.09381866455,27.283331291968164,27.283331291968164,71746.44558382034,95584.74585008621,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,602,40.335304260253906,24281.85316467285,37.67628312195878,37.67628312195878,96028.2987484932,96149.30466127396,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2705,8.87330436706543,24002.288312911987,36.8189871507287,36.8189871507287,72026.0104355812,96146.26974534988,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1539,15.59428596496582,23999.606100082397,35.18107991239285,35.18107991239285,48026.40433549881,95899.19834947586,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1793,13.38446044921875,23998.33758544922,33.88560765938214,33.88560765938214,24028.06675004959,95666.38539934158,GREED_TRANSITION
+2010-06-09,STOP_LOSS,TMUS,1793,13.38446044921875,23998.33758544922,33.40896140370173,33.40896140370173,48026.40433549881,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_QQQ_STOPLOSS,QQQ,627,38.216064453125,23961.472412109375,33.40896140370173,33.40896140370173,24064.931923389435,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_GRADUAL,LULU,1227,19.549999237060547,23987.84906387329,33.40896140370173,33.40896140370173,77.0828595161438,97031.60623884201,GREED_TRANSITION
+2010-08-30,STOP_LOSS,LULU,1227,15.949999809265137,19570.649765968323,31.110758231093467,31.110758231093467,19647.732625484467,94277.94799089432,VOLATILE_STOCKS
+2010-08-30,BUY_QQQ_STOPLOSS,QQQ,512,38.179931640625,19548.125,31.110758231093467,31.110758231093467,99.60762548446655,94277.94799089432,VOLATILE_STOCKS
+2010-11-04,SELL_GRADUAL,SIRI,676,13.309956550598145,8997.530628204346,79.52490444098007,79.52490444098007,9097.138253688812,126784.62676095963,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,NFLX,384,23.974285125732422,9206.12548828125,79.52490444098007,79.52490444098007,18303.263741970062,126784.62676095963,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,SIRI,676,13.85322093963623,9364.777355194092,80.12015594534758,80.12015594534758,27668.041097164154,127933.11126375198,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,NFLX,384,24.014286041259766,9221.48583984375,80.12015594534758,80.12015594534758,36889.526937007904,127933.11126375198,QQQ_TRANSITION
+2010-11-05,BUY_GRADUAL,QQQ,404,47.09733963012695,19027.32521057129,80.12015594534758,80.12015594534758,17862.201726436615,127933.11126375198,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,SIRI,676,14.034306526184082,9487.19121170044,78.02954261077275,78.02954261077275,27349.392938137054,128386.55824708939,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,NFLX,384,24.161428451538086,9277.988525390625,78.02954261077275,78.02954261077275,36627.38146352768,128386.55824708939,QQQ_TRANSITION
+2010-11-08,BUY_GRADUAL,QQQ,404,47.158782958984375,19052.148315429688,78.02954261077275,78.02954261077275,17575.233148097992,128386.55824708939,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,SIRI,676,13.491044044494629,9119.94577407837,74.24305370136257,74.24305370136257,26695.17892217636,127596.0518898964,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,NFLX,384,24.351428985595703,9350.94873046875,74.24305370136257,74.24305370136257,36046.12765264511,127596.0518898964,QQQ_TRANSITION
+2010-11-09,BUY_GRADUAL,QQQ,406,46.904296875,19043.14453125,74.24305370136257,74.24305370136257,17002.98312139511,127596.0518898964,QQQ_TRANSITION
+2011-08-05,SELL_GRADUAL,QQQ,589,47.504486083984375,27980.142303466797,16.014420438739027,16.014420438739027,44983.12542486191,129043.9979929924,FEAR_TRANSITION
+2011-08-08,SELL_GRADUAL,QQQ,589,44.64522171020508,26296.03558731079,12.102638620949758,12.102638620949758,71279.1610121727,123983.30336236954,FEAR_TRANSITION
+2011-08-09,SELL_GRADUAL,QQQ,589,46.798492431640625,27564.312042236328,21.243367458738685,21.243367458738685,98843.47305440903,126525.99728345871,FEAR_TRANSITION
+2011-08-10,SELL_GRADUAL,QQQ,589,44.88348388671875,26436.372009277344,16.34997696820296,16.34997696820296,125279.84506368637,125395.11773633957,FEAR_TRANSITION
+2011-08-16,BUY_GRADUAL,AMD,4944,6.340000152587891,31344.96075439453,27.713133229401997,27.713133229401997,93934.88430929184,125399.58466482162,GREED_TRANSITION
+2011-08-17,BUY_GRADUAL,DXCM,11087,2.827500104904175,31348.493663072586,27.444352198857068,27.444352198857068,62586.39064621925,124407.95951032639,GREED_TRANSITION
+2011-08-18,BUY_GRADUAL,ILMN,684,45.81711959838867,31338.90980529785,21.352782610275447,21.352782610275447,31247.480840921402,121090.06735396385,GREED_TRANSITION
+2011-09-29,STOP_LOSS,AMD,4944,5.309999942779541,26252.63971710205,35.52057049214211,35.52057049214211,57500.12055802345,119987.04083824158,VOLATILE_STOCKS
+2011-09-29,BUY_QQQ_STOPLOSS,QQQ,551,47.63679122924805,26247.871967315674,35.52057049214211,35.52057049214211,31252.24859070778,119987.04083824158,VOLATILE_STOCKS
+2011-10-07,STOP_LOSS,ILMN,684,26.43968963623047,18084.74771118164,45.948970380647914,45.948970380647914,49336.99630188942,106507.84904646873,VOLATILE_STOCKS
+2011-10-07,BUY_QQQ_STOPLOSS,QQQ,378,47.80477523803711,18070.205039978027,45.948970380647914,45.948970380647914,31266.791261911392,106507.84904646873,VOLATILE_STOCKS
+2011-10-25,STOP_LOSS,NFLX,3,11.052857398986816,33.15857219696045,57.64810056650888,57.64810056650888,31299.949834108353,107460.6527273655,VOLATILE_STOCKS
+2011-11-03,STOP_LOSS,DXCM,11087,1.9674999713897705,21813.672182798386,63.392430604527135,63.392430604527135,53113.62201690674,100849.260140419,VOLATILE_STOCKS
+2011-11-03,BUY_QQQ_STOPLOSS,QQQ,424,51.36781311035156,21779.952758789062,63.392430604527135,63.392430604527135,31333.669258117676,100849.260140419,VOLATILE_STOCKS
+2012-01-20,BUY_GRADUAL,QQQ,147,53.046531677246094,7797.840156555176,76.11690483789968,76.11690483789968,23535.8291015625,103124.6408443451,QQQ_TRANSITION
+2012-01-23,BUY_GRADUAL,QQQ,147,53.06429672241211,7800.45161819458,75.47387743828742,75.47387743828742,15735.37748336792,103151.28841209412,QQQ_TRANSITION
+2012-01-24,BUY_GRADUAL,QQQ,147,52.966651916503906,7786.097831726074,73.6603345892624,73.6603345892624,7949.279651641846,102990.28632545471,QQQ_TRANSITION
+2012-01-25,BUY_GRADUAL,QQQ,146,53.63228988647461,7830.314323425293,74.7347021654166,74.7347021654166,118.96532821655273,104184.44084358215,QQQ_TRANSITION
+2012-05-21,SELL_GRADUAL,QQQ,485,55.57248306274414,26952.65428543091,33.89789007404509,33.89789007404509,27071.61961364746,107947.51016616821,FEAR_TRANSITION
+2012-05-22,SELL_GRADUAL,QQQ,485,55.51026153564453,26922.476844787598,34.48360680185137,34.48360680185137,53994.09645843506,107856.79675674438,FEAR_TRANSITION
+2012-05-23,SELL_GRADUAL,QQQ,485,55.616939544677734,26974.2156791687,33.07033492791181,33.07033492791181,80968.31213760376,107960.54605484009,FEAR_TRANSITION
+2012-05-24,SELL_GRADUAL,QQQ,485,55.252464294433594,26797.445182800293,32.19709993260843,32.19709993260843,107765.75732040405,107783.77555847168,FEAR_TRANSITION
+2012-05-29,BUY_GRADUAL,VRTX,466,57.79999923706055,26934.799644470215,39.29817121538365,39.29817121538365,80830.95767593384,107783.23229789734,GREED_TRANSITION
+2012-05-30,BUY_GRADUAL,NXPI,1395,19.306720733642578,26932.875423431396,32.69376088195683,32.69376088195683,53898.08225250244,108891.95061683655,GREED_TRANSITION
+2012-05-31,BUY_GRADUAL,REGN,199,135.27606201171875,26919.93634033203,34.05046977820416,34.05046977820416,26978.14591217041,108301.30829811096,GREED_TRANSITION
+2012-06-01,BUY_GRADUAL,MNST,2291,11.756667137145996,26934.524411201477,27.26748930164401,27.26748930164401,43.621500968933105,103624.71716690063,GREED_TRANSITION
+2012-06-13,STOP_LOSS,REGN,199,111.57158660888672,22202.745735168457,43.66172453295675,43.66172453295675,22246.36723613739,101613.35444641113,VOLATILE_STOCKS
+2012-06-13,BUY_QQQ_STOPLOSS,QQQ,401,55.23466491699219,22149.100631713867,43.66172453295675,43.66172453295675,97.26660442352295,101613.35444641113,VOLATILE_STOCKS
+2012-07-24,STOP_LOSS,VRTX,466,48.369998931884766,22540.4195022583,50.83486055819301,50.83486055819301,22637.686106681824,98436.31856536865,VOLATILE_STOCKS
+2012-07-24,BUY_QQQ_STOPLOSS,QQQ,401,56.101200103759766,22496.581241607666,50.83486055819301,50.83486055819301,141.10486507415771,98436.31856536865,VOLATILE_STOCKS
+2012-08-10,STOP_LOSS,MNST,2291,9.045000076293945,20722.09517478943,62.38576286447885,62.38576286447885,20863.200039863586,99013.82264232635,VOLATILE_STOCKS
+2012-08-10,BUY_QQQ_STOPLOSS,QQQ,347,59.57632827758789,20672.985912322998,62.38576286447885,62.38576286447885,190.21412754058838,99013.82264232635,VOLATILE_STOCKS
+2013-01-24,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,75.13424844525217,75.13424844525217,9399.225060462952,105958.42475414276,QQQ_TRANSITION
+2013-01-24,BUY_GRADUAL,QQQ,154,59.8992919921875,9224.490966796875,75.13424844525217,75.13424844525217,174.73409366607666,105958.42475414276,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,NXPI,348,26.98277473449707,9390.00560760498,76.59616542938397,76.59616542938397,9564.739701271057,106901.63360309601,QQQ_TRANSITION
+2013-01-25,BUY_GRADUAL,QQQ,154,60.20482635498047,9271.543258666992,76.59616542938397,76.59616542938397,293.19644260406494,106901.63360309601,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,NXPI,348,27.350439071655273,9517.952796936035,75.72095442961731,75.72095442961731,9811.1492395401,107355.00672245026,QQQ_TRANSITION
+2013-01-28,BUY_GRADUAL,QQQ,153,60.33960723876953,9231.959907531738,75.72095442961731,75.72095442961731,579.1893320083618,107355.00672245026,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,76.8305936279351,76.8305936279351,9788.200264930725,107057.6746263504,QQQ_TRANSITION
+2013-01-29,BUY_GRADUAL,QQQ,153,60.34858703613281,9233.33381652832,76.8305936279351,76.8305936279351,554.8664484024048,107057.6746263504,QQQ_TRANSITION
+2015-08-25,SELL_GRADUAL,QQQ,440,90.95682525634766,40021.00311279297,18.64332792812587,18.64332792812587,40575.86956119537,161162.6973810196,FEAR_TRANSITION
+2015-08-26,SELL_GRADUAL,QQQ,440,95.53759002685547,42036.539611816406,30.238674126890754,30.238674126890754,82612.40917301178,167235.12405109406,FEAR_TRANSITION
+2015-08-27,SELL_GRADUAL,QQQ,440,97.9577865600586,43101.42608642578,36.72325111888732,36.72325111888732,125713.83525943756,169377.16119861603,FEAR_TRANSITION
+2015-08-28,SELL_GRADUAL,QQQ,440,97.93927001953125,43093.27880859375,36.806462475332836,36.806462475332836,168807.1140680313,169369.56935214996,FEAR_TRANSITION
+2015-09-01,BUY_GRADUAL,NFLX,399,105.79000091552734,42210.21036529541,29.162017163513145,29.162017163513145,126596.9037027359,169343.05567264557,GREED_TRANSITION
+2015-09-02,BUY_GRADUAL,NVDA,78306,0.5397700667381287,42267.2348459959,33.786594185558485,33.786594185558485,84329.66885674,169220.09294605255,GREED_TRANSITION
+2015-09-03,BUY_GRADUAL,MU,2608,16.203489303588867,42258.700103759766,35.8957291289263,35.8957291289263,42070.96875298023,167587.2710660696,GREED_TRANSITION
+2015-09-28,STOP_LOSS,MU,2608,13.732434272766113,35814.18858337402,29.287423364584594,29.287423364584594,77885.15733635426,162450.1579028368,VOLATILE_STOCKS
+2015-09-28,BUY_QQQ_STOPLOSS,QQQ,385,92.94425964355469,35783.539962768555,29.287423364584594,29.287423364584594,42101.6173735857,162450.1579028368,VOLATILE_STOCKS
+2017-02-16,SELL_GRADUAL,NFLX,99,142.00999450683594,14058.989456176758,74.18422120605587,74.18422120605587,56160.60682976246,353212.2857557535,QQQ_TRANSITION
+2017-02-16,SELL_GRADUAL,NVDA,19576,2.6415488719940186,51710.96071815491,74.18422120605587,74.18422120605587,107871.56754791737,353212.2857557535,QQQ_TRANSITION
+2017-02-16,BUY_GRADUAL,QQQ,634,121.85171508789062,77253.98736572266,74.18422120605587,74.18422120605587,30617.58018219471,353212.2857557535,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NFLX,99,142.22000122070312,14079.78012084961,73.85576423075787,73.85576423075787,44697.36030304432,353785.95212614536,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NVDA,19576,2.641056776046753,51701.327447891235,73.85576423075787,73.85576423075787,96398.68775093555,353785.95212614536,QQQ_TRANSITION
+2017-02-17,BUY_GRADUAL,QQQ,632,122.37963104248047,77343.92681884766,73.85576423075787,73.85576423075787,19054.7609320879,353785.95212614536,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NFLX,99,142.60000610351562,14117.400604248047,76.26775225821572,76.26775225821572,33172.161536335945,358564.9443079233,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NVDA,19576,2.73563551902771,53552.80092048645,76.26775225821572,76.26775225821572,86724.9624568224,358564.9443079233,QQQ_TRANSITION
+2017-02-21,BUY_GRADUAL,QQQ,628,122.98302459716797,77233.33944702148,76.26775225821572,76.26775225821572,9491.623009800911,358564.9443079233,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NFLX,99,143.86000061035156,14242.140060424805,74.96778290840957,74.96778290840957,23733.763070225716,358720.1136442423,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NVDA,19576,2.7314422130584717,53470.71276283264,74.96778290840957,74.96778290840957,77204.47583305836,358720.1136442423,QQQ_TRANSITION
+2018-12-18,SELL_GRADUAL,QQQ,570,151.55323791503906,86385.34561157227,24.442533177764215,24.442533177764215,163589.82144463062,424134.49860584736,FEAR_TRANSITION
+2018-12-19,SELL_GRADUAL,QQQ,570,147.8318328857422,84264.14474487305,22.796729661345402,22.796729661345402,247853.96618950367,417733.8956876993,FEAR_TRANSITION
+2018-12-20,SELL_GRADUAL,QQQ,570,145.68890380859375,83042.67517089844,22.299659882587015,22.299659882587015,330896.6413604021,415268.4574147463,FEAR_TRANSITION
+2018-12-21,SELL_GRADUAL,QQQ,570,141.17352294921875,80468.90808105469,19.58576040567819,19.58576040567819,411365.5494414568,412635.6761728525,FEAR_TRANSITION
+2018-12-27,BUY_GRADUAL,ZS,2566,40.16999816894531,103076.21530151367,27.938844950891582,27.938844950891582,308289.3341399431,412683.14164316654,GREED_TRANSITION
+2018-12-28,BUY_GRADUAL,AMD,5785,17.81999969482422,103088.6982345581,26.23355835507341,26.23355835507341,205200.63590538502,411732.7498089075,GREED_TRANSITION
+2018-12-31,BUY_GRADUAL,MDB,1231,83.73999786376953,103083.9373703003,30.089955926210273,30.089955926210273,102116.69853508472,413961.4327007532,GREED_TRANSITION
+2019-04-24,SELL_GRADUAL,ZS,641,64.98999786376953,41658.58863067627,74.73809260902496,74.73809260902496,143775.287165761,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1446,28.459999084472656,41153.15867614746,74.73809260902496,74.73809260902496,184928.44584190845,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,MDB,307,135.16000366210938,41494.12112426758,74.73809260902496,74.73809260902496,226422.56696617603,601725.5841990709,QQQ_TRANSITION
+2019-04-24,BUY_GRADUAL,QQQ,825,182.33738708496094,150428.34434509277,74.73809260902496,74.73809260902496,75994.22262108326,601725.5841990709,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,ZS,641,66.95999908447266,42921.35941314697,74.47201415715975,74.47201415715975,118915.58203423023,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,AMD,1446,27.65999984741211,39996.35977935791,74.47201415715975,74.47201415715975,158911.94181358814,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,MDB,307,137.66000366210938,42261.62112426758,74.47201415715975,74.47201415715975,201173.56293785572,604944.3393937349,QQQ_TRANSITION
+2019-04-25,BUY_GRADUAL,QQQ,822,183.07749938964844,150489.70449829102,74.47201415715975,74.47201415715975,50683.858439564705,604944.3393937349,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,ZS,641,66.94000244140625,42908.541564941406,74.04664446450204,74.04664446450204,93592.40000450611,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,AMD,1446,27.8799991607666,40314.478786468506,74.04664446450204,74.04664446450204,133906.87879097462,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,MDB,307,138.97999572753906,42666.85868835449,74.04664446450204,74.04664446450204,176573.7374793291,606662.1562358141,QQQ_TRANSITION
+2019-04-26,BUY_GRADUAL,QQQ,821,183.2408905029297,150440.77110290527,74.04664446450204,74.04664446450204,26132.966376423836,606662.1562358141,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,ZS,641,68.19999694824219,43716.19804382324,74.33985266042214,74.33985266042214,69849.16442024708,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,AMD,1446,27.690000534057617,40039.740772247314,74.33985266042214,74.33985266042214,109888.90519249439,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,MDB,307,137.5,42212.5,74.33985266042214,74.33985266042214,152101.4051924944,607605.7671710253,QQQ_TRANSITION
+2019-04-29,BUY_GRADUAL,QQQ,820,183.5964813232422,150549.1146850586,74.33985266042214,74.33985266042214,1552.2905074357986,607605.7671710253,QQQ_TRANSITION
+2020-02-28,SELL_GRADUAL,QQQ,822,199.0699005126953,163635.45822143555,20.377945426333802,20.377945426333802,165187.74872887135,658590.0816584826,FEAR_TRANSITION
+2020-03-02,SELL_GRADUAL,QQQ,822,209.34254455566406,172079.57162475586,36.64935574118489,36.64935574118489,337267.3203536272,684011.7751408815,FEAR_TRANSITION
+2020-03-03,SELL_GRADUAL,QQQ,822,202.62953186035156,166561.47518920898,29.173017969864834,29.173017969864834,503828.7955428362,672909.4515925646,FEAR_TRANSITION
+2020-03-04,SELL_GRADUAL,QQQ,822,211.08370971679688,173510.80938720703,37.762293269698624,37.762293269698624,677339.6049300432,679956.120731473,FEAR_TRANSITION
+2020-03-06,BUY_GRADUAL,MRNA,5736,29.610000610351562,169842.96350097656,24.79777800648001,24.79777800648001,507496.64142906666,679825.6721946001,GREED_TRANSITION
+2020-03-09,STOP_LOSS,MRNA,5736,24.290000915527344,139327.44525146484,16.994433907313056,16.994433907313056,646824.0866805315,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_QQQ_STOPLOSS,QQQ,744,187.23983764648438,139306.43920898438,16.994433907313056,16.994433907313056,507517.6474715471,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_GRADUAL,TSLA,4190,40.53333282470703,169834.66453552246,16.994433907313056,16.994433907313056,337682.98293602467,649100.3950177431,GREED_TRANSITION
+2020-03-10,BUY_GRADUAL,MRVL,7509,22.620569229125977,169857.85434150696,24.7215849676679,24.7215849676679,167825.1285945177,667229.5989590883,GREED_TRANSITION
+2020-03-12,STOP_LOSS,MRVL,7509,19.063262939453125,143146.04141235352,17.297952141169375,17.297952141169375,310971.1700068712,597219.0562878847,VOLATILE_STOCKS
+2020-03-12,BUY_QQQ_STOPLOSS,QQQ,834,171.52120971679688,143048.6889038086,17.297952141169375,17.297952141169375,167922.48110306263,597219.0562878847,VOLATILE_STOCKS
+2020-03-16,STOP_LOSS,TSLA,4190,29.67133331298828,124322.8865814209,19.126240915184,19.126240915184,292245.3676844835,552585.3837367296,VOLATILE_STOCKS
+2020-03-16,BUY_QQQ_STOPLOSS,QQQ,759,163.7635040283203,124296.49955749512,19.126240915184,19.126240915184,167948.8681269884,552585.3837367296,VOLATILE_STOCKS
+2020-06-03,BUY_GRADUAL,QQQ,185,229.43759155273438,42445.95443725586,78.64383713986213,78.64383713986213,125502.91368973255,707212.8291083574,QQQ_TRANSITION
+2020-06-04,BUY_GRADUAL,QQQ,187,227.82846069335938,42603.9221496582,79.05391554632061,79.05391554632061,82898.99154007435,703082.4960223436,QQQ_TRANSITION
+2020-06-05,BUY_GRADUAL,QQQ,183,232.3456268310547,42519.24971008301,83.9440139783205,83.9440139783205,40379.74182999134,715283.7573214769,QQQ_TRANSITION
+2022-01-26,SELL_GRADUAL,QQQ,723,336.8142395019531,243516.6951599121,24.061477932967016,24.061477932967016,283896.43698990345,1018472.5361949205,FEAR_TRANSITION
+2022-01-27,SELL_GRADUAL,QQQ,723,333.4222717285156,241064.3024597168,23.19312861351907,23.19312861351907,524960.7394496202,1011148.2586299181,FEAR_TRANSITION
+2022-01-28,SELL_GRADUAL,QQQ,723,343.8814697265625,248626.3026123047,32.47130624150118,32.47130624150118,773587.0420619249,1026391.1896373034,FEAR_TRANSITION
+2022-01-31,SELL_GRADUAL,QQQ,723,354.8782653808594,256576.98587036133,40.745889513626054,40.745889513626054,1030164.0279322863,1034683.9514399767,FEAR_TRANSITION
+2022-02-02,BUY_GRADUAL,NFLX,601,429.4800109863281,258117.4866027832,46.50000935058783,46.50000935058783,772046.5413295031,1034707.5882998705,GREED_TRANSITION
+2022-02-03,BUY_GRADUAL,PDD,4689,55.130001068115234,258504.57500839233,42.57397684804427,42.57397684804427,513541.9663211107,1020142.6742678881,GREED_TRANSITION
+2022-02-04,BUY_GRADUAL,WBD,8945,28.899999618530273,258510.4965877533,45.75812386485002,45.75812386485002,255031.46973335743,1026385.4142123461,GREED_TRANSITION
+2022-03-03,STOP_LOSS,PDD,4689,45.220001220703125,212036.58572387695,38.78432972132524,38.78432972132524,467068.0554572344,948795.3329497576,VOLATILE_STOCKS
+2022-03-03,BUY_QQQ_STOPLOSS,QQQ,633,334.55621337890625,211774.08306884766,38.78432972132524,38.78432972132524,255293.97238838673,948795.3329497576,VOLATILE_STOCKS
+2022-03-11,STOP_LOSS,WBD,8945,23.989999771118164,214590.54795265198,30.553866333660586,30.553866333660586,469884.5203410387,878854.3637820482,VOLATILE_STOCKS
+2022-03-11,BUY_QQQ_STOPLOSS,QQQ,676,317.09814453125,214358.345703125,30.553866333660586,30.553866333660586,255526.1746379137,878854.3637820482,VOLATILE_STOCKS
+2022-08-16,SELL_GRADUAL,NFLX,151,245.69000244140625,37099.190368652344,75.89323394690028,75.89323394690028,292625.36500656605,833290.0493594408,QQQ_TRANSITION
+2022-08-16,BUY_GRADUAL,QQQ,313,325.8274841308594,101984.00253295898,75.89323394690028,75.89323394690028,190641.36247360706,833290.0493594408,QQQ_TRANSITION
+2022-08-17,SELL_GRADUAL,NFLX,151,241.14999389648438,36413.64907836914,71.95888891502631,71.95888891502631,227055.0115519762,825131.600541234,QQQ_TRANSITION
+2022-08-17,BUY_GRADUAL,QQQ,316,322.1111145019531,101787.11218261719,71.95888891502631,71.95888891502631,125267.89936935902,825131.600541234,QQQ_TRANSITION
+2022-08-18,SELL_GRADUAL,NFLX,151,245.1699981689453,37020.66972351074,72.7643774387154,72.7643774387154,162288.56909286976,827835.9035960436,QQQ_TRANSITION
+2022-08-18,BUY_GRADUAL,QQQ,316,322.8857727050781,102031.90417480469,72.7643774387154,72.7643774387154,60256.66491806507,827835.9035960436,QQQ_TRANSITION
+2022-08-19,SELL_GRADUAL,NFLX,151,241.16000366210938,36415.160552978516,68.48379396098062,68.48379396098062,96671.82547104359,812946.4563647509,QQQ_TRANSITION
+2022-09-26,SELL_GRADUAL,QQQ,564,269.52557373046875,152012.42358398438,25.412070998468074,25.412070998468074,248684.24905502796,706188.6064368486,FEAR_TRANSITION
+2022-09-27,SELL_GRADUAL,QQQ,564,269.6336364746094,152073.3709716797,26.22711815731541,26.22711815731541,400757.62002670765,706398.3756018877,FEAR_TRANSITION
+2022-09-28,SELL_GRADUAL,QQQ,564,274.9972229003906,155098.4337158203,33.21082990012799,33.21082990012799,555856.053742528,712491.662078023,FEAR_TRANSITION
+2022-09-29,SELL_GRADUAL,QQQ,564,267.0697021484375,150627.31201171875,29.27070352396588,29.27070352396588,706483.3657542467,707972.9652472734,FEAR_TRANSITION
+2022-10-03,BUY_GRADUAL,BIIB,669,264.29998779296875,176816.6918334961,32.38063116058547,32.38063116058547,529666.6739207506,707985.9719649553,GREED_TRANSITION
+2022-10-04,BUY_GRADUAL,REGN,239,737.5012817382812,176262.80633544922,42.2918131346582,42.2918131346582,353403.8675853014,710158.7622882128,GREED_TRANSITION
+2022-10-05,BUY_GRADUAL,NFLX,747,236.72999572753906,176837.30680847168,41.52977712655799,41.52977712655799,176566.56077682972,707777.2871772051,GREED_TRANSITION
+2023-02-03,SELL_GRADUAL,BIIB,167,283.6300048828125,47366.21081542969,72.23030348546578,72.23030348546578,223932.7715922594,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,REGN,59,780.97119140625,46077.30029296875,72.23030348546578,72.23030348546578,270010.07188522816,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,NFLX,186,365.8999938964844,68057.3988647461,72.23030348546578,72.23030348546578,338067.47074997425,827954.7001353502,QQQ_TRANSITION
+2023-02-03,BUY_GRADUAL,QQQ,683,301.49395751953125,205920.37298583984,72.23030348546578,72.23030348546578,132147.0977641344,827954.7001353502,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,BIIB,167,288.2799987792969,48142.75979614258,65.34324140803145,65.34324140803145,180289.85756027699,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,REGN,59,778.7074584960938,45943.74005126953,65.34324140803145,65.34324140803145,226233.59761154652,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,NFLX,186,361.4800109863281,67235.28204345703,65.34324140803145,65.34324140803145,293468.87965500355,825630.6798182726,QQQ_TRANSITION
+2023-02-06,BUY_GRADUAL,QQQ,688,298.9436340332031,205673.22021484375,65.34324140803145,65.34324140803145,87795.6594401598,825630.6798182726,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,BIIB,167,291.42999267578125,48668.80877685547,70.27852780807376,70.27852780807376,136464.46821701527,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,REGN,59,767.8175048828125,45301.23278808594,70.27852780807376,70.27852780807376,181765.7010051012,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,NFLX,186,362.95001220703125,67508.70227050781,70.27852780807376,70.27852780807376,249274.40327560902,834460.9118129015,QQQ_TRANSITION
+2023-02-07,BUY_GRADUAL,QQQ,674,305.1373596191406,205662.58038330078,70.27852780807376,70.27852780807376,43611.822892308235,834460.9118129015,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,BIIB,167,285.45001220703125,47670.15203857422,64.43188468733032,64.43188468733032,91281.97493088245,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,REGN,59,747.5934448242188,44108.013244628906,64.43188468733032,64.43188468733032,135389.98817551136,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,NFLX,186,366.8299865722656,68230.3775024414,64.43188468733032,64.43188468733032,203620.36567795277,821817.0054217577,QQQ_TRANSITION
+2023-11-09,STOP_LOSS,BIIB,1,224.64999389648438,224.64999389648438,54.383852658550936,54.383852658550936,203845.01567184925,958229.0677386522,QQQ_HOLD
+2025-04-07,SELL_GRADUAL,QQQ,511,423.2146911621094,216262.7071838379,24.106379703967942,24.106379703967942,420107.72285568714,1075227.2145739794,FEAR_TRANSITION
+2025-04-08,SELL_GRADUAL,QQQ,511,415.59326171875,212368.15673828125,23.47897409359107,23.47897409359107,632475.8795939684,1063446.8414145708,FEAR_TRANSITION
+2025-04-09,SELL_GRADUAL,QQQ,511,465.47723388671875,237858.86651611328,39.00858627592589,39.00858627592589,870334.7461100817,1115042.5140486956,FEAR_TRANSITION
+2025-04-10,SELL_GRADUAL,QQQ,511,445.6794738769531,227742.21115112305,33.96020602504672,33.96020602504672,1098076.9572612047,1104615.0388365984,FEAR_TRANSITION
+2025-04-14,BUY_GRADUAL,MCHP,7155,38.58142852783203,276050.1211166382,37.444908145843534,37.444908145843534,822026.8361445665,1104757.0596286058,GREED_TRANSITION
+2025-04-15,BUY_GRADUAL,WBD,33461,8.25,276053.25,37.75161834264942,37.75161834264942,545973.5861445665,1103806.8776408434,GREED_TRANSITION
+2025-04-16,STOP_LOSS,WBD,33461,7.920000076293945,265011.1225528717,32.4554396374009,32.4554396374009,810984.7086974382,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_QQQ_STOPLOSS,QQQ,597,443.68170166015625,264877.9758911133,32.4554396374009,32.4554396374009,546106.732806325,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_GRADUAL,AMD,3126,88.29000091552734,275994.5428619385,32.4554396374009,32.4554396374009,270112.1899443865,1087112.121976018,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,781,113.51000213623047,88651.311668396,75.62799649436673,75.62799649436673,358763.5016127825,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,1788,60.33309555053711,107875.57484436035,75.62799649436673,75.62799649436673,466639.07645714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,BUY_GRADUAL,QQQ,512,519.6863403320312,266079.40625,75.62799649436673,75.62799649436673,200559.67020714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,AMD,781,112.05999755859375,87518.85809326172,68.96239147283873,68.96239147283873,288078.52830040455,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,1788,58.79499816894531,105125.45672607422,68.96239147283873,68.96239147283873,393203.98502647877,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,520,512.4644165039062,266481.49658203125,68.96239147283873,68.96239147283873,126722.48844444752,1355189.5948916674,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,781,110.70999908447266,86464.50928497314,66.69973135428862,66.69973135428862,213186.99772942066,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,1788,58.04999923706055,103793.39863586426,66.69973135428862,66.69973135428862,316980.3963652849,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,519,513.4234008789062,266466.74505615234,66.69973135428862,66.69973135428862,50513.651309132576,1351925.0433951616,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,781,110.30999755859375,86152.10809326172,62.342179974993726,62.342179974993726,136665.7594023943,1338007.1326247454,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,1788,56.189998626708984,100467.71754455566,62.342179974993726,62.342179974993726,237133.47694694996,1338007.1326247454,QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_190932.csv

