Anomaly Detection Alerts
Automated detection of suspicious patterns and potential issues in optimization results.
High Severity
0
Medium Severity
1
Low Severity
0
Low Walk-Forward Efficiency
Recommendations
- Consider re-optimizing with different parameters or using Walk-Forward Analysis to validate results.
Overfitting Detection
Analysis of potential overfitting in the optimization results.
Overfitting Detection
Analysis of potential overfitting indicators based on WFA metrics and performance gaps.
Moderate Overfitting Risk
Detailed Analysis
| Indicator | Value | Status | Description | |
|---|---|---|---|---|
| WFA Overfitting Score | 0.0% | Passed | Direct measure of overfitting from Walk-Forward Analysis. Higher values indicate stronger overfitting. | |
| IS vs OOS Return Gap | -146.6% (IS: -1.74%, OOS: 0.81%) | Passed | Large gap between in-sample and out-of-sample returns indicates overfitting. | |
| Walk-Forward Efficiency (WFE) | 46.6% | Warning | Low WFE indicates poor out-of-sample performance relative to in-sample. | |
| Consistency (Profitability Rate) | 100.0% | Passed | Low consistency means only few validation periods were profitable. | |
| Sharpe Ratio Degradation | IS: -0.15, OOS: 0.14 (Δ-0.29) | Passed | Large drop in Sharpe ratio from IS to OOS indicates overfitting. | |
| Win Rate Degradation | -13.9% | Passed | Large drop in win rate from IS to OOS suggests overfitting. |
Recommendations
- Monitor performance on new data
- Consider re-optimization with stricter constraints
Performance Snapshot
Key metrics derived from the backtest and optimisation results.
Score
Tested at
Submitted by
Result ID
Strategy Parameters
Final parameter set used to generate the optimisation result.
Analysis Coverage
Which advanced analysis pipelines were executed for this result.
Optimisation Setup
Core configuration of the optimisation and the resulting backtest statistics.
Algorithm Configuration
Performance Metrics
Algorithm Performance
Information about the optimization algorithm, search strategy, and performance metrics.
Score Distribution
Distribution of Score values across all optimization results for this strategy and period.
Weighted Score Breakdown
Detailed breakdown of how the optimization score was calculated from individual metrics.
Notes & Flagging
Add notes and flag optimization results for review.
Multi-Objective Optimization
Advanced multi-objective optimization analysis.
Volatility Regimes Performance
Analysis of strategy performance across different volatility regimes.
Market Regime Analysis
Analysis of strategy performance across different market regimes.
Optimization Convergence
Evolution of Score throughout the optimization process. Shows how the algorithm explored the parameter space and improved results.
Degradation Timeline
Evolution of key metrics throughout the optimization process.
Exploration vs Exploitation
Analysis of the optimization strategy balance: Exploration (searching new areas) vs Exploitation (improving found solutions).
90.9%
Total Iterations
500
Best Score
0.14
Parameter Analysis
Advanced analysis of parameter space coverage, statistical significance, stability, noise, and robustness.
Statistical Significance
Assessment of confidence levels, sample size adequacy, and statistical power for the optimization results.
Sample Size
500
Min recommended: 110
Overall Confidence
96.2%
Statistical Power
99.0%
Adequate
Score Mean
-0.05
±0.00 (SE)
Confidence Intervals
Metric Confidence Intervals (95% CI)
Mean: -1.92%, Std Dev: 1.22
Mean: 32.13%, Std Dev: 3.06
Mean: -0.05, Std Dev: 0.03
Recommendations
- Statistical analysis indicates adequate sample size and confidence levels.
How to Interpret
- Sample Size Adequacy: Indicates if you have enough data points for reliable statistical inference. Rule of thumb: 10-30 samples per parameter.
- Confidence Level: Overall confidence in the results, based on sample size, confidence intervals, and statistical power.
- Confidence Intervals: Range of values where the true parameter likely falls. Narrower intervals indicate higher precision.
- Statistical Power: Probability of detecting a true effect if it exists. Recommended threshold: 0.8 (80%).
Parameter Stability Score
Analysis of parameter stability: how much results change when parameters are slightly modified. Higher stability indicates more robust parameter sets.
Overall Stability
58.7%
Avg Sensitivity
0.07
Score change per unit
Parameters Analyzed
11
Most Stable
orderBookScore
Parameter Stability Details
30.00 - 30.00
100.00 - 100.00
20.00 - 20.00
4.00 - 4.00
32.00 - 32.00
1.50 - 1.50
30.00 - 30.00
40.00 - 40.00
0.45 - 0.45
25.00 - 25.00
270.00 - 270.00
Most Stable Parameters
Least Stable Parameters
Recommendations
- Most unstable parameters: largeOrdersThreshold, confidenceThreshold, orderBookThreshold. Focus optimization efforts on these.
How to Interpret
- Stability Score: Measures how much results change when parameters are slightly modified. Higher scores (0.8+) indicate robust parameters.
- Sensitivity: Rate of score change per unit parameter change. Lower sensitivity is better for stability.
- Optimal Range: Parameter range where score variance is minimized. Use this range for more stable results.
- Low Stability: May indicate overfitting or that parameters are too finely tuned. Consider using more conservative values.
Noise Level Estimation
Analysis of noise level in optimization results. High noise indicates unreliable or inconsistent results.
Overall Noise Level
61.1%
Moderate noise
Score Variance
0.00
Coefficient of Variation: 0.670
Score Noise Level
86.8%
Parameters Analyzed
11
Parameter Noise Levels
Recommendations
- Moderate noise level. Consider increasing iterations or sample size for more reliable results.
- High coefficient of variation (0.67). Score variance is significant relative to mean.
How to Interpret
- Noise Level: Measures variability and inconsistency in results. Lower is better (0-40% = low, 40-70% = moderate, 70%+ = high).
- Coefficient of Variation: Ratio of standard deviation to mean. Higher values indicate more relative variability.
- High Noise: May indicate overfitting, insufficient data, or that results are dominated by random variations rather than true parameter effects.
- Low Noise: Indicates consistent, reliable results that are likely to generalize well.
Parameter Robustness Score
Analysis of parameter robustness: how much parameters can change before results degrade significantly. Higher robustness indicates more forgiving parameters.
Overall Robustness
9.4%
Parameters Analyzed
11
Most Robust
largeOrdersThreshold
Least Robust
orderBookThreshold
Low Parameter Robustness Detected
Parameters show low tolerance to changes. Results may degrade significantly with small parameter variations. Consider:
- Using fixed values for least robust parameters
- Implementing parameter locking
- Narrowing parameter ranges
- Using more conservative parameter values
Parameter Robustness Details
240.00 - 240.00
120.00 - 120.00
50.00 - 50.00
55.00 - 55.00
12.00 - 12.00
10.00 - 10.00
30.00 - 30.00
4.00 - 4.00
32.00 - 32.00
1.70 - 1.70
0.45 - 0.45
Most Robust Parameters
Least Robust Parameters
Recommendations
- Overall parameter robustness is low. Results may be sensitive to parameter changes.
