Anomaly Detection Alerts
Automated detection of suspicious patterns and potential issues in optimization results.
High Severity
1
Medium Severity
0
Low Severity
0
Potential Overfitting Detected
HIGH
WFE is 16.9%, indicating poor out-of-sample performance. The strategy may be overfitted to historical data.
WFE: 16.87
Recommendations
- Review high-severity anomalies before deploying to live trading.
- 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.
80%
Probability
CRITICAL
High Overfitting Risk Detected
This optimization result shows significant signs of overfitting. The strategy may not perform well on new, unseen data. Consider simplifying parameters, increasing sample size, or using more robust optimization methods.
1
Critical Flags
0
Warnings
5
Passed Checks
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 | -116.9% (IS: -2.49%, OOS: 0.42%) | Passed | Large gap between in-sample and out-of-sample returns indicates overfitting. | |
| Walk-Forward Efficiency (WFE) | 16.9% | Failed | Low WFE indicates poor out-of-sample performance relative to in-sample. | |
| Consistency (Profitability Rate) | 50.0% | Passed | Low consistency means only few validation periods were profitable. | |
| Sharpe Ratio Degradation | IS: -0.13, OOS: 0.05 (Δ-0.18) | Passed | Large drop in Sharpe ratio from IS to OOS indicates overfitting. | |
| Win Rate Degradation | -11.0% | Passed | Large drop in win rate from IS to OOS suggests overfitting. |
Recommendations
- Consider simplifying the strategy or reducing parameter complexity
- Increase the sample size for optimization
- Use more robust optimization methods (e.g., Bayesian)
- Test on multiple market regimes
Performance Snapshot
Key metrics derived from the backtest and optimisation results.
Total Return
-2.57%
Win Rate
+34.32%
Sharpe Ratio
-0.05
Profit Factor
0.84
Score
-0.05
Tested at
04/11/2025, 22:00:32
Submitted by
cmhhxpgj20000oa2irihw438f
Result ID
5af1ee03-f2ed-41ef-ac7b-006b97c95106
Strategy Parameters
Final parameter set used to generate the optimisation result.
orderBookScore
15signalLifetime
100volumeBuyScore
25stopLossPercent
10volumeSellScore
20volumeThreshold
1.5analysisInterval
10institutionalScore
36orderBookThreshold
0.25confidenceThreshold
55largeOrdersThreshold
180Analysis Coverage
Which advanced analysis pipelines were executed for this result.
Walk-Forward: enabled
Monte Carlo: disabled
Market Regimes: disabled
Multi-Timeframe: disabled
Optimisation Setup
Core configuration of the optimisation and the resulting backtest statistics.
Algorithm Configuration
Strategy Namebollinger_bands
Iterations5
Initial Balance10000
Rank#993
Score-0.0500
Performance Metrics
Max Drawdown7.13
Profit Factor0.84
Total Trades169.00
Win Rate34.32
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).
Exploration Ratio↑
84.6%
Exploration Dominant
Total Iterations
500
Best Score
0.20
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
95.8%
Statistical Power
99.0%
Adequate
Score Mean
-0.04
±0.00 (SE)
Confidence Intervals
Score (95% CI)
-0.04 - -0.04
Mean: -0.04•Std Dev: 0.03•Standard Error: 0.00
Score (99% CI)
-0.04 - -0.04
Metric Confidence Intervals (95% CI)
Total Return:
-2.22% - -1.98%
Mean: -2.10%, Std Dev: 1.32
Win Rate:
34.05% - 34.45%
Mean: 34.25%, Std Dev: 2.32
Sharpe Ratio:
-0.04 - -0.04
Mean: -0.04, 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
62.3%
Avg Sensitivity
0.08
Score change per unit
Parameters Analyzed
11
Most Stable
stopLossPercent
Parameter Stability Details
stopLossPercent
99%
Sensitivity:0.00
Variance:0.00
Optimal Range:
10.00 - 10.00
orderBookScore
59%
Sensitivity:0.01
Variance:0.00
Optimal Range:
25.00 - 25.00
signalLifetime
59%
Sensitivity:0.00
Variance:0.00
Optimal Range:
40.00 - 40.00
volumeBuyScore
59%
Sensitivity:0.01
Variance:0.00
Optimal Range:
30.00 - 30.00
volumeSellScore
59%
Sensitivity:0.01
Variance:0.00
Optimal Range:
12.00 - 12.00
volumeThreshold
59%
Sensitivity:0.19
Variance:0.00
Optimal Range:
1.30 - 1.30
analysisInterval
59%
Sensitivity:0.01
Variance:0.00
Optimal Range:
10.00 - 10.00
institutionalScore
59%
Sensitivity:0.01
Variance:0.00
Optimal Range:
12.00 - 12.00
orderBookThreshold
59%
Sensitivity:0.65
Variance:0.00
Optimal Range:
0.55 - 0.55
confidenceThreshold
59%
Sensitivity:0.01
Variance:0.00
Optimal Range:
35.00 - 35.00
largeOrdersThreshold
59%
Sensitivity:0.00
Variance:0.00
Optimal Range:
180.00 - 180.00
Most Stable Parameters
stopLossPercent
99%
orderBookScore
59%
signalLifetime
59%
Least Stable Parameters
largeOrdersThreshold
59%
confidenceThreshold
59%
orderBookThreshold
59%
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
63.1%
Moderate noise
Score Variance
0.00
Coefficient of Variation: 0.750
Score Noise Level
90.0%
Parameters Analyzed
11
Parameter Noise Levels
volumeThreshold
23%
Variance: 0.00
orderBookThreshold
23%
Variance: 0.00
analysisInterval
23%
Variance: 0.00
largeOrdersThreshold
23%
Variance: 0.00
institutionalScore
23%
Variance: 0.00
signalLifetime
23%
Variance: 0.00
volumeBuyScore
23%
Variance: 0.00
confidenceThreshold
23%
Variance: 0.00
stopLossPercent
23%
Variance: 0.00
Recommendations
- Moderate noise level. Consider increasing iterations or sample size for more reliable results.