@@ -0,0 +1,204 @@
+date,action,ticker,shares,price,value,fg_index,cnn_fear_greed,cash_after,total_assets,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,26.344740247547747,25208.408485412598,100829.48212432861,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,32.93074277910004,50438.458599090576,100939.98748016357,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,28.176976271462404,75174.30255508423,99950.76366043091,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,30.536227836089562,100341.26286697388,100382.58792495728,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,27.300196841810212,75284.4793624878,100381.0167427063,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,20.374689776577714,50221.41002655029,99963.75773239136,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,20.18843039588665,25136.761101722717,98656.10165023804,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,19.14782163420834,51.691829681396484,97151.9062590599,GREED_TRANSITION
+2008-02-20,STOP_LOSS,TMUS,852,24.76690101623535,21101.39966583252,53.87240876697988,53.87240876697988,21153.091495513916,94385.23314976692,VOLATILE_STOCKS
+2008-02-20,BUY_QQQ_STOPLOSS,QQQ,556,37.9323616027832,21090.39305114746,53.87240876697988,53.87240876697988,62.69844436645508,94385.23314976692,VOLATILE_STOCKS
+2008-02-28,STOP_LOSS,DXCM,11274,1.8849999904632568,21251.489892482758,50.39006293843006,50.39006293843006,21314.188336849213,94275.87118148804,VOLATILE_STOCKS
+2008-02-28,BUY_QQQ_STOPLOSS,QQQ,557,38.087764739990234,21214.88496017456,50.39006293843006,50.39006293843006,99.3033766746521,94275.87118148804,VOLATILE_STOCKS
+2008-04-25,STOP_LOSS,SBUX,3549,6.004380226135254,21309.545422554016,69.45714736367935,69.45714736367935,21408.84879922867,95417.57655572891,VOLATILE_STOCKS
+2008-04-25,BUY_QQQ_STOPLOSS,QQQ,523,40.73530578613281,21304.56492614746,69.45714736367935,69.45714736367935,104.28387308120728,95417.57655572891,VOLATILE_STOCKS
+2008-10-09,STOP_LOSS,ILMN,745,28.21011734008789,21016.53741836548,8.848037539825762,8.848037539825762,21120.821291446686,65760.3383011818,VOLATILE_STOCKS
+2008-10-09,BUY_QQQ_STOPLOSS,QQQ,770,27.269100189208984,20997.207145690918,8.848037539825762,8.848037539825762,123.61414575576782,65760.3383011818,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,75.86377868118474,93.22290468215942,73275.33140993118,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,82.3309806574607,62.822975635528564,73296.25204896927,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,77.63068795156485,33.13467836380005,71581.93110322952,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,75.32780647633614,3.429028034210205,71623.75197267532,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,602,40.003875732421875,24082.33319091797,33.580788922696,33.580788922696,24085.76221895218,96452.77341890335,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,602,39.7684211730957,23940.589546203613,33.34027831701036,33.34027831701036,48026.35176515579,96026.8361210823,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,602,39.40214920043945,23720.09381866455,27.283331291968164,27.283331291968164,71746.44558382034,95584.74585008621,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,602,40.335304260253906,24281.85316467285,37.67628312195878,37.67628312195878,96028.2987484932,96149.30466127396,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2705,8.87330436706543,24002.288312911987,36.8189871507287,36.8189871507287,72026.0104355812,96146.26974534988,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1539,15.59428596496582,23999.606100082397,35.18107991239285,35.18107991239285,48026.40433549881,95899.19834947586,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1793,13.38446044921875,23998.33758544922,33.88560765938214,33.88560765938214,24028.06675004959,95666.38539934158,GREED_TRANSITION
+2010-06-09,STOP_LOSS,TMUS,1793,13.38446044921875,23998.33758544922,33.40896140370173,33.40896140370173,48026.40433549881,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_QQQ_STOPLOSS,QQQ,627,38.216064453125,23961.472412109375,33.40896140370173,33.40896140370173,24064.931923389435,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_GRADUAL,LULU,1227,19.549999237060547,23987.84906387329,33.40896140370173,33.40896140370173,77.0828595161438,97031.60623884201,GREED_TRANSITION
+2010-08-30,STOP_LOSS,LULU,1227,15.949999809265137,19570.649765968323,31.110758231093467,31.110758231093467,19647.732625484467,94277.94799089432,VOLATILE_STOCKS
+2010-08-30,BUY_QQQ_STOPLOSS,QQQ,512,38.179931640625,19548.125,31.110758231093467,31.110758231093467,99.60762548446655,94277.94799089432,VOLATILE_STOCKS
+2010-11-04,SELL_GRADUAL,SIRI,676,13.309956550598145,8997.530628204346,79.52490444098007,79.52490444098007,9097.138253688812,126784.62676095963,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,NFLX,384,23.974285125732422,9206.12548828125,79.52490444098007,79.52490444098007,18303.263741970062,126784.62676095963,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,SIRI,676,13.85322093963623,9364.777355194092,80.12015594534758,80.12015594534758,27668.041097164154,127933.11126375198,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,NFLX,384,24.014286041259766,9221.48583984375,80.12015594534758,80.12015594534758,36889.526937007904,127933.11126375198,QQQ_TRANSITION
+2010-11-05,BUY_GRADUAL,QQQ,404,47.09733963012695,19027.32521057129,80.12015594534758,80.12015594534758,17862.201726436615,127933.11126375198,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,SIRI,676,14.034306526184082,9487.19121170044,78.02954261077275,78.02954261077275,27349.392938137054,128386.55824708939,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,NFLX,384,24.161428451538086,9277.988525390625,78.02954261077275,78.02954261077275,36627.38146352768,128386.55824708939,QQQ_TRANSITION
+2010-11-08,BUY_GRADUAL,QQQ,404,47.158782958984375,19052.148315429688,78.02954261077275,78.02954261077275,17575.233148097992,128386.55824708939,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,SIRI,676,13.491044044494629,9119.94577407837,74.24305370136257,74.24305370136257,26695.17892217636,127596.0518898964,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,NFLX,384,24.351428985595703,9350.94873046875,74.24305370136257,74.24305370136257,36046.12765264511,127596.0518898964,QQQ_TRANSITION
+2010-11-09,BUY_GRADUAL,QQQ,406,46.904296875,19043.14453125,74.24305370136257,74.24305370136257,17002.98312139511,127596.0518898964,QQQ_TRANSITION
+2011-08-05,SELL_GRADUAL,QQQ,589,47.504486083984375,27980.142303466797,16.014420438739027,16.014420438739027,44983.12542486191,129043.9979929924,FEAR_TRANSITION
+2011-08-08,SELL_GRADUAL,QQQ,589,44.64522171020508,26296.03558731079,12.102638620949758,12.102638620949758,71279.1610121727,123983.30336236954,FEAR_TRANSITION
+2011-08-09,SELL_GRADUAL,QQQ,589,46.798492431640625,27564.312042236328,21.243367458738685,21.243367458738685,98843.47305440903,126525.99728345871,FEAR_TRANSITION
+2011-08-10,SELL_GRADUAL,QQQ,589,44.88348388671875,26436.372009277344,16.34997696820296,16.34997696820296,125279.84506368637,125395.11773633957,FEAR_TRANSITION
+2011-08-16,BUY_GRADUAL,AMD,4944,6.340000152587891,31344.96075439453,27.713133229401997,27.713133229401997,93934.88430929184,125399.58466482162,GREED_TRANSITION
+2011-08-17,BUY_GRADUAL,DXCM,11087,2.827500104904175,31348.493663072586,27.444352198857068,27.444352198857068,62586.39064621925,124407.95951032639,GREED_TRANSITION
+2011-08-18,BUY_GRADUAL,ILMN,684,45.81711959838867,31338.90980529785,21.352782610275447,21.352782610275447,31247.480840921402,121090.06735396385,GREED_TRANSITION
+2011-09-29,STOP_LOSS,AMD,4944,5.309999942779541,26252.63971710205,35.52057049214211,35.52057049214211,57500.12055802345,119987.04083824158,VOLATILE_STOCKS
+2011-09-29,BUY_QQQ_STOPLOSS,QQQ,551,47.63679122924805,26247.871967315674,35.52057049214211,35.52057049214211,31252.24859070778,119987.04083824158,VOLATILE_STOCKS
+2011-10-07,STOP_LOSS,ILMN,684,26.43968963623047,18084.74771118164,45.948970380647914,45.948970380647914,49336.99630188942,106507.84904646873,VOLATILE_STOCKS
+2011-10-07,BUY_QQQ_STOPLOSS,QQQ,378,47.80477523803711,18070.205039978027,45.948970380647914,45.948970380647914,31266.791261911392,106507.84904646873,VOLATILE_STOCKS
+2011-10-25,STOP_LOSS,NFLX,3,11.052857398986816,33.15857219696045,57.64810056650888,57.64810056650888,31299.949834108353,107460.6527273655,VOLATILE_STOCKS
+2011-11-03,STOP_LOSS,DXCM,11087,1.9674999713897705,21813.672182798386,63.392430604527135,63.392430604527135,53113.62201690674,100849.260140419,VOLATILE_STOCKS
+2011-11-03,BUY_QQQ_STOPLOSS,QQQ,424,51.36781311035156,21779.952758789062,63.392430604527135,63.392430604527135,31333.669258117676,100849.260140419,VOLATILE_STOCKS
+2012-01-20,BUY_GRADUAL,QQQ,147,53.046531677246094,7797.840156555176,76.11690483789968,76.11690483789968,23535.8291015625,103124.6408443451,QQQ_TRANSITION
+2012-01-23,BUY_GRADUAL,QQQ,147,53.06429672241211,7800.45161819458,75.47387743828742,75.47387743828742,15735.37748336792,103151.28841209412,QQQ_TRANSITION
+2012-01-24,BUY_GRADUAL,QQQ,147,52.966651916503906,7786.097831726074,73.6603345892624,73.6603345892624,7949.279651641846,102990.28632545471,QQQ_TRANSITION
+2012-01-25,BUY_GRADUAL,QQQ,146,53.63228988647461,7830.314323425293,74.7347021654166,74.7347021654166,118.96532821655273,104184.44084358215,QQQ_TRANSITION
+2012-05-21,SELL_GRADUAL,QQQ,485,55.57248306274414,26952.65428543091,33.89789007404509,33.89789007404509,27071.61961364746,107947.51016616821,FEAR_TRANSITION
+2012-05-22,SELL_GRADUAL,QQQ,485,55.51026153564453,26922.476844787598,34.48360680185137,34.48360680185137,53994.09645843506,107856.79675674438,FEAR_TRANSITION
+2012-05-23,SELL_GRADUAL,QQQ,485,55.616939544677734,26974.2156791687,33.07033492791181,33.07033492791181,80968.31213760376,107960.54605484009,FEAR_TRANSITION
+2012-05-24,SELL_GRADUAL,QQQ,485,55.252464294433594,26797.445182800293,32.19709993260843,32.19709993260843,107765.75732040405,107783.77555847168,FEAR_TRANSITION
+2012-05-29,BUY_GRADUAL,VRTX,466,57.79999923706055,26934.799644470215,39.29817121538365,39.29817121538365,80830.95767593384,107783.23229789734,GREED_TRANSITION
+2012-05-30,BUY_GRADUAL,NXPI,1395,19.306720733642578,26932.875423431396,32.69376088195683,32.69376088195683,53898.08225250244,108891.95061683655,GREED_TRANSITION
+2012-05-31,BUY_GRADUAL,REGN,199,135.27606201171875,26919.93634033203,34.05046977820416,34.05046977820416,26978.14591217041,108301.30829811096,GREED_TRANSITION
+2012-06-01,BUY_GRADUAL,MNST,2291,11.756667137145996,26934.524411201477,27.26748930164401,27.26748930164401,43.621500968933105,103624.71716690063,GREED_TRANSITION
+2012-06-13,STOP_LOSS,REGN,199,111.57158660888672,22202.745735168457,43.66172453295675,43.66172453295675,22246.36723613739,101613.35444641113,VOLATILE_STOCKS
+2012-06-13,BUY_QQQ_STOPLOSS,QQQ,401,55.23466491699219,22149.100631713867,43.66172453295675,43.66172453295675,97.26660442352295,101613.35444641113,VOLATILE_STOCKS
+2012-07-24,STOP_LOSS,VRTX,466,48.369998931884766,22540.4195022583,50.83486055819301,50.83486055819301,22637.686106681824,98436.31856536865,VOLATILE_STOCKS
+2012-07-24,BUY_QQQ_STOPLOSS,QQQ,401,56.101200103759766,22496.581241607666,50.83486055819301,50.83486055819301,141.10486507415771,98436.31856536865,VOLATILE_STOCKS
+2012-08-10,STOP_LOSS,MNST,2291,9.045000076293945,20722.09517478943,62.38576286447885,62.38576286447885,20863.200039863586,99013.82264232635,VOLATILE_STOCKS
+2012-08-10,BUY_QQQ_STOPLOSS,QQQ,347,59.57632827758789,20672.985912322998,62.38576286447885,62.38576286447885,190.21412754058838,99013.82264232635,VOLATILE_STOCKS
+2013-01-24,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,75.13424844525217,75.13424844525217,9399.225060462952,105958.42475414276,QQQ_TRANSITION
+2013-01-24,BUY_GRADUAL,QQQ,154,59.8992919921875,9224.490966796875,75.13424844525217,75.13424844525217,174.73409366607666,105958.42475414276,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,NXPI,348,26.98277473449707,9390.00560760498,76.59616542938397,76.59616542938397,9564.739701271057,106901.63360309601,QQQ_TRANSITION
+2013-01-25,BUY_GRADUAL,QQQ,154,60.20482635498047,9271.543258666992,76.59616542938397,76.59616542938397,293.19644260406494,106901.63360309601,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,NXPI,348,27.350439071655273,9517.952796936035,75.72095442961731,75.72095442961731,9811.1492395401,107355.00672245026,QQQ_TRANSITION
+2013-01-28,BUY_GRADUAL,QQQ,153,60.33960723876953,9231.959907531738,75.72095442961731,75.72095442961731,579.1893320083618,107355.00672245026,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,76.8305936279351,76.8305936279351,9788.200264930725,107057.6746263504,QQQ_TRANSITION
+2013-01-29,BUY_GRADUAL,QQQ,153,60.34858703613281,9233.33381652832,76.8305936279351,76.8305936279351,554.8664484024048,107057.6746263504,QQQ_TRANSITION
+2015-08-25,SELL_GRADUAL,QQQ,440,90.95682525634766,40021.00311279297,18.64332792812587,18.64332792812587,40575.86956119537,161162.6973810196,FEAR_TRANSITION
+2015-08-26,SELL_GRADUAL,QQQ,440,95.53759002685547,42036.539611816406,30.238674126890754,30.238674126890754,82612.40917301178,167235.12405109406,FEAR_TRANSITION
+2015-08-27,SELL_GRADUAL,QQQ,440,97.9577865600586,43101.42608642578,36.72325111888732,36.72325111888732,125713.83525943756,169377.16119861603,FEAR_TRANSITION
+2015-08-28,SELL_GRADUAL,QQQ,440,97.93927001953125,43093.27880859375,36.806462475332836,36.806462475332836,168807.1140680313,169369.56935214996,FEAR_TRANSITION
+2015-09-01,BUY_GRADUAL,NFLX,399,105.79000091552734,42210.21036529541,29.162017163513145,29.162017163513145,126596.9037027359,169343.05567264557,GREED_TRANSITION
+2015-09-02,BUY_GRADUAL,NVDA,78306,0.5397700667381287,42267.2348459959,33.786594185558485,33.786594185558485,84329.66885674,169220.09294605255,GREED_TRANSITION
+2015-09-03,BUY_GRADUAL,MU,2608,16.203489303588867,42258.700103759766,35.8957291289263,35.8957291289263,42070.96875298023,167587.2710660696,GREED_TRANSITION
+2015-09-28,STOP_LOSS,MU,2608,13.732434272766113,35814.18858337402,29.287423364584594,29.287423364584594,77885.15733635426,162450.1579028368,VOLATILE_STOCKS
+2015-09-28,BUY_QQQ_STOPLOSS,QQQ,385,92.94425964355469,35783.539962768555,29.287423364584594,29.287423364584594,42101.6173735857,162450.1579028368,VOLATILE_STOCKS
+2017-02-16,SELL_GRADUAL,NFLX,99,142.00999450683594,14058.989456176758,74.18422120605587,74.18422120605587,56160.60682976246,353212.2857557535,QQQ_TRANSITION
+2017-02-16,SELL_GRADUAL,NVDA,19576,2.6415488719940186,51710.96071815491,74.18422120605587,74.18422120605587,107871.56754791737,353212.2857557535,QQQ_TRANSITION
+2017-02-16,BUY_GRADUAL,QQQ,634,121.85171508789062,77253.98736572266,74.18422120605587,74.18422120605587,30617.58018219471,353212.2857557535,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NFLX,99,142.22000122070312,14079.78012084961,73.85576423075787,73.85576423075787,44697.36030304432,353785.95212614536,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NVDA,19576,2.641056776046753,51701.327447891235,73.85576423075787,73.85576423075787,96398.68775093555,353785.95212614536,QQQ_TRANSITION
+2017-02-17,BUY_GRADUAL,QQQ,632,122.37963104248047,77343.92681884766,73.85576423075787,73.85576423075787,19054.7609320879,353785.95212614536,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NFLX,99,142.60000610351562,14117.400604248047,76.26775225821572,76.26775225821572,33172.161536335945,358564.9443079233,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NVDA,19576,2.73563551902771,53552.80092048645,76.26775225821572,76.26775225821572,86724.9624568224,358564.9443079233,QQQ_TRANSITION
+2017-02-21,BUY_GRADUAL,QQQ,628,122.98302459716797,77233.33944702148,76.26775225821572,76.26775225821572,9491.623009800911,358564.9443079233,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NFLX,99,143.86000061035156,14242.140060424805,74.96778290840957,74.96778290840957,23733.763070225716,358720.1136442423,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NVDA,19576,2.7314422130584717,53470.71276283264,74.96778290840957,74.96778290840957,77204.47583305836,358720.1136442423,QQQ_TRANSITION
+2018-12-18,SELL_GRADUAL,QQQ,570,151.55323791503906,86385.34561157227,24.442533177764215,24.442533177764215,163589.82144463062,424134.49860584736,FEAR_TRANSITION
+2018-12-19,SELL_GRADUAL,QQQ,570,147.8318328857422,84264.14474487305,22.796729661345402,22.796729661345402,247853.96618950367,417733.8956876993,FEAR_TRANSITION
+2018-12-20,SELL_GRADUAL,QQQ,570,145.68890380859375,83042.67517089844,22.299659882587015,22.299659882587015,330896.6413604021,415268.4574147463,FEAR_TRANSITION
+2018-12-21,SELL_GRADUAL,QQQ,570,141.17352294921875,80468.90808105469,19.58576040567819,19.58576040567819,411365.5494414568,412635.6761728525,FEAR_TRANSITION
+2018-12-27,BUY_GRADUAL,ZS,2566,40.16999816894531,103076.21530151367,27.938844950891582,27.938844950891582,308289.3341399431,412683.14164316654,GREED_TRANSITION
+2018-12-28,BUY_GRADUAL,AMD,5785,17.81999969482422,103088.6982345581,26.23355835507341,26.23355835507341,205200.63590538502,411732.7498089075,GREED_TRANSITION
+2018-12-31,BUY_GRADUAL,MDB,1231,83.73999786376953,103083.9373703003,30.089955926210273,30.089955926210273,102116.69853508472,413961.4327007532,GREED_TRANSITION
+2019-04-24,SELL_GRADUAL,ZS,641,64.98999786376953,41658.58863067627,74.73809260902496,74.73809260902496,143775.287165761,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1446,28.459999084472656,41153.15867614746,74.73809260902496,74.73809260902496,184928.44584190845,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,MDB,307,135.16000366210938,41494.12112426758,74.73809260902496,74.73809260902496,226422.56696617603,601725.5841990709,QQQ_TRANSITION
+2019-04-24,BUY_GRADUAL,QQQ,825,182.33738708496094,150428.34434509277,74.73809260902496,74.73809260902496,75994.22262108326,601725.5841990709,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,ZS,641,66.95999908447266,42921.35941314697,74.47201415715975,74.47201415715975,118915.58203423023,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,AMD,1446,27.65999984741211,39996.35977935791,74.47201415715975,74.47201415715975,158911.94181358814,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,MDB,307,137.66000366210938,42261.62112426758,74.47201415715975,74.47201415715975,201173.56293785572,604944.3393937349,QQQ_TRANSITION
+2019-04-25,BUY_GRADUAL,QQQ,822,183.07749938964844,150489.70449829102,74.47201415715975,74.47201415715975,50683.858439564705,604944.3393937349,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,ZS,641,66.94000244140625,42908.541564941406,74.04664446450204,74.04664446450204,93592.40000450611,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,AMD,1446,27.8799991607666,40314.478786468506,74.04664446450204,74.04664446450204,133906.87879097462,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,MDB,307,138.97999572753906,42666.85868835449,74.04664446450204,74.04664446450204,176573.7374793291,606662.1562358141,QQQ_TRANSITION
+2019-04-26,BUY_GRADUAL,QQQ,821,183.2408905029297,150440.77110290527,74.04664446450204,74.04664446450204,26132.966376423836,606662.1562358141,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,ZS,641,68.19999694824219,43716.19804382324,74.33985266042214,74.33985266042214,69849.16442024708,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,AMD,1446,27.690000534057617,40039.740772247314,74.33985266042214,74.33985266042214,109888.90519249439,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,MDB,307,137.5,42212.5,74.33985266042214,74.33985266042214,152101.4051924944,607605.7671710253,QQQ_TRANSITION
+2019-04-29,BUY_GRADUAL,QQQ,820,183.5964813232422,150549.1146850586,74.33985266042214,74.33985266042214,1552.2905074357986,607605.7671710253,QQQ_TRANSITION
+2020-02-28,SELL_GRADUAL,QQQ,822,199.0699005126953,163635.45822143555,20.377945426333802,20.377945426333802,165187.74872887135,658590.0816584826,FEAR_TRANSITION
+2020-03-02,SELL_GRADUAL,QQQ,822,209.34254455566406,172079.57162475586,36.64935574118489,36.64935574118489,337267.3203536272,684011.7751408815,FEAR_TRANSITION
+2020-03-03,SELL_GRADUAL,QQQ,822,202.62953186035156,166561.47518920898,29.173017969864834,29.173017969864834,503828.7955428362,672909.4515925646,FEAR_TRANSITION
+2020-03-04,SELL_GRADUAL,QQQ,822,211.08370971679688,173510.80938720703,37.762293269698624,37.762293269698624,677339.6049300432,679956.120731473,FEAR_TRANSITION
+2020-03-06,BUY_GRADUAL,MRNA,5736,29.610000610351562,169842.96350097656,24.79777800648001,24.79777800648001,507496.64142906666,679825.6721946001,GREED_TRANSITION
+2020-03-09,STOP_LOSS,MRNA,5736,24.290000915527344,139327.44525146484,16.994433907313056,16.994433907313056,646824.0866805315,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_QQQ_STOPLOSS,QQQ,744,187.23983764648438,139306.43920898438,16.994433907313056,16.994433907313056,507517.6474715471,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_GRADUAL,TSLA,4190,40.53333282470703,169834.66453552246,16.994433907313056,16.994433907313056,337682.98293602467,649100.3950177431,GREED_TRANSITION
+2020-03-10,BUY_GRADUAL,MRVL,7509,22.620569229125977,169857.85434150696,24.7215849676679,24.7215849676679,167825.1285945177,667229.5989590883,GREED_TRANSITION
+2020-03-12,STOP_LOSS,MRVL,7509,19.063262939453125,143146.04141235352,17.297952141169375,17.297952141169375,310971.1700068712,597219.0562878847,VOLATILE_STOCKS
+2020-03-12,BUY_QQQ_STOPLOSS,QQQ,834,171.52120971679688,143048.6889038086,17.297952141169375,17.297952141169375,167922.48110306263,597219.0562878847,VOLATILE_STOCKS
+2020-03-16,STOP_LOSS,TSLA,4190,29.67133331298828,124322.8865814209,19.126240915184,19.126240915184,292245.3676844835,552585.3837367296,VOLATILE_STOCKS
+2020-03-16,BUY_QQQ_STOPLOSS,QQQ,759,163.7635040283203,124296.49955749512,19.126240915184,19.126240915184,167948.8681269884,552585.3837367296,VOLATILE_STOCKS
+2020-06-03,BUY_GRADUAL,QQQ,185,229.43759155273438,42445.95443725586,78.64383713986213,78.64383713986213,125502.91368973255,707212.8291083574,QQQ_TRANSITION
+2020-06-04,BUY_GRADUAL,QQQ,187,227.82846069335938,42603.9221496582,79.05391554632061,79.05391554632061,82898.99154007435,703082.4960223436,QQQ_TRANSITION
+2020-06-05,BUY_GRADUAL,QQQ,183,232.3456268310547,42519.24971008301,83.9440139783205,83.9440139783205,40379.74182999134,715283.7573214769,QQQ_TRANSITION
+2022-01-26,SELL_GRADUAL,QQQ,723,336.8142395019531,243516.6951599121,24.061477932967016,24.061477932967016,283896.43698990345,1018472.5361949205,FEAR_TRANSITION
+2022-01-27,SELL_GRADUAL,QQQ,723,333.4222717285156,241064.3024597168,23.19312861351907,23.19312861351907,524960.7394496202,1011148.2586299181,FEAR_TRANSITION
+2022-01-28,SELL_GRADUAL,QQQ,723,343.8814697265625,248626.3026123047,32.47130624150118,32.47130624150118,773587.0420619249,1026391.1896373034,FEAR_TRANSITION
+2022-01-31,SELL_GRADUAL,QQQ,723,354.8782653808594,256576.98587036133,40.745889513626054,40.745889513626054,1030164.0279322863,1034683.9514399767,FEAR_TRANSITION
+2022-02-02,BUY_GRADUAL,NFLX,601,429.4800109863281,258117.4866027832,46.50000935058783,46.50000935058783,772046.5413295031,1034707.5882998705,GREED_TRANSITION
+2022-02-03,BUY_GRADUAL,PDD,4689,55.130001068115234,258504.57500839233,42.57397684804427,42.57397684804427,513541.9663211107,1020142.6742678881,GREED_TRANSITION
+2022-02-04,BUY_GRADUAL,WBD,8945,28.899999618530273,258510.4965877533,45.75812386485002,45.75812386485002,255031.46973335743,1026385.4142123461,GREED_TRANSITION
+2022-03-03,STOP_LOSS,PDD,4689,45.220001220703125,212036.58572387695,38.78432972132524,38.78432972132524,467068.0554572344,948795.3329497576,VOLATILE_STOCKS
+2022-03-03,BUY_QQQ_STOPLOSS,QQQ,633,334.55621337890625,211774.08306884766,38.78432972132524,38.78432972132524,255293.97238838673,948795.3329497576,VOLATILE_STOCKS
+2022-03-11,STOP_LOSS,WBD,8945,23.989999771118164,214590.54795265198,30.553866333660586,30.553866333660586,469884.5203410387,878854.3637820482,VOLATILE_STOCKS
+2022-03-11,BUY_QQQ_STOPLOSS,QQQ,676,317.09814453125,214358.345703125,30.553866333660586,30.553866333660586,255526.1746379137,878854.3637820482,VOLATILE_STOCKS
+2022-08-16,SELL_GRADUAL,NFLX,151,245.69000244140625,37099.190368652344,75.89323394690028,75.89323394690028,292625.36500656605,833290.0493594408,QQQ_TRANSITION
+2022-08-16,BUY_GRADUAL,QQQ,313,325.8274841308594,101984.00253295898,75.89323394690028,75.89323394690028,190641.36247360706,833290.0493594408,QQQ_TRANSITION
+2022-08-17,SELL_GRADUAL,NFLX,151,241.14999389648438,36413.64907836914,71.95888891502631,71.95888891502631,227055.0115519762,825131.600541234,QQQ_TRANSITION
+2022-08-17,BUY_GRADUAL,QQQ,316,322.1111145019531,101787.11218261719,71.95888891502631,71.95888891502631,125267.89936935902,825131.600541234,QQQ_TRANSITION
+2022-08-18,SELL_GRADUAL,NFLX,151,245.1699981689453,37020.66972351074,72.7643774387154,72.7643774387154,162288.56909286976,827835.9035960436,QQQ_TRANSITION
+2022-08-18,BUY_GRADUAL,QQQ,316,322.8857727050781,102031.90417480469,72.7643774387154,72.7643774387154,60256.66491806507,827835.9035960436,QQQ_TRANSITION
+2022-08-19,SELL_GRADUAL,NFLX,151,241.16000366210938,36415.160552978516,68.48379396098062,68.48379396098062,96671.82547104359,812946.4563647509,QQQ_TRANSITION
+2022-09-26,SELL_GRADUAL,QQQ,564,269.52557373046875,152012.42358398438,25.412070998468074,25.412070998468074,248684.24905502796,706188.6064368486,FEAR_TRANSITION
+2022-09-27,SELL_GRADUAL,QQQ,564,269.6336364746094,152073.3709716797,26.22711815731541,26.22711815731541,400757.62002670765,706398.3756018877,FEAR_TRANSITION
+2022-09-28,SELL_GRADUAL,QQQ,564,274.9972229003906,155098.4337158203,33.21082990012799,33.21082990012799,555856.053742528,712491.662078023,FEAR_TRANSITION
+2022-09-29,SELL_GRADUAL,QQQ,564,267.0697021484375,150627.31201171875,29.27070352396588,29.27070352396588,706483.3657542467,707972.9652472734,FEAR_TRANSITION
+2022-10-03,BUY_GRADUAL,BIIB,669,264.29998779296875,176816.6918334961,32.38063116058547,32.38063116058547,529666.6739207506,707985.9719649553,GREED_TRANSITION
+2022-10-04,BUY_GRADUAL,REGN,239,737.5012817382812,176262.80633544922,42.2918131346582,42.2918131346582,353403.8675853014,710158.7622882128,GREED_TRANSITION
+2022-10-05,BUY_GRADUAL,NFLX,747,236.72999572753906,176837.30680847168,41.52977712655799,41.52977712655799,176566.56077682972,707777.2871772051,GREED_TRANSITION
+2023-02-03,SELL_GRADUAL,BIIB,167,283.6300048828125,47366.21081542969,72.23030348546578,72.23030348546578,223932.7715922594,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,REGN,59,780.97119140625,46077.30029296875,72.23030348546578,72.23030348546578,270010.07188522816,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,NFLX,186,365.8999938964844,68057.3988647461,72.23030348546578,72.23030348546578,338067.47074997425,827954.7001353502,QQQ_TRANSITION
+2023-02-03,BUY_GRADUAL,QQQ,683,301.49395751953125,205920.37298583984,72.23030348546578,72.23030348546578,132147.0977641344,827954.7001353502,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,BIIB,167,288.2799987792969,48142.75979614258,65.34324140803145,65.34324140803145,180289.85756027699,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,REGN,59,778.7074584960938,45943.74005126953,65.34324140803145,65.34324140803145,226233.59761154652,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,NFLX,186,361.4800109863281,67235.28204345703,65.34324140803145,65.34324140803145,293468.87965500355,825630.6798182726,QQQ_TRANSITION
+2023-02-06,BUY_GRADUAL,QQQ,688,298.9436340332031,205673.22021484375,65.34324140803145,65.34324140803145,87795.6594401598,825630.6798182726,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,BIIB,167,291.42999267578125,48668.80877685547,70.27852780807376,70.27852780807376,136464.46821701527,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,REGN,59,767.8175048828125,45301.23278808594,70.27852780807376,70.27852780807376,181765.7010051012,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,NFLX,186,362.95001220703125,67508.70227050781,70.27852780807376,70.27852780807376,249274.40327560902,834460.9118129015,QQQ_TRANSITION
+2023-02-07,BUY_GRADUAL,QQQ,674,305.1373596191406,205662.58038330078,70.27852780807376,70.27852780807376,43611.822892308235,834460.9118129015,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,BIIB,167,285.45001220703125,47670.15203857422,64.43188468733032,64.43188468733032,91281.97493088245,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,REGN,59,747.5934448242188,44108.013244628906,64.43188468733032,64.43188468733032,135389.98817551136,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,NFLX,186,366.8299865722656,68230.3775024414,64.43188468733032,64.43188468733032,203620.36567795277,821817.0054217577,QQQ_TRANSITION
+2023-11-09,STOP_LOSS,BIIB,1,224.64999389648438,224.64999389648438,54.383852658550936,54.383852658550936,203845.01567184925,958229.0677386522,QQQ_HOLD
+2025-04-07,SELL_GRADUAL,QQQ,511,423.2146911621094,216262.7071838379,24.106379703967942,24.106379703967942,420107.72285568714,1075227.2145739794,FEAR_TRANSITION
+2025-04-08,SELL_GRADUAL,QQQ,511,415.59326171875,212368.15673828125,23.47897409359107,23.47897409359107,632475.8795939684,1063446.8414145708,FEAR_TRANSITION
+2025-04-09,SELL_GRADUAL,QQQ,511,465.47723388671875,237858.86651611328,39.00858627592589,39.00858627592589,870334.7461100817,1115042.5140486956,FEAR_TRANSITION
+2025-04-10,SELL_GRADUAL,QQQ,511,445.6794738769531,227742.21115112305,33.96020602504672,33.96020602504672,1098076.9572612047,1104615.0388365984,FEAR_TRANSITION
+2025-04-14,BUY_GRADUAL,MCHP,7155,38.58142852783203,276050.1211166382,37.444908145843534,37.444908145843534,822026.8361445665,1104757.0596286058,GREED_TRANSITION
+2025-04-15,BUY_GRADUAL,WBD,33461,8.25,276053.25,37.75161834264942,37.75161834264942,545973.5861445665,1103806.8776408434,GREED_TRANSITION
+2025-04-16,STOP_LOSS,WBD,33461,7.920000076293945,265011.1225528717,32.4554396374009,32.4554396374009,810984.7086974382,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_QQQ_STOPLOSS,QQQ,597,443.68170166015625,264877.9758911133,32.4554396374009,32.4554396374009,546106.732806325,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_GRADUAL,AMD,3126,88.29000091552734,275994.5428619385,32.4554396374009,32.4554396374009,270112.1899443865,1087112.121976018,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,781,113.51000213623047,88651.311668396,75.62799649436673,75.62799649436673,358763.5016127825,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,1788,60.33309555053711,107875.57484436035,75.62799649436673,75.62799649436673,466639.07645714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,BUY_GRADUAL,QQQ,512,519.6863403320312,266079.40625,75.62799649436673,75.62799649436673,200559.67020714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,AMD,781,112.05999755859375,87518.85809326172,68.96239147283873,68.96239147283873,288078.52830040455,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,1788,58.79499816894531,105125.45672607422,68.96239147283873,68.96239147283873,393203.98502647877,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,520,512.4644165039062,266481.49658203125,68.96239147283873,68.96239147283873,126722.48844444752,1355189.5948916674,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,781,110.70999908447266,86464.50928497314,66.69973135428862,66.69973135428862,213186.99772942066,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,1788,58.04999923706055,103793.39863586426,66.69973135428862,66.69973135428862,316980.3963652849,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,519,513.4234008789062,266466.74505615234,66.69973135428862,66.69973135428862,50513.651309132576,1351925.0433951616,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,781,110.30999755859375,86152.10809326172,62.342179974993726,62.342179974993726,136665.7594023943,1338007.1326247454,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,1788,56.189998626708984,100467.71754455566,62.342179974993726,62.342179974993726,237133.47694694996,1338007.1326247454,QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_191059.csv