- Consider using fixed values for least robust parameters or implementing parameter locking.
- Least robust parameters: orderBookThreshold, volumeThreshold, volumeSellScore. Focus on precise tuning of these.
How to Interpret
- Robustness Score: Measures how tolerant a parameter is to changes. Higher scores (0.8+) indicate parameters that can vary without significantly affecting results.
- Tolerance: Percentage of parameter range where score remains within 10% of optimal. Higher tolerance = more robust.
- Degradation Rate: How fast score decreases as parameter moves away from optimal. Lower is better.
- Stable Range: Parameter range where results remain stable. Use values within this range for reliable performance.
- Low Robustness: Parameters that require precise tuning. Consider fixing these values or using very narrow ranges.
Next Steps Suggestions
Recommendations for further optimization based on current results.
Next Steps Suggestions
Recommendations for areas to explore in future optimizations based on current results analysis.
Overall Coverage
83.3%
Parameter space explored
Suggestions Generated
14
1 high priority
Parameters Analyzed
11
Optimization Suggestions
Fill Gap in orderBookThreshold
Unexplored gap detected: 0.35 - 0.45. This region may contain optimal values.
Parameter: orderBookThreshold
Suggested Range: 0.35 - 0.45
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in orderBookScore
Unexplored gap detected: 10.00 - 15.00. This region may contain optimal values.
Parameter: orderBookScore
Suggested Range: 10.00 - 15.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in signalLifetime
Unexplored gap detected: 20.00 - 40.00. This region may contain optimal values.
Parameter: signalLifetime
Suggested Range: 20.00 - 40.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~4
Fill Gap in volumeBuyScore
Unexplored gap detected: 10.00 - 15.00. This region may contain optimal values.
Parameter: volumeBuyScore
Suggested Range: 10.00 - 15.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in stopLossPercent
Unexplored gap detected: 2.50 - 3.00. This region may contain optimal values.
Parameter: stopLossPercent
Suggested Range: 2.50 - 3.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in volumeSellScore
Unexplored gap detected: 8.00 - 12.00. This region may contain optimal values.
Parameter: volumeSellScore
Suggested Range: 8.00 - 12.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in volumeThreshold
Unexplored gap detected: 1.90 - 2.10. This region may contain optimal values.
Parameter: volumeThreshold
Suggested Range: 1.90 - 2.10
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in analysisInterval
Unexplored gap detected: 10.00 - 20.00. This region may contain optimal values.
Parameter: analysisInterval
Suggested Range: 10.00 - 20.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~2
Fill Gap in institutionalScore
Unexplored gap detected: 8.00 - 12.00. This region may contain optimal values.
Parameter: institutionalScore
Suggested Range: 8.00 - 12.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~1
Fill Gap in confidenceThreshold
Unexplored gap detected: 25.00 - 35.00. This region may contain optimal values.
Parameter: confidenceThreshold
Suggested Range: 25.00 - 35.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~2
Fill Gap in largeOrdersThreshold
Unexplored gap detected: 30.00 - 60.00. This region may contain optimal values.
Parameter: largeOrdersThreshold
Suggested Range: 30.00 - 60.00
Expected Benefit: May find optimal values in unexplored region
Estimated Iterations: ~6
Explore Boundaries of signalLifetime
Optimal value (120.00) is near boundary. Consider exploring beyond tested range.
Parameter: signalLifetime
Suggested Range: 10.00 - 130.00
Expected Benefit: May find better values outside current range
Estimated Iterations: ~4
Explore Boundaries of volumeBuyScore
Optimal value (10.00) is near boundary. Consider exploring beyond tested range.
Parameter: volumeBuyScore
Suggested Range: 7.00 - 43.00
Expected Benefit: May find better values outside current range
Estimated Iterations: ~2
Focus on orderBookScore & signalLifetime Combination
These parameters appear frequently in top results. Consider fine-tuning their combination.
Parameter: orderBookScore, signalLifetime
Expected Benefit: May improve results by optimizing this parameter combination
Estimated Iterations: ~50
Parameter Coverage Analysis
| Parameter | Coverage | Tested Range | Optimal Value | Gaps |
|---|---|---|---|---|
| volumeThreshold | 83.3% | 1.10 - 2.50 | 1.70 | 9 |
| volumeSellScore | 83.3% | 8.00 - 40.00 | 32.00 | 10 |
| institutionalScore | 83.3% | 8.00 - 40.00 | 12.00 | 10 |
| orderBookThreshold | 83.3% | 0.15 - 0.55 | 0.45 | 6 |
| orderBookScore | 83.3% | 10.00 - 40.00 | 30.00 | 8 |
| signalLifetime | 83.3% | 20.00 - 120.00 | 120.00 | 7 |
| volumeBuyScore | 83.3% | 10.00 - 40.00 | 10.00 | 8 |
| stopLossPercent | 83.3% | 3.00 - 8.00 | 4.00 | 12 |
| analysisInterval | 83.3% | 10.00 - 60.00 | 50.00 | 7 |
| confidenceThreshold | 83.3% | 25.00 - 75.00 | 55.00 | 7 |
| largeOrdersThreshold | 83.3% | 30.00 - 300.00 | 240.00 | 11 |
Overall Recommendations
- 1 high-priority suggestions identified. Review and implement for potential improvements.
Metric Comparison Table
Compare key metrics across different optimization results.
Metric Comparison Table
Comprehensive comparison of all metrics for top 20 optimization results. Values are compared against the average.
