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| ## ⚙️ Strategy Configuration | |
| | Parameter | Value | Description | | |
| |-----------|-------|-------------| | |
| | `strategy` | `Bollinger_w10_std1.5` | Trading strategy name | | |
| | `symbol` | `EURUSD` | Trading instrument | | |
| | `account_name` | `FUNDEDNEXT_STLR2_6K` | Trading account identifier | | |
| | `bar_type` | `tick` | Bar type (tick/volume/time/dollar/...) | | |
| | `bar_size` | `M1` | Bar timeframe | | |
| | `price` | `mid_price` | Price type (bid/ask/mid) | | |
| | `target_lookback` | `20` | Target calculation lookback periods | | |
| | `profit_target` | `1` | Profit target in risk multiples | | |
| | `stop_loss` | `2` | Stop loss in risk multiples | | |
| | `max_holding_period` | `{"days": 1}` | Maximum holding period | | |
| | `min_ret` | `0` | Minimum return threshold | | |
| | `vertical_barrier_zero` | `True` | Vertical barrier at zero crossing | | |
| | `filter_as_series` | `False` | Filter as time series | | |
| --- | |
| # 📊 Hyperparameter Tuning Analysis Report | |
| *Generated on: 2026-05-03 15:37:00* | |
| ## 🎯 Executive Summary | |
| ### Key Findings | |
| - **Best Model Performance**: `0.7984 ± 0.0101` | |
| - **Risk Level**: `LOW` | |
| > ✅ **Excellent**: Model shows high consistency across validation folds. | |
| ## 📈 Main Visualization | |
| ### Hyperparameter Analysis Overview | |
| <img 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" style="width: 100%; max-width: 1400px;"> | |
| ## 📊 Performance Overview | |
| **Total Models Evaluated**: `36` | |
| **Performance Range**: `0.7984` - `0.6039` | |
| **Average Performance**: `0.7040 ± 0.0599` | |
| ## 🏆 Top Models Comparison | |
| | Rank | Mean Score | Std Score | Fit Time (s) | Efficiency | | |
| |------|------------|-----------|--------------|------------| | |
| | 1 | `0.7984` | `0.0101` | `2.35` | `0.34` | | |
| | 2 | `0.7977` | `0.0418` | `2.05` | `0.39` | | |
| | 3 | `0.7970` | `0.0172` | `2.71` | `0.29` | | |
| | 4 | `0.7970` | `0.0232` | `3.77` | `0.21` | | |
| | 5 | `0.7963` | `0.0150` | `2.10` | `0.38` | | |
| ## 🛡️ Stability Analysis | |
| **Models meeting stability threshold**: `23` | |
| ### Best Stable Model | |
| - **Score**: `0.7984` | |
| - **Standard Deviation**: `0.0101` | |
| ## ⏱️ Time-Efficiency Analysis | |
| ### Training Time Statistics | |
| - **Fastest Model**: `0.62s` | |
| - **Slowest Model**: `4.92s` | |
| - **Average Time**: `3.01s` | |
| - **Median Time**: `3.20s` | |
| ## 📊 Hyperparameter Trends | |
| ### Parameter Impact Analysis | |
| #### n_estimators | |
| | Value | Mean Score | Score Std | Count | Avg Time (s) | | |
| |-------|------------|-----------|-------|--------------| | |
| | `200` | `0.7277` | `0.0559` | `12` | `2.91` | | |
| | `50` | `0.6963` | `0.0684` | `12` | `3.36` | | |
| | `100` | `0.6881` | `0.0514` | `12` | `2.76` | | |
| #### max_depth | |
| | Value | Mean Score | Score Std | Count | Avg Time (s) | | |
| |-------|------------|-----------|-------|--------------| | |
| | `7` | `0.7207` | `0.0473` | `9` | `3.05` | | |