@@ -0,0 +1,204 @@
+date,action,ticker,shares,price,value,fg_index,cnn_fear_greed,cash_after,total_assets,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,26.344740247547747,25208.408485412598,100829.48212432861,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,32.93074277910004,50438.458599090576,100939.98748016357,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,28.176976271462404,75174.30255508423,99950.76366043091,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,30.536227836089562,100341.26286697388,100382.58792495728,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,27.300196841810212,75284.4793624878,100381.0167427063,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,20.374689776577714,50221.41002655029,99963.75773239136,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,20.18843039588665,25136.761101722717,98656.10165023804,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,19.14782163420834,51.691829681396484,97151.9062590599,GREED_TRANSITION
+2008-02-20,STOP_LOSS,TMUS,852,24.76690101623535,21101.39966583252,53.87240876697988,53.87240876697988,21153.091495513916,94385.23314976692,VOLATILE_STOCKS
+2008-02-20,BUY_QQQ_STOPLOSS,QQQ,556,37.9323616027832,21090.39305114746,53.87240876697988,53.87240876697988,62.69844436645508,94385.23314976692,VOLATILE_STOCKS
+2008-02-28,STOP_LOSS,DXCM,11274,1.8849999904632568,21251.489892482758,50.39006293843006,50.39006293843006,21314.188336849213,94275.87118148804,VOLATILE_STOCKS
+2008-02-28,BUY_QQQ_STOPLOSS,QQQ,557,38.087764739990234,21214.88496017456,50.39006293843006,50.39006293843006,99.3033766746521,94275.87118148804,VOLATILE_STOCKS
+2008-04-25,STOP_LOSS,SBUX,3549,6.004380226135254,21309.545422554016,69.45714736367935,69.45714736367935,21408.84879922867,95417.57655572891,VOLATILE_STOCKS
+2008-04-25,BUY_QQQ_STOPLOSS,QQQ,523,40.73530578613281,21304.56492614746,69.45714736367935,69.45714736367935,104.28387308120728,95417.57655572891,VOLATILE_STOCKS
+2008-10-09,STOP_LOSS,ILMN,745,28.21011734008789,21016.53741836548,8.848037539825762,8.848037539825762,21120.821291446686,65760.3383011818,VOLATILE_STOCKS
+2008-10-09,BUY_QQQ_STOPLOSS,QQQ,770,27.269100189208984,20997.207145690918,8.848037539825762,8.848037539825762,123.61414575576782,65760.3383011818,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,75.86377868118474,93.22290468215942,73275.33140993118,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,82.3309806574607,62.822975635528564,73296.25204896927,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,77.63068795156485,33.13467836380005,71581.93110322952,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,75.32780647633614,3.429028034210205,71623.75197267532,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,602,40.003875732421875,24082.33319091797,33.580788922696,33.580788922696,24085.76221895218,96452.77341890335,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,602,39.7684211730957,23940.589546203613,33.34027831701036,33.34027831701036,48026.35176515579,96026.8361210823,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,602,39.40214920043945,23720.09381866455,27.283331291968164,27.283331291968164,71746.44558382034,95584.74585008621,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,602,40.335304260253906,24281.85316467285,37.67628312195878,37.67628312195878,96028.2987484932,96149.30466127396,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2705,8.87330436706543,24002.288312911987,36.8189871507287,36.8189871507287,72026.0104355812,96146.26974534988,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1539,15.59428596496582,23999.606100082397,35.18107991239285,35.18107991239285,48026.40433549881,95899.19834947586,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1793,13.38446044921875,23998.33758544922,33.88560765938214,33.88560765938214,24028.06675004959,95666.38539934158,GREED_TRANSITION
+2010-06-09,STOP_LOSS,TMUS,1793,13.38446044921875,23998.33758544922,33.40896140370173,33.40896140370173,48026.40433549881,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_QQQ_STOPLOSS,QQQ,627,38.216064453125,23961.472412109375,33.40896140370173,33.40896140370173,24064.931923389435,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_GRADUAL,LULU,1227,19.549999237060547,23987.84906387329,33.40896140370173,33.40896140370173,77.0828595161438,97031.60623884201,GREED_TRANSITION
+2010-08-30,STOP_LOSS,LULU,1227,15.949999809265137,19570.649765968323,31.110758231093467,31.110758231093467,19647.732625484467,94277.94799089432,VOLATILE_STOCKS
+2010-08-30,BUY_QQQ_STOPLOSS,QQQ,512,38.179931640625,19548.125,31.110758231093467,31.110758231093467,99.60762548446655,94277.94799089432,VOLATILE_STOCKS
+2010-11-04,SELL_GRADUAL,SIRI,676,13.309956550598145,8997.530628204346,79.52490444098007,79.52490444098007,9097.138253688812,126784.62676095963,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,NFLX,384,23.974285125732422,9206.12548828125,79.52490444098007,79.52490444098007,18303.263741970062,126784.62676095963,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,SIRI,676,13.85322093963623,9364.777355194092,80.12015594534758,80.12015594534758,27668.041097164154,127933.11126375198,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,NFLX,384,24.014286041259766,9221.48583984375,80.12015594534758,80.12015594534758,36889.526937007904,127933.11126375198,QQQ_TRANSITION
+2010-11-05,BUY_GRADUAL,QQQ,404,47.09733963012695,19027.32521057129,80.12015594534758,80.12015594534758,17862.201726436615,127933.11126375198,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,SIRI,676,14.034306526184082,9487.19121170044,78.02954261077275,78.02954261077275,27349.392938137054,128386.55824708939,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,NFLX,384,24.161428451538086,9277.988525390625,78.02954261077275,78.02954261077275,36627.38146352768,128386.55824708939,QQQ_TRANSITION
+2010-11-08,BUY_GRADUAL,QQQ,404,47.158782958984375,19052.148315429688,78.02954261077275,78.02954261077275,17575.233148097992,128386.55824708939,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,SIRI,676,13.491044044494629,9119.94577407837,74.24305370136257,74.24305370136257,26695.17892217636,127596.0518898964,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,NFLX,384,24.351428985595703,9350.94873046875,74.24305370136257,74.24305370136257,36046.12765264511,127596.0518898964,QQQ_TRANSITION
+2010-11-09,BUY_GRADUAL,QQQ,406,46.904296875,19043.14453125,74.24305370136257,74.24305370136257,17002.98312139511,127596.0518898964,QQQ_TRANSITION
+2011-08-05,SELL_GRADUAL,QQQ,589,47.504486083984375,27980.142303466797,16.014420438739027,16.014420438739027,44983.12542486191,129043.9979929924,FEAR_TRANSITION
+2011-08-08,SELL_GRADUAL,QQQ,589,44.64522171020508,26296.03558731079,12.102638620949758,12.102638620949758,71279.1610121727,123983.30336236954,FEAR_TRANSITION
+2011-08-09,SELL_GRADUAL,QQQ,589,46.798492431640625,27564.312042236328,21.243367458738685,21.243367458738685,98843.47305440903,126525.99728345871,FEAR_TRANSITION
+2011-08-10,SELL_GRADUAL,QQQ,589,44.88348388671875,26436.372009277344,16.34997696820296,16.34997696820296,125279.84506368637,125395.11773633957,FEAR_TRANSITION
+2011-08-16,BUY_GRADUAL,AMD,4944,6.340000152587891,31344.96075439453,27.713133229401997,27.713133229401997,93934.88430929184,125399.58466482162,GREED_TRANSITION
+2011-08-17,BUY_GRADUAL,DXCM,11087,2.827500104904175,31348.493663072586,27.444352198857068,27.444352198857068,62586.39064621925,124407.95951032639,GREED_TRANSITION
+2011-08-18,BUY_GRADUAL,ILMN,684,45.81711959838867,31338.90980529785,21.352782610275447,21.352782610275447,31247.480840921402,121090.06735396385,GREED_TRANSITION
+2011-09-29,STOP_LOSS,AMD,4944,5.309999942779541,26252.63971710205,35.52057049214211,35.52057049214211,57500.12055802345,119987.04083824158,VOLATILE_STOCKS
+2011-09-29,BUY_QQQ_STOPLOSS,QQQ,551,47.63679122924805,26247.871967315674,35.52057049214211,35.52057049214211,31252.24859070778,119987.04083824158,VOLATILE_STOCKS
+2011-10-07,STOP_LOSS,ILMN,684,26.43968963623047,18084.74771118164,45.948970380647914,45.948970380647914,49336.99630188942,106507.84904646873,VOLATILE_STOCKS
+2011-10-07,BUY_QQQ_STOPLOSS,QQQ,378,47.80477523803711,18070.205039978027,45.948970380647914,45.948970380647914,31266.791261911392,106507.84904646873,VOLATILE_STOCKS
+2011-10-25,STOP_LOSS,NFLX,3,11.052857398986816,33.15857219696045,57.64810056650888,57.64810056650888,31299.949834108353,107460.6527273655,VOLATILE_STOCKS
+2011-11-03,STOP_LOSS,DXCM,11087,1.9674999713897705,21813.672182798386,63.392430604527135,63.392430604527135,53113.62201690674,100849.260140419,VOLATILE_STOCKS
+2011-11-03,BUY_QQQ_STOPLOSS,QQQ,424,51.36781311035156,21779.952758789062,63.392430604527135,63.392430604527135,31333.669258117676,100849.260140419,VOLATILE_STOCKS
+2012-01-20,BUY_GRADUAL,QQQ,147,53.046531677246094,7797.840156555176,76.11690483789968,76.11690483789968,23535.8291015625,103124.6408443451,QQQ_TRANSITION
+2012-01-23,BUY_GRADUAL,QQQ,147,53.06429672241211,7800.45161819458,75.47387743828742,75.47387743828742,15735.37748336792,103151.28841209412,QQQ_TRANSITION
+2012-01-24,BUY_GRADUAL,QQQ,147,52.966651916503906,7786.097831726074,73.6603345892624,73.6603345892624,7949.279651641846,102990.28632545471,QQQ_TRANSITION
+2012-01-25,BUY_GRADUAL,QQQ,146,53.63228988647461,7830.314323425293,74.7347021654166,74.7347021654166,118.96532821655273,104184.44084358215,QQQ_TRANSITION
+2012-05-21,SELL_GRADUAL,QQQ,485,55.57248306274414,26952.65428543091,33.89789007404509,33.89789007404509,27071.61961364746,107947.51016616821,FEAR_TRANSITION
+2012-05-22,SELL_GRADUAL,QQQ,485,55.51026153564453,26922.476844787598,34.48360680185137,34.48360680185137,53994.09645843506,107856.79675674438,FEAR_TRANSITION
+2012-05-23,SELL_GRADUAL,QQQ,485,55.616939544677734,26974.2156791687,33.07033492791181,33.07033492791181,80968.31213760376,107960.54605484009,FEAR_TRANSITION
+2012-05-24,SELL_GRADUAL,QQQ,485,55.252464294433594,26797.445182800293,32.19709993260843,32.19709993260843,107765.75732040405,107783.77555847168,FEAR_TRANSITION
+2012-05-29,BUY_GRADUAL,VRTX,466,57.79999923706055,26934.799644470215,39.29817121538365,39.29817121538365,80830.95767593384,107783.23229789734,GREED_TRANSITION
+2012-05-30,BUY_GRADUAL,NXPI,1395,19.306720733642578,26932.875423431396,32.69376088195683,32.69376088195683,53898.08225250244,108891.95061683655,GREED_TRANSITION
+2012-05-31,BUY_GRADUAL,REGN,199,135.27606201171875,26919.93634033203,34.05046977820416,34.05046977820416,26978.14591217041,108301.30829811096,GREED_TRANSITION
+2012-06-01,BUY_GRADUAL,MNST,2291,11.756667137145996,26934.524411201477,27.26748930164401,27.26748930164401,43.621500968933105,103624.71716690063,GREED_TRANSITION
+2012-06-13,STOP_LOSS,REGN,199,111.57158660888672,22202.745735168457,43.66172453295675,43.66172453295675,22246.36723613739,101613.35444641113,VOLATILE_STOCKS
+2012-06-13,BUY_QQQ_STOPLOSS,QQQ,401,55.23466491699219,22149.100631713867,43.66172453295675,43.66172453295675,97.26660442352295,101613.35444641113,VOLATILE_STOCKS
+2012-07-24,STOP_LOSS,VRTX,466,48.369998931884766,22540.4195022583,50.83486055819301,50.83486055819301,22637.686106681824,98436.31856536865,VOLATILE_STOCKS
+2012-07-24,BUY_QQQ_STOPLOSS,QQQ,401,56.101200103759766,22496.581241607666,50.83486055819301,50.83486055819301,141.10486507415771,98436.31856536865,VOLATILE_STOCKS
+2012-08-10,STOP_LOSS,MNST,2291,9.045000076293945,20722.09517478943,62.38576286447885,62.38576286447885,20863.200039863586,99013.82264232635,VOLATILE_STOCKS
+2012-08-10,BUY_QQQ_STOPLOSS,QQQ,347,59.57632827758789,20672.985912322998,62.38576286447885,62.38576286447885,190.21412754058838,99013.82264232635,VOLATILE_STOCKS
+2013-01-24,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,75.13424844525217,75.13424844525217,9399.225060462952,105958.42475414276,QQQ_TRANSITION
+2013-01-24,BUY_GRADUAL,QQQ,154,59.8992919921875,9224.490966796875,75.13424844525217,75.13424844525217,174.73409366607666,105958.42475414276,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,NXPI,348,26.98277473449707,9390.00560760498,76.59616542938397,76.59616542938397,9564.739701271057,106901.63360309601,QQQ_TRANSITION
+2013-01-25,BUY_GRADUAL,QQQ,154,60.20482635498047,9271.543258666992,76.59616542938397,76.59616542938397,293.19644260406494,106901.63360309601,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,NXPI,348,27.350439071655273,9517.952796936035,75.72095442961731,75.72095442961731,9811.1492395401,107355.00672245026,QQQ_TRANSITION
+2013-01-28,BUY_GRADUAL,QQQ,153,60.33960723876953,9231.959907531738,75.72095442961731,75.72095442961731,579.1893320083618,107355.00672245026,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,76.8305936279351,76.8305936279351,9788.200264930725,107057.6746263504,QQQ_TRANSITION
+2013-01-29,BUY_GRADUAL,QQQ,153,60.34858703613281,9233.33381652832,76.8305936279351,76.8305936279351,554.8664484024048,107057.6746263504,QQQ_TRANSITION
+2015-08-25,SELL_GRADUAL,QQQ,440,90.95682525634766,40021.00311279297,18.64332792812587,18.64332792812587,40575.86956119537,161162.6973810196,FEAR_TRANSITION
+2015-08-26,SELL_GRADUAL,QQQ,440,95.53759002685547,42036.539611816406,30.238674126890754,30.238674126890754,82612.40917301178,167235.12405109406,FEAR_TRANSITION
+2015-08-27,SELL_GRADUAL,QQQ,440,97.9577865600586,43101.42608642578,36.72325111888732,36.72325111888732,125713.83525943756,169377.16119861603,FEAR_TRANSITION
+2015-08-28,SELL_GRADUAL,QQQ,440,97.93927001953125,43093.27880859375,36.806462475332836,36.806462475332836,168807.1140680313,169369.56935214996,FEAR_TRANSITION
+2015-09-01,BUY_GRADUAL,NFLX,399,105.79000091552734,42210.21036529541,29.162017163513145,29.162017163513145,126596.9037027359,169343.05567264557,GREED_TRANSITION
+2015-09-02,BUY_GRADUAL,NVDA,78306,0.5397700667381287,42267.2348459959,33.786594185558485,33.786594185558485,84329.66885674,169220.09294605255,GREED_TRANSITION
+2015-09-03,BUY_GRADUAL,MU,2608,16.203489303588867,42258.700103759766,35.8957291289263,35.8957291289263,42070.96875298023,167587.2710660696,GREED_TRANSITION
+2015-09-28,STOP_LOSS,MU,2608,13.732434272766113,35814.18858337402,29.287423364584594,29.287423364584594,77885.15733635426,162450.1579028368,VOLATILE_STOCKS
+2015-09-28,BUY_QQQ_STOPLOSS,QQQ,385,92.94425964355469,35783.539962768555,29.287423364584594,29.287423364584594,42101.6173735857,162450.1579028368,VOLATILE_STOCKS
+2017-02-16,SELL_GRADUAL,NFLX,99,142.00999450683594,14058.989456176758,74.18422120605587,74.18422120605587,56160.60682976246,353212.2857557535,QQQ_TRANSITION
+2017-02-16,SELL_GRADUAL,NVDA,19576,2.6415488719940186,51710.96071815491,74.18422120605587,74.18422120605587,107871.56754791737,353212.2857557535,QQQ_TRANSITION
+2017-02-16,BUY_GRADUAL,QQQ,634,121.85171508789062,77253.98736572266,74.18422120605587,74.18422120605587,30617.58018219471,353212.2857557535,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NFLX,99,142.22000122070312,14079.78012084961,73.85576423075787,73.85576423075787,44697.36030304432,353785.95212614536,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NVDA,19576,2.641056776046753,51701.327447891235,73.85576423075787,73.85576423075787,96398.68775093555,353785.95212614536,QQQ_TRANSITION
+2017-02-17,BUY_GRADUAL,QQQ,632,122.37963104248047,77343.92681884766,73.85576423075787,73.85576423075787,19054.7609320879,353785.95212614536,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NFLX,99,142.60000610351562,14117.400604248047,76.26775225821572,76.26775225821572,33172.161536335945,358564.9443079233,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NVDA,19576,2.73563551902771,53552.80092048645,76.26775225821572,76.26775225821572,86724.9624568224,358564.9443079233,QQQ_TRANSITION
+2017-02-21,BUY_GRADUAL,QQQ,628,122.98302459716797,77233.33944702148,76.26775225821572,76.26775225821572,9491.623009800911,358564.9443079233,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NFLX,99,143.86000061035156,14242.140060424805,74.96778290840957,74.96778290840957,23733.763070225716,358720.1136442423,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NVDA,19576,2.7314422130584717,53470.71276283264,74.96778290840957,74.96778290840957,77204.47583305836,358720.1136442423,QQQ_TRANSITION
+2018-12-18,SELL_GRADUAL,QQQ,570,151.55323791503906,86385.34561157227,24.442533177764215,24.442533177764215,163589.82144463062,424134.49860584736,FEAR_TRANSITION
+2018-12-19,SELL_GRADUAL,QQQ,570,147.8318328857422,84264.14474487305,22.796729661345402,22.796729661345402,247853.96618950367,417733.8956876993,FEAR_TRANSITION
+2018-12-20,SELL_GRADUAL,QQQ,570,145.68890380859375,83042.67517089844,22.299659882587015,22.299659882587015,330896.6413604021,415268.4574147463,FEAR_TRANSITION
+2018-12-21,SELL_GRADUAL,QQQ,570,141.17352294921875,80468.90808105469,19.58576040567819,19.58576040567819,411365.5494414568,412635.6761728525,FEAR_TRANSITION
+2018-12-27,BUY_GRADUAL,ZS,2566,40.16999816894531,103076.21530151367,27.938844950891582,27.938844950891582,308289.3341399431,412683.14164316654,GREED_TRANSITION
+2018-12-28,BUY_GRADUAL,AMD,5785,17.81999969482422,103088.6982345581,26.23355835507341,26.23355835507341,205200.63590538502,411732.7498089075,GREED_TRANSITION
+2018-12-31,BUY_GRADUAL,MDB,1231,83.73999786376953,103083.9373703003,30.089955926210273,30.089955926210273,102116.69853508472,413961.4327007532,GREED_TRANSITION
+2019-04-24,SELL_GRADUAL,ZS,641,64.98999786376953,41658.58863067627,74.73809260902496,74.73809260902496,143775.287165761,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1446,28.459999084472656,41153.15867614746,74.73809260902496,74.73809260902496,184928.44584190845,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,MDB,307,135.16000366210938,41494.12112426758,74.73809260902496,74.73809260902496,226422.56696617603,601725.5841990709,QQQ_TRANSITION
+2019-04-24,BUY_GRADUAL,QQQ,825,182.33738708496094,150428.34434509277,74.73809260902496,74.73809260902496,75994.22262108326,601725.5841990709,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,ZS,641,66.95999908447266,42921.35941314697,74.47201415715975,74.47201415715975,118915.58203423023,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,AMD,1446,27.65999984741211,39996.35977935791,74.47201415715975,74.47201415715975,158911.94181358814,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,MDB,307,137.66000366210938,42261.62112426758,74.47201415715975,74.47201415715975,201173.56293785572,604944.3393937349,QQQ_TRANSITION
+2019-04-25,BUY_GRADUAL,QQQ,822,183.07749938964844,150489.70449829102,74.47201415715975,74.47201415715975,50683.858439564705,604944.3393937349,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,ZS,641,66.94000244140625,42908.541564941406,74.04664446450204,74.04664446450204,93592.40000450611,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,AMD,1446,27.8799991607666,40314.478786468506,74.04664446450204,74.04664446450204,133906.87879097462,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,MDB,307,138.97999572753906,42666.85868835449,74.04664446450204,74.04664446450204,176573.7374793291,606662.1562358141,QQQ_TRANSITION
+2019-04-26,BUY_GRADUAL,QQQ,821,183.2408905029297,150440.77110290527,74.04664446450204,74.04664446450204,26132.966376423836,606662.1562358141,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,ZS,641,68.19999694824219,43716.19804382324,74.33985266042214,74.33985266042214,69849.16442024708,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,AMD,1446,27.690000534057617,40039.740772247314,74.33985266042214,74.33985266042214,109888.90519249439,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,MDB,307,137.5,42212.5,74.33985266042214,74.33985266042214,152101.4051924944,607605.7671710253,QQQ_TRANSITION
+2019-04-29,BUY_GRADUAL,QQQ,820,183.5964813232422,150549.1146850586,74.33985266042214,74.33985266042214,1552.2905074357986,607605.7671710253,QQQ_TRANSITION
+2020-02-28,SELL_GRADUAL,QQQ,822,199.0699005126953,163635.45822143555,20.377945426333802,20.377945426333802,165187.74872887135,658590.0816584826,FEAR_TRANSITION
+2020-03-02,SELL_GRADUAL,QQQ,822,209.34254455566406,172079.57162475586,36.64935574118489,36.64935574118489,337267.3203536272,684011.7751408815,FEAR_TRANSITION
+2020-03-03,SELL_GRADUAL,QQQ,822,202.62953186035156,166561.47518920898,29.173017969864834,29.173017969864834,503828.7955428362,672909.4515925646,FEAR_TRANSITION
+2020-03-04,SELL_GRADUAL,QQQ,822,211.08370971679688,173510.80938720703,37.762293269698624,37.762293269698624,677339.6049300432,679956.120731473,FEAR_TRANSITION
+2020-03-06,BUY_GRADUAL,MRNA,5736,29.610000610351562,169842.96350097656,24.79777800648001,24.79777800648001,507496.64142906666,679825.6721946001,GREED_TRANSITION
+2020-03-09,STOP_LOSS,MRNA,5736,24.290000915527344,139327.44525146484,16.994433907313056,16.994433907313056,646824.0866805315,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_QQQ_STOPLOSS,QQQ,744,187.23983764648438,139306.43920898438,16.994433907313056,16.994433907313056,507517.6474715471,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_GRADUAL,TSLA,4190,40.53333282470703,169834.66453552246,16.994433907313056,16.994433907313056,337682.98293602467,649100.3950177431,GREED_TRANSITION
+2020-03-10,BUY_GRADUAL,MRVL,7509,22.620569229125977,169857.85434150696,24.7215849676679,24.7215849676679,167825.1285945177,667229.5989590883,GREED_TRANSITION
+2020-03-12,STOP_LOSS,MRVL,7509,19.063262939453125,143146.04141235352,17.297952141169375,17.297952141169375,310971.1700068712,597219.0562878847,VOLATILE_STOCKS
+2020-03-12,BUY_QQQ_STOPLOSS,QQQ,834,171.52120971679688,143048.6889038086,17.297952141169375,17.297952141169375,167922.48110306263,597219.0562878847,VOLATILE_STOCKS
+2020-03-16,STOP_LOSS,TSLA,4190,29.67133331298828,124322.8865814209,19.126240915184,19.126240915184,292245.3676844835,552585.3837367296,VOLATILE_STOCKS
+2020-03-16,BUY_QQQ_STOPLOSS,QQQ,759,163.7635040283203,124296.49955749512,19.126240915184,19.126240915184,167948.8681269884,552585.3837367296,VOLATILE_STOCKS
+2020-06-03,BUY_GRADUAL,QQQ,185,229.43759155273438,42445.95443725586,78.64383713986213,78.64383713986213,125502.91368973255,707212.8291083574,QQQ_TRANSITION
+2020-06-04,BUY_GRADUAL,QQQ,187,227.82846069335938,42603.9221496582,79.05391554632061,79.05391554632061,82898.99154007435,703082.4960223436,QQQ_TRANSITION
+2020-06-05,BUY_GRADUAL,QQQ,183,232.3456268310547,42519.24971008301,83.9440139783205,83.9440139783205,40379.74182999134,715283.7573214769,QQQ_TRANSITION
+2022-01-26,SELL_GRADUAL,QQQ,723,336.8142395019531,243516.6951599121,24.061477932967016,24.061477932967016,283896.43698990345,1018472.5361949205,FEAR_TRANSITION
+2022-01-27,SELL_GRADUAL,QQQ,723,333.4222717285156,241064.3024597168,23.19312861351907,23.19312861351907,524960.7394496202,1011148.2586299181,FEAR_TRANSITION
+2022-01-28,SELL_GRADUAL,QQQ,723,343.8814697265625,248626.3026123047,32.47130624150118,32.47130624150118,773587.0420619249,1026391.1896373034,FEAR_TRANSITION
+2022-01-31,SELL_GRADUAL,QQQ,723,354.8782653808594,256576.98587036133,40.745889513626054,40.745889513626054,1030164.0279322863,1034683.9514399767,FEAR_TRANSITION
+2022-02-02,BUY_GRADUAL,NFLX,601,429.4800109863281,258117.4866027832,46.50000935058783,46.50000935058783,772046.5413295031,1034707.5882998705,GREED_TRANSITION
+2022-02-03,BUY_GRADUAL,PDD,4689,55.130001068115234,258504.57500839233,42.57397684804427,42.57397684804427,513541.9663211107,1020142.6742678881,GREED_TRANSITION
+2022-02-04,BUY_GRADUAL,WBD,8945,28.899999618530273,258510.4965877533,45.75812386485002,45.75812386485002,255031.46973335743,1026385.4142123461,GREED_TRANSITION
+2022-03-03,STOP_LOSS,PDD,4689,45.220001220703125,212036.58572387695,38.78432972132524,38.78432972132524,467068.0554572344,948795.3329497576,VOLATILE_STOCKS
+2022-03-03,BUY_QQQ_STOPLOSS,QQQ,633,334.55621337890625,211774.08306884766,38.78432972132524,38.78432972132524,255293.97238838673,948795.3329497576,VOLATILE_STOCKS
+2022-03-11,STOP_LOSS,WBD,8945,23.989999771118164,214590.54795265198,30.553866333660586,30.553866333660586,469884.5203410387,878854.3637820482,VOLATILE_STOCKS
+2022-03-11,BUY_QQQ_STOPLOSS,QQQ,676,317.09814453125,214358.345703125,30.553866333660586,30.553866333660586,255526.1746379137,878854.3637820482,VOLATILE_STOCKS
+2022-08-16,SELL_GRADUAL,NFLX,151,245.69000244140625,37099.190368652344,75.89323394690028,75.89323394690028,292625.36500656605,833290.0493594408,QQQ_TRANSITION
+2022-08-16,BUY_GRADUAL,QQQ,313,325.8274841308594,101984.00253295898,75.89323394690028,75.89323394690028,190641.36247360706,833290.0493594408,QQQ_TRANSITION
+2022-08-17,SELL_GRADUAL,NFLX,151,241.14999389648438,36413.64907836914,71.95888891502631,71.95888891502631,227055.0115519762,825131.600541234,QQQ_TRANSITION
+2022-08-17,BUY_GRADUAL,QQQ,316,322.1111145019531,101787.11218261719,71.95888891502631,71.95888891502631,125267.89936935902,825131.600541234,QQQ_TRANSITION
+2022-08-18,SELL_GRADUAL,NFLX,151,245.1699981689453,37020.66972351074,72.7643774387154,72.7643774387154,162288.56909286976,827835.9035960436,QQQ_TRANSITION
+2022-08-18,BUY_GRADUAL,QQQ,316,322.8857727050781,102031.90417480469,72.7643774387154,72.7643774387154,60256.66491806507,827835.9035960436,QQQ_TRANSITION
+2022-08-19,SELL_GRADUAL,NFLX,151,241.16000366210938,36415.160552978516,68.48379396098062,68.48379396098062,96671.82547104359,812946.4563647509,QQQ_TRANSITION
+2022-09-26,SELL_GRADUAL,QQQ,564,269.52557373046875,152012.42358398438,25.412070998468074,25.412070998468074,248684.24905502796,706188.6064368486,FEAR_TRANSITION
+2022-09-27,SELL_GRADUAL,QQQ,564,269.6336364746094,152073.3709716797,26.22711815731541,26.22711815731541,400757.62002670765,706398.3756018877,FEAR_TRANSITION
+2022-09-28,SELL_GRADUAL,QQQ,564,274.9972229003906,155098.4337158203,33.21082990012799,33.21082990012799,555856.053742528,712491.662078023,FEAR_TRANSITION
+2022-09-29,SELL_GRADUAL,QQQ,564,267.0697021484375,150627.31201171875,29.27070352396588,29.27070352396588,706483.3657542467,707972.9652472734,FEAR_TRANSITION
+2022-10-03,BUY_GRADUAL,BIIB,669,264.29998779296875,176816.6918334961,32.38063116058547,32.38063116058547,529666.6739207506,707985.9719649553,GREED_TRANSITION
+2022-10-04,BUY_GRADUAL,REGN,239,737.5012817382812,176262.80633544922,42.2918131346582,42.2918131346582,353403.8675853014,710158.7622882128,GREED_TRANSITION
+2022-10-05,BUY_GRADUAL,NFLX,747,236.72999572753906,176837.30680847168,41.52977712655799,41.52977712655799,176566.56077682972,707777.2871772051,GREED_TRANSITION
+2023-02-03,SELL_GRADUAL,BIIB,167,283.6300048828125,47366.21081542969,72.23030348546578,72.23030348546578,223932.7715922594,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,REGN,59,780.97119140625,46077.30029296875,72.23030348546578,72.23030348546578,270010.07188522816,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,NFLX,186,365.8999938964844,68057.3988647461,72.23030348546578,72.23030348546578,338067.47074997425,827954.7001353502,QQQ_TRANSITION
+2023-02-03,BUY_GRADUAL,QQQ,683,301.49395751953125,205920.37298583984,72.23030348546578,72.23030348546578,132147.0977641344,827954.7001353502,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,BIIB,167,288.2799987792969,48142.75979614258,65.34324140803145,65.34324140803145,180289.85756027699,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,REGN,59,778.7074584960938,45943.74005126953,65.34324140803145,65.34324140803145,226233.59761154652,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,NFLX,186,361.4800109863281,67235.28204345703,65.34324140803145,65.34324140803145,293468.87965500355,825630.6798182726,QQQ_TRANSITION
+2023-02-06,BUY_GRADUAL,QQQ,688,298.9436340332031,205673.22021484375,65.34324140803145,65.34324140803145,87795.6594401598,825630.6798182726,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,BIIB,167,291.42999267578125,48668.80877685547,70.27852780807376,70.27852780807376,136464.46821701527,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,REGN,59,767.8175048828125,45301.23278808594,70.27852780807376,70.27852780807376,181765.7010051012,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,NFLX,186,362.95001220703125,67508.70227050781,70.27852780807376,70.27852780807376,249274.40327560902,834460.9118129015,QQQ_TRANSITION
+2023-02-07,BUY_GRADUAL,QQQ,674,305.1373596191406,205662.58038330078,70.27852780807376,70.27852780807376,43611.822892308235,834460.9118129015,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,BIIB,167,285.45001220703125,47670.15203857422,64.43188468733032,64.43188468733032,91281.97493088245,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,REGN,59,747.5934448242188,44108.013244628906,64.43188468733032,64.43188468733032,135389.98817551136,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,NFLX,186,366.8299865722656,68230.3775024414,64.43188468733032,64.43188468733032,203620.36567795277,821817.0054217577,QQQ_TRANSITION
+2023-11-09,STOP_LOSS,BIIB,1,224.64999389648438,224.64999389648438,54.383852658550936,54.383852658550936,203845.01567184925,958229.0677386522,QQQ_HOLD
+2025-04-07,SELL_GRADUAL,QQQ,511,423.2146911621094,216262.7071838379,24.106379703967942,24.106379703967942,420107.72285568714,1075227.2145739794,FEAR_TRANSITION
+2025-04-08,SELL_GRADUAL,QQQ,511,415.59326171875,212368.15673828125,23.47897409359107,23.47897409359107,632475.8795939684,1063446.8414145708,FEAR_TRANSITION
+2025-04-09,SELL_GRADUAL,QQQ,511,465.47723388671875,237858.86651611328,39.00858627592589,39.00858627592589,870334.7461100817,1115042.5140486956,FEAR_TRANSITION
+2025-04-10,SELL_GRADUAL,QQQ,511,445.6794738769531,227742.21115112305,33.96020602504672,33.96020602504672,1098076.9572612047,1104615.0388365984,FEAR_TRANSITION
+2025-04-14,BUY_GRADUAL,MCHP,7155,38.58142852783203,276050.1211166382,37.444908145843534,37.444908145843534,822026.8361445665,1104757.0596286058,GREED_TRANSITION
+2025-04-15,BUY_GRADUAL,WBD,33461,8.25,276053.25,37.75161834264942,37.75161834264942,545973.5861445665,1103806.8776408434,GREED_TRANSITION
+2025-04-16,STOP_LOSS,WBD,33461,7.920000076293945,265011.1225528717,32.4554396374009,32.4554396374009,810984.7086974382,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_QQQ_STOPLOSS,QQQ,597,443.68170166015625,264877.9758911133,32.4554396374009,32.4554396374009,546106.732806325,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_GRADUAL,AMD,3126,88.29000091552734,275994.5428619385,32.4554396374009,32.4554396374009,270112.1899443865,1087112.121976018,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,781,113.51000213623047,88651.311668396,75.62799649436673,75.62799649436673,358763.5016127825,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,1788,60.33309555053711,107875.57484436035,75.62799649436673,75.62799649436673,466639.07645714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,BUY_GRADUAL,QQQ,512,519.6863403320312,266079.40625,75.62799649436673,75.62799649436673,200559.67020714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,AMD,781,112.05999755859375,87518.85809326172,68.96239147283873,68.96239147283873,288078.52830040455,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,1788,58.79499816894531,105125.45672607422,68.96239147283873,68.96239147283873,393203.98502647877,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,520,512.4644165039062,266481.49658203125,68.96239147283873,68.96239147283873,126722.48844444752,1355189.5948916674,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,781,110.70999908447266,86464.50928497314,66.69973135428862,66.69973135428862,213186.99772942066,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,1788,58.04999923706055,103793.39863586426,66.69973135428862,66.69973135428862,316980.3963652849,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,519,513.4234008789062,266466.74505615234,66.69973135428862,66.69973135428862,50513.651309132576,1351925.0433951616,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,781,110.30999755859375,86152.10809326172,62.342179974993726,62.342179974993726,136665.7594023943,1338007.1326247454,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,1788,56.189998626708984,100467.71754455566,62.342179974993726,62.342179974993726,237133.47694694996,1338007.1326247454,QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_192206.csv

@@ -0,0 +1,204 @@
+date,action,ticker,shares,price,value,fg_index,cnn_fear_greed,cash_after,total_assets,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,26.344740247547747,25208.408485412598,100829.48212432861,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,32.93074277910004,50438.458599090576,100939.98748016357,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,28.176976271462404,75174.30255508423,99950.76366043091,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,30.536227836089562,100341.26286697388,100382.58792495728,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,27.300196841810212,75284.4793624878,100381.0167427063,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,20.374689776577714,50221.41002655029,99963.75773239136,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,20.18843039588665,25136.761101722717,98656.10165023804,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,19.14782163420834,51.691829681396484,97151.9062590599,GREED_TRANSITION
+2008-02-20,STOP_LOSS,TMUS,852,24.76690101623535,21101.39966583252,53.87240876697988,53.87240876697988,21153.091495513916,94385.23314976692,VOLATILE_STOCKS
+2008-02-20,BUY_QQQ_STOPLOSS,QQQ,556,37.9323616027832,21090.39305114746,53.87240876697988,53.87240876697988,62.69844436645508,94385.23314976692,VOLATILE_STOCKS
+2008-02-28,STOP_LOSS,DXCM,11274,1.8849999904632568,21251.489892482758,50.39006293843006,50.39006293843006,21314.188336849213,94275.87118148804,VOLATILE_STOCKS
+2008-02-28,BUY_QQQ_STOPLOSS,QQQ,557,38.087764739990234,21214.88496017456,50.39006293843006,50.39006293843006,99.3033766746521,94275.87118148804,VOLATILE_STOCKS
+2008-04-25,STOP_LOSS,SBUX,3549,6.004380226135254,21309.545422554016,69.45714736367935,69.45714736367935,21408.84879922867,95417.57655572891,VOLATILE_STOCKS
+2008-04-25,BUY_QQQ_STOPLOSS,QQQ,523,40.73530578613281,21304.56492614746,69.45714736367935,69.45714736367935,104.28387308120728,95417.57655572891,VOLATILE_STOCKS
+2008-10-09,STOP_LOSS,ILMN,745,28.21011734008789,21016.53741836548,8.848037539825762,8.848037539825762,21120.821291446686,65760.3383011818,VOLATILE_STOCKS
+2008-10-09,BUY_QQQ_STOPLOSS,QQQ,770,27.269100189208984,20997.207145690918,8.848037539825762,8.848037539825762,123.61414575576782,65760.3383011818,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,75.86377868118474,93.22290468215942,73275.33140993118,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,82.3309806574607,62.822975635528564,73296.25204896927,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,77.63068795156485,33.13467836380005,71581.93110322952,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,75.32780647633614,3.429028034210205,71623.75197267532,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,602,40.003875732421875,24082.33319091797,33.580788922696,33.580788922696,24085.76221895218,96452.77341890335,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,602,39.7684211730957,23940.589546203613,33.34027831701036,33.34027831701036,48026.35176515579,96026.8361210823,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,602,39.40214920043945,23720.09381866455,27.283331291968164,27.283331291968164,71746.44558382034,95584.74585008621,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,602,40.335304260253906,24281.85316467285,37.67628312195878,37.67628312195878,96028.2987484932,96149.30466127396,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2705,8.87330436706543,24002.288312911987,36.8189871507287,36.8189871507287,72026.0104355812,96146.26974534988,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1539,15.59428596496582,23999.606100082397,35.18107991239285,35.18107991239285,48026.40433549881,95899.19834947586,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1793,13.38446044921875,23998.33758544922,33.88560765938214,33.88560765938214,24028.06675004959,95666.38539934158,GREED_TRANSITION
+2010-06-09,STOP_LOSS,TMUS,1793,13.38446044921875,23998.33758544922,33.40896140370173,33.40896140370173,48026.40433549881,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_QQQ_STOPLOSS,QQQ,627,38.216064453125,23961.472412109375,33.40896140370173,33.40896140370173,24064.931923389435,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_GRADUAL,LULU,1227,19.549999237060547,23987.84906387329,33.40896140370173,33.40896140370173,77.0828595161438,97031.60623884201,GREED_TRANSITION
+2010-08-30,STOP_LOSS,LULU,1227,15.949999809265137,19570.649765968323,31.110758231093467,31.110758231093467,19647.732625484467,94277.94799089432,VOLATILE_STOCKS
+2010-08-30,BUY_QQQ_STOPLOSS,QQQ,512,38.179931640625,19548.125,31.110758231093467,31.110758231093467,99.60762548446655,94277.94799089432,VOLATILE_STOCKS
+2010-11-04,SELL_GRADUAL,SIRI,676,13.309956550598145,8997.530628204346,79.52490444098007,79.52490444098007,9097.138253688812,126784.62676095963,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,NFLX,384,23.974285125732422,9206.12548828125,79.52490444098007,79.52490444098007,18303.263741970062,126784.62676095963,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,SIRI,676,13.85322093963623,9364.777355194092,80.12015594534758,80.12015594534758,27668.041097164154,127933.11126375198,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,NFLX,384,24.014286041259766,9221.48583984375,80.12015594534758,80.12015594534758,36889.526937007904,127933.11126375198,QQQ_TRANSITION
+2010-11-05,BUY_GRADUAL,QQQ,404,47.09733963012695,19027.32521057129,80.12015594534758,80.12015594534758,17862.201726436615,127933.11126375198,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,SIRI,676,14.034306526184082,9487.19121170044,78.02954261077275,78.02954261077275,27349.392938137054,128386.55824708939,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,NFLX,384,24.161428451538086,9277.988525390625,78.02954261077275,78.02954261077275,36627.38146352768,128386.55824708939,QQQ_TRANSITION
+2010-11-08,BUY_GRADUAL,QQQ,404,47.158782958984375,19052.148315429688,78.02954261077275,78.02954261077275,17575.233148097992,128386.55824708939,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,SIRI,676,13.491044044494629,9119.94577407837,74.24305370136257,74.24305370136257,26695.17892217636,127596.0518898964,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,NFLX,384,24.351428985595703,9350.94873046875,74.24305370136257,74.24305370136257,36046.12765264511,127596.0518898964,QQQ_TRANSITION
+2010-11-09,BUY_GRADUAL,QQQ,406,46.904296875,19043.14453125,74.24305370136257,74.24305370136257,17002.98312139511,127596.0518898964,QQQ_TRANSITION
+2011-08-05,SELL_GRADUAL,QQQ,589,47.504486083984375,27980.142303466797,16.014420438739027,16.014420438739027,44983.12542486191,129043.9979929924,FEAR_TRANSITION
+2011-08-08,SELL_GRADUAL,QQQ,589,44.64522171020508,26296.03558731079,12.102638620949758,12.102638620949758,71279.1610121727,123983.30336236954,FEAR_TRANSITION
+2011-08-09,SELL_GRADUAL,QQQ,589,46.798492431640625,27564.312042236328,21.243367458738685,21.243367458738685,98843.47305440903,126525.99728345871,FEAR_TRANSITION
+2011-08-10,SELL_GRADUAL,QQQ,589,44.88348388671875,26436.372009277344,16.34997696820296,16.34997696820296,125279.84506368637,125395.11773633957,FEAR_TRANSITION
+2011-08-16,BUY_GRADUAL,AMD,4944,6.340000152587891,31344.96075439453,27.713133229401997,27.713133229401997,93934.88430929184,125399.58466482162,GREED_TRANSITION
+2011-08-17,BUY_GRADUAL,DXCM,11087,2.827500104904175,31348.493663072586,27.444352198857068,27.444352198857068,62586.39064621925,124407.95951032639,GREED_TRANSITION
+2011-08-18,BUY_GRADUAL,ILMN,684,45.81711959838867,31338.90980529785,21.352782610275447,21.352782610275447,31247.480840921402,121090.06735396385,GREED_TRANSITION
+2011-09-29,STOP_LOSS,AMD,4944,5.309999942779541,26252.63971710205,35.52057049214211,35.52057049214211,57500.12055802345,119987.04083824158,VOLATILE_STOCKS
+2011-09-29,BUY_QQQ_STOPLOSS,QQQ,551,47.63679122924805,26247.871967315674,35.52057049214211,35.52057049214211,31252.24859070778,119987.04083824158,VOLATILE_STOCKS
+2011-10-07,STOP_LOSS,ILMN,684,26.43968963623047,18084.74771118164,45.948970380647914,45.948970380647914,49336.99630188942,106507.84904646873,VOLATILE_STOCKS
+2011-10-07,BUY_QQQ_STOPLOSS,QQQ,378,47.80477523803711,18070.205039978027,45.948970380647914,45.948970380647914,31266.791261911392,106507.84904646873,VOLATILE_STOCKS
+2011-10-25,STOP_LOSS,NFLX,3,11.052857398986816,33.15857219696045,57.64810056650888,57.64810056650888,31299.949834108353,107460.6527273655,VOLATILE_STOCKS
+2011-11-03,STOP_LOSS,DXCM,11087,1.9674999713897705,21813.672182798386,63.392430604527135,63.392430604527135,53113.62201690674,100849.260140419,VOLATILE_STOCKS
+2011-11-03,BUY_QQQ_STOPLOSS,QQQ,424,51.36781311035156,21779.952758789062,63.392430604527135,63.392430604527135,31333.669258117676,100849.260140419,VOLATILE_STOCKS
+2012-01-20,BUY_GRADUAL,QQQ,147,53.046531677246094,7797.840156555176,76.11690483789968,76.11690483789968,23535.8291015625,103124.6408443451,QQQ_TRANSITION
+2012-01-23,BUY_GRADUAL,QQQ,147,53.06429672241211,7800.45161819458,75.47387743828742,75.47387743828742,15735.37748336792,103151.28841209412,QQQ_TRANSITION
+2012-01-24,BUY_GRADUAL,QQQ,147,52.966651916503906,7786.097831726074,73.6603345892624,73.6603345892624,7949.279651641846,102990.28632545471,QQQ_TRANSITION
+2012-01-25,BUY_GRADUAL,QQQ,146,53.63228988647461,7830.314323425293,74.7347021654166,74.7347021654166,118.96532821655273,104184.44084358215,QQQ_TRANSITION
+2012-05-21,SELL_GRADUAL,QQQ,485,55.57248306274414,26952.65428543091,33.89789007404509,33.89789007404509,27071.61961364746,107947.51016616821,FEAR_TRANSITION
+2012-05-22,SELL_GRADUAL,QQQ,485,55.51026153564453,26922.476844787598,34.48360680185137,34.48360680185137,53994.09645843506,107856.79675674438,FEAR_TRANSITION
+2012-05-23,SELL_GRADUAL,QQQ,485,55.616939544677734,26974.2156791687,33.07033492791181,33.07033492791181,80968.31213760376,107960.54605484009,FEAR_TRANSITION
+2012-05-24,SELL_GRADUAL,QQQ,485,55.252464294433594,26797.445182800293,32.19709993260843,32.19709993260843,107765.75732040405,107783.77555847168,FEAR_TRANSITION
+2012-05-29,BUY_GRADUAL,VRTX,466,57.79999923706055,26934.799644470215,39.29817121538365,39.29817121538365,80830.95767593384,107783.23229789734,GREED_TRANSITION
+2012-05-30,BUY_GRADUAL,NXPI,1395,19.306720733642578,26932.875423431396,32.69376088195683,32.69376088195683,53898.08225250244,108891.95061683655,GREED_TRANSITION
+2012-05-31,BUY_GRADUAL,REGN,199,135.27606201171875,26919.93634033203,34.05046977820416,34.05046977820416,26978.14591217041,108301.30829811096,GREED_TRANSITION
+2012-06-01,BUY_GRADUAL,MNST,2291,11.756667137145996,26934.524411201477,27.26748930164401,27.26748930164401,43.621500968933105,103624.71716690063,GREED_TRANSITION
+2012-06-13,STOP_LOSS,REGN,199,111.57158660888672,22202.745735168457,43.66172453295675,43.66172453295675,22246.36723613739,101613.35444641113,VOLATILE_STOCKS
+2012-06-13,BUY_QQQ_STOPLOSS,QQQ,401,55.23466491699219,22149.100631713867,43.66172453295675,43.66172453295675,97.26660442352295,101613.35444641113,VOLATILE_STOCKS
+2012-07-24,STOP_LOSS,VRTX,466,48.369998931884766,22540.4195022583,50.83486055819301,50.83486055819301,22637.686106681824,98436.31856536865,VOLATILE_STOCKS
+2012-07-24,BUY_QQQ_STOPLOSS,QQQ,401,56.101200103759766,22496.581241607666,50.83486055819301,50.83486055819301,141.10486507415771,98436.31856536865,VOLATILE_STOCKS
+2012-08-10,STOP_LOSS,MNST,2291,9.045000076293945,20722.09517478943,62.38576286447885,62.38576286447885,20863.200039863586,99013.82264232635,VOLATILE_STOCKS
+2012-08-10,BUY_QQQ_STOPLOSS,QQQ,347,59.57632827758789,20672.985912322998,62.38576286447885,62.38576286447885,190.21412754058838,99013.82264232635,VOLATILE_STOCKS
+2013-01-24,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,75.13424844525217,75.13424844525217,9399.225060462952,105958.42475414276,QQQ_TRANSITION
+2013-01-24,BUY_GRADUAL,QQQ,154,59.8992919921875,9224.490966796875,75.13424844525217,75.13424844525217,174.73409366607666,105958.42475414276,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,NXPI,348,26.98277473449707,9390.00560760498,76.59616542938397,76.59616542938397,9564.739701271057,106901.63360309601,QQQ_TRANSITION
+2013-01-25,BUY_GRADUAL,QQQ,154,60.20482635498047,9271.543258666992,76.59616542938397,76.59616542938397,293.19644260406494,106901.63360309601,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,NXPI,348,27.350439071655273,9517.952796936035,75.72095442961731,75.72095442961731,9811.1492395401,107355.00672245026,QQQ_TRANSITION
+2013-01-28,BUY_GRADUAL,QQQ,153,60.33960723876953,9231.959907531738,75.72095442961731,75.72095442961731,579.1893320083618,107355.00672245026,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,76.8305936279351,76.8305936279351,9788.200264930725,107057.6746263504,QQQ_TRANSITION
+2013-01-29,BUY_GRADUAL,QQQ,153,60.34858703613281,9233.33381652832,76.8305936279351,76.8305936279351,554.8664484024048,107057.6746263504,QQQ_TRANSITION
+2015-08-25,SELL_GRADUAL,QQQ,440,90.95682525634766,40021.00311279297,18.64332792812587,18.64332792812587,40575.86956119537,161162.6973810196,FEAR_TRANSITION
+2015-08-26,SELL_GRADUAL,QQQ,440,95.53759002685547,42036.539611816406,30.238674126890754,30.238674126890754,82612.40917301178,167235.12405109406,FEAR_TRANSITION
+2015-08-27,SELL_GRADUAL,QQQ,440,97.9577865600586,43101.42608642578,36.72325111888732,36.72325111888732,125713.83525943756,169377.16119861603,FEAR_TRANSITION
+2015-08-28,SELL_GRADUAL,QQQ,440,97.93927001953125,43093.27880859375,36.806462475332836,36.806462475332836,168807.1140680313,169369.56935214996,FEAR_TRANSITION
+2015-09-01,BUY_GRADUAL,NFLX,399,105.79000091552734,42210.21036529541,29.162017163513145,29.162017163513145,126596.9037027359,169343.05567264557,GREED_TRANSITION
+2015-09-02,BUY_GRADUAL,NVDA,78306,0.5397700667381287,42267.2348459959,33.786594185558485,33.786594185558485,84329.66885674,169220.09294605255,GREED_TRANSITION
+2015-09-03,BUY_GRADUAL,MU,2608,16.203489303588867,42258.700103759766,35.8957291289263,35.8957291289263,42070.96875298023,167587.2710660696,GREED_TRANSITION
+2015-09-28,STOP_LOSS,MU,2608,13.732434272766113,35814.18858337402,29.287423364584594,29.287423364584594,77885.15733635426,162450.1579028368,VOLATILE_STOCKS
+2015-09-28,BUY_QQQ_STOPLOSS,QQQ,385,92.94425964355469,35783.539962768555,29.287423364584594,29.287423364584594,42101.6173735857,162450.1579028368,VOLATILE_STOCKS
+2017-02-16,SELL_GRADUAL,NFLX,99,142.00999450683594,14058.989456176758,74.18422120605587,74.18422120605587,56160.60682976246,353212.2857557535,QQQ_TRANSITION
+2017-02-16,SELL_GRADUAL,NVDA,19576,2.6415488719940186,51710.96071815491,74.18422120605587,74.18422120605587,107871.56754791737,353212.2857557535,QQQ_TRANSITION
+2017-02-16,BUY_GRADUAL,QQQ,634,121.85171508789062,77253.98736572266,74.18422120605587,74.18422120605587,30617.58018219471,353212.2857557535,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NFLX,99,142.22000122070312,14079.78012084961,73.85576423075787,73.85576423075787,44697.36030304432,353785.95212614536,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NVDA,19576,2.641056776046753,51701.327447891235,73.85576423075787,73.85576423075787,96398.68775093555,353785.95212614536,QQQ_TRANSITION
+2017-02-17,BUY_GRADUAL,QQQ,632,122.37963104248047,77343.92681884766,73.85576423075787,73.85576423075787,19054.7609320879,353785.95212614536,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NFLX,99,142.60000610351562,14117.400604248047,76.26775225821572,76.26775225821572,33172.161536335945,358564.9443079233,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NVDA,19576,2.73563551902771,53552.80092048645,76.26775225821572,76.26775225821572,86724.9624568224,358564.9443079233,QQQ_TRANSITION
+2017-02-21,BUY_GRADUAL,QQQ,628,122.98302459716797,77233.33944702148,76.26775225821572,76.26775225821572,9491.623009800911,358564.9443079233,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NFLX,99,143.86000061035156,14242.140060424805,74.96778290840957,74.96778290840957,23733.763070225716,358720.1136442423,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NVDA,19576,2.7314422130584717,53470.71276283264,74.96778290840957,74.96778290840957,77204.47583305836,358720.1136442423,QQQ_TRANSITION
+2018-12-18,SELL_GRADUAL,QQQ,570,151.55323791503906,86385.34561157227,24.442533177764215,24.442533177764215,163589.82144463062,424134.49860584736,FEAR_TRANSITION
+2018-12-19,SELL_GRADUAL,QQQ,570,147.8318328857422,84264.14474487305,22.796729661345402,22.796729661345402,247853.96618950367,417733.8956876993,FEAR_TRANSITION
+2018-12-20,SELL_GRADUAL,QQQ,570,145.68890380859375,83042.67517089844,22.299659882587015,22.299659882587015,330896.6413604021,415268.4574147463,FEAR_TRANSITION
+2018-12-21,SELL_GRADUAL,QQQ,570,141.17352294921875,80468.90808105469,19.58576040567819,19.58576040567819,411365.5494414568,412635.6761728525,FEAR_TRANSITION
+2018-12-27,BUY_GRADUAL,ZS,2566,40.16999816894531,103076.21530151367,27.938844950891582,27.938844950891582,308289.3341399431,412683.14164316654,GREED_TRANSITION
+2018-12-28,BUY_GRADUAL,AMD,5785,17.81999969482422,103088.6982345581,26.23355835507341,26.23355835507341,205200.63590538502,411732.7498089075,GREED_TRANSITION
+2018-12-31,BUY_GRADUAL,MDB,1231,83.73999786376953,103083.9373703003,30.089955926210273,30.089955926210273,102116.69853508472,413961.4327007532,GREED_TRANSITION
+2019-04-24,SELL_GRADUAL,ZS,641,64.98999786376953,41658.58863067627,74.73809260902496,74.73809260902496,143775.287165761,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1446,28.459999084472656,41153.15867614746,74.73809260902496,74.73809260902496,184928.44584190845,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,MDB,307,135.16000366210938,41494.12112426758,74.73809260902496,74.73809260902496,226422.56696617603,601725.5841990709,QQQ_TRANSITION
+2019-04-24,BUY_GRADUAL,QQQ,825,182.33738708496094,150428.34434509277,74.73809260902496,74.73809260902496,75994.22262108326,601725.5841990709,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,ZS,641,66.95999908447266,42921.35941314697,74.47201415715975,74.47201415715975,118915.58203423023,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,AMD,1446,27.65999984741211,39996.35977935791,74.47201415715975,74.47201415715975,158911.94181358814,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,MDB,307,137.66000366210938,42261.62112426758,74.47201415715975,74.47201415715975,201173.56293785572,604944.3393937349,QQQ_TRANSITION
+2019-04-25,BUY_GRADUAL,QQQ,822,183.07749938964844,150489.70449829102,74.47201415715975,74.47201415715975,50683.858439564705,604944.3393937349,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,ZS,641,66.94000244140625,42908.541564941406,74.04664446450204,74.04664446450204,93592.40000450611,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,AMD,1446,27.8799991607666,40314.478786468506,74.04664446450204,74.04664446450204,133906.87879097462,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,MDB,307,138.97999572753906,42666.85868835449,74.04664446450204,74.04664446450204,176573.7374793291,606662.1562358141,QQQ_TRANSITION
+2019-04-26,BUY_GRADUAL,QQQ,821,183.2408905029297,150440.77110290527,74.04664446450204,74.04664446450204,26132.966376423836,606662.1562358141,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,ZS,641,68.19999694824219,43716.19804382324,74.33985266042214,74.33985266042214,69849.16442024708,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,AMD,1446,27.690000534057617,40039.740772247314,74.33985266042214,74.33985266042214,109888.90519249439,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,MDB,307,137.5,42212.5,74.33985266042214,74.33985266042214,152101.4051924944,607605.7671710253,QQQ_TRANSITION
+2019-04-29,BUY_GRADUAL,QQQ,820,183.5964813232422,150549.1146850586,74.33985266042214,74.33985266042214,1552.2905074357986,607605.7671710253,QQQ_TRANSITION
+2020-02-28,SELL_GRADUAL,QQQ,822,199.0699005126953,163635.45822143555,20.377945426333802,20.377945426333802,165187.74872887135,658590.0816584826,FEAR_TRANSITION
+2020-03-02,SELL_GRADUAL,QQQ,822,209.34254455566406,172079.57162475586,36.64935574118489,36.64935574118489,337267.3203536272,684011.7751408815,FEAR_TRANSITION
+2020-03-03,SELL_GRADUAL,QQQ,822,202.62953186035156,166561.47518920898,29.173017969864834,29.173017969864834,503828.7955428362,672909.4515925646,FEAR_TRANSITION
+2020-03-04,SELL_GRADUAL,QQQ,822,211.08370971679688,173510.80938720703,37.762293269698624,37.762293269698624,677339.6049300432,679956.120731473,FEAR_TRANSITION
+2020-03-06,BUY_GRADUAL,MRNA,5736,29.610000610351562,169842.96350097656,24.79777800648001,24.79777800648001,507496.64142906666,679825.6721946001,GREED_TRANSITION
+2020-03-09,STOP_LOSS,MRNA,5736,24.290000915527344,139327.44525146484,16.994433907313056,16.994433907313056,646824.0866805315,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_QQQ_STOPLOSS,QQQ,744,187.23983764648438,139306.43920898438,16.994433907313056,16.994433907313056,507517.6474715471,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_GRADUAL,TSLA,4190,40.53333282470703,169834.66453552246,16.994433907313056,16.994433907313056,337682.98293602467,649100.3950177431,GREED_TRANSITION
+2020-03-10,BUY_GRADUAL,MRVL,7509,22.620569229125977,169857.85434150696,24.7215849676679,24.7215849676679,167825.1285945177,667229.5989590883,GREED_TRANSITION
+2020-03-12,STOP_LOSS,MRVL,7509,19.063262939453125,143146.04141235352,17.297952141169375,17.297952141169375,310971.1700068712,597219.0562878847,VOLATILE_STOCKS
+2020-03-12,BUY_QQQ_STOPLOSS,QQQ,834,171.52120971679688,143048.6889038086,17.297952141169375,17.297952141169375,167922.48110306263,597219.0562878847,VOLATILE_STOCKS
+2020-03-16,STOP_LOSS,TSLA,4190,29.67133331298828,124322.8865814209,19.126240915184,19.126240915184,292245.3676844835,552585.3837367296,VOLATILE_STOCKS
+2020-03-16,BUY_QQQ_STOPLOSS,QQQ,759,163.7635040283203,124296.49955749512,19.126240915184,19.126240915184,167948.8681269884,552585.3837367296,VOLATILE_STOCKS
+2020-06-03,BUY_GRADUAL,QQQ,185,229.43759155273438,42445.95443725586,78.64383713986213,78.64383713986213,125502.91368973255,707212.8291083574,QQQ_TRANSITION
+2020-06-04,BUY_GRADUAL,QQQ,187,227.82846069335938,42603.9221496582,79.05391554632061,79.05391554632061,82898.99154007435,703082.4960223436,QQQ_TRANSITION
+2020-06-05,BUY_GRADUAL,QQQ,183,232.3456268310547,42519.24971008301,83.9440139783205,83.9440139783205,40379.74182999134,715283.7573214769,QQQ_TRANSITION
+2022-01-26,SELL_GRADUAL,QQQ,723,336.8142395019531,243516.6951599121,24.061477932967016,24.061477932967016,283896.43698990345,1018472.5361949205,FEAR_TRANSITION
+2022-01-27,SELL_GRADUAL,QQQ,723,333.4222717285156,241064.3024597168,23.19312861351907,23.19312861351907,524960.7394496202,1011148.2586299181,FEAR_TRANSITION
+2022-01-28,SELL_GRADUAL,QQQ,723,343.8814697265625,248626.3026123047,32.47130624150118,32.47130624150118,773587.0420619249,1026391.1896373034,FEAR_TRANSITION
+2022-01-31,SELL_GRADUAL,QQQ,723,354.8782653808594,256576.98587036133,40.745889513626054,40.745889513626054,1030164.0279322863,1034683.9514399767,FEAR_TRANSITION
+2022-02-02,BUY_GRADUAL,NFLX,601,429.4800109863281,258117.4866027832,46.50000935058783,46.50000935058783,772046.5413295031,1034707.5882998705,GREED_TRANSITION
+2022-02-03,BUY_GRADUAL,PDD,4689,55.130001068115234,258504.57500839233,42.57397684804427,42.57397684804427,513541.9663211107,1020142.6742678881,GREED_TRANSITION
+2022-02-04,BUY_GRADUAL,WBD,8945,28.899999618530273,258510.4965877533,45.75812386485002,45.75812386485002,255031.46973335743,1026385.4142123461,GREED_TRANSITION
+2022-03-03,STOP_LOSS,PDD,4689,45.220001220703125,212036.58572387695,38.78432972132524,38.78432972132524,467068.0554572344,948795.3329497576,VOLATILE_STOCKS
+2022-03-03,BUY_QQQ_STOPLOSS,QQQ,633,334.55621337890625,211774.08306884766,38.78432972132524,38.78432972132524,255293.97238838673,948795.3329497576,VOLATILE_STOCKS
+2022-03-11,STOP_LOSS,WBD,8945,23.989999771118164,214590.54795265198,30.553866333660586,30.553866333660586,469884.5203410387,878854.3637820482,VOLATILE_STOCKS
+2022-03-11,BUY_QQQ_STOPLOSS,QQQ,676,317.09814453125,214358.345703125,30.553866333660586,30.553866333660586,255526.1746379137,878854.3637820482,VOLATILE_STOCKS
+2022-08-16,SELL_GRADUAL,NFLX,151,245.69000244140625,37099.190368652344,75.89323394690028,75.89323394690028,292625.36500656605,833290.0493594408,QQQ_TRANSITION
+2022-08-16,BUY_GRADUAL,QQQ,313,325.8274841308594,101984.00253295898,75.89323394690028,75.89323394690028,190641.36247360706,833290.0493594408,QQQ_TRANSITION
+2022-08-17,SELL_GRADUAL,NFLX,151,241.14999389648438,36413.64907836914,71.95888891502631,71.95888891502631,227055.0115519762,825131.600541234,QQQ_TRANSITION
+2022-08-17,BUY_GRADUAL,QQQ,316,322.1111145019531,101787.11218261719,71.95888891502631,71.95888891502631,125267.89936935902,825131.600541234,QQQ_TRANSITION
+2022-08-18,SELL_GRADUAL,NFLX,151,245.1699981689453,37020.66972351074,72.7643774387154,72.7643774387154,162288.56909286976,827835.9035960436,QQQ_TRANSITION
+2022-08-18,BUY_GRADUAL,QQQ,316,322.8857727050781,102031.90417480469,72.7643774387154,72.7643774387154,60256.66491806507,827835.9035960436,QQQ_TRANSITION
+2022-08-19,SELL_GRADUAL,NFLX,151,241.16000366210938,36415.160552978516,68.48379396098062,68.48379396098062,96671.82547104359,812946.4563647509,QQQ_TRANSITION
+2022-09-26,SELL_GRADUAL,QQQ,564,269.52557373046875,152012.42358398438,25.412070998468074,25.412070998468074,248684.24905502796,706188.6064368486,FEAR_TRANSITION
+2022-09-27,SELL_GRADUAL,QQQ,564,269.6336364746094,152073.3709716797,26.22711815731541,26.22711815731541,400757.62002670765,706398.3756018877,FEAR_TRANSITION
+2022-09-28,SELL_GRADUAL,QQQ,564,274.9972229003906,155098.4337158203,33.21082990012799,33.21082990012799,555856.053742528,712491.662078023,FEAR_TRANSITION
+2022-09-29,SELL_GRADUAL,QQQ,564,267.0697021484375,150627.31201171875,29.27070352396588,29.27070352396588,706483.3657542467,707972.9652472734,FEAR_TRANSITION
+2022-10-03,BUY_GRADUAL,BIIB,669,264.29998779296875,176816.6918334961,32.38063116058547,32.38063116058547,529666.6739207506,707985.9719649553,GREED_TRANSITION
+2022-10-04,BUY_GRADUAL,REGN,239,737.5012817382812,176262.80633544922,42.2918131346582,42.2918131346582,353403.8675853014,710158.7622882128,GREED_TRANSITION
+2022-10-05,BUY_GRADUAL,NFLX,747,236.72999572753906,176837.30680847168,41.52977712655799,41.52977712655799,176566.56077682972,707777.2871772051,GREED_TRANSITION
+2023-02-03,SELL_GRADUAL,BIIB,167,283.6300048828125,47366.21081542969,72.23030348546578,72.23030348546578,223932.7715922594,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,REGN,59,780.97119140625,46077.30029296875,72.23030348546578,72.23030348546578,270010.07188522816,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,NFLX,186,365.8999938964844,68057.3988647461,72.23030348546578,72.23030348546578,338067.47074997425,827954.7001353502,QQQ_TRANSITION
+2023-02-03,BUY_GRADUAL,QQQ,683,301.49395751953125,205920.37298583984,72.23030348546578,72.23030348546578,132147.0977641344,827954.7001353502,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,BIIB,167,288.2799987792969,48142.75979614258,65.34324140803145,65.34324140803145,180289.85756027699,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,REGN,59,778.7074584960938,45943.74005126953,65.34324140803145,65.34324140803145,226233.59761154652,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,NFLX,186,361.4800109863281,67235.28204345703,65.34324140803145,65.34324140803145,293468.87965500355,825630.6798182726,QQQ_TRANSITION
+2023-02-06,BUY_GRADUAL,QQQ,688,298.9436340332031,205673.22021484375,65.34324140803145,65.34324140803145,87795.6594401598,825630.6798182726,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,BIIB,167,291.42999267578125,48668.80877685547,70.27852780807376,70.27852780807376,136464.46821701527,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,REGN,59,767.8175048828125,45301.23278808594,70.27852780807376,70.27852780807376,181765.7010051012,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,NFLX,186,362.95001220703125,67508.70227050781,70.27852780807376,70.27852780807376,249274.40327560902,834460.9118129015,QQQ_TRANSITION
+2023-02-07,BUY_GRADUAL,QQQ,674,305.1373596191406,205662.58038330078,70.27852780807376,70.27852780807376,43611.822892308235,834460.9118129015,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,BIIB,167,285.45001220703125,47670.15203857422,64.43188468733032,64.43188468733032,91281.97493088245,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,REGN,59,747.5934448242188,44108.013244628906,64.43188468733032,64.43188468733032,135389.98817551136,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,NFLX,186,366.8299865722656,68230.3775024414,64.43188468733032,64.43188468733032,203620.36567795277,821817.0054217577,QQQ_TRANSITION
+2023-11-09,STOP_LOSS,BIIB,1,224.64999389648438,224.64999389648438,54.383852658550936,54.383852658550936,203845.01567184925,958229.0677386522,QQQ_HOLD
+2025-04-07,SELL_GRADUAL,QQQ,511,423.2146911621094,216262.7071838379,24.106379703967942,24.106379703967942,420107.72285568714,1075227.2145739794,FEAR_TRANSITION
+2025-04-08,SELL_GRADUAL,QQQ,511,415.59326171875,212368.15673828125,23.47897409359107,23.47897409359107,632475.8795939684,1063446.8414145708,FEAR_TRANSITION
+2025-04-09,SELL_GRADUAL,QQQ,511,465.47723388671875,237858.86651611328,39.00858627592589,39.00858627592589,870334.7461100817,1115042.5140486956,FEAR_TRANSITION
+2025-04-10,SELL_GRADUAL,QQQ,511,445.6794738769531,227742.21115112305,33.96020602504672,33.96020602504672,1098076.9572612047,1104615.0388365984,FEAR_TRANSITION
+2025-04-14,BUY_GRADUAL,MCHP,7155,38.58142852783203,276050.1211166382,37.444908145843534,37.444908145843534,822026.8361445665,1104757.0596286058,GREED_TRANSITION
+2025-04-15,BUY_GRADUAL,WBD,33461,8.25,276053.25,37.75161834264942,37.75161834264942,545973.5861445665,1103806.8776408434,GREED_TRANSITION
+2025-04-16,STOP_LOSS,WBD,33461,7.920000076293945,265011.1225528717,32.4554396374009,32.4554396374009,810984.7086974382,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_QQQ_STOPLOSS,QQQ,597,443.68170166015625,264877.9758911133,32.4554396374009,32.4554396374009,546106.732806325,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_GRADUAL,AMD,3126,88.29000091552734,275994.5428619385,32.4554396374009,32.4554396374009,270112.1899443865,1087112.121976018,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,781,113.51000213623047,88651.311668396,75.62799649436673,75.62799649436673,358763.5016127825,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,1788,60.33309555053711,107875.57484436035,75.62799649436673,75.62799649436673,466639.07645714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,BUY_GRADUAL,QQQ,512,519.6863403320312,266079.40625,75.62799649436673,75.62799649436673,200559.67020714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,AMD,781,112.05999755859375,87518.85809326172,68.96239147283873,68.96239147283873,288078.52830040455,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,1788,58.79499816894531,105125.45672607422,68.96239147283873,68.96239147283873,393203.98502647877,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,520,512.4644165039062,266481.49658203125,68.96239147283873,68.96239147283873,126722.48844444752,1355189.5948916674,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,781,110.70999908447266,86464.50928497314,66.69973135428862,66.69973135428862,213186.99772942066,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,1788,58.04999923706055,103793.39863586426,66.69973135428862,66.69973135428862,316980.3963652849,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,519,513.4234008789062,266466.74505615234,66.69973135428862,66.69973135428862,50513.651309132576,1351925.0433951616,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,781,110.30999755859375,86152.10809326172,62.342179974993726,62.342179974993726,136665.7594023943,1338007.1326247454,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,1788,56.189998626708984,100467.71754455566,62.342179974993726,62.342179974993726,237133.47694694996,1338007.1326247454,QQQ_TRANSITION