Rank | Score | Return (%) | Win Rate (%) | Sharpe | Profit Factor | Max DD (%) | Trades | WFE (%) | Consistency (%) | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
#5 | 0.14 | 4.67% | 38.64% | 0.14 | 1.58 | 2.12% | 88 | 27.54% | 50.00% | View → |
#9 | 0.12 | 4.23% | 36.05% | 0.12 | 1.49 | 2.25% | 86 | -27.12% | 50.00% | View → |
#11 | 0.12 | 3.92% | 44.16% | 0.12 | 1.44 | 4.19% | 77 | 63.89% | 100.00% | View → |
#16 | 0.10 | 3.15% | 45.95% | 0.10 | 1.38 | 2.70% | 74 | 4.18% | 50.00% | View → |
#18 | 0.09 | 3.13% | 41.86% | 0.09 | 1.32 | 2.90% | 86 | -21.02% | 50.00% | View → |
#21 | 0.10 | 3.05% | 40.70% | 0.10 | 1.37 | 1.72% | 86 | -41.82% | 50.00% | View → |
#28 | 0.07 | 2.71% | 32.58% | 0.07 | 1.27 | 3.19% | 89 | 64.12% | 100.00% | View → |
#39 | 0.08 | 2.28% | 34.62% | 0.08 | 1.25 | 2.23% | 78 | 780.00% | 50.00% | View → |
#47 | 0.05 | 1.96% | 38.71% | 0.05 | 1.19 | 3.22% | 93 | -16.97% | 50.00% | View → |
#48 | 0.06 | 1.91% | 39.47% | 0.06 | 1.22 | 1.89% | 76 | -20.39% | — | View → |
#51 | 0.05 | 1.74% | 34.88% | 0.05 | 1.17 | 3.49% | 86 | 13.14% | 50.00% | View → |
#55 | 0.05 | 1.68% | 32.99% | 0.05 | 1.17 | 2.41% | 97 | -6.67% | 50.00% | View → |
#57 | 0.05 | 1.63% | 36.90% | 0.05 | 1.16 | 3.71% | 84 | 98.17% | 100.00% | View → |
#64 | 0.06 | 1.50% | 37.35% | 0.06 | 1.18 | 3.31% | 83 | 117.53% | 100.00% | View → |
#69 | 0.05 | 1.43% | 44.74% | 0.05 | 1.15 | 5.30% | 76 | 44.34% | 100.00% | View → |
#73 | 0.05 | 1.39% | 38.78% | 0.05 | 1.14 | 4.47% | 98 | 3.66% | 50.00% | View → |
#74 | 0.04 | 1.34% | 36.67% | 0.04 | 1.12 | 5.00% | 90 | 17.51% | 50.00% | View → |
#76 | 0.05 | 1.33% | 39.02% | 0.05 | 1.15 | 3.15% | 82 | 9.60% | 100.00% | View → |
#77 | 0.04 | 1.32% | 40.28% | 0.04 | 1.13 | 2.20% | 72 | 113.24% | 100.00% | View → |
#81 | 0.04 | 1.25% | 30.61% | 0.04 | 1.13 | 3.94% | 98 | 35.23% | 50.00% | View → |
Average Values (Baseline)
Local Minima Detection
Identify potential local minima in the optimization landscape.
Local Minima Detection
Analysis of multiple local optima found in the parameter space. This helps identify if there are multiple promising parameter regions.
Local Minima Found
31
Multiple optima detected
Global Optima
0
Avg Score
-0.02
Spread: 0.05
Avg Confidence
24.5%
Multiple Local Optima Detected
The optimization has found 31 distinct local optima. This suggests the parameter space has multiple promising regions. Consider:
- Testing each local optimum on out-of-sample data
- Comparing robustness across different market conditions
- Using ensemble methods combining multiple optima
Detected Local Minima
Local Minimum #1
Parameters:
+8 more
Local Minimum #2
Parameters:
+8 more
Local Minimum #3
Parameters:
+8 more
Local Minimum #4
Parameters:
+8 more
Local Minimum #5
Parameters:
+8 more
Local Minimum #6
Parameters:
+8 more
Local Minimum #7
Parameters:
+8 more
Local Minimum #8
Parameters:
+8 more
Local Minimum #9
Parameters:
+8 more
Local Minimum #10
Parameters:
+8 more
Local Minimum #11
Parameters:
+8 more
Local Minimum #12
Parameters:
+8 more
Local Minimum #13
Parameters:
+8 more
Local Minimum #14
Parameters:
+8 more
Local Minimum #15
Parameters:
+8 more
Local Minimum #16
Parameters:
+8 more
Local Minimum #17
Parameters:
+8 more
Local Minimum #18
Parameters:
+8 more
Local Minimum #19
Parameters:
+8 more
Local Minimum #20
Parameters:
+8 more
Local Minimum #21
Parameters:
+8 more
Local Minimum #22
Parameters:
+8 more
Local Minimum #23
Parameters:
+8 more
Local Minimum #24
Parameters:
+8 more
Local Minimum #25
Parameters:
+8 more
Local Minimum #26
Parameters:
+8 more
Local Minimum #27
Parameters:
+8 more
Local Minimum #28
Parameters:
+8 more
Local Minimum #29
Parameters:
+8 more
Local Minimum #30
Parameters:
+8 more
Local Minimum #31
Parameters:
+8 more
How to Interpret
- Local Minimum: A parameter combination that is better than all nearby combinations.
- Global Minimum: The best parameter combination found overall.
- Confidence: How certain we are that this is a true local minimum. Higher confidence means the point is significantly better than its neighbors.
- Multiple Minima: If multiple local minima are found, it suggests the parameter space has several promising regions. Consider testing each on validation data.
Side-by-Side Comparison
Compare multiple optimization results side by side.
Side-by-Side Comparison
Compare up to 5 optimization results. Differences are highlighted: green = better, red = worse.
Select Results to Compare:
| Metric | Rank #5 View Details → | Rank #9 View Details → | Rank #11 View Details → |
|---|---|---|---|
| Score | 0.14 | 0.12 -14.3% | 0.12 -14.3% |
| Total Return (%) | 4.67% | 4.23% -9.4% | 3.92% -16.1% |
| Win Rate (%) | 38.64% | 36.05% -6.7% | 44.16% +14.3% |
| Sharpe Ratio | 0.14 | 0.12 -14.3% | 0.12 -14.3% |
| Profit Factor | 1.58 | 1.49 -5.7% | 1.44 -8.9% |
| Max Drawdown (%) | 2.12% | 2.25% +6.1% | 4.19% +97.6% |
| Total Trades | 88 | 86 -2.3% | 77 -12.5% |
| orderBookScore | 30.00 | 10.00 -66.7% | 10.00 -66.7% |
| signalLifetime | 120.00 | 120.00 | 80.00 -33.3% |
| volumeBuyScore | 10.00 | 25.00 +150.0% | 40.00 +300.0% |
| stopLossPercent | 4.00 | 4.00 | 8.00 +100.0% |
| volumeSellScore | 32.00 | 16.00 -50.0% | 20.00 -37.5% |
| volumeThreshold | 1.70 | 2.50 +47.1% | 1.70 |
| analysisInterval | 50.00 | 20.00 -60.0% | 20.00 -60.0% |
| institutionalScore | 12.00 | 8.00 -33.3% | 28.00 +133.3% |
| orderBookThreshold | 0.45 | 0.45 | 0.45 |
| confidenceThreshold | 55.00 | 25.00 -54.5% | 45.00 -18.2% |
| largeOrdersThreshold | 240.00 | 240.00 | 240.00 |
Legend
Parameter Relationships & Constraints
Analyze relationships and constraints between optimization parameters.
Parameter Relationships & Constraints
Analysis of correlations between parameters and identification of logical constraints that may exist.
Total Relationships
55
1 significant
Constraints Identified
0
Strong Relationships
0
Significant Parameter Relationships
institutionalScore and confidenceThreshold show moderate positive correlation.