- High coefficient of variation (0.75). 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
15.0%
Parameters Analyzed
11
Most Robust
stopLossPercent
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
stopLossPercent
40%
Tolerance:0.0%
Optimal Value:10.00
Degradation Rate:0.00
Stable Range:
10.00 - 10.00
largeOrdersThreshold
34%
Tolerance:0.0%
Optimal Value:180.00
Degradation Rate:0.00
Stable Range:
180.00 - 180.00
signalLifetime
26%
Tolerance:0.0%
Optimal Value:60.00
Degradation Rate:0.01
Stable Range:
60.00 - 60.00
analysisInterval
17%
Tolerance:0.0%
Optimal Value:50.00
Degradation Rate:0.01
Stable Range:
50.00 - 50.00
volumeBuyScore
16%
Tolerance:0.0%
Optimal Value:10.00
Degradation Rate:0.01
Stable Range:
10.00 - 10.00
orderBookScore
13%
Tolerance:0.0%
Optimal Value:10.00
Degradation Rate:0.01
Stable Range:
10.00 - 10.00
confidenceThreshold
10%
Tolerance:0.0%
Optimal Value:35.00
Degradation Rate:0.01
Stable Range:
35.00 - 35.00
volumeSellScore
8%
Tolerance:0.0%
Optimal Value:12.00
Degradation Rate:0.02
Stable Range:
12.00 - 12.00
volumeThreshold
0%
Tolerance:0.0%
Optimal Value:2.10
Degradation Rate:0.45
Stable Range:
2.10 - 2.10
institutionalScore
0%
Tolerance:0.0%
Optimal Value:12.00
Degradation Rate:0.02
Stable Range:
12.00 - 12.00
orderBookThreshold
0%
Tolerance:0.0%
Optimal Value:0.25
Degradation Rate:1.06
Stable Range:
0.25 - 0.25
Most Robust Parameters
stopLossPercent
40%
largeOrdersThreshold
34%
signalLifetime
26%
Least Robust Parameters
orderBookThreshold
0%
institutionalScore
0%
volumeThreshold
0%
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, institutionalScore, volumeThreshold. 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
84.8%
Parameter space explored
Suggestions Generated
13
1 high priority
Parameters Analyzed
11
Optimization Suggestions
Fill Gap in orderBookThreshold
HIGH
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
MEDIUM
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
MEDIUM
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
MEDIUM
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 volumeSellScore
MEDIUM
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
MEDIUM
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
MEDIUM
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
MEDIUM
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
MEDIUM
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
MEDIUM
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 orderBookScore
MEDIUM
Optimal value (10.00) is near boundary. Consider exploring beyond tested range.
Parameter: orderBookScore
Suggested Range: 7.00 - 43.00
Expected Benefit: May find better values outside current range
Estimated Iterations: ~2
Explore Boundaries of volumeBuyScore
MEDIUM
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
MEDIUM
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 | 2.10 | 9 |
| volumeSellScore | 83.3% | 8.00 - 40.00 | 12.00 | 10 |
| institutionalScore | 83.3% | 8.00 - 40.00 | 12.00 | 10 |
| orderBookThreshold | 83.3% | 0.15 - 0.55 | 0.25 | 6 |
| orderBookScore | 83.3% | 10.00 - 40.00 | 10.00 | 8 |
| signalLifetime | 83.3% | 20.00 - 120.00 | 60.00 | 7 |
| volumeBuyScore | 83.3% | 10.00 - 40.00 | 10.00 | 8 |
| analysisInterval | 83.3% | 10.00 - 60.00 | 50.00 | 7 |
| confidenceThreshold | 83.3% | 25.00 - 75.00 | 35.00 | 7 |
| largeOrdersThreshold | 83.3% | 30.00 - 300.00 | 180.00 | 11 |
| stopLossPercent | 100.0% | 10.00 - 10.00 | 10.00 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|
#1 | 0.20 | 7.06% | 48.15% | 0.20 | 1.90 | 2.40% | 81 | 31.25% | 50.00% | View → |
#2 | 0.18 | 6.68% | 51.19% | 0.18 | 1.80 | 2.31% | 84 | 34.04% | 100.00% | View → |
#6 | 0.12 | 4.50% | 43.59% | 0.12 | 1.44 | 3.37% | 78 | -22.73% | 50.00% | View → |
#10 | 0.09 | 3.97% | 44.83% | 0.09 | 1.37 | 2.90% | 87 | -33.98% | — | View → |
#12 | 0.09 | 3.81% | 40.00% | 0.09 | 1.37 | 3.09% | 80 | -14.35% | 50.00% | View → |
#15 | 0.09 | 3.25% | 35.44% | 0.09 | 1.33 | 4.01% | 79 | 34.43% | 50.00% | View → |