backtest/reports/enhanced_trades_20250718_204803.csv

@@ -0,0 +1,204 @@
+date,action,ticker,shares,price,value,fg_index,cnn_fear_greed,cash_after,total_assets,portfolio_state
+2008-01-09,SELL_GRADUAL,QQQ,609,41.368202209472656,25193.235145568848,26.344740247547747,26.344740247547747,25208.408485412598,100829.48212432861,FEAR_TRANSITION
+2008-01-10,SELL_GRADUAL,QQQ,609,41.428653717041016,25230.05011367798,32.93074277910004,32.93074277910004,50438.458599090576,100939.98748016357,FEAR_TRANSITION
+2008-01-11,SELL_GRADUAL,QQQ,609,40.617149353027344,24735.843955993652,28.176976271462404,28.176976271462404,75174.30255508423,99950.76366043091,FEAR_TRANSITION
+2008-01-14,SELL_GRADUAL,QQQ,609,41.32505798339844,25166.96031188965,30.536227836089562,30.536227836089562,100341.26286697388,100382.58792495728,FEAR_TRANSITION
+2008-01-16,BUY_GRADUAL,ILMN,745,33.63326644897461,25056.783504486084,27.300196841810212,27.300196841810212,75284.4793624878,100381.0167427063,GREED_TRANSITION
+2008-01-17,BUY_GRADUAL,TMUS,852,29.416748046875,25063.0693359375,20.374689776577714,20.374689776577714,50221.41002655029,99963.75773239136,GREED_TRANSITION
+2008-01-18,BUY_GRADUAL,DXCM,11274,2.2249999046325684,25084.648924827576,20.18843039588665,20.18843039588665,25136.761101722717,98656.10165023804,GREED_TRANSITION
+2008-01-22,BUY_GRADUAL,SBUX,3549,7.068207740783691,25085.06927204132,19.14782163420834,19.14782163420834,51.691829681396484,97151.9062590599,GREED_TRANSITION
+2008-02-20,STOP_LOSS,TMUS,852,24.76690101623535,21101.39966583252,53.87240876697988,53.87240876697988,21153.091495513916,94385.23314976692,VOLATILE_STOCKS
+2008-02-20,BUY_QQQ_STOPLOSS,QQQ,556,37.9323616027832,21090.39305114746,53.87240876697988,53.87240876697988,62.69844436645508,94385.23314976692,VOLATILE_STOCKS
+2008-02-28,STOP_LOSS,DXCM,11274,1.8849999904632568,21251.489892482758,50.39006293843006,50.39006293843006,21314.188336849213,94275.87118148804,VOLATILE_STOCKS
+2008-02-28,BUY_QQQ_STOPLOSS,QQQ,557,38.087764739990234,21214.88496017456,50.39006293843006,50.39006293843006,99.3033766746521,94275.87118148804,VOLATILE_STOCKS
+2008-04-25,STOP_LOSS,SBUX,3549,6.004380226135254,21309.545422554016,69.45714736367935,69.45714736367935,21408.84879922867,95417.57655572891,VOLATILE_STOCKS
+2008-04-25,BUY_QQQ_STOPLOSS,QQQ,523,40.73530578613281,21304.56492614746,69.45714736367935,69.45714736367935,104.28387308120728,95417.57655572891,VOLATILE_STOCKS
+2008-10-09,STOP_LOSS,ILMN,745,28.21011734008789,21016.53741836548,8.848037539825762,8.848037539825762,21120.821291446686,65760.3383011818,VOLATILE_STOCKS
+2008-10-09,BUY_QQQ_STOPLOSS,QQQ,770,27.269100189208984,20997.207145690918,8.848037539825762,8.848037539825762,123.61414575576782,65760.3383011818,VOLATILE_STOCKS
+2009-05-05,BUY_GRADUAL,QQQ,1,30.3912410736084,30.3912410736084,75.86377868118474,75.86377868118474,93.22290468215942,73275.33140993118,QQQ_TRANSITION
+2009-05-06,BUY_GRADUAL,QQQ,1,30.39992904663086,30.39992904663086,82.3309806574607,82.3309806574607,62.822975635528564,73296.25204896927,QQQ_TRANSITION
+2009-05-07,BUY_GRADUAL,QQQ,1,29.688297271728516,29.688297271728516,77.63068795156485,77.63068795156485,33.13467836380005,71581.93110322952,QQQ_TRANSITION
+2009-05-08,BUY_GRADUAL,QQQ,1,29.705650329589844,29.705650329589844,75.32780647633614,75.32780647633614,3.429028034210205,71623.75197267532,QQQ_TRANSITION
+2010-05-27,SELL_GRADUAL,QQQ,602,40.003875732421875,24082.33319091797,33.580788922696,33.580788922696,24085.76221895218,96452.77341890335,FEAR_TRANSITION
+2010-05-28,SELL_GRADUAL,QQQ,602,39.7684211730957,23940.589546203613,33.34027831701036,33.34027831701036,48026.35176515579,96026.8361210823,FEAR_TRANSITION
+2010-06-01,SELL_GRADUAL,QQQ,602,39.40214920043945,23720.09381866455,27.283331291968164,27.283331291968164,71746.44558382034,95584.74585008621,FEAR_TRANSITION
+2010-06-02,SELL_GRADUAL,QQQ,602,40.335304260253906,24281.85316467285,37.67628312195878,37.67628312195878,96028.2987484932,96149.30466127396,FEAR_TRANSITION
+2010-06-04,BUY_GRADUAL,SIRI,2705,8.87330436706543,24002.288312911987,36.8189871507287,36.8189871507287,72026.0104355812,96146.26974534988,GREED_TRANSITION
+2010-06-07,BUY_GRADUAL,NFLX,1539,15.59428596496582,23999.606100082397,35.18107991239285,35.18107991239285,48026.40433549881,95899.19834947586,GREED_TRANSITION
+2010-06-08,BUY_GRADUAL,TMUS,1793,13.38446044921875,23998.33758544922,33.88560765938214,33.88560765938214,24028.06675004959,95666.38539934158,GREED_TRANSITION
+2010-06-09,STOP_LOSS,TMUS,1793,13.38446044921875,23998.33758544922,33.40896140370173,33.40896140370173,48026.40433549881,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_QQQ_STOPLOSS,QQQ,627,38.216064453125,23961.472412109375,33.40896140370173,33.40896140370173,24064.931923389435,97031.60623884201,GREED_TRANSITION
+2010-06-09,BUY_GRADUAL,LULU,1227,19.549999237060547,23987.84906387329,33.40896140370173,33.40896140370173,77.0828595161438,97031.60623884201,GREED_TRANSITION
+2010-08-30,STOP_LOSS,LULU,1227,15.949999809265137,19570.649765968323,31.110758231093467,31.110758231093467,19647.732625484467,94277.94799089432,VOLATILE_STOCKS
+2010-08-30,BUY_QQQ_STOPLOSS,QQQ,512,38.179931640625,19548.125,31.110758231093467,31.110758231093467,99.60762548446655,94277.94799089432,VOLATILE_STOCKS
+2010-11-04,SELL_GRADUAL,SIRI,676,13.309956550598145,8997.530628204346,79.52490444098007,79.52490444098007,9097.138253688812,126784.62676095963,QQQ_TRANSITION
+2010-11-04,SELL_GRADUAL,NFLX,384,23.974285125732422,9206.12548828125,79.52490444098007,79.52490444098007,18303.263741970062,126784.62676095963,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,SIRI,676,13.85322093963623,9364.777355194092,80.12015594534758,80.12015594534758,27668.041097164154,127933.11126375198,QQQ_TRANSITION
+2010-11-05,SELL_GRADUAL,NFLX,384,24.014286041259766,9221.48583984375,80.12015594534758,80.12015594534758,36889.526937007904,127933.11126375198,QQQ_TRANSITION
+2010-11-05,BUY_GRADUAL,QQQ,404,47.09733963012695,19027.32521057129,80.12015594534758,80.12015594534758,17862.201726436615,127933.11126375198,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,SIRI,676,14.034306526184082,9487.19121170044,78.02954261077275,78.02954261077275,27349.392938137054,128386.55824708939,QQQ_TRANSITION
+2010-11-08,SELL_GRADUAL,NFLX,384,24.161428451538086,9277.988525390625,78.02954261077275,78.02954261077275,36627.38146352768,128386.55824708939,QQQ_TRANSITION
+2010-11-08,BUY_GRADUAL,QQQ,404,47.158782958984375,19052.148315429688,78.02954261077275,78.02954261077275,17575.233148097992,128386.55824708939,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,SIRI,676,13.491044044494629,9119.94577407837,74.24305370136257,74.24305370136257,26695.17892217636,127596.0518898964,QQQ_TRANSITION
+2010-11-09,SELL_GRADUAL,NFLX,384,24.351428985595703,9350.94873046875,74.24305370136257,74.24305370136257,36046.12765264511,127596.0518898964,QQQ_TRANSITION
+2010-11-09,BUY_GRADUAL,QQQ,406,46.904296875,19043.14453125,74.24305370136257,74.24305370136257,17002.98312139511,127596.0518898964,QQQ_TRANSITION
+2011-08-05,SELL_GRADUAL,QQQ,589,47.504486083984375,27980.142303466797,16.014420438739027,16.014420438739027,44983.12542486191,129043.9979929924,FEAR_TRANSITION
+2011-08-08,SELL_GRADUAL,QQQ,589,44.64522171020508,26296.03558731079,12.102638620949758,12.102638620949758,71279.1610121727,123983.30336236954,FEAR_TRANSITION
+2011-08-09,SELL_GRADUAL,QQQ,589,46.798492431640625,27564.312042236328,21.243367458738685,21.243367458738685,98843.47305440903,126525.99728345871,FEAR_TRANSITION
+2011-08-10,SELL_GRADUAL,QQQ,589,44.88348388671875,26436.372009277344,16.34997696820296,16.34997696820296,125279.84506368637,125395.11773633957,FEAR_TRANSITION
+2011-08-16,BUY_GRADUAL,AMD,4944,6.340000152587891,31344.96075439453,27.713133229401997,27.713133229401997,93934.88430929184,125399.58466482162,GREED_TRANSITION
+2011-08-17,BUY_GRADUAL,DXCM,11087,2.827500104904175,31348.493663072586,27.444352198857068,27.444352198857068,62586.39064621925,124407.95951032639,GREED_TRANSITION
+2011-08-18,BUY_GRADUAL,ILMN,684,45.81711959838867,31338.90980529785,21.352782610275447,21.352782610275447,31247.480840921402,121090.06735396385,GREED_TRANSITION
+2011-09-29,STOP_LOSS,AMD,4944,5.309999942779541,26252.63971710205,35.52057049214211,35.52057049214211,57500.12055802345,119987.04083824158,VOLATILE_STOCKS
+2011-09-29,BUY_QQQ_STOPLOSS,QQQ,551,47.63679122924805,26247.871967315674,35.52057049214211,35.52057049214211,31252.24859070778,119987.04083824158,VOLATILE_STOCKS
+2011-10-07,STOP_LOSS,ILMN,684,26.43968963623047,18084.74771118164,45.948970380647914,45.948970380647914,49336.99630188942,106507.84904646873,VOLATILE_STOCKS
+2011-10-07,BUY_QQQ_STOPLOSS,QQQ,378,47.80477523803711,18070.205039978027,45.948970380647914,45.948970380647914,31266.791261911392,106507.84904646873,VOLATILE_STOCKS
+2011-10-25,STOP_LOSS,NFLX,3,11.052857398986816,33.15857219696045,57.64810056650888,57.64810056650888,31299.949834108353,107460.6527273655,VOLATILE_STOCKS
+2011-11-03,STOP_LOSS,DXCM,11087,1.9674999713897705,21813.672182798386,63.392430604527135,63.392430604527135,53113.62201690674,100849.260140419,VOLATILE_STOCKS
+2011-11-03,BUY_QQQ_STOPLOSS,QQQ,424,51.36781311035156,21779.952758789062,63.392430604527135,63.392430604527135,31333.669258117676,100849.260140419,VOLATILE_STOCKS
+2012-01-20,BUY_GRADUAL,QQQ,147,53.046531677246094,7797.840156555176,76.11690483789968,76.11690483789968,23535.8291015625,103124.6408443451,QQQ_TRANSITION
+2012-01-23,BUY_GRADUAL,QQQ,147,53.06429672241211,7800.45161819458,75.47387743828742,75.47387743828742,15735.37748336792,103151.28841209412,QQQ_TRANSITION
+2012-01-24,BUY_GRADUAL,QQQ,147,52.966651916503906,7786.097831726074,73.6603345892624,73.6603345892624,7949.279651641846,102990.28632545471,QQQ_TRANSITION
+2012-01-25,BUY_GRADUAL,QQQ,146,53.63228988647461,7830.314323425293,74.7347021654166,74.7347021654166,118.96532821655273,104184.44084358215,QQQ_TRANSITION
+2012-05-21,SELL_GRADUAL,QQQ,485,55.57248306274414,26952.65428543091,33.89789007404509,33.89789007404509,27071.61961364746,107947.51016616821,FEAR_TRANSITION
+2012-05-22,SELL_GRADUAL,QQQ,485,55.51026153564453,26922.476844787598,34.48360680185137,34.48360680185137,53994.09645843506,107856.79675674438,FEAR_TRANSITION
+2012-05-23,SELL_GRADUAL,QQQ,485,55.616939544677734,26974.2156791687,33.07033492791181,33.07033492791181,80968.31213760376,107960.54605484009,FEAR_TRANSITION
+2012-05-24,SELL_GRADUAL,QQQ,485,55.252464294433594,26797.445182800293,32.19709993260843,32.19709993260843,107765.75732040405,107783.77555847168,FEAR_TRANSITION
+2012-05-29,BUY_GRADUAL,VRTX,466,57.79999923706055,26934.799644470215,39.29817121538365,39.29817121538365,80830.95767593384,107783.23229789734,GREED_TRANSITION
+2012-05-30,BUY_GRADUAL,NXPI,1395,19.306720733642578,26932.875423431396,32.69376088195683,32.69376088195683,53898.08225250244,108891.95061683655,GREED_TRANSITION
+2012-05-31,BUY_GRADUAL,REGN,199,135.27606201171875,26919.93634033203,34.05046977820416,34.05046977820416,26978.14591217041,108301.30829811096,GREED_TRANSITION
+2012-06-01,BUY_GRADUAL,MNST,2291,11.756667137145996,26934.524411201477,27.26748930164401,27.26748930164401,43.621500968933105,103624.71716690063,GREED_TRANSITION
+2012-06-13,STOP_LOSS,REGN,199,111.57158660888672,22202.745735168457,43.66172453295675,43.66172453295675,22246.36723613739,101613.35444641113,VOLATILE_STOCKS
+2012-06-13,BUY_QQQ_STOPLOSS,QQQ,401,55.23466491699219,22149.100631713867,43.66172453295675,43.66172453295675,97.26660442352295,101613.35444641113,VOLATILE_STOCKS
+2012-07-24,STOP_LOSS,VRTX,466,48.369998931884766,22540.4195022583,50.83486055819301,50.83486055819301,22637.686106681824,98436.31856536865,VOLATILE_STOCKS
+2012-07-24,BUY_QQQ_STOPLOSS,QQQ,401,56.101200103759766,22496.581241607666,50.83486055819301,50.83486055819301,141.10486507415771,98436.31856536865,VOLATILE_STOCKS
+2012-08-10,STOP_LOSS,MNST,2291,9.045000076293945,20722.09517478943,62.38576286447885,62.38576286447885,20863.200039863586,99013.82264232635,VOLATILE_STOCKS
+2012-08-10,BUY_QQQ_STOPLOSS,QQQ,347,59.57632827758789,20672.985912322998,62.38576286447885,62.38576286447885,190.21412754058838,99013.82264232635,VOLATILE_STOCKS
+2013-01-24,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,75.13424844525217,75.13424844525217,9399.225060462952,105958.42475414276,QQQ_TRANSITION
+2013-01-24,BUY_GRADUAL,QQQ,154,59.8992919921875,9224.490966796875,75.13424844525217,75.13424844525217,174.73409366607666,105958.42475414276,QQQ_TRANSITION
+2013-01-25,SELL_GRADUAL,NXPI,348,26.98277473449707,9390.00560760498,76.59616542938397,76.59616542938397,9564.739701271057,106901.63360309601,QQQ_TRANSITION
+2013-01-25,BUY_GRADUAL,QQQ,154,60.20482635498047,9271.543258666992,76.59616542938397,76.59616542938397,293.19644260406494,106901.63360309601,QQQ_TRANSITION
+2013-01-28,SELL_GRADUAL,NXPI,348,27.350439071655273,9517.952796936035,75.72095442961731,75.72095442961731,9811.1492395401,107355.00672245026,QQQ_TRANSITION
+2013-01-28,BUY_GRADUAL,QQQ,153,60.33960723876953,9231.959907531738,75.72095442961731,75.72095442961731,579.1893320083618,107355.00672245026,QQQ_TRANSITION
+2013-01-29,SELL_GRADUAL,NXPI,348,26.462675094604492,9209.010932922363,76.8305936279351,76.8305936279351,9788.200264930725,107057.6746263504,QQQ_TRANSITION
+2013-01-29,BUY_GRADUAL,QQQ,153,60.34858703613281,9233.33381652832,76.8305936279351,76.8305936279351,554.8664484024048,107057.6746263504,QQQ_TRANSITION
+2015-08-25,SELL_GRADUAL,QQQ,440,90.95682525634766,40021.00311279297,18.64332792812587,18.64332792812587,40575.86956119537,161162.6973810196,FEAR_TRANSITION
+2015-08-26,SELL_GRADUAL,QQQ,440,95.53759002685547,42036.539611816406,30.238674126890754,30.238674126890754,82612.40917301178,167235.12405109406,FEAR_TRANSITION
+2015-08-27,SELL_GRADUAL,QQQ,440,97.9577865600586,43101.42608642578,36.72325111888732,36.72325111888732,125713.83525943756,169377.16119861603,FEAR_TRANSITION
+2015-08-28,SELL_GRADUAL,QQQ,440,97.93927001953125,43093.27880859375,36.806462475332836,36.806462475332836,168807.1140680313,169369.56935214996,FEAR_TRANSITION
+2015-09-01,BUY_GRADUAL,NFLX,399,105.79000091552734,42210.21036529541,29.162017163513145,29.162017163513145,126596.9037027359,169343.05567264557,GREED_TRANSITION
+2015-09-02,BUY_GRADUAL,NVDA,78306,0.5397700667381287,42267.2348459959,33.786594185558485,33.786594185558485,84329.66885674,169220.09294605255,GREED_TRANSITION
+2015-09-03,BUY_GRADUAL,MU,2608,16.203489303588867,42258.700103759766,35.8957291289263,35.8957291289263,42070.96875298023,167587.2710660696,GREED_TRANSITION
+2015-09-28,STOP_LOSS,MU,2608,13.732434272766113,35814.18858337402,29.287423364584594,29.287423364584594,77885.15733635426,162450.1579028368,VOLATILE_STOCKS
+2015-09-28,BUY_QQQ_STOPLOSS,QQQ,385,92.94425964355469,35783.539962768555,29.287423364584594,29.287423364584594,42101.6173735857,162450.1579028368,VOLATILE_STOCKS
+2017-02-16,SELL_GRADUAL,NFLX,99,142.00999450683594,14058.989456176758,74.18422120605587,74.18422120605587,56160.60682976246,353212.2857557535,QQQ_TRANSITION
+2017-02-16,SELL_GRADUAL,NVDA,19576,2.6415488719940186,51710.96071815491,74.18422120605587,74.18422120605587,107871.56754791737,353212.2857557535,QQQ_TRANSITION
+2017-02-16,BUY_GRADUAL,QQQ,634,121.85171508789062,77253.98736572266,74.18422120605587,74.18422120605587,30617.58018219471,353212.2857557535,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NFLX,99,142.22000122070312,14079.78012084961,73.85576423075787,73.85576423075787,44697.36030304432,353785.95212614536,QQQ_TRANSITION
+2017-02-17,SELL_GRADUAL,NVDA,19576,2.641056776046753,51701.327447891235,73.85576423075787,73.85576423075787,96398.68775093555,353785.95212614536,QQQ_TRANSITION
+2017-02-17,BUY_GRADUAL,QQQ,632,122.37963104248047,77343.92681884766,73.85576423075787,73.85576423075787,19054.7609320879,353785.95212614536,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NFLX,99,142.60000610351562,14117.400604248047,76.26775225821572,76.26775225821572,33172.161536335945,358564.9443079233,QQQ_TRANSITION
+2017-02-21,SELL_GRADUAL,NVDA,19576,2.73563551902771,53552.80092048645,76.26775225821572,76.26775225821572,86724.9624568224,358564.9443079233,QQQ_TRANSITION
+2017-02-21,BUY_GRADUAL,QQQ,628,122.98302459716797,77233.33944702148,76.26775225821572,76.26775225821572,9491.623009800911,358564.9443079233,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NFLX,99,143.86000061035156,14242.140060424805,74.96778290840957,74.96778290840957,23733.763070225716,358720.1136442423,QQQ_TRANSITION
+2017-02-22,SELL_GRADUAL,NVDA,19576,2.7314422130584717,53470.71276283264,74.96778290840957,74.96778290840957,77204.47583305836,358720.1136442423,QQQ_TRANSITION
+2018-12-18,SELL_GRADUAL,QQQ,570,151.55323791503906,86385.34561157227,24.442533177764215,24.442533177764215,163589.82144463062,424134.49860584736,FEAR_TRANSITION
+2018-12-19,SELL_GRADUAL,QQQ,570,147.8318328857422,84264.14474487305,22.796729661345402,22.796729661345402,247853.96618950367,417733.8956876993,FEAR_TRANSITION
+2018-12-20,SELL_GRADUAL,QQQ,570,145.68890380859375,83042.67517089844,22.299659882587015,22.299659882587015,330896.6413604021,415268.4574147463,FEAR_TRANSITION
+2018-12-21,SELL_GRADUAL,QQQ,570,141.17352294921875,80468.90808105469,19.58576040567819,19.58576040567819,411365.5494414568,412635.6761728525,FEAR_TRANSITION
+2018-12-27,BUY_GRADUAL,ZS,2566,40.16999816894531,103076.21530151367,27.938844950891582,27.938844950891582,308289.3341399431,412683.14164316654,GREED_TRANSITION
+2018-12-28,BUY_GRADUAL,AMD,5785,17.81999969482422,103088.6982345581,26.23355835507341,26.23355835507341,205200.63590538502,411732.7498089075,GREED_TRANSITION
+2018-12-31,BUY_GRADUAL,MDB,1231,83.73999786376953,103083.9373703003,30.089955926210273,30.089955926210273,102116.69853508472,413961.4327007532,GREED_TRANSITION
+2019-04-24,SELL_GRADUAL,ZS,641,64.98999786376953,41658.58863067627,74.73809260902496,74.73809260902496,143775.287165761,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,AMD,1446,28.459999084472656,41153.15867614746,74.73809260902496,74.73809260902496,184928.44584190845,601725.5841990709,QQQ_TRANSITION
+2019-04-24,SELL_GRADUAL,MDB,307,135.16000366210938,41494.12112426758,74.73809260902496,74.73809260902496,226422.56696617603,601725.5841990709,QQQ_TRANSITION
+2019-04-24,BUY_GRADUAL,QQQ,825,182.33738708496094,150428.34434509277,74.73809260902496,74.73809260902496,75994.22262108326,601725.5841990709,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,ZS,641,66.95999908447266,42921.35941314697,74.47201415715975,74.47201415715975,118915.58203423023,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,AMD,1446,27.65999984741211,39996.35977935791,74.47201415715975,74.47201415715975,158911.94181358814,604944.3393937349,QQQ_TRANSITION
+2019-04-25,SELL_GRADUAL,MDB,307,137.66000366210938,42261.62112426758,74.47201415715975,74.47201415715975,201173.56293785572,604944.3393937349,QQQ_TRANSITION
+2019-04-25,BUY_GRADUAL,QQQ,822,183.07749938964844,150489.70449829102,74.47201415715975,74.47201415715975,50683.858439564705,604944.3393937349,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,ZS,641,66.94000244140625,42908.541564941406,74.04664446450204,74.04664446450204,93592.40000450611,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,AMD,1446,27.8799991607666,40314.478786468506,74.04664446450204,74.04664446450204,133906.87879097462,606662.1562358141,QQQ_TRANSITION
+2019-04-26,SELL_GRADUAL,MDB,307,138.97999572753906,42666.85868835449,74.04664446450204,74.04664446450204,176573.7374793291,606662.1562358141,QQQ_TRANSITION
+2019-04-26,BUY_GRADUAL,QQQ,821,183.2408905029297,150440.77110290527,74.04664446450204,74.04664446450204,26132.966376423836,606662.1562358141,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,ZS,641,68.19999694824219,43716.19804382324,74.33985266042214,74.33985266042214,69849.16442024708,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,AMD,1446,27.690000534057617,40039.740772247314,74.33985266042214,74.33985266042214,109888.90519249439,607605.7671710253,QQQ_TRANSITION
+2019-04-29,SELL_GRADUAL,MDB,307,137.5,42212.5,74.33985266042214,74.33985266042214,152101.4051924944,607605.7671710253,QQQ_TRANSITION
+2019-04-29,BUY_GRADUAL,QQQ,820,183.5964813232422,150549.1146850586,74.33985266042214,74.33985266042214,1552.2905074357986,607605.7671710253,QQQ_TRANSITION
+2020-02-28,SELL_GRADUAL,QQQ,822,199.0699005126953,163635.45822143555,20.377945426333802,20.377945426333802,165187.74872887135,658590.0816584826,FEAR_TRANSITION
+2020-03-02,SELL_GRADUAL,QQQ,822,209.34254455566406,172079.57162475586,36.64935574118489,36.64935574118489,337267.3203536272,684011.7751408815,FEAR_TRANSITION
+2020-03-03,SELL_GRADUAL,QQQ,822,202.62953186035156,166561.47518920898,29.173017969864834,29.173017969864834,503828.7955428362,672909.4515925646,FEAR_TRANSITION
+2020-03-04,SELL_GRADUAL,QQQ,822,211.08370971679688,173510.80938720703,37.762293269698624,37.762293269698624,677339.6049300432,679956.120731473,FEAR_TRANSITION
+2020-03-06,BUY_GRADUAL,MRNA,5736,29.610000610351562,169842.96350097656,24.79777800648001,24.79777800648001,507496.64142906666,679825.6721946001,GREED_TRANSITION
+2020-03-09,STOP_LOSS,MRNA,5736,24.290000915527344,139327.44525146484,16.994433907313056,16.994433907313056,646824.0866805315,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_QQQ_STOPLOSS,QQQ,744,187.23983764648438,139306.43920898438,16.994433907313056,16.994433907313056,507517.6474715471,649100.3950177431,GREED_TRANSITION
+2020-03-09,BUY_GRADUAL,TSLA,4190,40.53333282470703,169834.66453552246,16.994433907313056,16.994433907313056,337682.98293602467,649100.3950177431,GREED_TRANSITION
+2020-03-10,BUY_GRADUAL,MRVL,7509,22.620569229125977,169857.85434150696,24.7215849676679,24.7215849676679,167825.1285945177,667229.5989590883,GREED_TRANSITION
+2020-03-12,STOP_LOSS,MRVL,7509,19.063262939453125,143146.04141235352,17.297952141169375,17.297952141169375,310971.1700068712,597219.0562878847,VOLATILE_STOCKS
+2020-03-12,BUY_QQQ_STOPLOSS,QQQ,834,171.52120971679688,143048.6889038086,17.297952141169375,17.297952141169375,167922.48110306263,597219.0562878847,VOLATILE_STOCKS
+2020-03-16,STOP_LOSS,TSLA,4190,29.67133331298828,124322.8865814209,19.126240915184,19.126240915184,292245.3676844835,552585.3837367296,VOLATILE_STOCKS
+2020-03-16,BUY_QQQ_STOPLOSS,QQQ,759,163.7635040283203,124296.49955749512,19.126240915184,19.126240915184,167948.8681269884,552585.3837367296,VOLATILE_STOCKS
+2020-06-03,BUY_GRADUAL,QQQ,185,229.43759155273438,42445.95443725586,78.64383713986213,78.64383713986213,125502.91368973255,707212.8291083574,QQQ_TRANSITION
+2020-06-04,BUY_GRADUAL,QQQ,187,227.82846069335938,42603.9221496582,79.05391554632061,79.05391554632061,82898.99154007435,703082.4960223436,QQQ_TRANSITION
+2020-06-05,BUY_GRADUAL,QQQ,183,232.3456268310547,42519.24971008301,83.9440139783205,83.9440139783205,40379.74182999134,715283.7573214769,QQQ_TRANSITION
+2022-01-26,SELL_GRADUAL,QQQ,723,336.8142395019531,243516.6951599121,24.061477932967016,24.061477932967016,283896.43698990345,1018472.5361949205,FEAR_TRANSITION
+2022-01-27,SELL_GRADUAL,QQQ,723,333.4222717285156,241064.3024597168,23.19312861351907,23.19312861351907,524960.7394496202,1011148.2586299181,FEAR_TRANSITION
+2022-01-28,SELL_GRADUAL,QQQ,723,343.8814697265625,248626.3026123047,32.47130624150118,32.47130624150118,773587.0420619249,1026391.1896373034,FEAR_TRANSITION
+2022-01-31,SELL_GRADUAL,QQQ,723,354.8782653808594,256576.98587036133,40.745889513626054,40.745889513626054,1030164.0279322863,1034683.9514399767,FEAR_TRANSITION
+2022-02-02,BUY_GRADUAL,NFLX,601,429.4800109863281,258117.4866027832,46.50000935058783,46.50000935058783,772046.5413295031,1034707.5882998705,GREED_TRANSITION
+2022-02-03,BUY_GRADUAL,PDD,4689,55.130001068115234,258504.57500839233,42.57397684804427,42.57397684804427,513541.9663211107,1020142.6742678881,GREED_TRANSITION
+2022-02-04,BUY_GRADUAL,WBD,8945,28.899999618530273,258510.4965877533,45.75812386485002,45.75812386485002,255031.46973335743,1026385.4142123461,GREED_TRANSITION
+2022-03-03,STOP_LOSS,PDD,4689,45.220001220703125,212036.58572387695,38.78432972132524,38.78432972132524,467068.0554572344,948795.3329497576,VOLATILE_STOCKS
+2022-03-03,BUY_QQQ_STOPLOSS,QQQ,633,334.55621337890625,211774.08306884766,38.78432972132524,38.78432972132524,255293.97238838673,948795.3329497576,VOLATILE_STOCKS
+2022-03-11,STOP_LOSS,WBD,8945,23.989999771118164,214590.54795265198,30.553866333660586,30.553866333660586,469884.5203410387,878854.3637820482,VOLATILE_STOCKS
+2022-03-11,BUY_QQQ_STOPLOSS,QQQ,676,317.09814453125,214358.345703125,30.553866333660586,30.553866333660586,255526.1746379137,878854.3637820482,VOLATILE_STOCKS
+2022-08-16,SELL_GRADUAL,NFLX,151,245.69000244140625,37099.190368652344,75.89323394690028,75.89323394690028,292625.36500656605,833290.0493594408,QQQ_TRANSITION
+2022-08-16,BUY_GRADUAL,QQQ,313,325.8274841308594,101984.00253295898,75.89323394690028,75.89323394690028,190641.36247360706,833290.0493594408,QQQ_TRANSITION
+2022-08-17,SELL_GRADUAL,NFLX,151,241.14999389648438,36413.64907836914,71.95888891502631,71.95888891502631,227055.0115519762,825131.600541234,QQQ_TRANSITION
+2022-08-17,BUY_GRADUAL,QQQ,316,322.1111145019531,101787.11218261719,71.95888891502631,71.95888891502631,125267.89936935902,825131.600541234,QQQ_TRANSITION
+2022-08-18,SELL_GRADUAL,NFLX,151,245.1699981689453,37020.66972351074,72.7643774387154,72.7643774387154,162288.56909286976,827835.9035960436,QQQ_TRANSITION
+2022-08-18,BUY_GRADUAL,QQQ,316,322.8857727050781,102031.90417480469,72.7643774387154,72.7643774387154,60256.66491806507,827835.9035960436,QQQ_TRANSITION
+2022-08-19,SELL_GRADUAL,NFLX,151,241.16000366210938,36415.160552978516,68.48379396098062,68.48379396098062,96671.82547104359,812946.4563647509,QQQ_TRANSITION
+2022-09-26,SELL_GRADUAL,QQQ,564,269.52557373046875,152012.42358398438,25.412070998468074,25.412070998468074,248684.24905502796,706188.6064368486,FEAR_TRANSITION
+2022-09-27,SELL_GRADUAL,QQQ,564,269.6336364746094,152073.3709716797,26.22711815731541,26.22711815731541,400757.62002670765,706398.3756018877,FEAR_TRANSITION
+2022-09-28,SELL_GRADUAL,QQQ,564,274.9972229003906,155098.4337158203,33.21082990012799,33.21082990012799,555856.053742528,712491.662078023,FEAR_TRANSITION
+2022-09-29,SELL_GRADUAL,QQQ,564,267.0697021484375,150627.31201171875,29.27070352396588,29.27070352396588,706483.3657542467,707972.9652472734,FEAR_TRANSITION
+2022-10-03,BUY_GRADUAL,BIIB,669,264.29998779296875,176816.6918334961,32.38063116058547,32.38063116058547,529666.6739207506,707985.9719649553,GREED_TRANSITION
+2022-10-04,BUY_GRADUAL,REGN,239,737.5012817382812,176262.80633544922,42.2918131346582,42.2918131346582,353403.8675853014,710158.7622882128,GREED_TRANSITION
+2022-10-05,BUY_GRADUAL,NFLX,747,236.72999572753906,176837.30680847168,41.52977712655799,41.52977712655799,176566.56077682972,707777.2871772051,GREED_TRANSITION
+2023-02-03,SELL_GRADUAL,BIIB,167,283.6300048828125,47366.21081542969,72.23030348546578,72.23030348546578,223932.7715922594,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,REGN,59,780.97119140625,46077.30029296875,72.23030348546578,72.23030348546578,270010.07188522816,827954.7001353502,QQQ_TRANSITION
+2023-02-03,SELL_GRADUAL,NFLX,186,365.8999938964844,68057.3988647461,72.23030348546578,72.23030348546578,338067.47074997425,827954.7001353502,QQQ_TRANSITION
+2023-02-03,BUY_GRADUAL,QQQ,683,301.49395751953125,205920.37298583984,72.23030348546578,72.23030348546578,132147.0977641344,827954.7001353502,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,BIIB,167,288.2799987792969,48142.75979614258,65.34324140803145,65.34324140803145,180289.85756027699,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,REGN,59,778.7074584960938,45943.74005126953,65.34324140803145,65.34324140803145,226233.59761154652,825630.6798182726,QQQ_TRANSITION
+2023-02-06,SELL_GRADUAL,NFLX,186,361.4800109863281,67235.28204345703,65.34324140803145,65.34324140803145,293468.87965500355,825630.6798182726,QQQ_TRANSITION
+2023-02-06,BUY_GRADUAL,QQQ,688,298.9436340332031,205673.22021484375,65.34324140803145,65.34324140803145,87795.6594401598,825630.6798182726,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,BIIB,167,291.42999267578125,48668.80877685547,70.27852780807376,70.27852780807376,136464.46821701527,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,REGN,59,767.8175048828125,45301.23278808594,70.27852780807376,70.27852780807376,181765.7010051012,834460.9118129015,QQQ_TRANSITION
+2023-02-07,SELL_GRADUAL,NFLX,186,362.95001220703125,67508.70227050781,70.27852780807376,70.27852780807376,249274.40327560902,834460.9118129015,QQQ_TRANSITION
+2023-02-07,BUY_GRADUAL,QQQ,674,305.1373596191406,205662.58038330078,70.27852780807376,70.27852780807376,43611.822892308235,834460.9118129015,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,BIIB,167,285.45001220703125,47670.15203857422,64.43188468733032,64.43188468733032,91281.97493088245,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,REGN,59,747.5934448242188,44108.013244628906,64.43188468733032,64.43188468733032,135389.98817551136,821817.0054217577,QQQ_TRANSITION
+2023-02-08,SELL_GRADUAL,NFLX,186,366.8299865722656,68230.3775024414,64.43188468733032,64.43188468733032,203620.36567795277,821817.0054217577,QQQ_TRANSITION
+2023-11-09,STOP_LOSS,BIIB,1,224.64999389648438,224.64999389648438,54.383852658550936,54.383852658550936,203845.01567184925,958229.0677386522,QQQ_HOLD
+2025-04-07,SELL_GRADUAL,QQQ,511,423.2146911621094,216262.7071838379,24.106379703967942,24.106379703967942,420107.72285568714,1075227.2145739794,FEAR_TRANSITION
+2025-04-08,SELL_GRADUAL,QQQ,511,415.59326171875,212368.15673828125,23.47897409359107,23.47897409359107,632475.8795939684,1063446.8414145708,FEAR_TRANSITION
+2025-04-09,SELL_GRADUAL,QQQ,511,465.47723388671875,237858.86651611328,39.00858627592589,39.00858627592589,870334.7461100817,1115042.5140486956,FEAR_TRANSITION
+2025-04-10,SELL_GRADUAL,QQQ,511,445.6794738769531,227742.21115112305,33.96020602504672,33.96020602504672,1098076.9572612047,1104615.0388365984,FEAR_TRANSITION
+2025-04-14,BUY_GRADUAL,MCHP,7155,38.58142852783203,276050.1211166382,37.444908145843534,37.444908145843534,822026.8361445665,1104757.0596286058,GREED_TRANSITION
+2025-04-15,BUY_GRADUAL,WBD,33461,8.25,276053.25,37.75161834264942,37.75161834264942,545973.5861445665,1103806.8776408434,GREED_TRANSITION
+2025-04-16,STOP_LOSS,WBD,33461,7.920000076293945,265011.1225528717,32.4554396374009,32.4554396374009,810984.7086974382,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_QQQ_STOPLOSS,QQQ,597,443.68170166015625,264877.9758911133,32.4554396374009,32.4554396374009,546106.732806325,1087112.121976018,GREED_TRANSITION
+2025-04-16,BUY_GRADUAL,AMD,3126,88.29000091552734,275994.5428619385,32.4554396374009,32.4554396374009,270112.1899443865,1087112.121976018,GREED_TRANSITION
+2025-05-20,SELL_GRADUAL,AMD,781,113.51000213623047,88651.311668396,75.62799649436673,75.62799649436673,358763.5016127825,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,SELL_GRADUAL,MCHP,1788,60.33309555053711,107875.57484436035,75.62799649436673,75.62799649436673,466639.07645714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-20,BUY_GRADUAL,QQQ,512,519.6863403320312,266079.40625,75.62799649436673,75.62799649436673,200559.67020714283,1374923.4734870195,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,AMD,781,112.05999755859375,87518.85809326172,68.96239147283873,68.96239147283873,288078.52830040455,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,SELL_GRADUAL,MCHP,1788,58.79499816894531,105125.45672607422,68.96239147283873,68.96239147283873,393203.98502647877,1355189.5948916674,QQQ_TRANSITION
+2025-05-21,BUY_GRADUAL,QQQ,520,512.4644165039062,266481.49658203125,68.96239147283873,68.96239147283873,126722.48844444752,1355189.5948916674,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,AMD,781,110.70999908447266,86464.50928497314,66.69973135428862,66.69973135428862,213186.99772942066,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,SELL_GRADUAL,MCHP,1788,58.04999923706055,103793.39863586426,66.69973135428862,66.69973135428862,316980.3963652849,1351925.0433951616,QQQ_TRANSITION
+2025-05-22,BUY_GRADUAL,QQQ,519,513.4234008789062,266466.74505615234,66.69973135428862,66.69973135428862,50513.651309132576,1351925.0433951616,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,AMD,781,110.30999755859375,86152.10809326172,62.342179974993726,62.342179974993726,136665.7594023943,1338007.1326247454,QQQ_TRANSITION
+2025-05-23,SELL_GRADUAL,MCHP,1788,56.189998626708984,100467.71754455566,62.342179974993726,62.342179974993726,237133.47694694996,1338007.1326247454,QQQ_TRANSITION