Correlation Matrix
| Parameter | orderBookScore | signalLifetime | volumeBuyScore | stopLossPercent | volumeSellScore | volumeThreshold | analysisInterval | institutionalScore | orderBookThreshold | confidenceThreshold | largeOrdersThreshold |
|---|---|---|---|---|---|---|---|---|---|---|---|
| orderBookScore | 1.00 | 0.09 | -0.08 | -0.00 | 0.02 | 0.04 | -0.01 | -0.03 | -0.06 | 0.21 | -0.03 |
| signalLifetime | 0.09 | 1.00 | -0.09 | 0.15 | 0.03 | 0.05 | 0.05 | -0.04 | -0.10 | 0.03 | -0.00 |
| volumeBuyScore | -0.08 | -0.09 | 1.00 | -0.12 | -0.01 | -0.07 | -0.11 | -0.07 | 0.03 | -0.03 | -0.09 |
| stopLossPercent | -0.00 | 0.15 | -0.12 | 1.00 | 0.10 | 0.03 | 0.10 | -0.05 | -0.07 | 0.20 | 0.02 |
| volumeSellScore | 0.02 | 0.03 | -0.01 | 0.10 | 1.00 | 0.03 | 0.01 | -0.07 | 0.02 | -0.05 | 0.05 |
| volumeThreshold | 0.04 | 0.05 | -0.07 | 0.03 | 0.03 | 1.00 | 0.07 | 0.02 | -0.04 | -0.04 | 0.08 |
| analysisInterval | -0.01 | 0.05 | -0.11 | 0.10 | 0.01 | 0.07 | 1.00 | 0.04 | -0.06 | 0.05 | 0.13 |
| institutionalScore | -0.03 | -0.04 | -0.07 | -0.05 | -0.07 | 0.02 | 0.04 | 1.00 | 0.02 | 0.48 | 0.06 |
| orderBookThreshold | -0.06 | -0.10 | 0.03 | -0.07 | 0.02 | -0.04 | -0.06 | 0.02 | 1.00 | -0.04 | 0.01 |
| confidenceThreshold | 0.21 | 0.03 | -0.03 | 0.20 | -0.05 | -0.04 | 0.05 | 0.48 | -0.04 | 1.00 | 0.04 |
| largeOrdersThreshold | -0.03 | -0.00 | -0.09 | 0.02 | 0.05 | 0.08 | 0.13 | 0.06 | 0.01 | 0.04 | 1.00 |
Recommendations
- 1 significant parameter relationships detected. Consider these when optimizing.
Top Results
Best performing optimization results for this strategy and period.
Top Results
Compare top optimization results with filtering and sorting capabilities.
Filters
| Rank | Parameters | |||||||
|---|---|---|---|---|---|---|---|---|
#5 | 0.14 | 4.67% | 38.6% | 0.14 | 2.12% | 88 | orderBookScore: 30, signalLifetime: 120, volumeBuyScore: 10... | |
#9 | 0.12 | 4.23% | 36.0% | 0.12 | 2.25% | 86 | orderBookScore: 10, signalLifetime: 120, volumeBuyScore: 25... | |
#11 | 0.12 | 3.92% | 44.2% | 0.12 | 4.19% | 77 | orderBookScore: 10, signalLifetime: 80, volumeBuyScore: 40... | |
#21 | 0.10 | 3.05% | 40.7% | 0.10 | 1.72% | 86 | orderBookScore: 20, signalLifetime: 100, volumeBuyScore: 10... | |
#16 | 0.10 | 3.15% | 46.0% | 0.10 | 2.70% | 74 | orderBookScore: 15, signalLifetime: 80, volumeBuyScore: 10... | |
#18 | 0.09 | 3.13% | 41.9% | 0.09 | 2.90% | 86 | orderBookScore: 40, signalLifetime: 60, volumeBuyScore: 15... | |
#39 | 0.08 | 2.28% | 34.6% | 0.08 | 2.23% | 78 | orderBookScore: 25, signalLifetime: 100, volumeBuyScore: 10... | |
#28 | 0.07 | 2.71% | 32.6% | 0.07 | 3.19% | 89 | orderBookScore: 25, signalLifetime: 100, volumeBuyScore: 10... | |
#48 | 0.06 | 1.91% | 39.5% | 0.06 | 1.89% | 76 | orderBookScore: 30, signalLifetime: 120, volumeBuyScore: 35... | |
#64 | 0.06 | 1.50% | 37.4% | 0.06 | 3.31% | 83 | orderBookScore: 40, signalLifetime: 40, volumeBuyScore: 30... |
Parameter Sensitivity Analysis
Analyze how each parameter affects the optimization Score. Higher importance indicates stronger correlation with Score.
Detailed Analysis
| Parameter | Importance | Correlation | Trend | Impact | Avg Score (Low) | Avg Score (High) |
|---|---|---|---|---|---|---|
| Confidence Threshold | 1.000 | 0.309 | ↑ | medium | -0.06 | -0.04 |
| Order Book Score | 0.383 | -0.118 | ↓ | low | -0.04 | -0.06 |
| Stop Loss Percent | 0.324 | 0.100 | ↑ | low | -0.05 | -0.05 |
| Institutional Score | 0.287 | -0.089 | — | low | -0.05 | -0.06 |
| Large Orders Threshold | 0.254 | 0.078 | — | low | -0.05 | -0.06 |
| Volume Sell Score | 0.182 | -0.056 | — | low | -0.04 | -0.06 |
| Volume Buy Score | 0.146 | 0.045 | — | low | -0.05 | -0.05 |
| Volume Threshold | 0.094 | 0.029 | — | low | -0.05 | -0.05 |
| Analysis Interval | 0.070 | 0.022 | — | low | -0.04 | -0.06 |
| Signal Lifetime | 0.030 | 0.009 | — | low | -0.05 | -0.05 |
| Order Book Threshold | 0.007 | 0.002 | — | low | -0.04 | -0.06 |
Parameter Visualization
Interactive visualizations of parameter space including stability zones, 3D plots, contour maps, clustering, correlation analysis, and parallel coordinates.
Avg Stability
99.9%
Max Stability
99.9%
Min Stability
99.8%
Stable Zones
6
Unstable Zones
0
Total Parameters
11
Data Points
500
Possible Pairs
55
Total Parameters
11
Data Points
500
Possible Pairs
55
Optimal Clusters
3
Data Points
500
Parameters
11
Total Parameters
11
High Correlations
0
|r| > 0.7
Avg |Correlation|
0.066
Parameter Pairs
55
Total Parameters
11
Displayed Results
100
of 500
Score Range
0.21
-0.07 - 0.14
Dimensions
12
params + score
Pareto Front
Optimal risk/return combinations. Pareto-optimal points represent solutions that cannot be improved in return without increasing risk, or vice versa.
Pareto Optimal
2
0.4% of total
Dominated
498
Avg Return (Pareto)
3.86%
Avg Risk (Pareto)
1.92%
Walk-Forward Analysis
Validation windows for ETHUSDC to test robustness on unseen market data.