#23 | 0.08 | 2.90% | 37.21% | 0.08 | 1.25 | 3.58% | 86 | 7.14% | 50.00% | View → |
#25 | 0.08 | 2.81% | 40.70% | 0.08 | 1.28 | 1.96% | 86 | -23.24% | 50.00% | View → |
#29 | 0.07 | 2.61% | 41.46% | 0.07 | 1.24 | 3.91% | 82 | 1066.67% | 50.00% | View → |
#35 | 0.08 | 2.50% | 40.79% | 0.08 | 1.27 | 2.39% | 76 | 34.78% | 50.00% | View → |
#42 | 0.06 | 2.18% | 35.96% | 0.06 | 1.20 | 3.16% | 89 | 7.71% | 50.00% | View → |
#44 | 0.06 | 2.14% | 36.67% | 0.06 | 1.20 | 4.13% | 90 | 171.00% | 100.00% | View → |
#45 | 0.06 | 1.99% | 36.59% | 0.06 | 1.20 | 3.90% | 82 | 792.31% | 50.00% | View → |
#50 | 0.05 | 1.80% | 40.00% | 0.05 | 1.17 | 4.12% | 85 | 50.19% | 100.00% | View → |
#53 | 0.06 | 1.71% | 41.89% | 0.06 | 1.16 | 2.74% | 74 | -19.23% | — | View → |
#54 | 0.05 | 1.69% | 39.36% | 0.05 | 1.14 | 4.15% | 94 | -82.09% | — | View → |
#63 | 0.04 | 1.54% | 41.76% | 0.04 | 1.13 | 3.85% | 91 | -10.00% | 50.00% | View → |
#67 | 0.05 | 1.49% | 41.33% | 0.05 | 1.15 | 3.67% | 75 | -18.70% | 50.00% | View → |
#79 | 0.04 | 1.27% | 42.53% | 0.04 | 1.11 | 2.70% | 87 | -281.25% | 50.00% | View → |
#84 | 0.04 | 1.20% | 47.30% | 0.04 | 1.12 | 4.09% | 74 | 31.74% | 100.00% | View → |
Average Values (Baseline)
Score: 0.08
Return: 2.85%
Win Rate: 41.34%
Sharpe: 0.08
Profit Factor: 1.29
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
29
Multiple optima detected
Global Optima
1
Avg Score
-0.02
Spread: 0.06
Avg Confidence
18.4%
Multiple Local Optima Detected
The optimization has found 29 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
Global Minimum #1
100% confidence
Score:0.20
Neighbors:5
Parameters:
orderBookScore:10.00
signalLifetime:60.00
volumeBuyScore:10.00
+8 more
Local Minimum #2
92% confidence
Score:0.18
Neighbors:4
Parameters:
orderBookScore:10.00
signalLifetime:40.00
volumeBuyScore:30.00
+8 more
Local Minimum #3
47% confidence
Score:0.08
Neighbors:3
Parameters:
orderBookScore:10.00
signalLifetime:60.00
volumeBuyScore:35.00
+8 more
Local Minimum #4
40% confidence
Score:0.05
Neighbors:4
Parameters:
orderBookScore:25.00
signalLifetime:100.00
volumeBuyScore:30.00
+8 more
Local Minimum #5
12% confidence
Score:-0.02
Neighbors:3
Parameters:
orderBookScore:20.00
signalLifetime:40.00
volumeBuyScore:30.00
+8 more
Local Minimum #6
12% confidence
Score:-0.02
Neighbors:3
Parameters:
orderBookScore:15.00
signalLifetime:100.00
volumeBuyScore:30.00
+8 more
Local Minimum #7
12% confidence
Score:-0.02
Neighbors:5
Parameters:
orderBookScore:30.00
signalLifetime:60.00
volumeBuyScore:40.00
+8 more
Local Minimum #8
10% confidence
Score:-0.03
Neighbors:4
Parameters:
orderBookScore:20.00
signalLifetime:100.00
volumeBuyScore:30.00
+8 more
Local Minimum #9
10% confidence
Score:-0.03
Neighbors:3
Parameters:
orderBookScore:25.00
signalLifetime:100.00
volumeBuyScore:35.00
+8 more
Local Minimum #10
10% confidence
Score:-0.03
Neighbors:4
Parameters:
orderBookScore:15.00
signalLifetime:40.00
volumeBuyScore:40.00
+8 more
Local Minimum #11
10% confidence
Score:-0.03
Neighbors:3
Parameters:
orderBookScore:15.00
signalLifetime:60.00
volumeBuyScore:40.00
+8 more
Local Minimum #12
10% confidence
Score:-0.04
Neighbors:4
Parameters:
orderBookScore:10.00
signalLifetime:60.00
volumeBuyScore:25.00
+8 more
Local Minimum #13
10% confidence
Score:-0.05
Neighbors:4
Parameters:
orderBookScore:40.00
signalLifetime:80.00
volumeBuyScore:30.00
+8 more
Local Minimum #14
10% confidence
Score:-0.05
Neighbors:7
Parameters:
orderBookScore:15.00
signalLifetime:40.00
volumeBuyScore:35.00
+8 more
Local Minimum #15
10% confidence
Score:-0.05
Neighbors:6
Parameters:
orderBookScore:25.00
signalLifetime:100.00
volumeBuyScore:35.00
+8 more
Local Minimum #16
10% confidence
Score:-0.05
Neighbors:5
Parameters:
orderBookScore:30.00
signalLifetime:100.00
volumeBuyScore:40.00
+8 more
Local Minimum #17
10% confidence
Score:-0.05
Neighbors:3
Parameters:
orderBookScore:30.00
signalLifetime:60.00
volumeBuyScore:40.00
+8 more
Local Minimum #18
10% confidence
Score:-0.05
Neighbors:5
Parameters:
orderBookScore:25.00
signalLifetime:80.00
volumeBuyScore:15.00
+8 more
Local Minimum #19