backtest/requirements_server.txt

@@ -1,157 +0,0 @@
-aiohappyeyeballs==2.6.1
-aiohttp==3.12.14
-aiosignal==1.4.0
-anyio==3.6.2
-attrs==25.3.0
-Brlapi==0.8.4
-certifi==2022.9.24
-chardet==5.1.0
-charset-normalizer==3.0.1
-click==8.1.3
-colorama==0.4.6
-cryptography==38.0.4
-cupshelpers==1.0
-dbus-python==1.3.2
-discord.py==2.5.2
-dnspython==2.3.0
-feedparser==6.0.10
-frozenlist==1.7.0
-gpg==1.18.0
-h11==0.14.0
-h2==4.1.0
-hpack==4.0.0
-httpcore==0.16.3
-httplib2==0.20.4
-httpx==0.23.3
-hyperframe==6.0.0
-idna==3.3
-louis==3.24.0
-Markdown==3.4.1
-markdown-it-py==2.1.0
-mdurl==0.1.2
-multidict==6.6.3
-musicbrainzngs==0.7.1
-mutagen==1.46.0
-propcache==0.3.2
-pycairo==1.20.1
-pycups==2.0.1
-pycurl==7.45.2
-Pygments==2.14.0
-PyGObject==3.42.2
-pyinotify==0.9.6
-pyparsing==3.0.9
-PySimpleSOAP==1.16.2
-pysmbc==1.0.23
-python-apt==2.6.0
-python-debian==0.1.49
-python-debianbts==4.0.1
-pyxdg==0.28
-PyYAML==6.0
-quodlibet==4.5.0
-reportbug==12.0.0
-requests==2.28.1
-requests-toolbelt==0.10.1
-rfc3986==1.5.0
-rich==13.3.1
-sgmllib3k==1.0.0
-six==1.16.0
-sniffio==1.2.0
-typing_extensions==4.14.1
-urllib3==1.26.12
-xdg==5
-yarl==1.20.1
-
-
-
-
-    will@debian  ~  18:13  python3 --version
-  python --version
-Python 3.11.2
--bash: python: command not found
-    will@debian  ~  18:13  pip3 --version
-pip 23.0.1 from /usr/lib/python3/dist-packages/pip (python 3.11)
-    will@debian  ~  18:13    pip3 list
-Package            Version
------------------- ---------
-aiohappyeyeballs   2.6.1
-aiohttp            3.12.14
-aiosignal          1.4.0
-anyio              3.6.2
-attrs              25.3.0
-Brlapi             0.8.4
-certifi            2022.9.24
-chardet            5.1.0
-charset-normalizer 3.0.1
-click              8.1.3
-colorama           0.4.6
-cryptography       38.0.4
-cupshelpers        1.0
-dbus-python        1.3.2
-discord.py         2.5.2
-dnspython          2.3.0
-feedparser         6.0.10
-frozenlist         1.7.0
-gpg                1.18.0
-h11                0.14.0
-h2                 4.1.0
-hpack              4.0.0
-httpcore           0.16.3
-httplib2           0.20.4
-httpx              0.23.3
-hyperframe         6.0.0
-idna               3.3
-louis              3.24.0
-Markdown           3.4.1
-markdown-it-py     2.1.0
-mdurl              0.1.2
-multidict          6.6.3
-musicbrainzngs     0.7.1
-mutagen            1.46.0
-pip                23.0.1
-propcache          0.3.2
-pycairo            1.20.1
-pycups             2.0.1
-pycurl             7.45.2
-Pygments           2.14.0
-PyGObject          3.42.2
-pyinotify          0.9.6
-pyparsing          3.0.9
-PySimpleSOAP       1.16.2
-pysmbc             1.0.23
-python-apt         2.6.0
-python-debian      0.1.49
-python-debianbts   4.0.1
-pyxdg              0.28
-PyYAML             6.0
-quodlibet          4.5.0
-reportbug          12.0.0
-requests           2.28.1
-requests-toolbelt  0.10.1
-rfc3986            1.5.0
-rich               13.3.1
-setuptools         66.1.1
-sgmllib3k          1.0.0
-six                1.16.0
-sniffio            1.2.0
-typing_extensions  4.14.1
-urllib3            1.26.12
-wheel              0.38.4
-xdg                5
-yarl               1.20.1
-    will@debian  ~  18:14
-    will@debian  ~  18:14  cat /etc/os-release
-  uname -a
-PRETTY_NAME="Debian GNU/Linux 12 (bookworm)"
-NAME="Debian GNU/Linux"
-VERSION_ID="12"
-VERSION="12 (bookworm)"
-VERSION_CODENAME=bookworm
-ID=debian
-HOME_URL="https://www.debian.org/"
-SUPPORT_URL="https://www.debian.org/support"
-BUG_REPORT_URL="https://bugs.debian.org/"
-Linux debian 6.1.0-37-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.140-1 (2025-05-22) x86_64 GNU/Linux
-    will@debian  ~  18:14   pip3 freeze > requirements_server.txt
-    will@debian  ~  18:14  ls
-back_up  backup_docker.sh  discord_tokens_backup.txt  docker  docker_backups  homeassistant  requirements_server.txt
-    will@debian  ~  18:14

backtest/strategy/emotional-damage/README_CONFIG.md

@@ -0,0 +1,156 @@
+# Enhanced Emotional Damage Strategy - 配置化运行指南
+
+## 🚀 快速开始
+
+只需要两个步骤就能运行策略并生成完整报告：
+
+1. **修改配置文件** `config.json`
+2. **运行策略** `python3 run_strategy_with_config.py`
+
+## 📝 配置文件说明
+
+### `config.json` 主要参数：
+
+#### 策略参数 (`strategy_params`)
+```json
+{
+  "initial_capital": 100000,        // 初始资金
+  "fear_threshold": 25,             // 恐慌阈值
+  "greed_threshold": 75,            // 贪婪阈值  
+  "stop_loss_threshold": 0.15,      // 止损阈值 (15%)
+  "transition_steps": 4,            // 转换步数
+  "top_stocks_count": 4,            // 选股数量
+  "volatility_threshold": 0.1,      // 波动率阈值 (10%)
+  "volatility_calculation_days": 30 // 波动率计算天数
+}
+```
+
+#### 技术指标参数 (`technical_indicators`)
+```json
+{
+  "rsi_threshold": 30,              // RSI阈值
+  "required_indicators": 2,         // 需要满足的指标数量 (2/3)
+  "sma5_above_sma20": true,         // 是否要求SMA5>SMA20
+  "macd_convergence": true,         // MACD收敛而非金叉
+  "ema_periods": {
+    "fast": 12, "slow": 26, "signal": 9
+  },
+  "sma_periods": {
+    "fast": 5, "slow": 20
+  },
+  "rsi_period": 14
+}
+```
+
+#### 输出设置 (`output_settings`)
+```json
+{
+  "generate_pdf": true,             // 生成PDF报告
+  "generate_csv": true,             // 生成CSV文件  
+  "generate_detailed_trades": true, // 生成详细交易记录
+  "show_console_output": true,      // 显示控制台输出
+  "save_strategy_object": true      // 保存策略对象
+}
+```
+
+## 🎯 常用修改场景
+
+### 场景1：调整风险参数
+```json
+{
+  "stop_loss_threshold": 0.10,     // 改为10%止损
+  "fear_threshold": 20,            // 更激进的恐慌阈值
+  "greed_threshold": 80            // 更保守的贪婪阈值
+}
+```
+
+### 场景2：修改选股逻辑
+```json
+{
+  "top_stocks_count": 6,           // 选择6只股票
+  "required_indicators": 3,        // 要求所有3个指标都满足
+  "volatility_threshold": 0.15     // 提高波动率要求
+}
+```
+
+### 场景3：技术指标调优
+```json
+{
+  "rsi_threshold": 40,             // 提高RSI要求
+  "sma5_above_sma20": false,       // 取消SMA要求
+  "macd_convergence": false        // 改为传统MACD金叉
+}
+```
+
+### 场景4：只生成特定报告
+```json
+{
+  "generate_pdf": false,           // 不生成PDF
+  "generate_csv": true,            // 只要CSV
+  "generate_detailed_trades": true,
+  "show_console_output": false     // 静默运行
+}
+```
+
+## 📊 运行和输出
+
+### 运行命令
+```bash
+cd /home/will/docker/backtest/strategy/emotional-damage/
+python3 run_strategy_with_config.py
+```
+
+### 输出文件
+运行后会在以下目录生成文件：
+
+#### `/home/will/docker/backtest/reports/`
+- `enhanced_strategy_report_YYYYMMDD_HHMMSS.pdf` - PDF综合报告
+- `enhanced_trades_YYYYMMDD_HHMMSS.csv` - 交易记录CSV
+- `detailed_trades_YYYYMMDD_HHMMSS.txt` - 详细交易报告
+
+#### `/home/will/docker/backtest/results/`
+- `enhanced_strategy_YYYYMMDD_HHMMSS.pkl` - 策略对象（用于进一步分析）
+
+## 🔧 常见问题
+
+### Q: 如何测试不同的参数组合？
+A: 复制config.json为不同文件名（如config_test1.json），修改run_strategy_with_config.py中的文件名
+
+### Q: 如何只测试特定时间段？
+A: 修改config.json中的data_settings：
+```json
+{
+  "start_date": "2020-01-01",
+  "end_date": "2023-12-31"
+}
+```
+
+### Q: 如何加快运行速度？
+A: 设置output_settings：
+```json
+{
+  "generate_pdf": false,
+  "show_console_output": false
+}
+```
+
+### Q: 如何分析特定股票的表现？
+A: 查看生成的CSV文件，按ticker列筛选
+
+## 📈 性能调优建议
+
+1. **保守策略**：提高fear_threshold到30，降低greed_threshold到70
+2. **激进策略**：降低fear_threshold到20，提高greed_threshold到80  
+3. **严格选股**：设置required_indicators为3，提高volatility_threshold
+4. **宽松选股**：设置required_indicators为1，降低rsi_threshold
+
+## 🚨 注意事项
+
+1. 修改配置后记得保存文件
+2. 确保数据库路径正确
+3. 首次运行可能需要几分钟时间
+4. 大幅修改参数可能导致无交易或过度交易
+
+---
+
+Happy Trading! 🎯

backtest/strategy/emotional-damage/backtest_emotional_damage.py

@@ -3,9 +3,11 @@ import pandas as pd
 import numpy as np
 from datetime import datetime, timedelta
 import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
 import seaborn as sns
 from matplotlib.backends.backend_pdf import PdfPages
 import warnings
+import os
 warnings.filterwarnings('ignore')
 
 class EmotionalDamageStrategy:
@@ -21,7 +23,11 @@ class EmotionalDamageStrategy:
         
     def get_data(self):
         """Load Fear & Greed Index and QQQ/SPY data"""
-        conn = sqlite3.connect('data/stock_data.db')
+        import os
+        script_dir = os.path.dirname(os.path.abspath(__file__))
+        backtest_dir = os.path.dirname(os.path.dirname(script_dir))
+        db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
+        conn = sqlite3.connect(db_path)
         
         # Get Fear & Greed Index
         fg_data = pd.read_sql_query('''
@@ -32,14 +38,14 @@ class EmotionalDamageStrategy:
         fg_data['date'] = pd.to_datetime(fg_data['date'])
         fg_data.set_index('date', inplace=True)
         
-        # Get QQQ price data (using SPY as proxy since QQQ data might be limited)
+        # Get real QQQ price data
-        spy_data = pd.read_sql_query('''
+        qqq_data = pd.read_sql_query('''
-            SELECT date, spy_close
+            SELECT date, close as qqq_close
-            FROM fear_greed_data
+            FROM qqq
             ORDER BY date
         ''', conn)
-        spy_data['date'] = pd.to_datetime(spy_data['date'])
+        qqq_data['date'] = pd.to_datetime(qqq_data['date'])
-        spy_data.set_index('date', inplace=True)
+        qqq_data.set_index('date', inplace=True)
         
         # Get available tickers for high volatility selection
         cursor = conn.cursor()
@@ -49,7 +55,7 @@ class EmotionalDamageStrategy:
         conn.close()
         
         # Merge data
-        self.data = pd.merge(fg_data, spy_data, left_index=True, right_index=True, how='inner')
+        self.data = pd.merge(fg_data, qqq_data, left_index=True, right_index=True, how='inner')
         self.data.sort_index(inplace=True)
         
         print(f"Loaded data from {self.data.index.min().strftime('%Y-%m-%d')} to {self.data.index.max().strftime('%Y-%m-%d')}")
@@ -57,7 +63,11 @@ class EmotionalDamageStrategy:
         
     def get_stock_price(self, ticker, date):
         """Get stock price for a specific ticker and date"""
-        conn = sqlite3.connect('data/stock_data.db')
+        import os
+        script_dir = os.path.dirname(os.path.abspath(__file__))
+        backtest_dir = os.path.dirname(os.path.dirname(script_dir))
+        db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
+        conn = sqlite3.connect(db_path)
         
         query = f'''
             SELECT close FROM {ticker.lower()} 
@@ -76,7 +86,11 @@ class EmotionalDamageStrategy:
     def calculate_volatility(self, tickers, start_date, end_date):
         """Calculate historical volatility for tickers during fear period"""
         volatilities = {}
-        conn = sqlite3.connect('data/stock_data.db')
+        import os
+        script_dir = os.path.dirname(os.path.abspath(__file__))
+        backtest_dir = os.path.dirname(os.path.dirname(script_dir))
+        db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
+        conn = sqlite3.connect(db_path)
         
         for ticker in tickers:
             try:
@@ -118,7 +132,7 @@ class EmotionalDamageStrategy:
         """Execute a trade and record it"""
         if action == 'BUY_QQQ':
             # Buy QQQ with all cash
-            price = self.data.loc[date, 'spy_close']  # Using SPY as QQQ proxy
+            price = self.data.loc[date, 'qqq_close']  # Using real QQQ price
             shares = self.cash / price
             self.positions['QQQ'] = shares
             self.cash = 0
@@ -135,7 +149,7 @@ class EmotionalDamageStrategy:
             # Sell all QQQ
             if 'QQQ' in self.positions:
                 shares = self.positions['QQQ']
-                price = self.data.loc[date, 'spy_close']
+                price = self.data.loc[date, 'qqq_close']
                 self.cash = shares * price
                 del self.positions['QQQ']
                 self.trades.append({
@@ -190,7 +204,7 @@ class EmotionalDamageStrategy:
         
         for ticker, shares in self.positions.items():
             if ticker == 'QQQ':
-                price = self.data.loc[date, 'spy_close']
+                price = self.data.loc[date, 'qqq_close']
             else:
                 price = self.get_stock_price(ticker, date)
                 
@@ -304,18 +318,35 @@ def run_emotional_damage_backtest():
     portfolio_df.set_index('date', inplace=True)
     
     # Get benchmark data (QQQ and SPY)
-    conn = sqlite3.connect('data/stock_data.db')
+    import os
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    backtest_dir = os.path.dirname(os.path.dirname(script_dir))
+    db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
+    conn = sqlite3.connect(db_path)
     
-    benchmark_data = pd.read_sql_query('''
+    # Get QQQ data
+    qqq_data = pd.read_sql_query('''
+        SELECT date, close as qqq_close
+        FROM qqq
+        ORDER BY date
+    ''', conn)
+    qqq_data['date'] = pd.to_datetime(qqq_data['date'])
+    qqq_data.set_index('date', inplace=True)
+    
+    # Get SPY data
+    spy_data = pd.read_sql_query('''
         SELECT date, spy_close
         FROM fear_greed_data
         ORDER BY date
     ''', conn)
-    benchmark_data['date'] = pd.to_datetime(benchmark_data['date'])
+    spy_data['date'] = pd.to_datetime(spy_data['date'])
-    benchmark_data.set_index('date', inplace=True)
+    spy_data.set_index('date', inplace=True)
     
     conn.close()
     
+    # Merge benchmark data
+    benchmark_data = pd.merge(qqq_data, spy_data, left_index=True, right_index=True, how='inner')
+    
     # Align dates
     common_dates = portfolio_df.index.intersection(benchmark_data.index)
     portfolio_df = portfolio_df.loc[common_dates]
@@ -323,10 +354,9 @@ def run_emotional_damage_backtest():
     
     # Normalize to starting value for comparison
     start_value = 100000
-    portfolio_df['normalized'] = portfolio_df['value']
     
-    # Create QQQ and SPY buy-and-hold benchmarks
+    # Create QQQ and SPY buy-and-hold benchmarks with correct data
-    benchmark_data['qqq_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
+    benchmark_data['qqq_value'] = start_value * (benchmark_data['qqq_close'] / benchmark_data['qqq_close'].iloc[0])
     benchmark_data['spy_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
     
     # Calculate performance metrics
@@ -343,6 +373,228 @@ def run_emotional_damage_backtest():
         'spy_metrics': spy_metrics
     }
 
+def generate_original_pdf_report(results, reports_dir="/home/will/docker/backtest/reports"):
+    """Generate PDF report for original emotional damage strategy"""
+    strategy = results['strategy']
+    portfolio_df = results['portfolio_df']
+    benchmark_data = results['benchmark_data']
+    strategy_metrics = results['strategy_metrics']
+    qqq_metrics = results['qqq_metrics']
+    spy_metrics = results['spy_metrics']
+    
+    # Create output directory
+    os.makedirs(reports_dir, exist_ok=True)
+    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+    
+    # Prepare trades data
+    trades_df = pd.DataFrame(strategy.trades)
+    
+    # Find max drawdown year
+    def find_max_drawdown_year(returns):
+        peak = returns.expanding().max()
+        drawdown = (returns - peak) / peak
+        max_dd_date = drawdown.idxmin()
+        return max_dd_date.year
+    
+    strategy_dd_year = find_max_drawdown_year(portfolio_df['value'])
+    qqq_dd_year = find_max_drawdown_year(benchmark_data['qqq_value'])
+    spy_dd_year = find_max_drawdown_year(benchmark_data['spy_value'])
+    
+    # Create PDF
+    pdf_file = os.path.join(reports_dir, f'original_emotional_damage_strategy_report_{timestamp}.pdf')
+    
+    with PdfPages(pdf_file) as pdf:
+        # Set global font parameters
+        plt.rcParams['font.size'] = 10
+        plt.rcParams['axes.titlesize'] = 12
+        plt.rcParams['axes.labelsize'] = 10
+        plt.rcParams['xtick.labelsize'] = 8
+        plt.rcParams['ytick.labelsize'] = 8
+        plt.rcParams['legend.fontsize'] = 8
+        plt.rcParams['figure.titlesize'] = 14
+        
+        # Page 1: Performance Comparison
+        fig1 = plt.figure(figsize=(8.5, 11))
+        fig1.suptitle('Original Emotional Damage Strategy Report', fontsize=16, fontweight='bold', y=0.96)
+        
+        # 1. Total Return Curve
+        ax1 = plt.subplot(4, 1, 1)
+        ax1.plot(portfolio_df.index, portfolio_df['value'] / 1000, 
+                 label='Original Strategy', linewidth=2, color='red')
+        ax1.plot(benchmark_data.index, benchmark_data['qqq_value'] / 1000, 
+                 label='QQQ', linewidth=2, color='blue')
+        ax1.plot(benchmark_data.index, benchmark_data['spy_value'] / 1000, 
+                 label='SPY', linewidth=2, color='green')
+        ax1.set_title('Portfolio Performance Comparison', fontsize=14, fontweight='bold', pad=25)
+        ax1.set_ylabel('Portfolio Value ($K)', fontsize=11)
+        ax1.legend(fontsize=10, loc='upper left')
+        ax1.grid(True, alpha=0.3)
+        ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
+        for label in ax1.get_xticklabels():
+            label.set_rotation(45)
+        
+        # 2. Performance Metrics Table
+        ax2 = plt.subplot(4, 1, 2)
+        ax2.axis('off')
+        
+        metrics_data = [
+            ['Metric', 'Original Strategy', 'QQQ', 'SPY'],
+            ['Total Return', f"{strategy_metrics['total_return']:.1f}%", 
+             f"{qqq_metrics['total_return']:.1f}%", f"{spy_metrics['total_return']:.1f}%"],
+            ['Annual Return', f"{strategy_metrics['annual_return']:.1f}%", 
+             f"{qqq_metrics['annual_return']:.1f}%", f"{spy_metrics['annual_return']:.1f}%"],
+            ['Max Drawdown', f"{strategy_metrics['max_drawdown']:.1f}%", 
+             f"{qqq_metrics['max_drawdown']:.1f}%", f"{spy_metrics['max_drawdown']:.1f}%"],
+            ['Max DD Year', str(strategy_dd_year), str(qqq_dd_year), str(spy_dd_year)],
+            ['Sharpe Ratio', f"{strategy_metrics['sharpe_ratio']:.2f}", 
+             f"{qqq_metrics['sharpe_ratio']:.2f}", f"{spy_metrics['sharpe_ratio']:.2f}"],
+            ['Total Trades', f"{len(strategy.trades)}", 'N/A', 'N/A']
+        ]
+        
+        table = ax2.table(cellText=metrics_data, cellLoc='center', loc='center')
+        table.auto_set_font_size(False)
+        table.set_fontsize(10)
+        table.scale(1.2, 2.0)
+        
+        for i in range(len(metrics_data[0])):
+            table[(0, i)].set_facecolor('#40466e')
+            table[(0, i)].set_text_props(weight='bold', color='white')
+        
+        ax2.set_title('Performance Metrics Comparison', fontsize=14, fontweight='bold', pad=25)
+        
+        # 3. Strategy State Timeline
+        ax3 = plt.subplot(4, 1, 3)
+        
+        state_colors = {
+            'QQQ_HOLD': 'blue',
+            'CASH_WAIT': 'gray',
+            'VOLATILE_STOCKS': 'red'
+        }
+        
+        for state, color in state_colors.items():
+            state_data = portfolio_df[portfolio_df['state'] == state]
+            if not state_data.empty:
+                ax3.scatter(state_data.index, state_data['value'] / 1000, 
+                           c=color, s=2, alpha=0.8, label=state)
+        
+        ax3.set_title('Strategy State Timeline', fontsize=14, fontweight='bold', pad=25)
+        ax3.set_ylabel('Total Assets ($K)', fontsize=11)
+        ax3.legend(bbox_to_anchor=(1.02, 1), loc='upper left', fontsize=8)
+        ax3.grid(True, alpha=0.3)
+        ax3.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
+        for label in ax3.get_xticklabels():
+            label.set_rotation(45)
+        
+        # 4. Annual Returns Comparison
+        ax4 = plt.subplot(4, 1, 4)
+        years = list(strategy_metrics['annual_returns'].keys())
+        original_returns = list(strategy_metrics['annual_returns'].values())
+        qqq_returns = [qqq_metrics['annual_returns'].get(year, 0) for year in years]
+        spy_returns = [spy_metrics['annual_returns'].get(year, 0) for year in years]
+        
+        x = np.arange(len(years))
+        width = 0.25
+        
+        ax4.bar(x - width, original_returns, width, label='Original Strategy', color='red', alpha=0.8)
+        ax4.bar(x, qqq_returns, width, label='QQQ', color='blue', alpha=0.8)
+        ax4.bar(x + width, spy_returns, width, label='SPY', color='green', alpha=0.8)
+        
+        ax4.set_title('Annual Returns Comparison by Year', fontsize=14, fontweight='bold', pad=25)
+        ax4.set_ylabel('Annual Return (%)', fontsize=11)
+        ax4.set_xlabel('Year', fontsize=11)
+        ax4.set_xticks(x)
+        ax4.set_xticklabels(years)
+        for label in ax4.get_xticklabels():
+            label.set_rotation(90)
+        ax4.legend(fontsize=10)
+        ax4.grid(True, alpha=0.3, axis='y')
+        
+        plt.subplots_adjust(left=0.1, right=0.85, top=0.90, bottom=0.08, hspace=0.6)
+        pdf.savefig(fig1, bbox_inches='tight', dpi=150)
+        plt.close()
+        
+        # Page 2: Detailed Analysis
+        fig2 = plt.figure(figsize=(8.5, 11))
+        fig2.suptitle('Detailed Trading and Market Analysis', fontsize=16, fontweight='bold', y=0.95)
+        
+        # 5. Trading Activity by Year
+        ax5 = plt.subplot(3, 1, 1)
+        
+        trades_df_copy = trades_df.copy()
+        trades_df_copy['year'] = trades_df_copy['date'].dt.year
+        trade_frequency = trades_df_copy.groupby('year').size()
+        
+        ax5.bar(trade_frequency.index, trade_frequency.values, color='purple', alpha=0.8, width=0.6)
+        ax5.set_title('Trading Activity by Year', fontsize=14, fontweight='bold', pad=30)
+        ax5.set_ylabel('Number of Trades', fontsize=11)
+        ax5.set_xlabel('Year', fontsize=11)
+        ax5.grid(True, alpha=0.3, axis='y')
+        for label in ax5.get_xticklabels():
+            label.set_rotation(45)
+        
+        # 6. Trade Type Distribution
+        ax6 = plt.subplot(3, 1, 2)
+        
+        action_counts = trades_df['action'].value_counts()
+        ax6.pie(action_counts.values, labels=action_counts.index, autopct='%1.1f%%', startangle=90)
+        ax6.set_title('Trade Type Distribution', fontsize=14, fontweight='bold', pad=30)
+        
+        # 7. Fear & Greed Index with Trading Signals
+        ax7 = plt.subplot(3, 1, 3)
+        
+        fg_data = portfolio_df['fg_index'].dropna()
+        ax7.plot(fg_data.index, fg_data.values, color='purple', alpha=0.8, linewidth=1.5)
+        ax7.axhline(y=25, color='red', linestyle='--', alpha=0.7, linewidth=2, label='Fear Threshold (25)')
+        ax7.axhline(y=75, color='green', linestyle='--', alpha=0.7, linewidth=2, label='Greed Threshold (75)')
+        ax7.fill_between(fg_data.index, 0, 25, alpha=0.2, color='red', label='Fear Zone')
+        ax7.fill_between(fg_data.index, 75, 100, alpha=0.2, color='green', label='Greed Zone')
+        
+        # Add trade markers
+        buy_trades = trades_df[trades_df['action'].str.contains('BUY')]
+        sell_trades = trades_df[trades_df['action'].str.contains('SELL')]
+        
+        if not buy_trades.empty:
+            ax7.scatter(buy_trades['date'], [50] * len(buy_trades), 
+                       color='darkgreen', s=15, alpha=0.8, marker='^', label='Buy Signals', zorder=5)
+        if not sell_trades.empty:
+            ax7.scatter(sell_trades['date'], [50] * len(sell_trades), 
+                       color='darkred', s=15, alpha=0.8, marker='v', label='Sell Signals', zorder=5)
+        
+        ax7.set_title('Fear & Greed Index with Trading Signals', fontsize=14, fontweight='bold', pad=30)
+        ax7.set_ylabel('CNN Fear & Greed Index', fontsize=11)
+        ax7.set_xlabel('Date', fontsize=11)
+        ax7.set_ylim(0, 100)
+        ax7.legend(bbox_to_anchor=(1.02, 1), loc='upper left', fontsize=8)
+        ax7.grid(True, alpha=0.3)
+        ax7.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
+        for label in ax7.get_xticklabels():
+            label.set_rotation(45)
+        
+        plt.subplots_adjust(left=0.1, right=0.85, top=0.88, bottom=0.10, hspace=1.0)
+        pdf.savefig(fig2, bbox_inches='tight', dpi=150)
+        plt.close()
+    
+    # Validate PDF
+    try:
+        file_size = os.path.getsize(pdf_file)
+        print(f"📈 PDF报告已保存: {pdf_file} (Size: {file_size:,} bytes)")
+        
+        with open(pdf_file, 'rb') as f:
+            header = f.read(10)
+            if header.startswith(b'%PDF'):
+                print(f"✅ PDF file validation passed")
+            else:
+                print(f"⚠️ Warning: Generated file may not be a valid PDF")
+                
+    except Exception as e:
+        print(f"⚠️ Error validating PDF: {e}")
+    
+    return pdf_file
+
 if __name__ == "__main__":
     results = run_emotional_damage_backtest()
-    print("Backtest completed! Results ready for PDF generation.")
+    print("Backtest completed! Generating PDF report...")
+    
+    # Generate PDF report
+    pdf_file = generate_original_pdf_report(results)
+    print(f"🎉 Original Emotional Damage Strategy report generated: {pdf_file}")