Walk-Forward Analysis
Validation windows for ETHUSDC to test robustness on unseen market data.
| Period | IS Return | OOS Return | IS Sharpe | OOS Sharpe | Trades |
|---|---|---|---|---|---|
Period 1 2024-11-06T00:00:00.000Z → 2025-05-06T00:00:00.000Z | -2.80% | 0.52% | — | — | — |
Period 2 2025-03-08T00:00:00.000Z → 2025-09-05T00:00:00.000Z | -0.69% | 1.10% | — | — | — |
IS vs OOS Performance Gap
Comparison of in-sample (optimization) and out-of-sample (validation) performance metrics. Large gaps indicate potential overfitting.
Return Gap
-146.6%
IS: -1.74% | OOS: 0.81%
Sharpe Gap
-193.3%
IS: -0.15 | OOS: 0.14
Walk-Forward Efficiency Distribution
Distribution of WFE (Walk-Forward Efficiency) across all validation windows. Higher WFE indicates better robustness.
Avg WFE
89.0%
Min WFE
18.6%
Max WFE
159.4%
Total Periods
2
Excellent (>75%)
1
Good (50-75%)
0
Warning (25-50%)
0
Poor (<25%)
1
Consistency Score Breakdown
Detailed breakdown of consistency across different components.
Overall Consistency
92.8%
Profitability
100.0%
2/2 periods
Return Consistency
64.2%
Mean Return
0.81%
Std Dev: 0.29%
Backtest Breakdown
Detailed backtest metrics, configuration and trade logs.
Backtest Overview
Backtest Configuration
Equity Curve
Equity Points (last 100)
| Timestamp | Balance | Drawdown |
|---|---|---|
| 06/11/2025, 00:00:00 | 9772.62 | 3.49% |
| 05/11/2025, 00:00:00 | 9772.15 | 3.50% |
| 04/11/2025, 00:00:00 | 9792.71 | 3.29% |
| 03/11/2025, 00:00:00 | 9781.81 | 3.40% |
| 02/11/2025, 00:00:00 | 9820.26 | 3.02% |
| 01/11/2025, 00:00:00 | 9816.03 | 3.06% |
| 31/10/2025, 00:00:00 | 9813.20 | 3.09% |
| 30/10/2025, 00:00:00 | 9818.18 | 3.04% |
| 29/10/2025, 00:00:00 | 9806.46 | 3.16% |
| 28/10/2025, 00:00:00 | 9797.43 | 3.25% |
| 27/10/2025, 00:00:00 | 9781.36 | 3.41% |
| 26/10/2025, 00:00:00 | 9786.22 | 3.36% |
| 25/10/2025, 00:00:00 | 9760.38 | 3.61% |
| 24/10/2025, 00:00:00 | 9758.02 | 3.64% |
| 23/10/2025, 00:00:00 | 9748.72 | 3.73% |
| 22/10/2025, 00:00:00 | 9755.31 | 3.66% |
| 21/10/2025, 00:00:00 | 9747.14 | 3.74% |
| 20/10/2025, 00:00:00 | 9760.38 | 3.61% |
| 19/10/2025, 00:00:00 | 9760.81 | 3.61% |
| 18/10/2025, 00:00:00 | 9749.56 | 3.72% |
| 17/10/2025, 00:00:00 | 9756.57 | 3.65% |
| 16/10/2025, 00:00:00 | 9748.97 | 3.73% |
| 15/10/2025, 00:00:00 | 9737.70 | 3.84% |
| 14/10/2025, 00:00:00 | 9744.08 | 3.77% |
| 13/10/2025, 00:00:00 | 9757.68 | 3.64% |
| 12/10/2025, 00:00:00 | 9737.03 | 3.84% |
| 11/10/2025, 00:00:00 | 9788.64 | 3.33% |
| 10/10/2025, 00:00:00 | 9777.75 | 3.44% |
| 09/10/2025, 00:00:00 | 9780.87 | 3.41% |
| 08/10/2025, 00:00:00 | 9798.33 | 3.24% |
| 07/10/2025, 00:00:00 | 9807.34 | 3.15% |
| 06/10/2025, 00:00:00 | 9833.01 | 2.90% |
| 05/10/2025, 00:00:00 | 9814.96 | 3.07% |
| 04/10/2025, 00:00:00 | 9818.36 | 3.04% |
| 03/10/2025, 00:00:00 | 9821.35 | 3.01% |
| 02/10/2025, 00:00:00 | 9818.16 | 3.04% |
| 01/10/2025, 00:00:00 | 9814.10 | 3.08% |
| 30/09/2025, 00:00:00 | 9838.84 | 2.84% |
| 29/09/2025, 00:00:00 | 9847.36 | 2.75% |
| 28/09/2025, 00:00:00 | 9839.05 | 2.84% |
| 27/09/2025, 00:00:00 | 9854.62 | 2.68% |
| 26/09/2025, 00:00:00 | 9856.74 | 2.66% |
| 25/09/2025, 00:00:00 | 9874.11 | 2.49% |
| 24/09/2025, 00:00:00 | 9843.56 | 2.79% |
| 23/09/2025, 00:00:00 | 9842.36 | 2.80% |
| 22/09/2025, 00:00:00 | 9838.28 | 2.84% |
| 21/09/2025, 00:00:00 | 9811.41 | 3.11% |
| 20/09/2025, 00:00:00 | 9807.50 | 3.15% |
| 19/09/2025, 00:00:00 | 9809.24 | 3.13% |
| 18/09/2025, 00:00:00 | 9821.87 | 3.01% |
| 17/09/2025, 00:00:00 | 9822.60 | 3.00% |
| 16/09/2025, 00:00:00 | 9831.94 | 2.91% |
| 15/09/2025, 00:00:00 | 9829.65 | 2.93% |
| 14/09/2025, 00:00:00 | 9821.14 | 3.01% |
| 13/09/2025, 00:00:00 | 9814.99 | 3.07% |
| 12/09/2025, 00:00:00 | 9820.22 | 3.02% |
| 11/09/2025, 00:00:00 | 9791.32 | 3.31% |
| 10/09/2025, 00:00:00 | 9778.82 | 3.43% |
| 09/09/2025, 00:00:00 | 9774.25 | 3.48% |
| 08/09/2025, 00:00:00 | 9773.79 | 3.48% |
| 07/09/2025, 00:00:00 | 9774.20 | 3.48% |
| 06/09/2025, 00:00:00 | 9777.81 | 3.44% |
| 05/09/2025, 00:00:00 | 9796.81 | 3.25% |
| 04/09/2025, 00:00:00 | 9797.91 | 3.24% |
| 03/09/2025, 00:00:00 | 9802.45 | 3.20% |
| 02/09/2025, 00:00:00 | 9816.71 | 3.06% |
| 01/09/2025, 00:00:00 | 9818.56 | 3.04% |
| 31/08/2025, 00:00:00 | 9827.26 | 2.95% |
| 30/08/2025, 00:00:00 | 9825.74 | 2.97% |
| 29/08/2025, 00:00:00 | 9827.25 | 2.95% |
| 28/08/2025, 00:00:00 | 9810.82 | 3.12% |
| 27/08/2025, 00:00:00 | 9811.67 | 3.11% |
| 26/08/2025, 00:00:00 | 9822.24 | 3.00% |
| 25/08/2025, 00:00:00 | 9845.27 | 2.77% |
| 24/08/2025, 00:00:00 | 9803.96 | 3.18% |
| 23/08/2025, 00:00:00 | 9804.28 | 3.18% |
| 22/08/2025, 00:00:00 | 9754.02 | 3.68% |
| 21/08/2025, 00:00:00 | 9824.44 | 2.98% |
| 20/08/2025, 00:00:00 | 9813.04 | 3.09% |