10% confidence
Score:-0.05
Neighbors:6
Parameters:
orderBookScore:30.00
signalLifetime:40.00
volumeBuyScore:35.00
+8 more
Local Minimum #20
10% confidence
Score:-0.05
Neighbors:4
Parameters:
orderBookScore:30.00
signalLifetime:100.00
volumeBuyScore:35.00
+8 more
Local Minimum #21
10% confidence
Score:-0.05
Neighbors:5
Parameters:
orderBookScore:30.00
signalLifetime:60.00
volumeBuyScore:40.00
+8 more
Local Minimum #22
10% confidence
Score:-0.05
Neighbors:4
Parameters:
orderBookScore:15.00
signalLifetime:60.00
volumeBuyScore:25.00
+8 more
Local Minimum #23
10% confidence
Score:-0.05
Neighbors:3
Parameters:
orderBookScore:30.00
signalLifetime:60.00
volumeBuyScore:10.00
+8 more
Local Minimum #24
10% confidence
Score:-0.05
Neighbors:5
Parameters:
orderBookScore:25.00
signalLifetime:100.00
volumeBuyScore:25.00
+8 more
Local Minimum #25
10% confidence
Score:-0.05
Neighbors:4
Parameters:
orderBookScore:25.00
signalLifetime:100.00
volumeBuyScore:30.00
+8 more
Local Minimum #26
10% confidence
Score:-0.05
Neighbors:4
Parameters:
orderBookScore:25.00
signalLifetime:60.00
volumeBuyScore:30.00
+8 more
Local Minimum #27
10% confidence
Score:-0.05
Neighbors:3
Parameters:
orderBookScore:20.00
signalLifetime:60.00
volumeBuyScore:40.00
+8 more
Local Minimum #28
10% confidence
Score:-0.05
Neighbors:4
Parameters:
orderBookScore:40.00
signalLifetime:20.00
volumeBuyScore:30.00
+8 more
Local Minimum #29
10% confidence
Score:-0.05
Neighbors:3
Parameters:
orderBookScore:30.00
signalLifetime:120.00
volumeBuyScore:15.00
+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:
Rank #1 (Score: 0.20)
Rank #2 (Score: 0.18)
Rank #6 (Score: 0.12)
Rank #15 (Score: 0.09)
Rank #12 (Score: 0.09)
Rank #10 (Score: 0.09)
Rank #23 (Score: 0.08)
Rank #35 (Score: 0.08)
Rank #25 (Score: 0.08)
Rank #29 (Score: 0.07)
3 of 5 selected
| Metric | Rank #1 View Details → | Rank #2 View Details → | Rank #6 View Details → |
|---|---|---|---|
| Score | 0.20 | 0.18 -10.0% | 0.12 -40.0% |
| Total Return (%) | 7.06% | 6.68% -5.4% | 4.50% -36.3% |
| Win Rate (%) | 48.15% | 51.19% +6.3% | 43.59% -9.5% |
| Sharpe Ratio | 0.20 | 0.18 -10.0% | 0.12 -40.0% |
| Profit Factor | 1.90 | 1.80 -5.3% | 1.44 -24.2% |
| Max Drawdown (%) | 2.40% | 2.31% -3.7% | 3.37% +40.4% |
| Total Trades | 81 | 84 +3.7% | 78 -3.7% |
| orderBookScore | 10.00 | 10.00 | 30.00 +200.0% |
| signalLifetime | 60.00 | 40.00 -33.3% | 20.00 -66.7% |
| volumeBuyScore | 10.00 | 30.00 +200.0% | 30.00 +200.0% |
| stopLossPercent | 10.00 | 10.00 | 10.00 |
| volumeSellScore | 12.00 | 24.00 +100.0% | 36.00 +200.0% |
| volumeThreshold | 2.10 | 1.50 -28.6% | 2.50 +19.0% |
| analysisInterval | 50.00 | 50.00 | 40.00 -20.0% |
| institutionalScore | 12.00 | 12.00 | 8.00 -33.3% |
| orderBookThreshold | 0.25 | 0.55 +120.0% | 0.45 +80.0% |
| confidenceThreshold | 35.00 | 35.00 | 45.00 +28.6% |
| largeOrdersThreshold | 180.00 | 300.00 +66.7% | 240.00 +33.3% |
Legend
Better than baseline
Worse than baseline
Baseline (best result)
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 ↔ confidenceThreshold
+0.43
moderate
institutionalScore and confidenceThreshold show moderate positive correlation.
Correlation Matrix
| Parameter | orderBookScore | signalLifetime | volumeBuyScore | stopLossPercent | volumeSellScore | volumeThreshold | analysisInterval | institutionalScore | orderBookThreshold | confidenceThreshold | largeOrdersThreshold |
|---|---|---|---|---|---|---|---|---|---|---|---|
| orderBookScore | 1.00 | -0.11 | 0.04 | 0.00 | -0.08 | -0.00 | -0.00 | 0.03 | -0.05 | 0.37 | -0.13 |
| signalLifetime | -0.11 | 1.00 | -0.01 | 0.00 | -0.04 | -0.01 | -0.05 | 0.08 | 0.02 | 0.04 | -0.02 |
| volumeBuyScore | 0.04 | -0.01 | 1.00 | 0.00 | -0.14 | -0.05 | -0.05 | -0.06 | 0.33 | -0.00 | 0.04 |
| stopLossPercent | 0.00 | 0.00 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| volumeSellScore | -0.08 | -0.04 | -0.14 | 0.00 | 1.00 | 0.06 | -0.00 | 0.10 | -0.19 | -0.02 | -0.06 |
| volumeThreshold | -0.00 | -0.01 | -0.05 | 0.00 | 0.06 | 1.00 | 0.06 | -0.02 | 0.00 | -0.01 | -0.01 |