backtest/strategy/emotional-damage/backtest_emotional_damage_enhanced.py

@@ -1,600 +0,0 @@
-import sqlite3
-import pandas as pd
-import numpy as np
-from datetime import datetime, timedelta
-import matplotlib.pyplot as plt
-import seaborn as sns
-from matplotlib.backends.backend_pdf import PdfPages
-import warnings
-warnings.filterwarnings('ignore')
-
-class EnhancedEmotionalDamageStrategy:
-    def __init__(self, initial_capital=100000):
-        self.initial_capital = initial_capital
-        self.cash = initial_capital
-        self.positions = {}  # ticker: shares
-        self.portfolio_value = []
-        self.trades = []
-        self.fear_threshold = 25
-        self.greed_threshold = 75
-        self.top_stocks_count = 10
-        self.stop_loss_threshold = 0.15  # 15% stop loss
-        
-        # New state management for gradual transitions
-        self.state = 'QQQ_HOLD'  # QQQ_HOLD, FEAR_TRANSITION, GREED_TRANSITION, VOLATILE_STOCKS
-        self.transition_steps = 4
-        self.current_transition_step = 0
-        self.transition_target = None
-        self.transition_stocks = []
-        self.last_fear_date = None
-        self.last_greed_date = None
-        
-    def get_data(self):
-        """Load Fear & Greed Index and stock data"""
-        conn = sqlite3.connect('data/stock_data.db')
-        
-        # Get Fear & Greed Index
-        fg_data = pd.read_sql_query('''
-            SELECT date, fear_greed_index 
-            FROM fear_greed_index 
-            ORDER BY date
-        ''', conn)
-        fg_data['date'] = pd.to_datetime(fg_data['date'])
-        fg_data.set_index('date', inplace=True)
-        
-        # Get QQQ price data
-        spy_data = pd.read_sql_query('''
-            SELECT date, spy_close
-            FROM fear_greed_data
-            ORDER BY date
-        ''', conn)
-        spy_data['date'] = pd.to_datetime(spy_data['date'])
-        spy_data.set_index('date', inplace=True)
-        
-        # Get available tickers
-        cursor = conn.cursor()
-        cursor.execute('SELECT ticker FROM ticker_list WHERE records > 1000')
-        self.available_tickers = [row[0] for row in cursor.fetchall()]
-        
-        conn.close()
-        
-        # Merge data
-        self.data = pd.merge(fg_data, spy_data, left_index=True, right_index=True, how='inner')
-        self.data.sort_index(inplace=True)
-        
-        print(f"Loaded data from {self.data.index.min().strftime('%Y-%m-%d')} to {self.data.index.max().strftime('%Y-%m-%d')}")
-        print(f"Available tickers for selection: {len(self.available_tickers)}")
-        
-    def get_stock_price(self, ticker, date):
-        """Get stock price for a specific ticker and date"""
-        conn = sqlite3.connect('data/stock_data.db')
-        
-        query = f'''
-            SELECT close FROM {ticker.lower()} 
-            WHERE date <= ? 
-            ORDER BY date DESC 
-            LIMIT 1
-        '''
-        
-        cursor = conn.cursor()
-        cursor.execute(query, (date.strftime('%Y-%m-%d'),))
-        result = cursor.fetchone()
-        conn.close()
-        
-        return result[0] if result else None
-    
-    def get_stock_data(self, ticker, start_date, end_date):
-        """Get historical stock data for technical analysis"""
-        conn = sqlite3.connect('data/stock_data.db')
-        
-        query = f'''
-            SELECT date, open, high, low, close, volume 
-            FROM {ticker.lower()}
-            WHERE date >= ? AND date <= ?
-            ORDER BY date
-        '''
-        
-        df = pd.read_sql_query(query, conn, params=(
-            start_date.strftime('%Y-%m-%d'), 
-            end_date.strftime('%Y-%m-%d')
-        ))
-        conn.close()
-        
-        if not df.empty:
-            df['date'] = pd.to_datetime(df['date'])
-            df.set_index('date', inplace=True)
-            return df
-        return None
-    
-    def calculate_technical_indicators(self, df):
-        """Calculate MACD, RSI, and EMA indicators"""
-        if len(df) < 50:  # Need sufficient data
-            return None
-            
-        # RSI
-        delta = df['close'].diff()
-        gain = (delta.where(delta > 0, 0)).rolling(window=14).mean()
-        loss = (-delta.where(delta < 0, 0)).rolling(window=14).mean()
-        rs = gain / loss
-        rsi = 100 - (100 / (1 + rs))
-        
-        # MACD
-        exp1 = df['close'].ewm(span=12).mean()
-        exp2 = df['close'].ewm(span=26).mean()
-        macd = exp1 - exp2
-        signal = macd.ewm(span=9).mean()
-        
-        # EMA
-        ema5 = df['close'].ewm(span=5).mean()
-        ema20 = df['close'].ewm(span=20).mean()
-        
-        return {
-            'rsi': rsi,
-            'macd': macd,
-            'signal': signal,
-            'ema5': ema5,
-            'ema20': ema20
-        }
-    
-    def check_signal_direction(self, indicators, df):
-        """Check if indicators are turning upward"""
-        if indicators is None:
-            return False
-            
-        signals = []
-        
-        # RSI upward turn (first derivative positive)
-        if len(indicators['rsi']) >= 3:
-            rsi_current = indicators['rsi'].iloc[-1]
-            rsi_prev = indicators['rsi'].iloc[-2]
-            rsi_slope = rsi_current - rsi_prev
-            signals.append(rsi_slope > 0)
-        
-        # MACD golden cross (MACD crosses above signal)
-        if len(indicators['macd']) >= 3:
-            macd_current = indicators['macd'].iloc[-1]
-            signal_current = indicators['signal'].iloc[-1]
-            macd_prev = indicators['macd'].iloc[-2]
-            signal_prev = indicators['signal'].iloc[-2]
-            
-            # Golden cross: macd crosses above signal
-            golden_cross = (macd_prev <= signal_prev) and (macd_current > signal_current)
-            signals.append(golden_cross)
-        
-        # EMA crossover (EMA5 crosses above EMA20)
-        if len(indicators['ema5']) >= 3:
-            ema5_current = indicators['ema5'].iloc[-1]
-            ema20_current = indicators['ema20'].iloc[-1]
-            ema5_prev = indicators['ema5'].iloc[-2]
-            ema20_prev = indicators['ema20'].iloc[-2]
-            
-            ema_crossover = (ema5_prev <= ema20_prev) and (ema5_current > ema20_current)
-            signals.append(ema_crossover)
-        
-        # Need at least 2 out of 3 signals positive
-        return sum(signals) >= 2
-    
-    def calculate_volatility(self, ticker, start_date, end_date):
-        """Calculate historical volatility for a single ticker"""
-        conn = sqlite3.connect('data/stock_data.db')
-        
-        try:
-            query = f'''
-                SELECT date, close FROM {ticker.lower()}
-                WHERE date >= ? AND date <= ?
-                ORDER BY date
-            '''
-            
-            df = pd.read_sql_query(query, conn, params=(
-                start_date.strftime('%Y-%m-%d'), 
-                end_date.strftime('%Y-%m-%d')
-            ))
-            
-            if len(df) > 10:
-                df['returns'] = df['close'].pct_change()
-                volatility = df['returns'].std() * np.sqrt(252)
-                conn.close()
-                return volatility
-                
-        except Exception as e:
-            pass
-        
-        conn.close()
-        return 0
-    
-    def select_stocks_with_technical_filter(self, fear_start_date, fear_end_date):
-        """Select stocks using technical indicators + volatility ranking"""
-        candidates = []
-        
-        # Extend the period for more data
-        extended_start = fear_start_date - timedelta(days=30)
-        extended_end = fear_end_date + timedelta(days=5)
-        
-        for ticker in self.available_tickers:
-            stock_data = self.get_stock_data(ticker, extended_start, extended_end)
-            if stock_data is not None and len(stock_data) >= 30:
-                volatility = self.calculate_volatility(ticker, fear_start_date, fear_end_date)
-                if volatility > 0.1:  # Minimum volatility threshold
-                    
-                    # Check technical indicators on recent data
-                    recent_data = stock_data.tail(30)
-                    indicators = self.calculate_technical_indicators(recent_data)
-                    
-                    # Be more lenient - accept if at least some indicators are positive
-                    technical_score = 0
-                    if indicators is not None:
-                        # Simplified scoring - just check if recent trend is up
-                        recent_trend = recent_data['close'].pct_change().tail(5).sum()
-                        if recent_trend > -0.02:  # Not strongly declining
-                            technical_score += 1
-                        
-                        # Check if RSI is not oversold
-                        if len(indicators['rsi']) > 0 and indicators['rsi'].iloc[-1] > 30:
-                            technical_score += 1
-                    
-                    # Accept if basic criteria met or if volatility is high
-                    if technical_score >= 1 or volatility > 0.5:
-                        candidates.append((ticker, volatility))
-        
-        # Sort by volatility and select top stocks
-        candidates.sort(key=lambda x: x[1], reverse=True)
-        selected = [ticker for ticker, vol in candidates[:self.top_stocks_count]]
-        
-        print(f"Selected {len(selected)} stocks from {len(candidates)} candidates")
-        if selected:
-            print(f"Top stocks: {selected}")
-        return selected
-    
-    def execute_gradual_transition(self, date, target_state):
-        """Execute gradual 4-step position transitions"""
-        if target_state == 'CASH':
-            # Gradually sell to cash
-            if self.current_transition_step < self.transition_steps:
-                step_size = 1.0 / self.transition_steps
-                step_pct = step_size * (self.current_transition_step + 1)
-                
-                # Sell portion of holdings
-                for ticker in list(self.positions.keys()):
-                    if ticker != 'QQQ':
-                        shares_to_sell = int(self.positions[ticker] * step_pct)
-                        if shares_to_sell > 0:
-                            price = self.get_stock_price(ticker, date)
-                            if price:
-                                value = shares_to_sell * price
-                                self.cash += value
-                                self.positions[ticker] -= shares_to_sell
-                                if self.positions[ticker] <= 0:
-                                    del self.positions[ticker]
-                                
-                                self.trades.append({
-                                    'date': date,
-                                    'action': 'SELL_GRADUAL',
-                                    'ticker': ticker,
-                                    'shares': shares_to_sell,
-                                    'price': price,
-                                    'value': value
-                                })
-                
-                self.current_transition_step += 1
-                if self.current_transition_step >= self.transition_steps:
-                    return True  # Transition complete
-                    
-        elif target_state == 'VOLATILE':
-            # Gradually buy volatile stocks
-            if self.current_transition_step < self.transition_steps:
-                step_size = 1.0 / self.transition_steps
-                step_pct = step_size * (self.current_transition_step + 1)
-                
-                if self.transition_stocks:
-                    amount_per_stock = (self.cash * step_pct) / len(self.transition_stocks)
-                    
-                    for ticker in self.transition_stocks:
-                        price = self.get_stock_price(ticker, date)
-                        if price:
-                            shares = amount_per_stock / price
-                            if ticker in self.positions:
-                                self.positions[ticker] += shares
-                            else:
-                                self.positions[ticker] = shares
-                            
-                            self.cash -= amount_per_stock
-                            
-                            self.trades.append({
-                                'date': date,
-                                'action': 'BUY_GRADUAL',
-                                'ticker': ticker,
-                                'shares': shares,
-                                'price': price,
-                                'value': amount_per_stock
-                            })
-                
-                self.current_transition_step += 1
-                if self.current_transition_step >= self.transition_steps:
-                    return True  # Transition complete
-                    
-        elif target_state == 'QQQ':
-            # Gradually buy QQQ
-            if self.current_transition_step < self.transition_steps:
-                step_size = 1.0 / self.transition_steps
-                step_pct = step_size * (self.current_transition_step + 1)
-                
-                qqq_price = self.data.loc[date, 'spy_close']
-                total_value = self.calculate_portfolio_value(date)
-                target_qqq_value = total_value * step_pct
-                
-                if 'QQQ' not in self.positions:
-                    self.positions['QQQ'] = 0
-                
-                shares_to_buy = (target_qqq_value - (self.positions.get('QQQ', 0) * qqq_price)) / qqq_price
-                if shares_to_buy > 0:
-                    self.positions['QQQ'] += shares_to_buy
-                    
-                    # Sell other positions proportionally
-                    other_positions = {k: v for k, v in self.positions.items() if k != 'QQQ'}
-                    for ticker, shares in other_positions.items():
-                        shares_to_sell = shares * (step_size / (1 - (self.current_transition_step * step_size)))
-                        price = self.get_stock_price(ticker, date)
-                        if price:
-                            value = shares_to_sell * price
-                            self.cash += value
-                            self.positions[ticker] -= shares_to_sell
-                            if self.positions[ticker] <= 0:
-                                del self.positions[ticker]
-                
-                self.current_transition_step += 1
-                if self.current_transition_step >= self.transition_steps:
-                    return True  # Transition complete
-        
-        return False  # Transition ongoing
-    
-    def check_stop_loss(self, date):
-        """Check for 15% stop loss and replace with QQQ"""
-        stop_loss_trades = []
-        
-        for ticker, shares in list(self.positions.items()):
-            if ticker == 'QQQ':
-                continue
-                
-            current_price = self.get_stock_price(ticker, date)
-            if current_price:
-                # Find buy price from recent trades
-                buy_trades = [t for t in self.trades if t['ticker'] == ticker and t['action'] in ['BUY_VOLATILE', 'BUY_GRADUAL']]
-                if buy_trades:
-                    avg_buy_price = sum(t['price'] * t['shares'] for t in buy_trades) / sum(t['shares'] for t in buy_trades)
-                    loss_pct = (current_price - avg_buy_price) / avg_buy_price
-                    
-                    if loss_pct <= -self.stop_loss_threshold:
-                        # Sell the losing position
-                        value = shares * current_price
-                        self.cash += value
-                        del self.positions[ticker]
-                        
-                        stop_loss_trades.append({
-                            'date': date,
-                            'action': 'STOP_LOSS',
-                            'ticker': ticker,
-                            'shares': shares,
-                            'price': current_price,
-                            'value': value,
-                            'loss_pct': loss_pct * 100
-                        })
-                        
-                        # Immediately buy QQQ with the proceeds
-                        qqq_price = self.data.loc[date, 'spy_close']
-                        qqq_shares = value / qqq_price
-                        self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
-                        
-                        stop_loss_trades.append({
-                            'date': date,
-                            'action': 'BUY_QQQ_STOPLOSS',
-                            'ticker': 'QQQ',
-                            'shares': qqq_shares,
-                            'price': qqq_price,
-                            'value': value
-                        })
-        
-        self.trades.extend(stop_loss_trades)
-        return len(stop_loss_trades) > 0
-    
-    def calculate_portfolio_value(self, date):
-        """Calculate total portfolio value at given date"""
-        total_value = self.cash
-        
-        for ticker, shares in self.positions.items():
-            if ticker == 'QQQ':
-                price = self.data.loc[date, 'spy_close']
-            else:
-                price = self.get_stock_price(ticker, date)
-                
-            if price:
-                total_value += shares * price
-                
-        return total_value
-    
-    def run_backtest(self):
-        """Run the enhanced emotional damage strategy backtest"""
-        print("Running Enhanced Emotional Damage Strategy Backtest...")
-        
-        self.get_data()
-        
-        # Start with QQQ
-        first_date = self.data.index[0]
-        qqq_price = self.data.loc[first_date, 'spy_close']
-        qqq_shares = self.cash / qqq_price
-        self.positions['QQQ'] = qqq_shares
-        self.cash = 0
-        
-        fear_start_date = None
-        greed_start_date = None
-        
-        for i, (date, row) in enumerate(self.data.iterrows()):
-            fg_index = row['fear_greed_index']
-            
-            # Check stop loss first
-            self.check_stop_loss(date)
-            
-            if self.state == 'QQQ_HOLD':
-                # Check if Fear & Greed drops below 25
-                if fg_index < self.fear_threshold:
-                    self.state = 'FEAR_TRANSITION'
-                    self.transition_target = 'CASH'
-                    self.current_transition_step = 0
-                    self.last_fear_date = date
-                    print(f"{date.strftime('%Y-%m-%d')}: Fear & Greed {fg_index:.1f} < 25, starting gradual transition to cash")
-                    
-            elif self.state == 'FEAR_TRANSITION':
-                # Continue gradual transition to cash
-                completed = self.execute_gradual_transition(date, 'CASH')
-                if completed:
-                    # Check if we should transition to volatile stocks
-                    if fg_index >= self.fear_threshold and self.last_fear_date:
-                        # Select stocks using technical filters
-                        top_stocks = self.select_stocks_with_technical_filter(
-                            self.last_fear_date, date
-                        )
-                        
-                        if top_stocks:
-                            self.transition_stocks = top_stocks
-                            self.state = 'GREED_TRANSITION'  # Transition to volatile stocks
-                            self.transition_target = 'VOLATILE'
-                            self.current_transition_step = 0
-                            print(f"{date.strftime('%Y-%m-%d')}: Fear & Greed recovered, starting transition to volatile stocks: {top_stocks}")
-                    
-                    # If fear continues, stay in cash
-                    elif fg_index < self.fear_threshold:
-                        self.state = 'CASH_WAIT'
-                        print(f"{date.strftime('%Y-%m-%d')}: Transition to cash complete, holding cash")
-                        
-            elif self.state == 'CASH_WAIT':
-                # Waiting in cash, check for recovery
-                if fg_index >= self.fear_threshold and self.last_fear_date:
-                    # Select stocks using technical filters
-                    top_stocks = self.select_stocks_with_technical_filter(
-                        self.last_fear_date, date
-                    )
-                    
-                    if top_stocks:
-                        self.transition_stocks = top_stocks
-                        self.state = 'GREED_TRANSITION'  # Transition to volatile stocks
-                        self.transition_target = 'VOLATILE'
-                        self.current_transition_step = 0
-                        print(f"{date.strftime('%Y-%m-%d')}: Fear & Greed recovered, starting transition to volatile stocks: {top_stocks}")
-                        
-            elif self.state == 'GREED_TRANSITION':
-                # Continue gradual transition to volatile stocks
-                completed = self.execute_gradual_transition(date, 'VOLATILE')
-                if completed:
-                    self.state = 'VOLATILE_STOCKS'
-                    self.last_greed_date = date
-                    print(f"{date.strftime('%Y-%m-%d')}: Transition to volatile stocks complete")
-                        
-            elif self.state == 'VOLATILE_STOCKS':
-                # Check if Fear & Greed exceeds 75 (extreme greed)
-                if fg_index > self.greed_threshold:
-                    self.state = 'FEAR_TRANSITION'  # Transition to QQQ
-                    self.transition_target = 'QQQ'
-                    self.current_transition_step = 0
-                    self.last_greed_date = date
-                    print(f"{date.strftime('%Y-%m-%d')}: Fear & Greed {fg_index:.1f} > 75, starting transition to QQQ")
-                        
-            # Record portfolio value
-            portfolio_value = self.calculate_portfolio_value(date)
-            self.portfolio_value.append({
-                'date': date,
-                'value': portfolio_value,
-                'state': self.state,
-                'fg_index': fg_index,
-                'cash': self.cash
-            })
-        
-        print(f"Backtest completed! Total trades: {len(self.trades)}")
-        
-    def calculate_performance_metrics(self, returns):
-        """Calculate performance metrics"""
-        total_return = (returns.iloc[-1] / returns.iloc[0] - 1) * 100
-        annual_return = ((returns.iloc[-1] / returns.iloc[0]) ** (252 / len(returns)) - 1) * 100
-        
-        # Calculate max drawdown
-        peak = returns.expanding().max()
-        drawdown = (returns - peak) / peak
-        max_drawdown = drawdown.min() * 100
-        
-        # Find max drawdown period
-        max_dd_date = drawdown.idxmin()
-        max_dd_year = max_dd_date.year
-        
-        # Calculate Sharpe ratio
-        daily_returns = returns.pct_change().dropna()
-        sharpe_ratio = np.sqrt(252) * daily_returns.mean() / daily_returns.std()
-        
-        # Annual returns by year
-        annual_rets = {}
-        for year in returns.index.year.unique():
-            year_data = returns[returns.index.year == year]
-            if len(year_data) > 1:
-                year_return = (year_data.iloc[-1] / year_data.iloc[0] - 1) * 100
-                annual_rets[year] = year_return
-        
-        return {
-            'total_return': total_return,
-            'annual_return': annual_return,
-            'max_drawdown': max_drawdown,
-            'max_drawdown_date': max_dd_date,
-            'max_drawdown_year': max_dd_year,
-            'sharpe_ratio': sharpe_ratio,
-            'annual_returns': annual_rets
-        }
-
-def run_enhanced_backtest():
-    """Run the enhanced emotional damage strategy"""
-    
-    # Run strategy
-    strategy = EnhancedEmotionalDamageStrategy(initial_capital=100000)
-    strategy.run_backtest()
-    
-    # Convert results to DataFrame
-    portfolio_df = pd.DataFrame(strategy.portfolio_value)
-    portfolio_df.set_index('date', inplace=True)
-    
-    # Get benchmark data
-    conn = sqlite3.connect('data/stock_data.db')
-    
-    benchmark_data = pd.read_sql_query('''
-        SELECT date, spy_close
-        FROM fear_greed_data
-        ORDER BY date
-    ''', conn)
-    benchmark_data['date'] = pd.to_datetime(benchmark_data['date'])
-    benchmark_data.set_index('date', inplace=True)
-    
-    conn.close()
-    
-    # Align dates
-    common_dates = portfolio_df.index.intersection(benchmark_data.index)
-    portfolio_df = portfolio_df.loc[common_dates]
-    benchmark_data = benchmark_data.loc[common_dates]
-    
-    # Normalize to starting value for comparison
-    start_value = 100000
-    
-    # Create QQQ and SPY buy-and-hold benchmarks
-    benchmark_data['qqq_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
-    benchmark_data['spy_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
-    
-    # Calculate performance metrics
-    strategy_metrics = strategy.calculate_performance_metrics(portfolio_df['value'])
-    qqq_metrics = strategy.calculate_performance_metrics(benchmark_data['qqq_value'])
-    spy_metrics = strategy.calculate_performance_metrics(benchmark_data['spy_value'])
-    
-    return {
-        'strategy': strategy,
-        'portfolio_df': portfolio_df,
-        'benchmark_data': benchmark_data,
-        'strategy_metrics': strategy_metrics,
-        'qqq_metrics': qqq_metrics,
-        'spy_metrics': spy_metrics
-    }
-
-if __name__ == "__main__":
-    results = run_enhanced_backtest()
-    print("Enhanced backtest completed! Results ready for PDF generation.")

backtest/strategy/emotional-damage/backtest_emotional_damage_enhanced_v2.py

@@ -46,14 +46,14 @@ class EnhancedEmotionalDamageStrategy:
         fg_data['date'] = pd.to_datetime(fg_data['date'])
         fg_data.set_index('date', inplace=True)
         
-        # Get SPY price data as QQQ proxy
+        # Get real QQQ price data
-        spy_data = pd.read_sql_query('''
+        qqq_data = pd.read_sql_query('''
-            SELECT date, spy_close
+            SELECT date, close as qqq_close
-            FROM fear_greed_data
+            FROM qqq
             ORDER BY date
         ''', conn)
-        spy_data['date'] = pd.to_datetime(spy_data['date'])
+        qqq_data['date'] = pd.to_datetime(qqq_data['date'])
-        spy_data.set_index('date', inplace=True)
+        qqq_data.set_index('date', inplace=True)
         
         # Get available tickers
         cursor = conn.cursor()
@@ -63,7 +63,7 @@ class EnhancedEmotionalDamageStrategy:
         conn.close()
         
         # Merge data
-        self.data = pd.merge(fg_data, spy_data, left_index=True, right_index=True, how='inner')
+        self.data = pd.merge(fg_data, qqq_data, left_index=True, right_index=True, how='inner')
         self.data.sort_index(inplace=True)
         
         print(f"Loaded data from {self.data.index.min().strftime('%Y-%m-%d')} to {self.data.index.max().strftime('%Y-%m-%d')}")
@@ -91,15 +91,19 @@ class EnhancedEmotionalDamageStrategy:
         
         return result[0] if result else None
     
-    def calculate_volatility(self, ticker, start_date, end_date):
+    def calculate_volatility(self, ticker, current_date):
-        """Calculate historical volatility"""
+        """Calculate historical volatility over the past month"""
         import os
+        from datetime import timedelta
         script_dir = os.path.dirname(os.path.abspath(__file__))
         backtest_dir = os.path.dirname(os.path.dirname(script_dir))
         db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
         conn = sqlite3.connect(db_path)
         
         try:
+            # Calculate volatility for the past 30 days
+            start_date = current_date - timedelta(days=30)
+            
             query = f'''
                 SELECT date, close FROM {ticker.lower()}
                 WHERE date >= ? AND date <= ?
@@ -108,7 +112,7 @@ class EnhancedEmotionalDamageStrategy:
             
             df = pd.read_sql_query(query, conn, params=(
                 start_date.strftime('%Y-%m-%d'), 
-                end_date.strftime('%Y-%m-%d')
+                current_date.strftime('%Y-%m-%d')
             ))
             
             if len(df) > 10:
@@ -123,30 +127,119 @@ class EnhancedEmotionalDamageStrategy:
         conn.close()
         return 0
     
+    def check_technical_indicators(self, ticker, date):
+        """Check RSI, MACD, and SMA technical indicators"""
+        import os
+        script_dir = os.path.dirname(os.path.abspath(__file__))
+        backtest_dir = os.path.dirname(os.path.dirname(script_dir))
+        db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
+        conn = sqlite3.connect(db_path)
+        
+        try:
+            # Get 50 days of data for technical analysis
+            query = f'''
+                SELECT date, close FROM {ticker.lower()}
+                WHERE date <= ? 
+                ORDER BY date DESC
+                LIMIT 50
+            '''
+            
+            df = pd.read_sql_query(query, conn, params=(date.strftime('%Y-%m-%d'),))
+            
+            if len(df) < 20:
+                conn.close()
+                return False
+                
+            df = df.sort_values('date')
+            df.reset_index(drop=True, inplace=True)
+            
+            # Calculate RSI
+            delta = df['close'].diff()
+            gain = (delta.where(delta > 0, 0)).rolling(window=14).mean()
+            loss = (-delta.where(delta < 0, 0)).rolling(window=14).mean()
+            rs = gain / loss
+            rsi = 100 - (100 / (1 + rs))
+            
+            # Calculate MACD
+            ema12 = df['close'].ewm(span=12).mean()
+            ema26 = df['close'].ewm(span=26).mean()
+            macd = ema12 - ema26
+            signal = macd.ewm(span=9).mean()
+            
+            # Calculate SMA
+            sma5 = df['close'].rolling(window=5).mean()
+            sma20 = df['close'].rolling(window=20).mean()
+            
+            # Check conditions (use latest values)
+            latest_rsi = rsi.iloc[-1]
+            latest_macd = macd.iloc[-1]
+            latest_signal = signal.iloc[-1]
+            latest_sma5 = sma5.iloc[-1]
+            latest_sma20 = sma20.iloc[-1]
+            
+            # RSI should be above 30 (not oversold)
+            rsi_ok = latest_rsi > 30
+            
+            # MACD convergence: MACD and Signal lines are converging
+            # Check if MACD is getting closer to signal line (momentum improving)
+            if len(macd) >= 2 and len(signal) >= 2:
+                prev_macd = macd.iloc[-2]
+                prev_signal = signal.iloc[-2]
+                prev_diff = abs(prev_macd - prev_signal)
+                current_diff = abs(latest_macd - latest_signal)
+                macd_ok = current_diff < prev_diff  # Lines are converging
+            else:
+                macd_ok = latest_macd > latest_signal  # Fallback to original condition
+            
+            # SMA5 should be above SMA20 (uptrend)
+            sma_ok = latest_sma5 > latest_sma20
+            
+            # Need at least 2 out of 3 indicators to be positive
+            score = sum([rsi_ok, macd_ok, sma_ok])
+            
+            conn.close()
+            return score >= 2
+            
+        except Exception as e:
+            conn.close()
+            return False
+    
     def select_volatile_stocks(self, fear_start_date, fear_end_date):
-        """Select top volatile stocks"""
+        """Select stocks using technical indicators, then sort by volatility"""
-        volatilities = {}
+        qualified_stocks = []
         
+        # Filter stocks using technical indicators
         for ticker in self.available_tickers:
-            vol = self.calculate_volatility(ticker, fear_start_date, fear_end_date)
+            if self.check_technical_indicators(ticker, fear_end_date):
-            if vol > 0.2:  # Minimum volatility threshold
+                vol = self.calculate_volatility(ticker, fear_end_date)  # Calculate past month volatility
-                volatilities[ticker] = vol
+                
+                if vol > 0.1:  # Normal volatility threshold
+                    qualified_stocks.append((ticker, vol))
         
-        # Sort by volatility and select top N
+        # Sort by volatility and select top 4
-        sorted_vol = sorted(volatilities.items(), key=lambda x: x[1], reverse=True)
+        qualified_stocks.sort(key=lambda x: x[1], reverse=True)
-        top_stocks = [ticker for ticker, vol in sorted_vol[:self.top_stocks_count]]
+        top_stocks = [ticker for ticker, vol in qualified_stocks[:4]]
         
         return top_stocks
     
     def execute_trade(self, date, action, ticker=None, shares=None, price=None, value=None):
-        """Record a trade"""
+        """Execute and record a trade"""
+        # Note: In enhanced strategy, actual execution is handled by gradual_transition
+        # This method is only for recording trades
+        
+        # Get F&G index for this date
+        fg_index = self.data.loc[date, 'fear_greed_index'] if date in self.data.index else None
+        
         self.trades.append({
             'date': date,
             'action': action,
             'ticker': ticker,
             'shares': shares,
             'price': price,
-            'value': value
+            'value': value,
+            'fg_index': fg_index,
+            'cash_after': self.cash,
+            'portfolio_state': self.state
         })
     
     def calculate_portfolio_value(self, date):
@@ -155,7 +248,7 @@ class EnhancedEmotionalDamageStrategy:
         
         for ticker, shares in self.positions.items():
             if ticker == 'QQQ':
-                price = self.data.loc[date, 'spy_close']
+                price = self.data.loc[date, 'qqq_close']
             else:
                 price = self.get_stock_price(ticker, date)
                 
@@ -176,7 +269,7 @@ class EnhancedEmotionalDamageStrategy:
                 
             # Find average buy price
             buy_trades = [t for t in self.trades 
-                         if t['ticker'] == ticker and t['action'] in ['BUY_VOLATILE']]
+                         if t['ticker'] == ticker and t['action'] in ['BUY_GRADUAL']]
             if buy_trades:
                 total_cost = sum(t['price'] * t['shares'] for t in buy_trades)
                 total_shares = sum(t['shares'] for t in buy_trades)
@@ -192,12 +285,15 @@ class EnhancedEmotionalDamageStrategy:
                     
                     self.execute_trade(date, 'STOP_LOSS', ticker, shares, current_price, value)
                     
-                    # Buy QQQ
+                    # Buy QQQ with integer shares
-                    qqq_price = self.data.loc[date, 'spy_close']
+                    qqq_price = self.data.loc[date, 'qqq_close']
-                    qqq_shares = value / qqq_price
+                    qqq_shares = int(value / qqq_price)
-                    self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
                     
-                    self.execute_trade(date, 'BUY_QQQ_STOPLOSS', 'QQQ', qqq_shares, qqq_price, value)
+                    if qqq_shares > 0:
+                        actual_qqq_value = qqq_shares * qqq_price
+                        self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
+                        self.cash -= actual_qqq_value  # Subtract the actual QQQ purchase value
+                        self.execute_trade(date, 'BUY_QQQ_STOPLOSS', 'QQQ', qqq_shares, qqq_price, actual_qqq_value)
                     
                     print(f"{date.strftime('%Y-%m-%d')}: Stop loss triggered for {ticker}, loss: {loss_pct*100:.1f}%")
     
@@ -206,11 +302,10 @@ class EnhancedEmotionalDamageStrategy:
         self.transition_plan = {'type': target_type, 'stocks': stocks}
         
         if target_type == 'CASH':
-            # Plan to sell all non-QQQ positions over 4 steps
+            # Plan to sell ALL positions (including QQQ) over 4 steps
             self.transition_plan['positions_to_sell'] = {}
             for ticker in self.positions:
-                if ticker != 'QQQ':
+                self.transition_plan['positions_to_sell'][ticker] = self.positions[ticker]
-                    self.transition_plan['positions_to_sell'][ticker] = self.positions[ticker]
                     
         elif target_type == 'QQQ':
             # Plan to sell all non-QQQ positions and convert to cash pool
@@ -232,7 +327,16 @@ class EnhancedEmotionalDamageStrategy:
                     
         elif target_type == 'VOLATILE' and stocks:
             # Plan to invest available cash in volatile stocks
-            self.transition_plan['total_cash_to_invest'] = self.cash
+            # Include cash from any remaining positions (should be mostly cash by now)
+            cash_from_positions = 0
+            for ticker in self.positions:
+                if ticker != 'QQQ':
+                    price = self.get_stock_price(ticker, date)
+                    if price:
+                        cash_from_positions += self.positions[ticker] * price
+            
+            total_available_cash = self.cash + cash_from_positions
+            self.transition_plan['total_cash_to_invest'] = total_available_cash
     
     def gradual_transition(self, date, target_type, stocks=None):
         """Handle 4-step gradual transitions with fixed allocation"""
@@ -256,19 +360,23 @@ class EnhancedEmotionalDamageStrategy:
                             self.execute_trade(date, 'SELL_GRADUAL', ticker, shares_to_sell, price, value)
         
         elif target_type == 'VOLATILE' and stocks:
-            # Buy volatile stocks gradually using fixed cash allocation
+            # Buy only the most volatile stock each step (up to 4 different stocks)
             total_cash = self.transition_plan.get('total_cash_to_invest', 0)
             cash_this_step = total_cash * step_size
             
             if cash_this_step > 0 and self.cash >= cash_this_step:
-                amount_per_stock = cash_this_step / len(stocks)
+                # Buy only the most volatile stock this step
-                for ticker in stocks:
+                current_step_index = min(self.current_step, len(stocks) - 1)
-                    price = self.get_stock_price(ticker, date)
+                ticker = stocks[current_step_index]  # stocks are already sorted by volatility
-                    if price and amount_per_stock > 0:
+                
-                        shares = amount_per_stock / price
+                price = self.get_stock_price(ticker, date)
+                if price and cash_this_step > 0:
+                    shares = int(cash_this_step / price)  # Integer shares only
+                    if shares > 0:
+                        actual_value = shares * price
                         self.positions[ticker] = self.positions.get(ticker, 0) + shares
-                        self.cash -= amount_per_stock
+                        self.cash -= actual_value
-                        self.execute_trade(date, 'BUY_GRADUAL', ticker, shares, price, amount_per_stock)
+                        self.execute_trade(date, 'BUY_GRADUAL', ticker, shares, price, actual_value)
         
         elif target_type == 'QQQ':
             # Sell positions gradually and buy QQQ with fixed allocation
@@ -293,12 +401,14 @@ class EnhancedEmotionalDamageStrategy:
             cash_this_step = total_cash * step_size
             
             if cash_this_step > 0 and self.cash >= cash_this_step:
-                qqq_price = self.data.loc[date, 'spy_close']
+                qqq_price = self.data.loc[date, 'qqq_close']
-                qqq_shares = cash_this_step / qqq_price
+                qqq_shares = int(cash_this_step / qqq_price)  # Integer shares only
                 
-                self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
+                if qqq_shares > 0:
-                self.cash -= cash_this_step
+                    actual_value = qqq_shares * qqq_price
-                self.execute_trade(date, 'BUY_GRADUAL', 'QQQ', qqq_shares, qqq_price, cash_this_step)
+                    self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
+                    self.cash -= actual_value
+                    self.execute_trade(date, 'BUY_GRADUAL', 'QQQ', qqq_shares, qqq_price, actual_value)
     
     def run_backtest(self):
         """Run the enhanced strategy backtest"""
@@ -308,9 +418,10 @@ class EnhancedEmotionalDamageStrategy:
         
         # Start with 100% QQQ
         first_date = self.data.index[0]
-        qqq_price = self.data.loc[first_date, 'spy_close']
+        qqq_price = self.data.loc[first_date, 'qqq_close']
-        qqq_shares = self.initial_capital / qqq_price
+        qqq_shares = int(self.initial_capital / qqq_price)  # Integer shares only
         self.positions['QQQ'] = qqq_shares
+        self.cash = self.initial_capital - (qqq_shares * qqq_price)  # Remaining cash after buying integer shares
         
         fear_start_date = None
         
@@ -438,21 +549,36 @@ def run_enhanced_backtest():
     portfolio_df = pd.DataFrame(strategy.portfolio_value)
     portfolio_df.set_index('date', inplace=True)
     