| 19/08/2025, 00:00:00 | 9844.64 | 2.78% |
| 18/08/2025, 00:00:00 | 9847.30 | 2.75% |
| 17/08/2025, 00:00:00 | 9865.34 | 2.58% |
| 16/08/2025, 00:00:00 | 9870.93 | 2.52% |
| 15/08/2025, 00:00:00 | 9868.98 | 2.54% |
| 14/08/2025, 00:00:00 | 9868.25 | 2.55% |
| 13/08/2025, 00:00:00 | 9889.23 | 2.34% |
| 12/08/2025, 00:00:00 | 9866.82 | 2.56% |
| 11/08/2025, 00:00:00 | 9909.98 | 2.14% |
| 10/08/2025, 00:00:00 | 9913.68 | 2.10% |
| 09/08/2025, 00:00:00 | 9915.08 | 2.09% |
| 08/08/2025, 00:00:00 | 9881.50 | 2.42% |
| 07/08/2025, 00:00:00 | 9868.24 | 2.55% |
| 06/08/2025, 00:00:00 | 9838.32 | 2.84% |
| 05/08/2025, 00:00:00 | 9848.58 | 2.74% |
| 04/08/2025, 00:00:00 | 9863.85 | 2.59% |
| 03/08/2025, 00:00:00 | 9832.96 | 2.90% |
| 02/08/2025, 00:00:00 | 9846.78 | 2.76% |
| 01/08/2025, 00:00:00 | 9834.38 | 2.88% |
| 31/07/2025, 00:00:00 | 9806.77 | 3.15% |
| 30/07/2025, 00:00:00 | 9821.74 | 3.01% |
Trades
| Time | Side | Price | Quantity | PnL | PnL % | Reason |
|---|---|---|---|---|---|---|
| 06/11/2024, 00:00:00 | BUY | 2724.4000 | 0.1835 | 0.00 | 0.00% | Open long position |
| 12/11/2024, 00:00:00 | SELL | 3247.5800 | 0.1835 | 95.42 | 19.08% | Close long position |
| 12/11/2024, 00:00:00 | SELL | 3247.5800 | 0.1540 | 0.00 | 0.00% | Open short position |
| 15/11/2024, 00:00:00 | BUY | 3090.6400 | 0.1540 | 23.69 | 4.74% | Close short position |
| 15/11/2024, 00:00:00 | BUY | 3090.6400 | 0.1633 | 0.00 | 0.00% | Open long position |
| 17/11/2024, 00:00:00 | SELL | 3076.9000 | 0.1633 | -2.75 | -0.54% | Close long position |
| 17/11/2024, 00:00:00 | SELL | 3076.9000 | 0.1644 | 0.00 | 0.00% | Open short position |
| 18/11/2024, 00:00:00 | BUY | 3199.9760 | 0.1644 | -20.76 | -4.10% | Stop loss triggered (4%) |
| 19/11/2024, 00:00:00 | SELL | 3111.6100 | 0.1622 | 0.00 | 0.00% | Open short position |
| 21/11/2024, 00:00:00 | BUY | 3236.0744 | 0.1622 | -20.72 | -4.10% | Stop loss triggered (4%) |
| 22/11/2024, 00:00:00 | SELL | 3332.1500 | 0.1512 | 0.00 | 0.00% | Open short position |
| 23/11/2024, 00:00:00 | BUY | 3465.4360 | 0.1512 | -20.67 | -4.10% | Stop loss triggered (4%) |
| 24/11/2024, 00:00:00 | SELL | 3365.5600 | 0.1494 | 0.00 | 0.00% | Open short position |
| 25/11/2024, 00:00:00 | BUY | 3500.1824 | 0.1494 | -20.63 | -4.10% | Stop loss triggered (4%) |
| 26/11/2024, 00:00:00 | SELL | 3323.2300 | 0.1510 | 0.00 | 0.00% | Open short position |
| 27/11/2024, 00:00:00 | BUY | 3456.1592 | 0.1510 | -20.59 | -4.10% | Stop loss triggered (4%) |
| 28/11/2024, 00:00:00 | SELL | 3579.4100 | 0.1399 | 0.00 | 0.00% | Open short position |
| 29/11/2024, 00:00:00 | BUY | 3593.5900 | 0.1399 | -2.49 | -0.50% | Close short position |
| 29/11/2024, 00:00:00 | BUY | 3593.5900 | 0.1393 | 0.00 | 0.00% | Open long position |
| 02/12/2024, 00:00:00 | SELL | 3644.6600 | 0.1393 | 6.61 | 1.32% | Close long position |
| 02/12/2024, 00:00:00 | SELL | 3644.6600 | 0.1373 | 0.00 | 0.00% | Open short position |
| 04/12/2024, 00:00:00 | BUY | 3790.4464 | 0.1373 | -20.54 | -4.10% | Stop loss triggered (4%) |
| 05/12/2024, 00:00:00 | SELL | 3789.4500 | 0.1319 | 0.00 | 0.00% | Open short position |
| 06/12/2024, 00:00:00 | BUY | 3941.0280 | 0.1319 | -20.51 | -4.10% | Stop loss triggered (4%) |
| 09/12/2024, 00:00:00 | SELL | 3713.6000 | 0.1343 | 0.00 | 0.00% | Open short position |
| 11/12/2024, 00:00:00 | BUY | 3834.9600 | 0.1343 | -16.82 | -3.37% | Close short position |
| 11/12/2024, 00:00:00 | BUY | 3834.9600 | 0.1301 | 0.00 | 0.00% | Open long position |
| 14/12/2024, 00:00:00 | SELL | 3869.6300 | 0.1301 | 4.01 | 0.80% | Close long position |
| 14/12/2024, 00:00:00 | SELL | 3869.6300 | 0.1287 | 0.00 | 0.00% | Open short position |
| 15/12/2024, 00:00:00 | BUY | 3958.4500 | 0.1287 | -11.94 | -2.40% | Close short position |
| 15/12/2024, 00:00:00 | BUY | 3958.4500 | 0.1258 | 0.00 | 0.00% | Open long position |
| 17/12/2024, 00:00:00 | SELL | 3893.0300 | 0.1258 | -8.72 | -1.75% | Close long position |
| 17/12/2024, 00:00:00 | SELL | 3893.0300 | 0.1278 | 0.00 | 0.00% | Open short position |
| 20/12/2024, 00:00:00 | BUY | 3470.7800 | 0.1278 | 53.52 | 10.76% | Close short position |
| 20/12/2024, 00:00:00 | BUY | 3470.7800 | 0.1432 | 0.00 | 0.00% | Open long position |
| 21/12/2024, 00:00:00 | SELL | 3331.9488 | 0.1432 | -20.36 | -4.10% | Stop loss triggered (4%) |
| 22/12/2024, 00:00:00 | SELL | 3279.0200 | 0.1521 | 0.00 | 0.00% | Open short position |
| 23/12/2024, 00:00:00 | BUY | 3410.1808 | 0.1521 | -20.47 | -4.10% | Stop loss triggered (4%) |
| 24/12/2024, 00:00:00 | BUY | 3490.7400 | 0.1426 | 0.00 | 0.00% | Open long position |
| 26/12/2024, 00:00:00 | SELL | 3351.1104 | 0.1426 | -20.39 | -4.10% | Stop loss triggered (4%) |