| analysisInterval | -0.00 | -0.05 | -0.05 | 0.00 | -0.00 | 0.06 | 1.00 | -0.05 | 0.00 | -0.08 | -0.02 |
| institutionalScore | 0.03 | 0.08 | -0.06 | 0.00 | 0.10 | -0.02 | -0.05 | 1.00 | -0.19 | 0.43 | -0.06 |
| orderBookThreshold | -0.05 | 0.02 | 0.33 | 0.00 | -0.19 | 0.00 | 0.00 | -0.19 | 1.00 | -0.03 | 0.13 |
| confidenceThreshold | 0.37 | 0.04 | -0.00 | 0.00 | -0.02 | -0.01 | -0.08 | 0.43 | -0.03 | 1.00 | -0.01 |
| largeOrdersThreshold | -0.13 | -0.02 | 0.04 | 0.00 | -0.06 | -0.01 | -0.02 | -0.06 | 0.13 | -0.01 | 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 | |||||||
|---|---|---|---|---|---|---|---|---|
#1 | 0.20 | 7.06% | 48.1% | 0.20 | 2.40% | 81 | orderBookScore: 10, signalLifetime: 60, volumeBuyScore: 10... | |
#2 | 0.18 | 6.68% | 51.2% | 0.18 | 2.31% | 84 | orderBookScore: 10, signalLifetime: 40, volumeBuyScore: 30... | |
#6 | 0.12 | 4.50% | 43.6% | 0.12 | 3.37% | 78 | orderBookScore: 30, signalLifetime: 20, volumeBuyScore: 30... | |
#15 | 0.09 | 3.25% | 35.4% | 0.09 | 4.01% | 79 | orderBookScore: 20, signalLifetime: 100, volumeBuyScore: 25... | |
#12 | 0.09 | 3.81% | 40.0% | 0.09 | 3.09% | 80 | orderBookScore: 15, signalLifetime: 40, volumeBuyScore: 30... | |
#10 | 0.09 | 3.97% | 44.8% | 0.09 | 2.90% | 87 | orderBookScore: 35, signalLifetime: 120, volumeBuyScore: 35... | |
#23 | 0.08 | 2.90% | 37.2% | 0.08 | 3.58% | 86 | orderBookScore: 10, signalLifetime: 60, volumeBuyScore: 35... | |
#35 | 0.08 | 2.50% | 40.8% | 0.08 | 2.39% | 76 | orderBookScore: 20, signalLifetime: 100, volumeBuyScore: 35... | |
#25 | 0.08 | 2.81% | 40.7% | 0.08 | 1.96% | 86 | orderBookScore: 25, signalLifetime: 40, volumeBuyScore: 10... | |
#29 | 0.07 | 2.61% | 41.5% | 0.07 | 3.91% | 82 | orderBookScore: 25, signalLifetime: 60, volumeBuyScore: 40... |
Showing 1-10 of 20 results
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 | 0.204 | ↑ | low | -0.04 | -0.03 |
| Order Book Score | 0.959 | -0.195 | ↓ | low | -0.03 | -0.05 |
| Institutional Score | 0.642 | -0.131 | ↓ | low | -0.03 | -0.05 |
| Order Book Threshold | 0.373 | 0.076 | — | low | -0.04 | -0.05 |
| Large Orders Threshold | 0.284 | 0.058 | — | low | -0.04 | -0.04 |
| Volume Buy Score | 0.245 | 0.050 | — | low | -0.04 | -0.04 |
| Analysis Interval | 0.117 | 0.024 | — | low | -0.04 | -0.04 |
| Volume Sell Score | 0.089 | -0.018 | — | low | -0.03 | -0.04 |
| Volume Threshold | 0.034 | 0.007 | — | low | -0.04 | -0.04 |
| Signal Lifetime | 0.009 | -0.002 | — | low | -0.04 | -0.05 |
| Stop Loss Percent | 0.000 | 0.000 | — | low | -0.01 | -0.05 |
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
99.7%
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|
0.060
Parameter Pairs
55
Total Parameters
11
Displayed Results
100
of 500
Score Range
0.26
-0.06 - 0.20
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
4
0.8% of total
Dominated
496
Avg Return (Pareto)
4.22%
Avg Risk (Pareto)
2.15%
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.
WFE: poor
Consistency: good
PF: poor
WFE
16.9%
Validation Return
0.42%
Consistency
50%
Profit Factor (OOS)
—
Sharpe Ratio OOS
0.05
DD Ratio
—
| Period | IS Return | OOS Return | IS Sharpe | OOS Sharpe | Trades |
|---|---|---|---|---|---|
Period 1 2024-11-04T00:00:00.000Z → 2025-05-04T00:00:00.000Z | -4.20% | -0.16% | — | — | — |
Period 2 2025-03-06T00:00:00.000Z → 2025-09-03T00:00:00.000Z | -0.79% | 0.99% | — | — | — |
IS vs OOS Performance Gap
Comparison of in-sample (optimization) and out-of-sample (validation) performance metrics. Large gaps indicate potential overfitting.
Return Gap
-116.9%
IS: -2.49% | OOS: 0.42%
Sharpe Gap
-138.5%
IS: -0.13 | OOS: 0.05
Walk-Forward Efficiency Distribution
Distribution of WFE (Walk-Forward Efficiency) across all validation windows. Higher WFE indicates better robustness.
Avg WFE
60.8%
Min WFE
-3.8%
Max WFE
125.3%
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
40.0%
Profitability
50.0%
1/2 periods
Return Consistency
0.0%
Mean Return
0.41%
Std Dev: 0.57%
Backtest Breakdown
Detailed backtest metrics, configuration and trade logs.