-    # Get benchmark data
+    # Get benchmark data (both QQQ and SPY)
     import os
     script_dir = os.path.dirname(os.path.abspath(__file__))
     backtest_dir = os.path.dirname(os.path.dirname(script_dir))
     db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
     conn = sqlite3.connect(db_path)
-    benchmark_data = pd.read_sql_query('''
+    
+    # Get QQQ data
+    qqq_data = pd.read_sql_query('''
+        SELECT date, close as qqq_close
+        FROM qqq
+        ORDER BY date
+    ''', conn)
+    qqq_data['date'] = pd.to_datetime(qqq_data['date'])
+    qqq_data.set_index('date', inplace=True)
+    
+    # Get SPY data
+    spy_data = pd.read_sql_query('''
         SELECT date, spy_close
         FROM fear_greed_data
         ORDER BY date
     ''', conn)
-    benchmark_data['date'] = pd.to_datetime(benchmark_data['date'])
+    spy_data['date'] = pd.to_datetime(spy_data['date'])
-    benchmark_data.set_index('date', inplace=True)
+    spy_data.set_index('date', inplace=True)
+    
     conn.close()
     
+    # Merge benchmark data
+    benchmark_data = pd.merge(qqq_data, spy_data, left_index=True, right_index=True, how='inner')
+    
     # Align dates
     common_dates = portfolio_df.index.intersection(benchmark_data.index)
     portfolio_df = portfolio_df.loc[common_dates]
@@ -460,7 +586,7 @@ def run_enhanced_backtest():
     
     # Normalize benchmarks
     start_value = 100000
-    benchmark_data['qqq_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
+    benchmark_data['qqq_value'] = start_value * (benchmark_data['qqq_close'] / benchmark_data['qqq_close'].iloc[0])
     benchmark_data['spy_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
     
     # Calculate metrics

backtest/strategy/emotional-damage/config.json

@@ -0,0 +1,45 @@
+{
+  "strategy_params": {
+    "initial_capital": 100000,
+    "fear_threshold": 25,
+    "greed_threshold": 75,
+    "stop_loss_threshold": 0.15,
+    "transition_steps": 4,
+    "top_stocks_count": 4,
+    "volatility_threshold": 0.1,
+    "volatility_calculation_days": 30
+  },
+  "technical_indicators": {
+    "rsi_threshold": 30,
+    "required_indicators": 2,
+    "sma5_above_sma20": true,
+    "macd_convergence": true,
+    "ema_periods": {
+      "fast": 12,
+      "slow": 26,
+      "signal": 9
+    },
+    "sma_periods": {
+      "fast": 5,
+      "slow": 20
+    },
+    "rsi_period": 14
+  },
+  "output_settings": {
+    "generate_pdf": true,
+    "generate_csv": true,
+    "generate_detailed_trades": true,
+    "show_console_output": true,
+    "save_strategy_object": true
+  },
+  "paths": {
+    "database_path": "/home/will/docker/backtest/data/stock_data.db",
+    "reports_dir": "/home/will/docker/backtest/reports",
+    "results_dir": "/home/will/docker/backtest/results"
+  },
+  "data_settings": {
+    "min_ticker_records": 1000,
+    "start_date": null,
+    "end_date": null
+  }
+}

backtest/strategy/emotional-damage/emotional-damage.txt

@@ -1,15 +0,0 @@
-默认状态下，100%满仓QQQ。
-
-当CNN Fear & Greed 指数跌破25（极端恐惧）：
-
-清仓QQQ，100%现金状态等待。
-
-当指数从25以下反弹回25以上时：
-
-计算在指数<25期间，QQQ成分股的历史波动率。
-
-选出波动性最大的前10支股票，满仓持有这10只股票。
-
-一直持有，直到CNN Fear & Greed 指数突破75（极端贪婪）：
-
-清仓10支股票，重新100%满仓QQQ，回到初始状态。

backtest/strategy/emotional-damage/enhanced-emotional-damage.txt

@@ -1,149 +1,169 @@
-# Enhanced Emotional Damage Strategy - Algorithm Details
+# 增强版情绪伤害策略 - 算法详细说明
 
-## Strategy Overview
+## 策略概述
-The Enhanced Emotional Damage Strategy is an algorithmic trading approach that uses market sentiment (Fear & Greed Index) combined with technical analysis to time market entries and exits. The strategy aims to capitalize on market fear by moving to cash during panic periods and reinvesting in volatile stocks during recovery phases.
+增强版情绪伤害策略是一种基于市场情绪指标（恐惧与贪婪指数）结合技术分析的量化交易策略。该策略通过在市场恐慌时转换为现金，在市场恢复时投资高波动性股票来获取收益。
 
-## Core Algorithm Components
+## 核心算法组件
 
-### 1. Fear & Greed Index-Based Market Timing
+### 1. 基于恐惧与贪婪指数的市场择时
-- **Data Source**: CNN Fear & Greed Index (0-100 scale)
+- **数据源**: CNN恐惧与贪婪指数（0-100刻度）
-- **Fear Threshold**: 25 (market panic trigger)
+- **恐惧阈值**: 25（市场恐慌触发点）
-- **Greed Threshold**: 75 (profit-taking trigger)
+- **贪婪阈值**: 75（获利了结触发点）
-- **Logic**: 
+- **逻辑**: 
-  - When F&G < 25: Move to cash (avoid further losses)
+  - 当F&G < 25时：转为现金（避免进一步损失）
-  - When F&G recovers > 25: Select volatile stocks (recovery play)
+  - 当F&G恢复 > 25时：选择高波动股票（恢复阶段投资）
-  - When F&G > 75: Move to QQQ (safe haven)
+  - 当F&G > 75时：转为QQQ（安全港）
 
-### 2. Gradual Transition System (4-Step Process)
+### 2. 渐进式调仓系统（4步调仓）
-**Critical Fix Applied**: Original algorithm had compounding error creating impossible returns.
+**关键修复**: 原算法存在复利错误，产生了不可能的收益率。
 
-#### Fixed Implementation:
+#### 修复后的实现:
 ```python
 def start_transition(self, date, target_type, stocks=None):
-    # Calculate TOTAL funds available for transition at START
+    # 在开始时计算总资金，存储固定分配计划防止复利错误
-    # Store fixed allocation plan to prevent compounding
     
 def gradual_transition(self, date, target_type, stocks=None):
-    # Execute 1/4 of predetermined allocation each step
+    # 每步执行预定分配的1/4，不重新计算总价值
-    # NO recalculation of total value per step
 ```
 
-**Transition Types**:
+**调仓类型**:
-- **TO_CASH**: Sell all non-QQQ positions over 4 trading days
+- **转现金**: 在4个交易日内卖出所有非QQQ持仓
-- **TO_VOLATILE**: Buy selected volatile stocks with available cash
+- **转波动股**: 用可用现金买入选定的高波动股票
-- **TO_QQQ**: Sell all positions and buy QQQ over 4 days
+- **转QQQ**: 在4天内卖出所有持仓并买入QQQ
 
-**Why 4 Steps**: Reduces market impact and slippage from large position changes
+**为什么4步**: 减少大额仓位变化的市场冲击和滑点
 
-### 3. Technical Indicator Filtering
+### 3. 技术指标过滤系统
-For volatile stock selection, requires 2 out of 3 indicators showing upward trend:
+高波动股票选择需要满足3个指标中至少2个显示上涨趋势：
 
-#### MACD Golden Cross
+#### MACD黄金交叉
 ```python
-macd > macd_signal  # Current MACD above signal line
+macd > macd_signal  # 当前MACD高于信号线
 ```
 
-#### RSI First Derivative Positive
+#### RSI向上趋势
 ```python
-current_rsi > previous_rsi  # RSI trending upward
+current_rsi > 30  # RSI大于30（避免超卖）
 ```
 
-#### EMA Crossover (5/20 period)
+#### 移动平均线交叉（5/20周期）
 ```python
-ema_5 > ema_20  # Short-term momentum over long-term
+sma_5 > sma_20  # 短期动量超过长期
 ```
 
-### 4. Stop-Loss Protection (15% Rule)
+### 4. 止损保护（15%规则）
-- **Trigger**: Any volatile stock position drops 15% below average purchase price
+- **触发条件**: 任何波动股持仓跌破平均买入价15%
-- **Action**: Immediately sell position and buy equivalent QQQ shares
+- **执行动作**: 立即卖出该持仓并买入等值QQQ
-- **Purpose**: Risk management to prevent large losses
+- **目的**: 风险管理，防止大额损失
 
-## State Machine Implementation
+## 状态机实现
 
 ```
 QQQ_HOLD → [F&G < 25] → FEAR_TRANSITION → CASH_WAIT
-                           ↓ (4 steps)
+                           ↓ (4步)
 CASH_WAIT → [F&G ≥ 25] → GREED_TRANSITION → VOLATILE_STOCKS
-                           ↓ (4 steps)        ↓ [F&G > 75]
+                           ↓ (4步)        ↓ [F&G > 75]
                                          QQQ_TRANSITION
-                                              ↓ (4 steps)
+                                              ↓ (4步)
                                            QQQ_HOLD
 ```
 
-## Key Algorithm Fixes Applied
+## 关键算法修复
 
-### Original Bug: Compounding Error
+### 原始BUG: 初始化错误
 ```python
-# WRONG (caused 129M% impossible returns):
+# 错误（导致资金翻倍）:
-total_value = self.calculate_portfolio_value(date)
+self.cash = initial_capital  # 设置现金
-target_qqq_value = total_value * step_size  # Created money each step!
+self.positions['QQQ'] = qqq_shares  # 买入QQQ但没有清零现金
 ```
 
-### Fixed Algorithm:
+### 修复后的算法:
 ```python
-# CORRECT (realistic 516% over 17 years):
+# 正确（资金正常）:
-def start_transition(self, date, target_type):
+self.positions['QQQ'] = qqq_shares
-    self.transition_cash_pool = calculate_total_available_cash()
+self.cash = 0  # 修复: 买入QQQ后清零现金
-    
-def gradual_transition(self, date, target_type):
-    cash_this_step = self.transition_cash_pool * step_size  # Fixed amount
 ```
 
-## Performance Characteristics
+### 股票选择逻辑修复
+```python
+# 原来: 只使用波动率过滤（过于简单）
+if vol > 0.2:  # 20%波动率阈值过高
+    volatilities[ticker] = vol
 
-### Risk Management Features:
+# 修复后: 技术指标过滤 + 波动率排序
-- **Maximum Drawdown Control**: Move to cash during market panic
+if self.check_technical_indicators(ticker, date):  # RSI+MACD+SMA过滤
-- **Position Sizing**: Equal-weight allocation across selected stocks
+    if vol > 0.1:  # 降低波动率阈值
-- **Stop-Loss**: 15% maximum loss per position
+        qualified_stocks.append((ticker, vol))
-- **Gradual Execution**: 4-step transitions reduce market impact
+```
 
-### Expected Behavior:
+### 交易逻辑修复
-- **Bull Markets**: Moderate participation via QQQ
+```python
-- **Bear Markets**: Cash preservation during panic phases
+# 原来: 等权重买入所有股票
-- **Recovery Phases**: Aggressive positioning in volatile stocks
+amount_per_stock = cash / len(stocks)  # 分散投资
-- **Overheated Markets**: Defensive shift back to QQQ
+for ticker in stocks:
+    buy(ticker, amount_per_stock)
 
-## Technical Implementation Details
+# 修复后: 每次买入波动性最强的1支股票
+current_step_index = min(self.current_step, len(stocks) - 1)
+ticker = stocks[current_step_index]  # 按波动性排序，每次买最强的
+buy(ticker, cash_this_step)  # 最多同时持有4支股票
+```
 
-### Database Dependencies:
+## 性能特征
-- `fear_greed_index`: CNN F&G historical data
-- `{ticker}`: Individual stock OHLCV + technical indicators
-- `qqq`: QQQ ETF historical prices (to be added)
-- `fear_greed_data.spy_close`: SPY benchmark data
 
-### Performance Metrics Calculated:
+### 风险管理功能:
-- Total Return, Annual Return, Sharpe Ratio
+- **最大回撤控制**: 市场恐慌时转为现金
-- Maximum Drawdown and recovery periods
+- **仓位管理**: 最多同时持有4支高波动股票
-- Win/Loss ratio and trade frequency
+- **止损保护**: 每个持仓最大损失15%
-- Correlation with market benchmarks
+- **渐进执行**: 4步调仓减少市场冲击
 
-## Known Limitations & Future Improvements
+### 预期行为:
+- **牛市**: 通过QQQ适度参与
+- **熊市**: 恐慌阶段现金保值
+- **恢复阶段**: 高波动股票攻击性持仓
+- **过热市场**: 防御性回到QQQ
 
-### Current Issues:
+## 技术实现细节
-1. **QQQ Data**: Currently using SPY prices for QQQ trades (unrealistic)
-2. **Network Dependency**: Requires external data feeds for F&G index
-3. **Market Regime Changes**: May not adapt to structural market shifts
 
-### Planned Enhancements:
+### 数据库依赖:
-1. **Real QQQ Data**: Download actual QQQ historical prices
+- `fear_greed_index`: CNN恐惧与贪婪历史数据
-2. **Dynamic Thresholds**: Adjust F&G thresholds based on market volatility
+- `{ticker}`: 个股OHLCV + 技术指标数据
-3. **Sector Rotation**: Add sector-specific volatile stock selection
+- `qqq`: QQQ ETF历史价格（真实数据）
-4. **Risk Scaling**: Position size based on volatility estimates
+- `fear_greed_data.spy_close`: SPY基准数据
 
-## Backtest Results (After Bug Fix)
+### 计算的性能指标:
-- **Period**: 2007-2025 (17+ years)
+- 总回报、年化回报、夏普比率
-- **Total Return**: 516.8% (vs impossible 129M% before fix)
+- 最大回撤和恢复期
-- **Annual Return**: ~11% (realistic performance)
+- 胜率和交易频率
-- **Max Drawdown**: TBD (pending QQQ data fix)
+- 与市场基准的相关性
-- **Trade Count**: 4 major transitions (simple strategy behavior)
 
-## Files Structure:
+## 已知限制与未来改进
+
+### 当前问题:
+1. **技术指标过滤过严**: 导致大部分恐慌期找不到合适股票
+2. **交易记录不完整**: gradual_transition中的交易未被记录
+3. **市场制度变化**: 可能无法适应结构性市场变化
+
+### 计划增强:
+1. **放宽技术指标**: 降低过滤标准，提高股票选择成功率
+2. **完善交易记录**: 确保所有交易都被正确记录
+3. **动态阈值**: 根据市场波动调整F&G阈值
+4. **风险缩放**: 基于波动率估算调整仓位大小
+
+## 回测结果（修复后）
+- **期间**: 2007-2025（18年）
+- **总回报**: 1258.3%（修复初始化BUG后）
+- **年化回报**: 15.7%（略低于QQQ的16.3%）
+- **最大回撤**: 待优化
+- **交易次数**: 0（技术指标过滤太严格）
+
+## 文件结构:
 ```
 strategy/emotional-damage/
-├── backtest_emotional_damage_enhanced_v2.py  # Main strategy (fixed)
+├── backtest_emotional_damage_enhanced_v2.py  # 主策略（已修复）
-├── generate_enhanced_pdf_report.py           # Report generator
+├── generate_enhanced_pdf_report.py           # 报告生成器
-├── enhanced_emotional_damage_strategy_report_*.pdf  # Results
+├── enhanced_emotional_damage_strategy_report_*.pdf  # 结果报告
-└── enhanced-emotional-damage.txt            # This documentation
+└── enhanced-emotional-damage.txt            # 本文档
 ```
 
-**Status**: Strategy logic fixed, awaiting real QQQ data for complete validation.
+**状态**: 策略逻辑已修复，但技术指标过滤需要优化以提高选股成功率。目前表现接近QQQ买入持有策略，但缺少波动股票投资机会。

backtest/strategy/emotional-damage/generate_enhanced_pdf_report.py

@@ -1,440 +0,0 @@
-import matplotlib.pyplot as plt
-import seaborn as sns
-from matplotlib.backends.backend_pdf import PdfPages
-import pandas as pd
-import numpy as np
-from datetime import datetime
-import sqlite3
-import sys
-import os
-
-# Add the strategy path
-sys.path.insert(0, os.path.join(os.path.dirname(__file__)))
-from backtest_emotional_damage_enhanced_v2 import EnhancedEmotionalDamageStrategy
-
-def run_enhanced_backtest_local():
-    """Run enhanced strategy backtest locally"""
-    
-    strategy = EnhancedEmotionalDamageStrategy(initial_capital=100000)
-    strategy.run_backtest()
-    
-    # Convert results to DataFrame
-    portfolio_df = pd.DataFrame(strategy.portfolio_value)
-    portfolio_df.set_index('date', inplace=True)
-    
-    # Get benchmark data (QQQ and SPY)
-    import os
-    script_dir = os.path.dirname(os.path.abspath(__file__))
-    backtest_dir = os.path.dirname(os.path.dirname(script_dir))
-    db_path = os.path.join(backtest_dir, 'data', 'stock_data.db')
-    print(f"Connecting to database at: {db_path}")
-    conn = sqlite3.connect(db_path)
-    
-    benchmark_data = pd.read_sql_query('''
-        SELECT date, spy_close
-        FROM fear_greed_data
-        ORDER BY date
-    ''', conn)
-    benchmark_data['date'] = pd.to_datetime(benchmark_data['date'])
-    benchmark_data.set_index('date', inplace=True)
-    
-    conn.close()
-    
-    # Align dates
-    common_dates = portfolio_df.index.intersection(benchmark_data.index)
-    portfolio_df = portfolio_df.loc[common_dates]
-    benchmark_data = benchmark_data.loc[common_dates]
-    
-    # Normalize to starting value for comparison
-    start_value = 100000
-    portfolio_df['normalized'] = portfolio_df['value']
-    
-    # Create QQQ and SPY buy-and-hold benchmarks
-    benchmark_data['qqq_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
-    benchmark_data['spy_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
-    
-    # Calculate performance metrics
-    def calculate_performance_metrics(returns):
-        """Calculate performance metrics"""
-        total_return = (returns.iloc[-1] / returns.iloc[0] - 1) * 100
-        annual_return = ((returns.iloc[-1] / returns.iloc[0]) ** (252 / len(returns)) - 1) * 100
-        
-        # Calculate max drawdown
-        peak = returns.expanding().max()
-        drawdown = (returns - peak) / peak
-        max_drawdown = drawdown.min() * 100
-        
-        # Find max drawdown period
-        max_dd_date = drawdown.idxmin()
-        max_dd_year = max_dd_date.year
-        
-        # Calculate Sharpe ratio
-        daily_returns = returns.pct_change().dropna()
-        sharpe_ratio = np.sqrt(252) * daily_returns.mean() / daily_returns.std()
-        
-        # Annual returns by year
-        annual_rets = {}
-        for year in returns.index.year.unique():
-            year_data = returns[returns.index.year == year]
-            if len(year_data) > 1:
-                year_return = (year_data.iloc[-1] / year_data.iloc[0] - 1) * 100
-                annual_rets[year] = year_return
-        
-        return {
-            'total_return': total_return,
-            'annual_return': annual_return,
-            'max_drawdown': max_drawdown,
-            'max_drawdown_date': max_dd_date,
-            'max_drawdown_year': max_dd_year,
-            'sharpe_ratio': sharpe_ratio,
-            'annual_returns': annual_rets
-        }
-    
-    strategy_metrics = calculate_performance_metrics(portfolio_df['value'])
-    qqq_metrics = calculate_performance_metrics(benchmark_data['qqq_value'])
-    spy_metrics = calculate_performance_metrics(benchmark_data['spy_value'])
-    
-    return {
-        'strategy': strategy,
-        'portfolio_df': portfolio_df,
-        'benchmark_data': benchmark_data,
-        'strategy_metrics': strategy_metrics,
-        'qqq_metrics': qqq_metrics,
-        'spy_metrics': spy_metrics
-    }
-
-def generate_enhanced_pdf_report():
-    """Generate comprehensive PDF report for enhanced strategy"""
-    
-    print("Running enhanced strategy backtest...")
-    results = run_enhanced_backtest_local()
-    
-    strategy = results['strategy']
-    portfolio_df = results['portfolio_df']
-    benchmark_data = results['benchmark_data']
-    strategy_metrics = results['strategy_metrics']
-    qqq_metrics = results['qqq_metrics']
-    spy_metrics = results['spy_metrics']
-    
-    # Create PDF report in the strategy directory
-    report_filename = f"enhanced_emotional_damage_strategy_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
-    report_path = os.path.join(os.path.dirname(__file__), report_filename)
-    
-    with PdfPages(report_path) as pdf:
-        
-        # Page 1: Executive Summary
-        fig = plt.figure(figsize=(16, 12))
-        fig.suptitle('Enhanced Emotional Damage Strategy - Comprehensive Analysis', fontsize=20, fontweight='bold')
-        
-        # Create grid layout
-        gs = fig.add_gridspec(3, 3, hspace=0.3, wspace=0.3)
-        
-        # Performance comparison table
-        ax1 = fig.add_subplot(gs[0, :])
-        ax1.axis('tight')
-        ax1.axis('off')
-        
-        table_data = [
-            ['Metric', 'Enhanced Strategy', 'QQQ Buy & Hold', 'SPY Buy & Hold'],
-            [f'Total Return', f'{strategy_metrics["total_return"]:.1f}%', f'{qqq_metrics["total_return"]:.1f}%', f'{spy_metrics["total_return"]:.1f}%'],
-            [f'Annual Return', f'{strategy_metrics["annual_return"]:.1f}%', f'{qqq_metrics["annual_return"]:.1f}%', f'{spy_metrics["annual_return"]:.1f}%'],
-            [f'Max Drawdown', f'{strategy_metrics["max_drawdown"]:.1f}%', f'{qqq_metrics["max_drawdown"]:.1f}%', f'{spy_metrics["max_drawdown"]:.1f}%'],
-            [f'Sharpe Ratio', f'{strategy_metrics["sharpe_ratio"]:.2f}', f'{qqq_metrics["sharpe_ratio"]:.2f}', f'{spy_metrics["sharpe_ratio"]:.2f}'],
-            [f'Max DD Year', f'{strategy_metrics["max_drawdown_year"]}', f'{qqq_metrics.get("max_drawdown_year", "N/A")}', f'{spy_metrics.get("max_drawdown_year", "N/A")}']
-        ]
-        
-        table = ax1.table(cellText=table_data[1:], 
-                         colLabels=table_data[0],
-                         cellLoc='center', 
-                         loc='upper center',
-                         colWidths=[0.25, 0.25, 0.25, 0.25])
-        table.auto_set_font_size(False)
-        table.set_fontsize(11)
-        table.scale(1.2, 2.5)
-        table.auto_set_column_width(col=list(range(len(table_data[0]))))
-        
-        # Color the header row
-        for i in range(len(table_data[0])):
-            table[(0, i)].set_facecolor('#4CAF50')
-            table[(0, i)].set_text_props(weight='bold', color='white')
-        
-        ax1.set_title('Performance Summary (18+ Years Backtest)', fontsize=16, fontweight='bold', pad=30)
-        
-        # Portfolio value over time
-        ax2 = fig.add_subplot(gs[1, :2])
-        ax2.plot(portfolio_df.index, portfolio_df['value'], label='Enhanced Strategy', linewidth=2.5, color='#2E86AB')
-        ax2.plot(benchmark_data.index, benchmark_data['qqq_value'], label='QQQ', alpha=0.7, color='#A23B72')
-        ax2.plot(benchmark_data.index, benchmark_data['spy_value'], label='SPY', alpha=0.7, color='#F18F01')
-        ax2.set_title('Portfolio Value Over Time (Starting from $100,000)', fontsize=14, fontweight='bold')
-        ax2.set_ylabel('Portfolio Value ($)', fontsize=12)
-        ax2.legend(fontsize=11)
-        ax2.grid(True, alpha=0.3)
-        ax2.yaxis.set_major_formatter(plt.FuncFormatter(lambda x, p: f'${x/1000:.0f}K'))
-        
-        # Fear & Greed Index with strategy states
-        ax3 = fig.add_subplot(gs[1, 2])
-        ax3_twin = ax3.twinx()
-        
-        # Fear & Greed Index
-        ax3.plot(portfolio_df.index, portfolio_df['fg_index'], color='red', alpha=0.7, linewidth=1)
-        ax3.axhline(y=25, color='red', linestyle='--', alpha=0.5, label='Fear (25)')
-        ax3.axhline(y=75, color='green', linestyle='--', alpha=0.5, label='Greed (75)')
-        ax3.set_ylabel('Fear & Greed Index', color='red', fontsize=10)
-        ax3.tick_params(axis='y', labelcolor='red')
-        ax3.set_ylim(0, 100)
-        ax3.set_title('Fear & Greed Index', fontsize=12)
-        
-        # Strategy states as background
-        state_colors = {'QQQ_HOLD': '#E8F5E8', 'FEAR_TRANSITION': '#FFE6E6', 
-                       'CASH_WAIT': '#FFF2E6', 'GREED_TRANSITION': '#E6F3FF',
-                       'VOLATILE_STOCKS': '#FFE6CC', 'QQQ_TRANSITION': '#FFE6F0'}
-        
-        current_state = None
-        start_idx = 0
-        for i, (idx, row) in enumerate(portfolio_df.iterrows()):
-            if row['state'] != current_state:
-                if current_state is not None:
-                    ax3.axvspan(portfolio_df.index[start_idx], idx, 
-                               alpha=0.2, color=state_colors.get(current_state, 'gray'))
-                current_state = row['state']
-                start_idx = i
-        
-        if current_state is not None:
-            ax3.axvspan(portfolio_df.index[start_idx], portfolio_df.index[-1], 
-                       alpha=0.2, color=state_colors.get(current_state, 'gray'))
-        
-        # Annual returns comparison
-        ax4 = fig.add_subplot(gs[2, :])
-        years = sorted(strategy_metrics['annual_returns'].keys())
-        strategy_rets = [strategy_metrics['annual_returns'][y] for y in years]
-        qqq_rets = [qqq_metrics['annual_returns'][y] for y in years]
-        spy_rets = [spy_metrics['annual_returns'][y] for y in years]
-        
-        x = np.arange(len(years))
-        width = 0.25
-        
-        bars1 = ax4.bar(x - width, strategy_rets, width, label='Enhanced Strategy', 
-                       color='#2E86AB', alpha=0.8)
-        bars2 = ax4.bar(x, qqq_rets, width, label='QQQ', color='#A23B72', alpha=0.8)
-        bars3 = ax4.bar(x + width, spy_rets, width, label='SPY', color='#F18F01', alpha=0.8)
-        
-        ax4.set_xlabel('Year', fontsize=12)
-        ax4.set_ylabel('Annual Return (%)', fontsize=12)
-        ax4.set_title('Annual Returns Comparison', fontsize=14, fontweight='bold')
-        ax4.set_xticks(x)
-        ax4.set_xticklabels(years, rotation=45)
-        ax4.legend(fontsize=11)
-        ax4.grid(True, alpha=0.3)
-        ax4.axhline(y=0, color='black', linestyle='-', alpha=0.3)
-        
-        # Add value labels on bars
-        for bars in [bars1, bars2, bars3]:
-            for bar in bars:
-                height = bar.get_height()
-                if abs(height) > 5:  # Only label significant returns
-                    ax4.annotate(f'{height:.0f}%',
-                               xy=(bar.get_x() + bar.get_width() / 2, height),
-                               xytext=(0, 3 if height > 0 else -15),
-                               textcoords="offset points",
-                               ha='center', va='bottom' if height > 0 else 'top',
-                               fontsize=9)
-        
-        plt.suptitle('Enhanced Emotional Damage Strategy - Comprehensive Analysis', fontsize=20, fontweight='bold')
-        pdf.savefig(fig, bbox_inches='tight', dpi=300)
-        plt.close()
-        
-        # Page 2: Drawdown Analysis
-        fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(16, 12))
-        fig.suptitle('Risk Analysis', fontsize=16, fontweight='bold')
-        
-        # Calculate drawdowns
-        def calculate_drawdown(returns):
-            peak = returns.expanding().max()
-            drawdown = (returns - peak) / peak
-            return drawdown * 100
-        
-        strategy_dd = calculate_drawdown(portfolio_df['value'])
-        qqq_dd = calculate_drawdown(benchmark_data['qqq_value'])
-        spy_dd = calculate_drawdown(benchmark_data['spy_value'])
-        
-        # Drawdown comparison
-        ax1.plot(portfolio_df.index, strategy_dd, label='Enhanced Strategy', 
-                linewidth=2, color='#2E86AB')
-        ax1.plot(benchmark_data.index, qqq_dd, label='QQQ', alpha=0.7, color='#A23B72')
-        ax1.plot(benchmark_data.index, spy_dd, label='SPY', alpha=0.7, color='#F18F01')
-        ax1.axhline(y=0, color='black', linestyle='-', alpha=0.3)
-        ax1.fill_between(portfolio_df.index, strategy_dd, 0, alpha=0.2, color='#2E86AB')
-        ax1.set_title('Drawdown Comparison Over Time')
-        ax1.set_ylabel('Drawdown (%)')
-        ax1.legend()
-        ax1.grid(True, alpha=0.3)
-        
-        # Drawdown histogram
-        significant_dd = strategy_dd[strategy_dd < -10]  # > 10% drawdowns
-        if len(significant_dd) > 0:
-            ax2.hist(significant_dd, bins=20, alpha=0.7, color='#A23B72', edgecolor='black')
-            ax2.axvline(x=significant_dd.min(), color='red', linestyle='--', 
-                       label=f'Max DD: {significant_dd.min():.1f}%')
-            ax2.set_title('Distribution of Significant Drawdowns')
-            ax2.set_xlabel('Drawdown (%)')
-            ax2.set_ylabel('Frequency')
-            ax2.legend()
-            ax2.grid(True, alpha=0.3)
-        else:
-            ax2.text(0.5, 0.5, 'No significant drawdowns > 10%',
-                    ha='center', va='center', transform=ax2.transAxes,
-                    fontsize=12)
-        
-        # Rolling 252-day returns
-        window = 252
-        strategy_rolling = portfolio_df['value'].pct_change(window).rolling(window).mean() * 100
-        qqq_rolling = benchmark_data['qqq_value'].pct_change(window).rolling(window).mean() * 100
-        
-        ax3.plot(portfolio_df.index, strategy_rolling, label='Enhanced Strategy', 
-                linewidth=2, color='#2E86AB')
-        ax3.plot(benchmark_data.index, qqq_rolling, label='QQQ', alpha=0.7, color='#A23B72')
-        ax3.set_title(f'Rolling {window}-Day Annualized Returns')
-        ax3.set_ylabel('Return (%)')
-        ax3.legend()
-        ax3.grid(True, alpha=0.3)
-        
-        # Risk-adjusted returns scatter
-        strategies = ['Enhanced Strategy', 'QQQ', 'SPY']
-        returns = [strategy_metrics['annual_return'], qqq_metrics['annual_return'], spy_metrics['annual_return']]
-        risks = [abs(strategy_metrics['max_drawdown']), abs(qqq_metrics['max_drawdown']), abs(spy_metrics['max_drawdown'])]
-        sharpes = [strategy_metrics['sharpe_ratio'], qqq_metrics['sharpe_ratio'], spy_metrics['sharpe_ratio']]
-        
-        colors = ['#2E86AB', '#A23B72', '#F18F01']
-        
-        for i, (strat, ret, risk, sharpe, color) in enumerate(zip(strategies, returns, risks, sharpes, colors)):
-            ax4.scatter(risk, ret, s=sharpe*100, alpha=0.7, color=color, label=f'{strat} (Sharpe: {sharpe:.2f})')
-            ax4.annotate(strat, (risk, ret), xytext=(5, 5), textcoords='offset points',
-                        fontsize=10, fontweight='bold')
-        
-        ax4.set_xlabel('Maximum Drawdown (%)')
-        ax4.set_ylabel('Annual Return (%)')
-        ax4.set_title('Risk vs Return (bubble size = Sharpe Ratio)')
-        ax4.grid(True, alpha=0.3)
-        ax4.legend()
-        
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight', dpi=300)
-        plt.close()
-        
-        # Page 3: Trading Activity and Strategy Features
-        fig = plt.figure(figsize=(16, 12))
-        gs = fig.add_gridspec(3, 2, hspace=0.3, wspace=0.3)
-        fig.suptitle('Trading Activity and Enhanced Features', fontsize=16, fontweight='bold')
-        
-        # Trading frequency
-        trades_df = pd.DataFrame(strategy.trades)
-        if len(trades_df) > 0:
-            trades_df['date'] = pd.to_datetime(trades_df['date'])
-            trades_df['year'] = trades_df['date'].dt.year
-            
-            ax1 = fig.add_subplot(gs[0, 0])
-            trades_by_year = trades_df.groupby('year').size()
-            ax1.bar(trades_by_year.index, trades_by_year.values, 
-                   color='#2E86AB', alpha=0.7, edgecolor='black')
-            ax1.set_title('Trading Frequency by Year')
-            ax1.set_xlabel('Year')
-            ax1.set_ylabel('Number of Trades')
-            ax1.grid(True, alpha=0.3)
-            
-            # Trade types
-            ax2 = fig.add_subplot(gs[0, 1])
-            trade_types = trades_df['action'].value_counts()
-            colors = plt.cm.Set3(np.linspace(0, 1, len(trade_types)))
-            wedges, texts, autotexts = ax2.pie(trade_types.values, 
-                                              labels=trade_types.index, 
-                                              autopct='%1.1f%%', 
-                                              colors=colors)
-            ax2.set_title('Trade Types Distribution')
-            
-            # Recent trades table
-            ax3 = fig.add_subplot(gs[1, :])
-            ax3.axis('tight')
-            ax3.axis('off')
-            
-            recent_trades = trades_df.tail(15) if len(trades_df) > 15 else trades_df
-            if len(recent_trades) > 0:
-                trade_table_data = []
-                for _, trade in recent_trades.iterrows():
-                    trade_table_data.append([
-                        trade['date'].strftime('%Y-%m-%d'),
-                        trade['action'][:15],
-                        trade['ticker'],
-                        f"{trade['shares']:.0f}",
-                        f"${trade['price']:.2f}",
-                        f"${trade['value']:,.0f}"
-                    ])
-                
-                trade_table = ax3.table(cellText=trade_table_data,
-                                       colLabels=['Date', 'Action', 'Ticker', 'Shares', 'Price', 'Value'],
-                                       cellLoc='center',
-                                       loc='center')
-                trade_table.auto_set_font_size(False)
-                trade_table.set_fontsize(9)
-                trade_table.scale(1.2, 1.5)
-                ax3.set_title('Recent 15 Trades', fontsize=14, fontweight='bold', pad=20)
-        
-        # Strategy features
-        ax4 = fig.add_subplot(gs[2, :])
-        features_text = """
-ENHANCED STRATEGY FEATURES:
-
-1. 4-Step Gradual Position Transitions
-   • Reduces market impact and slippage
-   • Provides better entry/exit timing
-   • Smooth transitions between QQQ, cash, and volatile stocks
-
-2. 15% Stop-Loss Protection
-   • Individual stock risk management
-   • Automatic QQQ replacement on stop-loss triggers
-   • Protects against significant losses
-
-3. Technical Indicator Filtering
-   • MACD: Identifies trend reversals and momentum shifts
-   • RSI: Avoids oversold conditions (RSI > 30 filter)
-   • EMA: Uses EMA5/EMA20 crossover for trend confirmation
-
-4. Enhanced Volatility Selection
-   • Combines technical signals with historical volatility
-   • More selective stock picking process
-   • Dynamic selection based on recent market conditions
-
-5. Fear & Greed Based Market Timing
-   • Systematic entry/exit based on CNN Fear & Greed Index
-   • Counter-emotional trading biases
-   • Proven market sentiment indicator
-
-PERFORMANCE SUMMARY:
-"""
-        
-        # Add performance summary to features
-        perf_summary = f"""
-Backtest Period: {portfolio_df.index.min().strftime('%Y-%m-%d')} to {portfolio_df.index.max().strftime('%Y-%m-%d')}
-Total Trades: {len(strategy.trades)}
-Total Return: {strategy_metrics['total_return']:.1f}%
-Annual Return: {strategy_metrics['annual_return']:.1f}%
-Max Drawdown: {strategy_metrics['max_drawdown']:.1f}%
-Sharpe Ratio: {strategy_metrics['sharpe_ratio']:.2f}
-"""
-        
-        full_text = features_text + perf_summary
-        
-        ax4.text(0.05, 0.95, full_text, transform=ax4.transAxes, 
-                fontsize=10, verticalalignment='top', fontfamily='monospace',
-                bbox=dict(boxstyle="round,pad=0.3", facecolor='lightgray', alpha=0.3))
-        ax4.axis('off')
-        
-        plt.tight_layout()
-        pdf.savefig(fig, bbox_inches='tight', dpi=300)
-        plt.close()
-        
-    print(f"Enhanced PDF report generated: {report_filename}")
-    return report_path
-
-if __name__ == "__main__":
-    filename = generate_enhanced_pdf_report()
-    print(f"Report saved as: {filename}")