| 28/12/2024, 00:00:00 | BUY | 3397.8200 | 0.1462 | 0.00 | 0.00% | Open long position |
| 29/12/2024, 00:00:00 | SELL | 3350.1500 | 0.1462 | -7.46 | -1.50% | Close long position |
| 29/12/2024, 00:00:00 | SELL | 3350.1500 | 0.1483 | 0.00 | 0.00% | Open short position |
| 01/01/2025, 00:00:00 | BUY | 3353.2300 | 0.1483 | -0.95 | -0.19% | Close short position |
| 01/01/2025, 00:00:00 | BUY | 3353.2300 | 0.1480 | 0.00 | 0.00% | Open long position |
| 05/01/2025, 00:00:00 | SELL | 3635.4900 | 0.1480 | 41.24 | 8.31% | Close long position |
| 05/01/2025, 00:00:00 | SELL | 3635.4900 | 0.1365 | 0.00 | 0.00% | Open short position |
| 06/01/2025, 00:00:00 | BUY | 3688.8000 | 0.1365 | -7.78 | -1.57% | Close short position |
| 06/01/2025, 00:00:00 | BUY | 3688.8000 | 0.1351 | 0.00 | 0.00% | Open long position |
| 07/01/2025, 00:00:00 | SELL | 3541.2480 | 0.1351 | -20.41 | -4.10% | Stop loss triggered (4%) |
| 08/01/2025, 00:00:00 | SELL | 3326.4000 | 0.1494 | 0.00 | 0.00% | Open short position |
| 10/01/2025, 00:00:00 | BUY | 3266.2200 | 0.1494 | 8.50 | 1.71% | Close short position |
| 10/01/2025, 00:00:00 | BUY | 3266.2200 | 0.1522 | 0.00 | 0.00% | Open long position |
| 12/01/2025, 00:00:00 | SELL | 3266.1900 | 0.1522 | -0.50 | -0.10% | Close long position |
| 12/01/2025, 00:00:00 | SELL | 3266.1900 | 0.1523 | 0.00 | 0.00% | Open short position |
| 14/01/2025, 00:00:00 | BUY | 3224.4900 | 0.1523 | 5.86 | 1.18% | Close short position |
| 14/01/2025, 00:00:00 | BUY | 3224.4900 | 0.1542 | 0.00 | 0.00% | Open long position |
| 16/01/2025, 00:00:00 | SELL | 3307.9100 | 0.1542 | 12.36 | 2.48% | Close long position |
| 16/01/2025, 00:00:00 | SELL | 3307.9100 | 0.1504 | 0.00 | 0.00% | Open short position |
| 17/01/2025, 00:00:00 | BUY | 3440.2264 | 0.1504 | -20.42 | -4.10% | Stop loss triggered (4%) |
| 18/01/2025, 00:00:00 | SELL | 3304.1700 | 0.1505 | 0.00 | 0.00% | Open short position |
| 19/01/2025, 00:00:00 | BUY | 3436.3368 | 0.1505 | -20.41 | -4.10% | Stop loss triggered (4%) |
| 20/01/2025, 00:00:00 | BUY | 3280.4900 | 0.1513 | 0.00 | 0.00% | Open long position |
| 22/01/2025, 00:00:00 | SELL | 3241.4100 | 0.1513 | -6.40 | -1.29% | Close long position |
| 22/01/2025, 00:00:00 | SELL | 3241.4100 | 0.1531 | 0.00 | 0.00% | Open short position |
| 23/01/2025, 00:00:00 | BUY | 3339.0800 | 0.1531 | -15.46 | -3.12% | Close short position |
| 23/01/2025, 00:00:00 | BUY | 3339.0800 | 0.1485 | 0.00 | 0.00% | Open long position |
| 24/01/2025, 00:00:00 | SELL | 3309.9900 | 0.1485 | -4.81 | -0.97% | Close long position |
| 24/01/2025, 00:00:00 | SELL | 3309.9900 | 0.1496 | 0.00 | 0.00% | Open short position |
| 29/01/2025, 00:00:00 | BUY | 3114.0700 | 0.1496 | 28.84 | 5.82% | Close short position |
| 29/01/2025, 00:00:00 | BUY | 3114.0700 | 0.1589 | 0.00 | 0.00% | Open long position |
| 01/02/2025, 00:00:00 | SELL | 3116.4100 | 0.1589 | -0.12 | -0.02% | Close long position |
| 01/02/2025, 00:00:00 | SELL | 3116.4100 | 0.1593 | 0.00 | 0.00% | Open short position |
| 03/02/2025, 00:00:00 | BUY | 2882.6500 | 0.1593 | 36.77 | 7.41% | Close short position |
| 03/02/2025, 00:00:00 | BUY | 2882.6500 | 0.1722 | 0.00 | 0.00% | Open long position |
| 04/02/2025, 00:00:00 | SELL | 2767.3440 | 0.1722 | -20.33 | -4.10% | Stop loss triggered (4%) |
| 05/02/2025, 00:00:00 | BUY | 2788.3200 | 0.1783 | 0.00 | 0.00% | Open long position |
| 06/02/2025, 00:00:00 | SELL | 2676.7872 | 0.1783 | -20.36 | -4.10% | Stop loss triggered (4%) |
| 07/02/2025, 00:00:00 | SELL | 2622.7000 | 0.1892 | 0.00 | 0.00% | Open short position |
| 08/02/2025, 00:00:00 | BUY | 2633.2700 | 0.1892 | -2.50 | -0.50% | Close short position |
| 08/02/2025, 00:00:00 | BUY | 2633.2700 | 0.1884 | 0.00 | 0.00% | Open long position |
| 09/02/2025, 00:00:00 | SELL | 2527.9392 | 0.1884 | -20.32 | -4.10% | Stop loss triggered (4%) |
| 10/02/2025, 00:00:00 | BUY | 2661.5100 | 0.1860 | 0.00 | 0.00% | Open long position |
| 11/02/2025, 00:00:00 | SELL | 2602.4000 | 0.1860 | -11.48 | -2.32% | Close long position |
| 11/02/2025, 00:00:00 | SELL | 2602.4000 | 0.1902 | 0.00 | 0.00% | Open short position |
| 12/02/2025, 00:00:00 | BUY | 2706.4960 | 0.1902 | -20.32 | -4.10% | Stop loss triggered (4%) |
| 13/02/2025, 00:00:00 | SELL | 2676.0900 | 0.1844 | 0.00 | 0.00% | Open short position |
| 14/02/2025, 00:00:00 | BUY | 2783.1336 | 0.1844 | -20.25 | -4.10% | Stop loss triggered (4%) |
| 15/02/2025, 00:00:00 | SELL | 2693.7300 | 0.1828 | 0.00 | 0.00% | Open short position |
| 17/02/2025, 00:00:00 | BUY | 2801.4792 | 0.1828 | -20.21 | -4.10% | Stop loss triggered (4%) |
| 18/02/2025, 00:00:00 | SELL | 2670.9000 | 0.1840 | 0.00 | 0.00% | Open short position |