Backtest Overview
Total Return
-2.57%
Win Rate
34.32%
Sharpe Ratio
-0.05
Profit Factor
0.84
Max Drawdown
7.13%
Total Trades
169
Backtest Configuration
Start Date2024-11-04
End Date2025-11-04
Initial Balance10000
Commission—
Slippage—
Iterations5
Equity Curve
Equity Points (last 100)
| Timestamp | Balance | Drawdown |
|---|---|---|
| 04/11/2025, 00:00:00 | 9743.87 | 4.42% |
| 03/11/2025, 00:00:00 | 9691.67 | 4.93% |
| 02/11/2025, 00:00:00 | 9729.76 | 4.56% |
| 01/11/2025, 00:00:00 | 9725.57 | 4.60% |
| 31/10/2025, 00:00:00 | 9722.77 | 4.63% |
| 30/10/2025, 00:00:00 | 9727.70 | 4.58% |
| 29/10/2025, 00:00:00 | 9716.09 | 4.69% |
| 28/10/2025, 00:00:00 | 9707.15 | 4.78% |
| 27/10/2025, 00:00:00 | 9691.22 | 4.94% |
| 26/10/2025, 00:00:00 | 9696.04 | 4.89% |
| 25/10/2025, 00:00:00 | 9670.44 | 5.14% |
| 24/10/2025, 00:00:00 | 9668.09 | 5.17% |
| 23/10/2025, 00:00:00 | 9658.88 | 5.26% |
| 22/10/2025, 00:00:00 | 9665.41 | 5.19% |
| 21/10/2025, 00:00:00 | 9657.31 | 5.27% |
| 20/10/2025, 00:00:00 | 9670.41 | 5.14% |
| 19/10/2025, 00:00:00 | 9670.84 | 5.14% |
| 18/10/2025, 00:00:00 | 9659.70 | 5.25% |
| 17/10/2025, 00:00:00 | 9666.40 | 5.18% |
| 16/10/2025, 00:00:00 | 9659.13 | 5.25% |
| 15/10/2025, 00:00:00 | 9648.35 | 5.36% |
| 14/10/2025, 00:00:00 | 9632.59 | 5.51% |
| 13/10/2025, 00:00:00 | 9646.27 | 5.38% |
| 12/10/2025, 00:00:00 | 9636.44 | 5.48% |
| 11/10/2025, 00:00:00 | 9681.06 | 5.04% |
| 10/10/2025, 00:00:00 | 9671.64 | 5.13% |
| 09/10/2025, 00:00:00 | 9613.21 | 5.70% |
| 08/10/2025, 00:00:00 | 9630.38 | 5.53% |
| 07/10/2025, 00:00:00 | 9639.23 | 5.45% |
| 06/10/2025, 00:00:00 | 9664.46 | 5.20% |
| 05/10/2025, 00:00:00 | 9646.72 | 5.37% |
| 04/10/2025, 00:00:00 | 9650.07 | 5.34% |
| 03/10/2025, 00:00:00 | 9653.11 | 5.31% |
| 02/10/2025, 00:00:00 | 9649.86 | 5.34% |
| 01/10/2025, 00:00:00 | 9635.17 | 5.49% |
| 30/09/2025, 00:00:00 | 9659.45 | 5.25% |
| 29/09/2025, 00:00:00 | 9667.82 | 5.17% |
| 28/09/2025, 00:00:00 | 9659.66 | 5.25% |
| 27/09/2025, 00:00:00 | 9674.94 | 5.10% |
| 26/09/2025, 00:00:00 | 9677.02 | 5.08% |
| 25/09/2025, 00:00:00 | 9694.08 | 4.91% |
| 24/09/2025, 00:00:00 | 9664.09 | 5.20% |
| 23/09/2025, 00:00:00 | 9662.90 | 5.22% |
| 22/09/2025, 00:00:00 | 9658.90 | 5.26% |
| 21/09/2025, 00:00:00 | 9632.52 | 5.51% |
| 20/09/2025, 00:00:00 | 9628.68 | 5.55% |
| 19/09/2025, 00:00:00 | 9630.39 | 5.53% |
| 18/09/2025, 00:00:00 | 9642.79 | 5.41% |
| 17/09/2025, 00:00:00 | 9643.51 | 5.41% |
| 16/09/2025, 00:00:00 | 9652.68 | 5.32% |
| 15/09/2025, 00:00:00 | 9650.43 | 5.34% |
| 14/09/2025, 00:00:00 | 9642.08 | 5.42% |
| 13/09/2025, 00:00:00 | 9636.04 | 5.48% |
| 12/09/2025, 00:00:00 | 9641.17 | 5.43% |
| 11/09/2025, 00:00:00 | 9612.80 | 5.71% |
| 10/09/2025, 00:00:00 | 9600.54 | 5.83% |
| 09/09/2025, 00:00:00 | 9596.05 | 5.87% |
| 08/09/2025, 00:00:00 | 9595.60 | 5.88% |
| 07/09/2025, 00:00:00 | 9596.00 | 5.87% |
| 06/09/2025, 00:00:00 | 9599.53 | 5.84% |
| 05/09/2025, 00:00:00 | 9595.81 | 5.87% |
| 04/09/2025, 00:00:00 | 9597.41 | 5.86% |
| 03/09/2025, 00:00:00 | 9614.53 | 5.69% |
| 02/09/2025, 00:00:00 | 9628.53 | 5.55% |
| 01/09/2025, 00:00:00 | 9630.34 | 5.54% |
| 31/08/2025, 00:00:00 | 9638.87 | 5.45% |
| 30/08/2025, 00:00:00 | 9637.38 | 5.47% |
| 29/08/2025, 00:00:00 | 9638.87 | 5.45% |
| 28/08/2025, 00:00:00 | 9622.75 | 5.61% |
| 27/08/2025, 00:00:00 | 9623.58 | 5.60% |
| 26/08/2025, 00:00:00 | 9633.95 | 5.50% |
| 25/08/2025, 00:00:00 | 9656.53 | 5.28% |
| 24/08/2025, 00:00:00 | 9616.02 | 5.68% |
| 23/08/2025, 00:00:00 | 9616.33 | 5.67% |
| 22/08/2025, 00:00:00 | 9595.89 | 5.87% |
| 21/08/2025, 00:00:00 | 9665.73 | 5.19% |
| 20/08/2025, 00:00:00 | 9678.71 | 5.06% |
| 19/08/2025, 00:00:00 | 9708.10 | 4.77% |
| 18/08/2025, 00:00:00 | 9681.58 | 5.03% |
| 17/08/2025, 00:00:00 | 9699.29 | 4.86% |
| 16/08/2025, 00:00:00 | 9704.64 | 4.81% |
| 15/08/2025, 00:00:00 | 9702.77 | 4.82% |
| 14/08/2025, 00:00:00 | 9691.81 | 4.93% |
| 13/08/2025, 00:00:00 | 9713.17 | 4.72% |
| 12/08/2025, 00:00:00 | 9696.56 | 4.89% |
| 11/08/2025, 00:00:00 | 9738.98 | 4.47% |
| 10/08/2025, 00:00:00 | 9742.61 | 4.43% |
| 09/08/2025, 00:00:00 | 9743.98 | 4.42% |