backtest/strategy/emotional-damage/run_strategy_with_config.py

@@ -0,0 +1,960 @@
+#!/usr/bin/env python3
+
+import json
+import sqlite3
+import pandas as pd
+import numpy as np
+from datetime import datetime, timedelta
+import warnings
+import os
+import pickle
+import matplotlib.pyplot as plt
+import seaborn as sns
+warnings.filterwarnings('ignore')
+
+class ConfigurableEmotionalDamageStrategy:
+    def __init__(self, config_path='config.json'):
+        """Initialize strategy with config file"""
+        self.load_config(config_path)
+        self.cash = self.config['strategy_params']['initial_capital']
+        self.positions = {}
+        self.portfolio_value = []
+        self.trades = []
+        
+        # State management  
+        self.state = 'QQQ_HOLD'
+        self.current_step = 0
+        self.target_allocation = {}
+        self.last_fear_date = None
+        
+        # For gradual transitions
+        self.transition_plan = {}
+        self.transition_cash_pool = 0
+        
+    def load_config(self, config_path):
+        """Load configuration from JSON file"""
+        with open(config_path, 'r') as f:
+            self.config = json.load(f)
+        
+        # Set strategy parameters as attributes for easy access
+        params = self.config['strategy_params']
+        self.initial_capital = params['initial_capital']
+        self.fear_threshold = params['fear_threshold']
+        self.greed_threshold = params['greed_threshold']
+        self.stop_loss_threshold = params['stop_loss_threshold']
+        self.top_stocks_count = params['top_stocks_count']
+        self.volatility_threshold = params['volatility_threshold']
+        self.volatility_calculation_days = params['volatility_calculation_days']
+        self.transition_steps = params['transition_steps']
+        
+        # Technical indicators
+        tech = self.config['technical_indicators']
+        self.rsi_threshold = tech['rsi_threshold']
+        self.required_indicators = tech['required_indicators']
+        self.sma5_above_sma20 = tech['sma5_above_sma20']
+        self.macd_convergence = tech['macd_convergence']
+        
+        if self.config['output_settings']['show_console_output']:
+            print(f"✅ 配置已加载:")
+            print(f"   初始资金: ${self.initial_capital:,}")
+            print(f"   恐慌阈值: {self.fear_threshold}")
+            print(f"   贪婪阈值: {self.greed_threshold}")
+            print(f"   止损阈值: {self.stop_loss_threshold*100}%")
+            print(f"   转换步数: {self.transition_steps}")
+            print(f"   选股数量: {self.top_stocks_count}")
+            print("")
+        
+    def get_data(self):
+        """Load Fear & Greed Index and stock data"""
+        db_path = self.config['paths']['database_path']
+        if self.config['output_settings']['show_console_output']:
+            print(f"连接数据库: {db_path}")
+        
+        conn = sqlite3.connect(db_path)
+        
+        # Get Fear & Greed Index
+        fg_data = pd.read_sql_query('''
+            SELECT date, fear_greed_index 
+            FROM fear_greed_index 
+            ORDER BY date
+        ''', conn)
+        fg_data['date'] = pd.to_datetime(fg_data['date'])
+        fg_data.set_index('date', inplace=True)
+        
+        # Get real QQQ price data
+        qqq_data = pd.read_sql_query('''
+            SELECT date, close as qqq_close
+            FROM qqq
+            ORDER BY date
+        ''', conn)
+        qqq_data['date'] = pd.to_datetime(qqq_data['date'])
+        qqq_data.set_index('date', inplace=True)
+        
+        # Get available tickers
+        min_records = self.config['data_settings']['min_ticker_records']
+        cursor = conn.cursor()
+        cursor.execute(f'SELECT ticker FROM ticker_list WHERE records > {min_records}')
+        self.available_tickers = [row[0] for row in cursor.fetchall()]
+        
+        conn.close()
+        
+        # Merge data
+        self.data = pd.merge(fg_data, qqq_data, left_index=True, right_index=True, how='inner')
+        
+        # Apply date filters if specified
+        if self.config['data_settings']['start_date']:
+            start_date = pd.to_datetime(self.config['data_settings']['start_date'])
+            self.data = self.data[self.data.index >= start_date]
+        
+        if self.config['data_settings']['end_date']:
+            end_date = pd.to_datetime(self.config['data_settings']['end_date'])
+            self.data = self.data[self.data.index <= end_date]
+        
+        self.data.sort_index(inplace=True)
+        
+        if self.config['output_settings']['show_console_output']:
+            print(f"数据加载完成: {self.data.index.min().strftime('%Y-%m-%d')} 到 {self.data.index.max().strftime('%Y-%m-%d')}")
+            print(f"可用股票数量: {len(self.available_tickers)}")
+            print("")
+        
+    def get_stock_price(self, ticker, date):
+        """Get stock price for a specific ticker and date"""
+        db_path = self.config['paths']['database_path']
+        conn = sqlite3.connect(db_path)
+        
+        query = f'''
+            SELECT close FROM {ticker.lower()} 
+            WHERE date <= ? 
+            ORDER BY date DESC 
+            LIMIT 1
+        '''
+        
+        cursor = conn.cursor()
+        cursor.execute(query, (date.strftime('%Y-%m-%d'),))
+        result = cursor.fetchone()
+        conn.close()
+        
+        return result[0] if result else None
+    
+    def calculate_volatility(self, ticker, current_date):
+        """Calculate historical volatility over configured period"""
+        db_path = self.config['paths']['database_path']
+        conn = sqlite3.connect(db_path)
+        
+        try:
+            start_date = current_date - timedelta(days=self.volatility_calculation_days)
+            
+            query = f'''
+                SELECT date, close FROM {ticker.lower()}
+                WHERE date >= ? AND date <= ?
+                ORDER BY date
+            '''
+            
+            df = pd.read_sql_query(query, conn, params=(
+                start_date.strftime('%Y-%m-%d'), 
+                current_date.strftime('%Y-%m-%d')
+            ))
+            
+            if len(df) > 10:
+                df['returns'] = df['close'].pct_change()
+                volatility = df['returns'].std() * np.sqrt(252)
+                conn.close()
+                return volatility
+                
+        except Exception as e:
+            pass
+        
+        conn.close()
+        return 0
+    
+    def check_technical_indicators(self, ticker, date):
+        """Check RSI, MACD, and SMA technical indicators"""
+        db_path = self.config['paths']['database_path']
+        conn = sqlite3.connect(db_path)
+        
+        try:
+            query = f'''
+                SELECT date, close FROM {ticker.lower()}
+                WHERE date <= ? 
+                ORDER BY date DESC
+                LIMIT 50
+            '''
+            
+            df = pd.read_sql_query(query, conn, params=(date.strftime('%Y-%m-%d'),))
+            
+            if len(df) < 20:
+                conn.close()
+                return False
+                
+            df = df.sort_values('date')
+            df.reset_index(drop=True, inplace=True)
+            
+            # Calculate RSI
+            rsi_period = self.config['technical_indicators']['rsi_period']
+            delta = df['close'].diff()
+            gain = (delta.where(delta > 0, 0)).rolling(window=rsi_period).mean()
+            loss = (-delta.where(delta < 0, 0)).rolling(window=rsi_period).mean()
+            rs = gain / loss
+            rsi = 100 - (100 / (1 + rs))
+            
+            # Calculate MACD
+            ema_fast = self.config['technical_indicators']['ema_periods']['fast']
+            ema_slow = self.config['technical_indicators']['ema_periods']['slow']
+            ema_signal = self.config['technical_indicators']['ema_periods']['signal']
+            
+            ema12 = df['close'].ewm(span=ema_fast).mean()
+            ema26 = df['close'].ewm(span=ema_slow).mean()
+            macd = ema12 - ema26
+            signal = macd.ewm(span=ema_signal).mean()
+            
+            # Calculate SMA
+            sma_fast = self.config['technical_indicators']['sma_periods']['fast']
+            sma_slow = self.config['technical_indicators']['sma_periods']['slow']
+            sma5 = df['close'].rolling(window=sma_fast).mean()
+            sma20 = df['close'].rolling(window=sma_slow).mean()
+            
+            # Check conditions
+            latest_rsi = rsi.iloc[-1]
+            latest_macd = macd.iloc[-1]
+            latest_signal = signal.iloc[-1]
+            latest_sma5 = sma5.iloc[-1]
+            latest_sma20 = sma20.iloc[-1]
+            
+            # RSI condition
+            rsi_ok = latest_rsi > self.rsi_threshold
+            
+            # MACD condition
+            if self.macd_convergence and len(macd) >= 2 and len(signal) >= 2:
+                prev_macd = macd.iloc[-2]
+                prev_signal = signal.iloc[-2]
+                prev_diff = abs(prev_macd - prev_signal)
+                current_diff = abs(latest_macd - latest_signal)
+                macd_ok = current_diff < prev_diff  # Lines are converging
+            else:
+                macd_ok = latest_macd > latest_signal  # Traditional golden cross
+            
+            # SMA condition
+            if self.sma5_above_sma20:
+                sma_ok = latest_sma5 > latest_sma20
+            else:
+                sma_ok = True  # Skip SMA check if disabled
+            
+            # Check if enough indicators are positive
+            conditions = [rsi_ok, macd_ok, sma_ok]
+            score = sum(conditions)
+            
+            conn.close()
+            return score >= self.required_indicators
+            
+        except Exception as e:
+            conn.close()
+            return False
+    
+    def select_volatile_stocks(self, fear_start_date, fear_end_date):
+        """Select stocks using technical indicators, then sort by volatility"""
+        qualified_stocks = []
+        
+        for ticker in self.available_tickers:
+            if self.check_technical_indicators(ticker, fear_end_date):
+                vol = self.calculate_volatility(ticker, fear_end_date)
+                
+                if vol > self.volatility_threshold:
+                    qualified_stocks.append((ticker, vol))
+        
+        # Sort by volatility and select top stocks
+        qualified_stocks.sort(key=lambda x: x[1], reverse=True)
+        top_stocks = [ticker for ticker, vol in qualified_stocks[:self.top_stocks_count]]
+        
+        return top_stocks
+    
+    def execute_trade(self, date, action, ticker=None, shares=None, price=None, value=None):
+        """Execute and record a trade"""
+        fg_index = self.data.loc[date, 'fear_greed_index'] if date in self.data.index else None
+        total_assets = self.calculate_portfolio_value(date)
+        
+        self.trades.append({
+            'date': date,
+            'action': action,
+            'ticker': ticker,
+            'shares': shares,
+            'price': price,
+            'value': value,
+            'fg_index': fg_index,
+            'cnn_fear_greed': fg_index,  # Same as fg_index but with clearer name
+            'cash_after': self.cash,
+            'total_assets': total_assets,
+            'portfolio_state': self.state
+        })
+    
+    def calculate_portfolio_value(self, date):
+        """Calculate total portfolio value"""
+        total_value = self.cash
+        
+        for ticker, shares in self.positions.items():
+            if ticker == 'QQQ':
+                price = self.data.loc[date, 'qqq_close']
+            else:
+                price = self.get_stock_price(ticker, date)
+                
+            if price:
+                total_value += shares * price
+                
+        return total_value
+    
+    def check_stop_loss(self, date):
+        """Check stop loss threshold"""
+        for ticker in list(self.positions.keys()):
+            if ticker == 'QQQ':
+                continue
+                
+            current_price = self.get_stock_price(ticker, date)
+            if not current_price:
+                continue
+                
+            # Find average buy price
+            buy_trades = [t for t in self.trades 
+                         if t['ticker'] == ticker and t['action'] in ['BUY_GRADUAL']]
+            if buy_trades:
+                total_cost = sum(t['price'] * t['shares'] for t in buy_trades)
+                total_shares = sum(t['shares'] for t in buy_trades)
+                avg_price = total_cost / total_shares
+                
+                loss_pct = (current_price - avg_price) / avg_price
+                if loss_pct <= -self.stop_loss_threshold:
+                    # Sell and buy QQQ
+                    shares = self.positions[ticker]
+                    value = shares * current_price
+                    self.cash += value
+                    del self.positions[ticker]
+                    
+                    self.execute_trade(date, 'STOP_LOSS', ticker, shares, current_price, value)
+                    
+                    # Buy QQQ with integer shares
+                    qqq_price = self.data.loc[date, 'qqq_close']
+                    qqq_shares = int(value / qqq_price)
+                    
+                    if qqq_shares > 0:
+                        actual_qqq_value = qqq_shares * qqq_price
+                        self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
+                        self.cash -= actual_qqq_value
+                        self.execute_trade(date, 'BUY_QQQ_STOPLOSS', 'QQQ', qqq_shares, qqq_price, actual_qqq_value)
+                    
+                    if self.config['output_settings']['show_console_output']:
+                        print(f"{date.strftime('%Y-%m-%d')}: Stop loss triggered for {ticker}, loss: {loss_pct*100:.1f}%")
+    
+    def start_transition(self, date, target_type, stocks=None):
+        """Initialize transition plan"""
+        self.transition_plan = {'type': target_type, 'stocks': stocks}
+        
+        if target_type == 'CASH':
+            self.transition_plan['positions_to_sell'] = {}
+            for ticker in self.positions:
+                self.transition_plan['positions_to_sell'][ticker] = self.positions[ticker]
+                    
+        elif target_type == 'QQQ':
+            cash_from_positions = 0
+            for ticker in self.positions:
+                if ticker != 'QQQ':
+                    price = self.get_stock_price(ticker, date)
+                    if price:
+                        cash_from_positions += self.positions[ticker] * price
+            
+            self.transition_cash_pool = self.cash + cash_from_positions
+            self.transition_plan['total_cash_to_invest'] = self.transition_cash_pool
+            self.transition_plan['positions_to_sell'] = {}
+            for ticker in self.positions:
+                if ticker != 'QQQ':
+                    self.transition_plan['positions_to_sell'][ticker] = self.positions[ticker]
+                    
+        elif target_type == 'VOLATILE' and stocks:
+            cash_from_positions = 0
+            for ticker in self.positions:
+                if ticker != 'QQQ':
+                    price = self.get_stock_price(ticker, date)
+                    if price:
+                        cash_from_positions += self.positions[ticker] * price
+            
+            total_available_cash = self.cash + cash_from_positions
+            self.transition_plan['total_cash_to_invest'] = total_available_cash
+    
+    def gradual_transition(self, date, target_type, stocks=None):
+        """Handle gradual transitions with integer shares"""
+        step_size = 1.0 / self.transition_steps
+        
+        if target_type == 'CASH':
+            for ticker in list(self.transition_plan.get('positions_to_sell', {})):
+                if ticker in self.positions:
+                    total_shares_to_sell = self.transition_plan['positions_to_sell'][ticker]
+                    shares_to_sell = int(total_shares_to_sell * step_size)
+                    
+                    if shares_to_sell > 0 and shares_to_sell <= self.positions[ticker]:
+                        price = self.get_stock_price(ticker, date)
+                        if price:
+                            value = shares_to_sell * price
+                            self.cash += value
+                            self.positions[ticker] -= shares_to_sell
+                            if self.positions[ticker] <= 0:
+                                del self.positions[ticker]
+                            self.execute_trade(date, 'SELL_GRADUAL', ticker, shares_to_sell, price, value)
+        
+        elif target_type == 'VOLATILE' and stocks:
+            total_cash = self.transition_plan.get('total_cash_to_invest', 0)
+            cash_this_step = total_cash * step_size
+            
+            if cash_this_step > 0 and self.cash >= cash_this_step:
+                current_step_index = min(self.current_step, len(stocks) - 1)
+                ticker = stocks[current_step_index]
+                
+                price = self.get_stock_price(ticker, date)
+                if price and cash_this_step > 0:
+                    shares = int(cash_this_step / price)
+                    if shares > 0:
+                        actual_value = shares * price
+                        self.positions[ticker] = self.positions.get(ticker, 0) + shares
+                        self.cash -= actual_value
+                        self.execute_trade(date, 'BUY_GRADUAL', ticker, shares, price, actual_value)
+        
+        elif target_type == 'QQQ':
+            # Sell positions gradually
+            for ticker in list(self.transition_plan.get('positions_to_sell', {})):
+                if ticker in self.positions:
+                    total_shares_to_sell = self.transition_plan['positions_to_sell'][ticker]
+                    shares_to_sell = int(total_shares_to_sell * step_size)
+                    
+                    if shares_to_sell > 0 and shares_to_sell <= self.positions[ticker]:
+                        price = self.get_stock_price(ticker, date)
+                        if price:
+                            value = shares_to_sell * price
+                            self.cash += value
+                            self.positions[ticker] -= shares_to_sell
+                            if self.positions[ticker] <= 0:
+                                del self.positions[ticker]
+                            self.execute_trade(date, 'SELL_GRADUAL', ticker, shares_to_sell, price, value)
+            
+            # Buy QQQ
+            total_cash = self.transition_plan.get('total_cash_to_invest', 0)
+            cash_this_step = total_cash * step_size
+            
+            if cash_this_step > 0 and self.cash >= cash_this_step:
+                qqq_price = self.data.loc[date, 'qqq_close']
+                qqq_shares = int(cash_this_step / qqq_price)
+                
+                if qqq_shares > 0:
+                    actual_value = qqq_shares * qqq_price
+                    self.positions['QQQ'] = self.positions.get('QQQ', 0) + qqq_shares
+                    self.cash -= actual_value
+                    self.execute_trade(date, 'BUY_GRADUAL', 'QQQ', qqq_shares, qqq_price, actual_value)
+    
+    def run_backtest(self):
+        """Run the strategy backtest"""
+        if self.config['output_settings']['show_console_output']:
+            print("🚀 开始运行Enhanced Emotional Damage Strategy...")
+            print("")
+        
+        self.get_data()
+        
+        # Start with 100% QQQ
+        first_date = self.data.index[0]
+        qqq_price = self.data.loc[first_date, 'qqq_close']
+        qqq_shares = int(self.initial_capital / qqq_price)
+        self.positions['QQQ'] = qqq_shares
+        self.cash = self.initial_capital - (qqq_shares * qqq_price)
+        
+        fear_start_date = None
+        
+        for date, row in self.data.iterrows():
+            fg_index = row['fear_greed_index']
+            
+            # Check stop loss
+            self.check_stop_loss(date)
+            
+            if self.state == 'QQQ_HOLD':
+                if fg_index < self.fear_threshold:
+                    fear_start_date = date
+                    self.state = 'FEAR_TRANSITION'
+                    self.current_step = 0
+                    self.start_transition(date, 'CASH')
+                    if self.config['output_settings']['show_console_output']:
+                        print(f"{date.strftime('%Y-%m-%d')}: Fear threshold hit ({fg_index:.1f}), starting transition to cash")
+            
+            elif self.state == 'FEAR_TRANSITION':
+                self.gradual_transition(date, 'CASH')
+                self.current_step += 1
+                
+                if self.current_step >= self.transition_steps:
+                    self.state = 'CASH_WAIT'
+                    if self.config['output_settings']['show_console_output']:
+                        print(f"{date.strftime('%Y-%m-%d')}: Transition to cash complete")
+            
+            elif self.state == 'CASH_WAIT':
+                if fg_index >= self.fear_threshold and fear_start_date:
+                    top_stocks = self.select_volatile_stocks(fear_start_date, date)
+                    
+                    if top_stocks:
+                        self.state = 'GREED_TRANSITION'
+                        self.current_step = 0
+                        self.transition_stocks = top_stocks
+                        self.start_transition(date, 'VOLATILE', top_stocks)
+                        if self.config['output_settings']['show_console_output']:
+                            print(f"{date.strftime('%Y-%m-%d')}: Fear recovered, starting transition to volatile stocks: {top_stocks}")
+                    else:
+                        self.state = 'QQQ_TRANSITION'
+                        self.current_step = 0
+                        self.start_transition(date, 'QQQ')
+                        if self.config['output_settings']['show_console_output']:
+                            print(f"{date.strftime('%Y-%m-%d')}: Fear recovered, no suitable stocks, returning to QQQ")
+            
+            elif self.state == 'GREED_TRANSITION':
+                self.gradual_transition(date, 'VOLATILE', self.transition_stocks)
+                self.current_step += 1
+                
+                if self.current_step >= self.transition_steps:
+                    self.state = 'VOLATILE_STOCKS'
+                    if self.config['output_settings']['show_console_output']:
+                        print(f"{date.strftime('%Y-%m-%d')}: Transition to volatile stocks complete")
+            
+            elif self.state == 'VOLATILE_STOCKS':
+                if fg_index > self.greed_threshold:
+                    self.state = 'QQQ_TRANSITION'
+                    self.current_step = 0
+                    self.start_transition(date, 'QQQ')
+                    if self.config['output_settings']['show_console_output']:
+                        print(f"{date.strftime('%Y-%m-%d')}: Greed threshold hit ({fg_index:.1f}), starting transition to QQQ")
+            
+            elif self.state == 'QQQ_TRANSITION':
+                self.gradual_transition(date, 'QQQ')
+                self.current_step += 1
+                
+                if self.current_step >= self.transition_steps:
+                    self.state = 'QQQ_HOLD'
+                    if self.config['output_settings']['show_console_output']:
+                        print(f"{date.strftime('%Y-%m-%d')}: Transition to QQQ complete")
+            
+            # Record portfolio value
+            portfolio_value = self.calculate_portfolio_value(date)
+            self.portfolio_value.append({
+                'date': date,
+                'value': portfolio_value,
+                'state': self.state,
+                'fg_index': fg_index
+            })
+        
+        if self.config['output_settings']['show_console_output']:
+            print("")
+            print(f"✅ 回测完成! 总交易数: {len(self.trades)}")
+            print("")
+    
+    def calculate_performance_metrics(self, returns):
+        """Calculate performance metrics"""
+        total_return = (returns.iloc[-1] / returns.iloc[0] - 1) * 100
+        annual_return = ((returns.iloc[-1] / returns.iloc[0]) ** (252 / len(returns)) - 1) * 100
+        
+        # Calculate max drawdown
+        peak = returns.expanding().max()
+        drawdown = (returns - peak) / peak
+        max_drawdown = drawdown.min() * 100
+        
+        # Calculate Sharpe ratio
+        daily_returns = returns.pct_change().dropna()
+        sharpe_ratio = np.sqrt(252) * daily_returns.mean() / daily_returns.std()
+        
+        # Annual returns by year
+        annual_rets = {}
+        for year in returns.index.year.unique():
+            year_data = returns[returns.index.year == year]
+            if len(year_data) > 1:
+                year_return = (year_data.iloc[-1] / year_data.iloc[0] - 1) * 100
+                annual_rets[year] = year_return
+        
+        return {
+            'total_return': total_return,
+            'annual_return': annual_return,
+            'max_drawdown': max_drawdown,
+            'sharpe_ratio': sharpe_ratio,
+            'annual_returns': annual_rets
+        }
+
+
+def generate_reports(strategy):
+    """Generate all reports based on config settings"""
+    config = strategy.config
+    
+    # Create output directories
+    reports_dir = config['paths']['reports_dir']
+    results_dir = config['paths']['results_dir']
+    os.makedirs(reports_dir, exist_ok=True)
+    os.makedirs(results_dir, exist_ok=True)
+    
+    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+    
+    # Save strategy object if requested
+    if config['output_settings']['save_strategy_object']:
+        strategy_file = os.path.join(results_dir, f'enhanced_strategy_{timestamp}.pkl')
+        with open(strategy_file, 'wb') as f:
+            pickle.dump(strategy, f)
+        print(f"📦 策略对象已保存: {strategy_file}")
+    
+    # Generate CSV reports
+    if config['output_settings']['generate_csv'] or config['output_settings']['generate_detailed_trades']:
+        trades_df = pd.DataFrame(strategy.trades)
+        
+        if config['output_settings']['generate_csv']:
+            csv_file = os.path.join(reports_dir, f'enhanced_trades_{timestamp}.csv')
+            trades_df.to_csv(csv_file, index=False)
+            print(f"📊 交易CSV已保存: {csv_file}")
+        
+        if config['output_settings']['generate_detailed_trades']:
+            detailed_file = os.path.join(reports_dir, f'detailed_trades_{timestamp}.txt')
+            with open(detailed_file, 'w', encoding='utf-8') as f:
+                f.write("Enhanced Emotional Damage Strategy - Detailed Trades Report\n")
+                f.write("=" * 120 + "\n\n")
+                
+                # Summary
+                f.write(f"📊 交易摘要:\n")
+                f.write(f"总交易数: {len(strategy.trades)}\n")
+                f.write(f"交易时间: {trades_df['date'].min().strftime('%Y-%m-%d')} 到 {trades_df['date'].max().strftime('%Y-%m-%d')}\n")
+                
+                # Trade types
+                action_counts = trades_df['action'].value_counts()
+                f.write(f"\n交易类型统计:\n")
+                for action, count in action_counts.items():
+                    f.write(f"  {action}: {count}\n")
+                
+                # Detailed trades
+                f.write(f"\n📋 详细交易记录:\n")
+                f.write("=" * 150 + "\n")
+                f.write(f"{'No':>3s} {'Date':>10s} {'Action':>15s} {'Ticker':>5s} {'Shares':>8s} {'Price':>7s} {'Value':>12s} {'F&G':>4s} {'Cash':>12s} {'Assets':>12s} {'State':>15s}\n")
+                f.write("=" * 150 + "\n")
+                
+                for i, trade in enumerate(strategy.trades, 1):
+                    fg_str = f"{trade.get('fg_index', 0):.0f}" if trade.get('fg_index') else "N/A"
+                    cash_str = f"${trade.get('cash_after', 0):,.0f}" if trade.get('cash_after') else "N/A"
+                    assets_str = f"${trade.get('total_assets', 0):,.0f}" if trade.get('total_assets') else "N/A"
+                    state_str = trade.get('portfolio_state', 'N/A')
+                    f.write(f"{i:3d} {trade['date'].strftime('%Y-%m-%d'):>10s} {trade['action']:>15s} {trade['ticker']:>5s} "
+                           f"{trade['shares']:>8.0f} ${trade['price']:>7.2f} ${trade['value']:>12,.0f} {fg_str:>4s} {cash_str:>12s} {assets_str:>12s} {state_str:>15s}\n")
+            
+            print(f"📝 详细交易报告已保存: {detailed_file}")
+    
+    # Generate PDF report
+    if config['output_settings']['generate_pdf']:
+        try:
+            generate_enhanced_pdf_report(strategy, reports_dir, timestamp)
+            
+        except Exception as e:
+            print(f"⚠️ PDF生成失败: {e}")
+            import traceback
+            traceback.print_exc()
+    
+    print("\n🎉 所有报告生成完成!")
+
+
+def generate_enhanced_pdf_report(strategy, reports_dir, timestamp):
+    """Generate comprehensive PDF report with enhanced layout and proper spacing"""
+    import matplotlib.pyplot as plt
+    import matplotlib.dates as mdates
+    from matplotlib.backends.backend_pdf import PdfPages
+    import seaborn as sns
+    import sqlite3
+    import os
+    
+    # Prepare data
+    portfolio_df = pd.DataFrame(strategy.portfolio_value)
+    portfolio_df.set_index('date', inplace=True)
+    trades_df = pd.DataFrame(strategy.trades)
+    
+    # Get benchmark data
+    db_path = strategy.config['paths']['database_path']
+    conn = sqlite3.connect(db_path)
+    
+    qqq_data = pd.read_sql_query('''
+        SELECT date, close as qqq_close
+        FROM qqq
+        ORDER BY date
+    ''', conn)
+    qqq_data['date'] = pd.to_datetime(qqq_data['date'])
+    qqq_data.set_index('date', inplace=True)
+    
+    spy_data = pd.read_sql_query('''
+        SELECT date, spy_close
+        FROM fear_greed_data
+        ORDER BY date
+    ''', conn)
+    spy_data['date'] = pd.to_datetime(spy_data['date'])
+    spy_data.set_index('date', inplace=True)
+    
+    conn.close()
+    
+    # Merge and align data
+    benchmark_data = pd.merge(qqq_data, spy_data, left_index=True, right_index=True, how='inner')
+    common_dates = portfolio_df.index.intersection(benchmark_data.index)
+    portfolio_df = portfolio_df.loc[common_dates]
+    benchmark_data = benchmark_data.loc[common_dates]
+    
+    # Normalize benchmarks
+    start_value = strategy.initial_capital
+    benchmark_data['qqq_value'] = start_value * (benchmark_data['qqq_close'] / benchmark_data['qqq_close'].iloc[0])
+    benchmark_data['spy_value'] = start_value * (benchmark_data['spy_close'] / benchmark_data['spy_close'].iloc[0])
+    
+    # Calculate metrics
+    strategy_metrics = strategy.calculate_performance_metrics(portfolio_df['value'])
+    qqq_metrics = strategy.calculate_performance_metrics(benchmark_data['qqq_value'])
+    spy_metrics = strategy.calculate_performance_metrics(benchmark_data['spy_value'])
+    
+    # Find max drawdown year
+    def find_max_drawdown_year(returns):
+        peak = returns.expanding().max()
+        drawdown = (returns - peak) / peak
+        max_dd_date = drawdown.idxmin()
+        return max_dd_date.year
+    
+    strategy_dd_year = find_max_drawdown_year(portfolio_df['value'])
+    qqq_dd_year = find_max_drawdown_year(benchmark_data['qqq_value'])
+    spy_dd_year = find_max_drawdown_year(benchmark_data['spy_value'])
+    
+    # Create PDF with multiple pages
+    pdf_file = os.path.join(reports_dir, f'enhanced_strategy_report_{timestamp}.pdf')
+    
+    with PdfPages(pdf_file) as pdf:
+        # Set global font to support text and better spacing
+        plt.rcParams['font.size'] = 10
+        plt.rcParams['axes.titlesize'] = 12
+        plt.rcParams['axes.labelsize'] = 10
+        plt.rcParams['xtick.labelsize'] = 8
+        plt.rcParams['ytick.labelsize'] = 8
+        plt.rcParams['legend.fontsize'] = 8
+        plt.rcParams['figure.titlesize'] = 14
+        
+        # Page 1: Performance Comparison (Full Width)
+        fig1 = plt.figure(figsize=(8.5, 11))
+        fig1.suptitle('Enhanced Emotional Damage Strategy Report', fontsize=16, fontweight='bold', y=0.96)
+        
+        # 1. Total Return Curve (Full width)
+        ax1 = plt.subplot(4, 1, 1)
+        ax1.plot(portfolio_df.index, portfolio_df['value'] / 1000, 
+                 label='Enhanced Strategy', linewidth=2, color='red')
+        ax1.plot(benchmark_data.index, benchmark_data['qqq_value'] / 1000, 
+                 label='QQQ', linewidth=2, color='blue')
+        ax1.plot(benchmark_data.index, benchmark_data['spy_value'] / 1000, 
+                 label='SPY', linewidth=2, color='green')
+        ax1.set_title('Portfolio Performance Comparison', fontsize=14, fontweight='bold', pad=25)
+        ax1.set_ylabel('Portfolio Value ($K)', fontsize=11)
+        ax1.legend(fontsize=10, loc='upper left')
+        ax1.grid(True, alpha=0.3)
+        ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
+        for label in ax1.get_xticklabels():
+            label.set_rotation(45)
+        
+        # 2. Performance Metrics Table (Full width)
+        ax2 = plt.subplot(4, 1, 2)
+        ax2.axis('off')
+        
+        metrics_data = [
+            ['Metric', 'Enhanced Strategy', 'QQQ', 'SPY'],
+            ['Total Return', f"{strategy_metrics['total_return']:.1f}%", 
+             f"{qqq_metrics['total_return']:.1f}%", f"{spy_metrics['total_return']:.1f}%"],
+            ['Annual Return', f"{strategy_metrics['annual_return']:.1f}%", 
+             f"{qqq_metrics['annual_return']:.1f}%", f"{spy_metrics['annual_return']:.1f}%"],
+            ['Max Drawdown', f"{strategy_metrics['max_drawdown']:.1f}%", 
+             f"{qqq_metrics['max_drawdown']:.1f}%", f"{spy_metrics['max_drawdown']:.1f}%"],
+            ['Max DD Year', str(strategy_dd_year), str(qqq_dd_year), str(spy_dd_year)],
+            ['Sharpe Ratio', f"{strategy_metrics['sharpe_ratio']:.2f}", 
+             f"{qqq_metrics['sharpe_ratio']:.2f}", f"{spy_metrics['sharpe_ratio']:.2f}"],
+            ['Total Trades', f"{len(strategy.trades)}", 'N/A', 'N/A']
+        ]
+        
+        table = ax2.table(cellText=metrics_data, cellLoc='center', loc='center')
+        table.auto_set_font_size(False)
+        table.set_fontsize(10)
+        table.scale(1.2, 2.0)  # More height for readability
+        
+        for i in range(len(metrics_data[0])):
+            table[(0, i)].set_facecolor('#40466e')
+            table[(0, i)].set_text_props(weight='bold', color='white')
+        
+        ax2.set_title('Performance Metrics Comparison', fontsize=14, fontweight='bold', pad=25)
+        
+        # 3. Strategy State Timeline (Full width)
+        ax3 = plt.subplot(4, 1, 3)
+        
+        # Create state mapping and colors
+        state_colors = {
+            'QQQ_HOLD': 'blue',
+            'FEAR_TRANSITION': 'orange', 
+            'CASH_WAIT': 'gray',
+            'GREED_TRANSITION': 'yellow',
+            'VOLATILE_STOCKS': 'red',
+            'QQQ_TRANSITION': 'green'
+        }
+        
+        # Plot portfolio value with state colors
+        for state, color in state_colors.items():
+            state_data = portfolio_df[portfolio_df['state'] == state]
+            if not state_data.empty:
+                ax3.scatter(state_data.index, state_data['value'] / 1000, 
+                           c=color, s=2, alpha=0.8, label=state)
+        
+        # Add stop-loss markers
+        stop_loss_trades = trades_df[trades_df['action'] == 'STOP_LOSS']
+        if not stop_loss_trades.empty:
+            for _, trade in stop_loss_trades.iterrows():
+                ax3.axvline(x=trade['date'], color='red', linestyle='--', alpha=0.8, linewidth=1)
+        
+        ax3.set_title('Strategy State Timeline with Stop-Loss Events', fontsize=14, fontweight='bold', pad=25)
+        ax3.set_ylabel('Total Assets ($K)', fontsize=11)
+        ax3.legend(bbox_to_anchor=(1.02, 1), loc='upper left', fontsize=8)
+        ax3.grid(True, alpha=0.3)
+        ax3.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
+        for label in ax3.get_xticklabels():
+            label.set_rotation(45)
+        
+        # 4. Annual Returns Comparison (Full width)
+        ax4 = plt.subplot(4, 1, 4)
+        years = list(strategy_metrics['annual_returns'].keys())
+        enhanced_returns = list(strategy_metrics['annual_returns'].values())
+        qqq_returns = [qqq_metrics['annual_returns'].get(year, 0) for year in years]
+        spy_returns = [spy_metrics['annual_returns'].get(year, 0) for year in years]
+        
+        x = np.arange(len(years))
+        width = 0.25
+        
+        ax4.bar(x - width, enhanced_returns, width, label='Enhanced Strategy', color='red', alpha=0.8)
+        ax4.bar(x, qqq_returns, width, label='QQQ', color='blue', alpha=0.8)
+        ax4.bar(x + width, spy_returns, width, label='SPY', color='green', alpha=0.8)
+        
+        ax4.set_title('Annual Returns Comparison by Year', fontsize=14, fontweight='bold', pad=25)
+        ax4.set_ylabel('Annual Return (%)', fontsize=11)
+        ax4.set_xlabel('Year', fontsize=11)
+        ax4.set_xticks(x)
+        ax4.set_xticklabels(years)
+        for label in ax4.get_xticklabels():
+            label.set_rotation(90)  # Vertical text for years
+        ax4.legend(fontsize=10)
+        ax4.grid(True, alpha=0.3, axis='y')
+        
+        plt.subplots_adjust(left=0.1, right=0.85, top=0.90, bottom=0.08, hspace=0.6)
+        pdf.savefig(fig1, bbox_inches='tight', dpi=150)
+        plt.close()
+        
+        # Page 2: Detailed Analysis
+        fig2 = plt.figure(figsize=(8.5, 11))
+        fig2.suptitle('Detailed Trading and Risk Analysis', fontsize=16, fontweight='bold', y=0.95)
+        
+        # 5. Stop-Loss Analysis (Full width)
+        ax5 = plt.subplot(3, 1, 1)
+        
+        if not stop_loss_trades.empty:
+            stop_loss_trades_copy = stop_loss_trades.copy()
+            stop_loss_trades_copy['year'] = stop_loss_trades_copy['date'].dt.year
+            stop_loss_by_year = stop_loss_trades_copy.groupby('year').size()
+            
+            ax5.bar(stop_loss_by_year.index, stop_loss_by_year.values, color='red', alpha=0.8, width=0.6)
+            ax5.set_title('Stop-Loss Triggers by Year', fontsize=14, fontweight='bold', pad=30)
+            ax5.set_ylabel('Number of Stop-Loss Events', fontsize=11)
+            ax5.set_xlabel('Year', fontsize=11)
+            ax5.grid(True, alpha=0.3, axis='y')
+            for label in ax5.get_xticklabels():
+                label.set_rotation(45)
+        else:
+            ax5.text(0.5, 0.5, 'No Stop-Loss Events Triggered', ha='center', va='center', 
+                     transform=ax5.transAxes, fontsize=14, fontweight='bold')
+            ax5.set_title('Stop-Loss Analysis', fontsize=14, fontweight='bold', pad=30)
+        
+        # 6. Trade Frequency Analysis (Full width) 
+        ax6 = plt.subplot(3, 1, 2)
+        
+        trades_df_copy = trades_df.copy()
+        trades_df_copy['year'] = trades_df_copy['date'].dt.year
+        trade_frequency = trades_df_copy.groupby('year').size()
+        
+        ax6.bar(trade_frequency.index, trade_frequency.values, color='purple', alpha=0.8, width=0.6)
+        ax6.set_title('Trading Activity by Year', fontsize=14, fontweight='bold', pad=30)
+        ax6.set_ylabel('Number of Trades', fontsize=11)
+        ax6.set_xlabel('Year', fontsize=11)
+        ax6.grid(True, alpha=0.3, axis='y')
+        for label in ax6.get_xticklabels():
+            label.set_rotation(45)
+        
+        # 7. Fear & Greed Index with Trading Signals (Full width)
+        ax7 = plt.subplot(3, 1, 3)
+        
+        # Plot Fear & Greed Index
+        fg_data = portfolio_df['fg_index'].dropna()
+        ax7.plot(fg_data.index, fg_data.values, color='purple', alpha=0.8, linewidth=1.5)
+        ax7.axhline(y=25, color='red', linestyle='--', alpha=0.7, linewidth=2, label='Fear Threshold (25)')
+        ax7.axhline(y=75, color='green', linestyle='--', alpha=0.7, linewidth=2, label='Greed Threshold (75)')
+        ax7.fill_between(fg_data.index, 0, 25, alpha=0.2, color='red', label='Fear Zone')
+        ax7.fill_between(fg_data.index, 75, 100, alpha=0.2, color='green', label='Greed Zone')
+        
+        # Add trade markers
+        buy_trades = trades_df[trades_df['action'].str.contains('BUY')]
+        sell_trades = trades_df[trades_df['action'].str.contains('SELL')]
+        
+        if not buy_trades.empty:
+            ax7.scatter(buy_trades['date'], buy_trades['fg_index'], 
+                       color='darkgreen', s=15, alpha=0.8, marker='^', label='Buy Signals', zorder=5)
+        if not sell_trades.empty:
+            ax7.scatter(sell_trades['date'], sell_trades['fg_index'], 
+                       color='darkred', s=15, alpha=0.8, marker='v', label='Sell Signals', zorder=5)
+        
+        ax7.set_title('Fear & Greed Index with Trading Signals', fontsize=14, fontweight='bold', pad=30)
+        ax7.set_ylabel('CNN Fear & Greed Index', fontsize=11)
+        ax7.set_xlabel('Date', fontsize=11)
+        ax7.set_ylim(0, 100)
+        ax7.legend(bbox_to_anchor=(1.02, 1), loc='upper left', fontsize=8)
+        ax7.grid(True, alpha=0.3)
+        ax7.xaxis.set_major_formatter(mdates.DateFormatter('%Y'))
+        for label in ax7.get_xticklabels():
+            label.set_rotation(45)
+        
+        plt.subplots_adjust(left=0.1, right=0.85, top=0.88, bottom=0.10, hspace=1.0)
+        pdf.savefig(fig2, bbox_inches='tight', dpi=150)
+        plt.close()
+    
+    # Test PDF readability by checking file size and trying to read it
+    try:
+        file_size = os.path.getsize(pdf_file)
+        if file_size < 50000:  # Less than 50KB might indicate issues
+            print(f"⚠️ Warning: PDF file size seems small ({file_size} bytes)")
+        else:
+            print(f"📈 PDF报告已保存: {pdf_file} (Size: {file_size:,} bytes)")
+        
+        # Quick validation - ensure we can open the file
+        with open(pdf_file, 'rb') as f:
+            header = f.read(10)
+            if not header.startswith(b'%PDF'):
+                print(f"⚠️ Warning: Generated file may not be a valid PDF")
+            else:
+                print(f"✅ PDF file validation passed")
+                
+    except Exception as e:
+        print(f"⚠️ Error validating PDF: {e}")
+    
+    print(f"📈 PDF报告已保存: {pdf_file}")
+
+
+def main():
+    """Main function to run strategy with config"""
+    config_file = 'config.json'
+    
+    if not os.path.exists(config_file):
+        print(f"❌ 配置文件未找到: {config_file}")
+        print("请确保config.json文件存在于当前目录")
+        return
+    
+    try:
+        # Initialize and run strategy
+        strategy = ConfigurableEmotionalDamageStrategy(config_file)
+        strategy.run_backtest()
+        
+        # Generate reports
+        generate_reports(strategy)
+        
+    except Exception as e:
+        print(f"❌ 运行失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+
+if __name__ == "__main__":
+    main()

silly/归墟界面.html

@@ -0,0 +1,38 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>归墟 - 【梦星献作】</title>
+  <style>
+    @import url('https://fonts.googleapis.com/css2?family=ZCOOL+KuaiLe&family=Ma+Shan+Zheng&display=swap');
+
+    body, html {
+      margin: 0;
+      padding: 0;
+      width: 100%;
+    }
+
+    #startup-page {
+      min-height: 100vh;
+      width: 100%;
+      height: auto;
+      color: white;
+      font-family: 'ZCOOL+KuaiLe', 'Ma+Shan+Zheng', serif;
+      background-size: cover;
+      background-position: center;
+      transition: background-image 1s ease-in-out;
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      position: relative;
+    }
+  </style>
+</head>
+<body>
+  <div id="startup-page">
+    <h1>归墟 - 【梦星献作】</h1>
+    <p>这是一个测试页面，显示HTML正在正常渲染。</p>
+  </div>
+</body>
+</html>

tokens.txt

@@ -12,7 +12,6 @@ chatgpt_model=gpt-4o-mini-2024-07-18
 claude_API=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
 alphavantage_API=H1TNEAN9JONTFCY6
 VaultWarden_ADMIN_TOKEN=U2WwYJYRprFMpqxZdTpj6afU8VfBoGU0JSLvHE30WkbNMpAijHccDU1GPEI0/Bff
-kimi_API=sk-xA6IE4AJTzXQh3MerrlAuriX3jhUDjRW4idMrIWfFteEahPe
 kimi_API_Base_URL=https://api.moonshot.ai/anthropic
 Gemeni_API=AIzaSyBZvm_cr5iHgPUpiDTZ7j_r4vYL8yW-tKw
 
@@ -44,5 +43,5 @@ claude_invite_link=https://discord.com/api/oauth2/authorize?client_id=1390887125
 #Set environment variables to use kimi:
 ```
 export ANTHROPIC_BASE_URL=https://api.moonshot.ai/anthropic
-export ANTHROPIC_AUTH_TOKEN=xA6IE4AJTzXQh3MerrlAuriX3jhUDjRW4idMrIWfFteEahPe
+export ANTHROPIC_AUTH_TOKEN=sk-8IPjUk0pAv8AsLKaLgx0v1iuruEkJB9WQSLIA2u6Js27ZYgD
 ```