| 19/02/2025, 00:00:00 | BUY | 2715.5900 | 0.1840 | -8.72 | -1.77% | Close short position |
| 19/02/2025, 00:00:00 | BUY | 2715.5900 | 0.1810 | 0.00 | 0.00% | Open long position |
| 21/02/2025, 00:00:00 | SELL | 2661.7900 | 0.1810 | -10.22 | -2.08% | Close long position |
| 21/02/2025, 00:00:00 | SELL | 2661.7900 | 0.1844 | 0.00 | 0.00% | Open short position |
| 22/02/2025, 00:00:00 | BUY | 2768.2616 | 0.1844 | -20.15 | -4.10% | Stop loss triggered (4%) |
| 23/02/2025, 00:00:00 | BUY | 2819.9100 | 0.1736 | 0.00 | 0.00% | Open long position |
| 24/02/2025, 00:00:00 | SELL | 2707.1136 | 0.1736 | -20.05 | -4.10% | Stop loss triggered (4%) |
| 25/02/2025, 00:00:00 | SELL | 2492.7500 | 0.1959 | 0.00 | 0.00% | Open short position |
| 02/03/2025, 00:00:00 | BUY | 2518.6800 | 0.1959 | -5.57 | -1.14% | Close short position |
Raw Backtest Payload
{
"winRate": 32.03,
"bestTrade": 125.67,
"worstTrade": -20.76,
"maxDrawdown": 4.86,
"sharpeRatio": -0.06,
"totalReturn": -2.27,
"totalTrades": 153,
"failedTrades": 104,
"profitFactor": 0.83,
"successfulTrades": 49,
"averageTradeReturn": -1.49
}[
{
"id": "trade_0",
"pnl": 0,
"side": "BUY",
"price": 2724.4,
"reason": "Open long position",
"symbol": "ETHUSDC",
"quantity": 0.18352664806929966,
"timestamp": 1730851200000,
"confidence": 0.8,
"pnlPercent": 0
},
{
"id": "trade_1",
"pnl": 95.42145426515927,
"side": "SELL",
"price": 3247.58,
"reason": "Close long position",
"symbol": "ETHUSDC",
"quantity": 0.18352664806929966,
"timestamp": 1731369600000,
"confidence": 0.8,
"pnlPercent": 19.084290853031856
},
{
"id": "trade_2",
"pnl": 0,
"side": "SELL",
"price": 3247.58,
"reason": "Open short position",
"symbol": "ETHUSDC",
"quantity": 0.15396079542305346,
"timestamp": 1731369600000,
"confidence": 0.8,
"pnlPercent": 0
},
{
"id": "trade_3",
"pnl": 23.686769840927713,
"side": "BUY",
"price": 3090.64,
"reason": "Close short position",
"symbol": "ETHUSDC",
"quantity": 0.15396079542305346,
"timestamp": 1731628800000,
"confidence": 0.8,
"pnlPercent": 4.737353968185543
},
{
"id": "trade_4",
"pnl": 0,
"side": "BUY",
"price": 3090.64,
"reason": "Open long position",
"symbol": "ETHUSDC",
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]{
"symbol": "ETHUSDC",
"endDate": "2025-11-06",
"startDate": "2024-11-06",
"iterations": 5,
"strategyName": "smart_money",
"executionMode": "gpu",
"initialBalance": 10000,
"strategyParameters": {
"orderBookScore": 35,
"signalLifetime": 80,
"volumeBuyScore": 40,
"stopLossPercent": 4,
"volumeSellScore": 20,
"volumeThreshold": 2.5,
"analysisInterval": 20,
"institutionalScore": 8,
"orderBookThreshold": 0.45,
"confidenceThreshold": 25,
"largeOrdersThreshold": 60
}
}Export Full Optimization Log
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- Main optimization result with all metrics
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- Sensitivity analysis (500 data points)
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- Score distribution (500 scores)
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- All parameters and configuration
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Deploy to Demo/Live Trading
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Demo Trading
Deployment Summary
Strategy
smart_money
Symbol
ETHUSDC
Score
-0.0600
Total Return
-2.27%
Parameters
11 parameters
WFE
Parameters to Deploy
Live Trading
Warning: Low WFE
Deployment Summary
Strategy
smart_money
Symbol
ETHUSDC
Score
-0.0600
Total Return
-2.27%
Parameters
11 parameters
WFE
Parameters to Deploy
Best Practices Guide
Learn best practices for optimization and backtesting.
Best Practices Guide
Key principles for successful strategy optimization.
Avoid Overfitting
High in-sample returns with low out-of-sample returns (low WFE) indicate overfitting. Prefer strategies with WFE > 50%.
Consider Multiple Metrics
Don't optimize only for total return. Consider Sharpe Ratio, Max Drawdown, and Win Rate together.
Test on Multiple Time Periods
Use Walk-Forward Analysis to test strategy robustness across different market conditions.
Ensure Statistical Significance
Require at least 50-100 trades for reliable results. Fewer trades may not be statistically significant.
Manage Risk
Keep Max Drawdown below 30% and use appropriate position sizing. High returns with high drawdowns are risky.
Review Parameter Stability
Check Parameter Stability Zones to ensure optimal parameters are in stable regions, not on peaks.
Consider Market Regimes
Strategy performance may vary in bull, bear, and sideways markets. Test across different conditions.
Start Conservative
Begin with conservative parameters and gradually optimize. Aggressive parameters may work in-sample but fail out-of-sample.
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