| 08/08/2025, 00:00:00 | 9710.98 | 4.74% |
| 07/08/2025, 00:00:00 | 9697.95 | 4.87% |
| 06/08/2025, 00:00:00 | 9668.55 | 5.16% |
| 05/08/2025, 00:00:00 | 9678.64 | 5.06% |
| 04/08/2025, 00:00:00 | 9693.64 | 4.91% |
| 03/08/2025, 00:00:00 | 9663.28 | 5.21% |
| 02/08/2025, 00:00:00 | 9676.86 | 5.08% |
| 01/08/2025, 00:00:00 | 9664.68 | 5.20% |
| 31/07/2025, 00:00:00 | 9637.55 | 5.46% |
| 30/07/2025, 00:00:00 | 9652.26 | 5.32% |
| 29/07/2025, 00:00:00 | 9654.43 | 5.30% |
| 28/07/2025, 00:00:00 | 9654.29 | 5.30% |
Trades
| Time | Side | Price | Quantity | PnL | PnL % | Reason |
|---|---|---|---|---|---|---|
| 04/11/2024, 00:00:00 | SELL | 2396.9400 | 0.2086 | 0.00 | 0.00% | Open short position |
| 05/11/2024, 00:00:00 | BUY | 2422.5200 | 0.2086 | -5.84 | -1.17% | Close short position |
| 05/11/2024, 00:00:00 | BUY | 2422.5200 | 0.2064 | 0.00 | 0.00% | Open long position |
| 12/11/2024, 00:00:00 | SELL | 3247.5800 | 0.2064 | 169.62 | 33.92% | Close long position |
| 12/11/2024, 00:00:00 | SELL | 3247.5800 | 0.1539 | 0.00 | 0.00% | Open short position |
| 15/11/2024, 00:00:00 | BUY | 3090.6400 | 0.1539 | 23.67 | 4.74% | Close short position |
| 15/11/2024, 00:00:00 | BUY | 3090.6400 | 0.1644 | 0.00 | 0.00% | Open long position |
| 17/11/2024, 00:00:00 | SELL | 3076.9000 | 0.1644 | -2.77 | -0.54% | Close long position |
| 17/11/2024, 00:00:00 | SELL | 3076.9000 | 0.1655 | 0.00 | 0.00% | Open short position |
| 18/11/2024, 00:00:00 | BUY | 3209.4200 | 0.1655 | -22.47 | -4.41% | Close short position |
| 18/11/2024, 00:00:00 | BUY | 3209.4200 | 0.1587 | 0.00 | 0.00% | Open long position |
| 19/11/2024, 00:00:00 | SELL | 3111.6100 | 0.1587 | -16.01 | -3.14% | Close long position |
| 19/11/2024, 00:00:00 | SELL | 3111.6100 | 0.1633 | 0.00 | 0.00% | Open short position |
| 21/11/2024, 00:00:00 | BUY | 3359.4400 | 0.1633 | -41.02 | -8.07% | Close short position |
| 21/11/2024, 00:00:00 | BUY | 3359.4400 | 0.1510 | 0.00 | 0.00% | Open long position |
| 22/11/2024, 00:00:00 | SELL | 3332.1500 | 0.1510 | -4.62 | -0.91% | Close long position |
| 22/11/2024, 00:00:00 | SELL | 3332.1500 | 0.1516 | 0.00 | 0.00% | Open short position |
| 23/11/2024, 00:00:00 | BUY | 3397.3900 | 0.1516 | -10.41 | -2.06% | Close short position |
| 23/11/2024, 00:00:00 | BUY | 3397.3900 | 0.1487 | 0.00 | 0.00% | Open long position |
| 24/11/2024, 00:00:00 | SELL | 3365.5600 | 0.1487 | -5.23 | -1.04% | Close long position |
| 24/11/2024, 00:00:00 | SELL | 3365.5600 | 0.1499 | 0.00 | 0.00% | Open short position |
| 25/11/2024, 00:00:00 | BUY | 3414.0200 | 0.1499 | -7.78 | -1.54% | Close short position |
| 25/11/2024, 00:00:00 | BUY | 3414.0200 | 0.1477 | 0.00 | 0.00% | Open long position |
| 26/11/2024, 00:00:00 | SELL | 3323.2300 | 0.1477 | -13.90 | -2.76% | Close long position |
| 26/11/2024, 00:00:00 | SELL | 3323.2300 | 0.1516 | 0.00 | 0.00% | Open short position |
| 27/11/2024, 00:00:00 | BUY | 3655.5530 | 0.1516 | -50.94 | -10.11% | Stop loss triggered (10%) |
| 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 | 3843.7300 | 0.1373 | -27.86 | -5.57% | Close short position |
| 04/12/2024, 00:00:00 | BUY | 3843.7300 | 0.1303 | 0.00 | 0.00% | Open long position |
| 05/12/2024, 00:00:00 | SELL | 3789.4500 | 0.1303 | -7.57 | -1.51% | Close long position |
| 05/12/2024, 00:00:00 | SELL | 3789.4500 | 0.1318 | 0.00 | 0.00% | Open short position |
| 06/12/2024, 00:00:00 | BUY | 4005.6100 | 0.1318 | -29.02 | -5.81% | Close short position |
| 06/12/2024, 00:00:00 | BUY | 4005.6100 | 0.1246 | 0.00 | 0.00% | Open long position |
| 09/12/2024, 00:00:00 | SELL | 3605.0490 | 0.1246 | -50.35 | -10.09% | Stop loss triggered (10%) |
| 10/12/2024, 00:00:00 | SELL | 3630.6400 | 0.1364 | 0.00 | 0.00% | Open short position |
| 11/12/2024, 00:00:00 | BUY | 3834.9600 | 0.1364 | -28.38 | -5.73% | Close short position |
| 11/12/2024, 00:00:00 | BUY | 3834.9600 | 0.1291 | 0.00 | 0.00% | Open long position |
| 14/12/2024, 00:00:00 | SELL | 3869.6300 | 0.1291 | 3.98 | 0.80% | Close long position |
| 14/12/2024, 00:00:00 | SELL | 3869.6300 | 0.1276 | 0.00 | 0.00% | Open short position |