| | `3` | `0.7136` | `0.0549` | `9` | `3.08` | | |
| | `10` | `0.6928` | `0.0821` | `9` | `2.34` | | |
| | `5` | `0.6889` | `0.0536` | `9` | `3.57` | | |
| #### min_samples_split | |
| | Value | Mean Score | Score Std | Count | Avg Time (s) | | |
| |-------|------------|-----------|-------|--------------| | |
| | `2` | `0.7239` | `0.0555` | `12` | `2.88` | | |
| | `5` | `0.7026` | `0.0469` | `12` | `3.23` | | |
| | `10` | `0.6857` | `0.0730` | `12` | `2.93` | | |
| ## 🎯 Model Selection Recommendations | |
| ### Final Recommendation | |
| ### Recommended Hyperparameters | |
| ```python | |
| n_estimators = 50 | |
| max_depth = 10 | |
| min_samples_split = 10 | |
| ``` | |
| ## 🔍 Specific Insights | |
| ### Model Architecture Analysis | |
| **Overall Performance**: `EXCELLENT` | |
| **Stability Rating**: `HIGH` | |
| ### Best Model Details | |
| - **max_depth**: `10` | |
| - **n_estimators**: `50` | |
| - **mean_test_score**: `0.7984` | |
| - **Standard Deviation**: `0.0101` | |
| - **Training Time**: `2.35s` | |
| ## 💼 Practical Trading Implications | |
| ### Performance Expectations | |
| - **Expected Win Rate**: `~79.8%` | |
| - **Performance Consistency**: `High` | |
| - **Risk Assessment**: `LOW` | |
| ### Trading Strategy Considerations | |
| > ✅ **Stable Strategy Detected** | |
| > - Can consider standard position sizing | |
| > - Strategy likely to perform consistently | |
| > - Lower monitoring frequency acceptable | |
| ## 📋 Detailed Results | |
| ### Complete Results (Top 10 Models) | |
| | Rank | mean_test_score | std_test_score | mean_fit_time | n_estimators | max_depth | min_samples_split | | |
| | --- | --- | --- | --- | --- | --- | --- | | |
| | 1 | `0.7984` | `0.0101` | `2.35s` | `50` | `10` | `10` | | |
| | 2 | `0.7977` | `0.0418` | `2.05s` | `200` | `7` | `10` | | |
| | 3 | `0.7970` | `0.0172` | `2.71s` | `200` | `10` | `10` | | |
| | 4 | `0.7970` | `0.0232` | `3.77s` | `50` | `3` | `2` | | |
| | 5 | `0.7963` | `0.0150` | `2.10s` | `200` | `10` | `2` | | |
| | 6 | `0.7807` | `0.0244` | `1.68s` | `100` | `3` | `2` | | |
| | 7 | `0.7559` | `0.0396` | `2.35s` | `200` | `7` | `2` | | |
| | 8 | `0.7552` | `0.0329` | `2.88s` | `200` | `5` | `2` | | |
| | 9 | `0.7551` | `0.0322` | `4.60s` | `50` | `7` | `5` | | |
| | 10 | `0.7414` | `0.0369` | `2.02s` | `50` | `3` | `5` | | |
| ## 📚 Appendix | |
| ### A. Glossary | |
| - **Mean Test Score**: Average performance across CV folds | |
| - **Std Test Score**: Standard deviation across CV folds | |
| - **Mean Fit Time**: Average training time per model | |
| - **Stability Threshold**: Maximum acceptable std (default: 0.03) | |
| - **Efficiency Score**: Performance per unit of training time | |
| ### B. Analysis Methodology | |
| 1. **Cross-Validation**: Typically 5-fold stratified CV | |
| 2. **Scoring Metric**: mean_test_score | |
| 3. **Hyperparameter Search**: GridSearch/RandomizedSearch | |
| 4. **Stability Analysis**: Models with std ≤ 0.03 considered stable | |
| 5. **Time Efficiency**: Pareto frontier analysis | |
| --- | |
| *Report generated by Hyperparameter Analysis Module* |