| 15/12/2024, 00:00:00 | BUY | 3958.4500 | 0.1276 | -11.84 | -2.40% | Close short position |
| 15/12/2024, 00:00:00 | BUY | 3958.4500 | 0.1248 | 0.00 | 0.00% | Open long position |
| 17/12/2024, 00:00:00 | SELL | 3893.0300 | 0.1248 | -8.65 | -1.75% | Close long position |
| 17/12/2024, 00:00:00 | SELL | 3893.0300 | 0.1267 | 0.00 | 0.00% | Open short position |
| 20/12/2024, 00:00:00 | BUY | 3470.7800 | 0.1267 | 53.06 | 10.76% | Close short position |
| 20/12/2024, 00:00:00 | BUY | 3470.7800 | 0.1420 | 0.00 | 0.00% | Open long position |
| 21/12/2024, 00:00:00 | SELL | 3337.1700 | 0.1420 | -19.45 | -3.95% | Close long position |
| 21/12/2024, 00:00:00 | SELL | 3337.1700 | 0.1485 | 0.00 | 0.00% | Open short position |
| 23/12/2024, 00:00:00 | BUY | 3418.2100 | 0.1485 | -12.54 | -2.53% | Close short position |
| 23/12/2024, 00:00:00 | BUY | 3418.2100 | 0.1447 | 0.00 | 0.00% | Open long position |
| 26/12/2024, 00:00:00 | SELL | 3330.8100 | 0.1447 | -13.13 | -2.65% | Close long position |
| 26/12/2024, 00:00:00 | SELL | 3330.8100 | 0.1483 | 0.00 | 0.00% | Open short position |
| 28/12/2024, 00:00:00 | BUY | 3397.8200 | 0.1483 | -10.44 | -2.11% | Close short position |
| 28/12/2024, 00:00:00 | BUY | 3397.8200 | 0.1452 | 0.00 | 0.00% | Open long position |
| 29/12/2024, 00:00:00 | SELL | 3350.1500 | 0.1452 | -7.41 | -1.50% | Close long position |
| 29/12/2024, 00:00:00 | SELL | 3350.1500 | 0.1471 | 0.00 | 0.00% | Open short position |
| 01/01/2025, 00:00:00 | BUY | 3353.2300 | 0.1471 | -0.95 | -0.19% | Close short position |
| 01/01/2025, 00:00:00 | BUY | 3353.2300 | 0.1468 | 0.00 | 0.00% | Open long position |
| 05/01/2025, 00:00:00 | SELL | 3635.4900 | 0.1468 | 40.91 | 8.31% | Close long position |
| 05/01/2025, 00:00:00 | SELL | 3635.4900 | 0.1354 | 0.00 | 0.00% | Open short position |
| 06/01/2025, 00:00:00 | BUY | 3688.8000 | 0.1354 | -7.72 | -1.57% | Close short position |
| 06/01/2025, 00:00:00 | BUY | 3688.8000 | 0.1340 | 0.00 | 0.00% | Open long position |
| 07/01/2025, 00:00:00 | SELL | 3380.5200 | 0.1340 | -41.77 | -8.45% | Close long position |
| 07/01/2025, 00:00:00 | SELL | 3380.5200 | 0.1461 | 0.00 | 0.00% | Open short position |
| 10/01/2025, 00:00:00 | BUY | 3266.2200 | 0.1461 | 16.22 | 3.28% | Close short position |
| 10/01/2025, 00:00:00 | BUY | 3266.2200 | 0.1506 | 0.00 | 0.00% | Open long position |
| 12/01/2025, 00:00:00 | SELL | 3266.1900 | 0.1506 | -0.50 | -0.10% | Close long position |
| 12/01/2025, 00:00:00 | SELL | 3266.1900 | 0.1508 | 0.00 | 0.00% | Open short position |
| 14/01/2025, 00:00:00 | BUY | 3224.4900 | 0.1508 | 5.80 | 1.18% | Close short position |
| 14/01/2025, 00:00:00 | BUY | 3224.4900 | 0.1528 | 0.00 | 0.00% | Open long position |
| 16/01/2025, 00:00:00 | SELL | 3307.9100 | 0.1528 | 12.24 | 2.48% | Close long position |
| 16/01/2025, 00:00:00 | SELL | 3307.9100 | 0.1490 | 0.00 | 0.00% | Open short position |
| 17/01/2025, 00:00:00 | BUY | 3475.3800 | 0.1490 | -25.47 | -5.17% | Close short position |
| 17/01/2025, 00:00:00 | BUY | 3475.3800 | 0.1420 | 0.00 | 0.00% | Open long position |
| 18/01/2025, 00:00:00 | SELL | 3304.1700 | 0.1420 | -24.78 | -5.02% | Close long position |
| 18/01/2025, 00:00:00 | SELL | 3304.1700 | 0.1490 | 0.00 | 0.00% | Open short position |
| 20/01/2025, 00:00:00 | BUY | 3280.4900 | 0.1490 | 3.04 | 0.62% | Close short position |
| 20/01/2025, 00:00:00 | BUY | 3280.4900 | 0.1497 | 0.00 | 0.00% | Open long position |
| 22/01/2025, 00:00:00 | SELL | 3241.4100 | 0.1497 | -6.33 | -1.29% | Close long position |
| 22/01/2025, 00:00:00 | SELL | 3241.4100 | 0.1515 | 0.00 | 0.00% | Open short position |
| 23/01/2025, 00:00:00 | BUY | 3339.0800 | 0.1515 | -15.31 | -3.12% | Close short position |
| 23/01/2025, 00:00:00 | BUY | 3339.0800 | 0.1470 | 0.00 | 0.00% | Open long position |
| 24/01/2025, 00:00:00 | SELL | 3309.9900 | 0.1470 | -4.76 | -0.97% | Close long position |
| 24/01/2025, 00:00:00 | SELL | 3309.9900 | 0.1481 | 0.00 | 0.00% | Open short position |
| 29/01/2025, 00:00:00 | BUY | 3114.0700 | 0.1481 | 28.55 | 5.82% | Close short position |
| 29/01/2025, 00:00:00 | BUY | 3114.0700 | 0.1573 | 0.00 | 0.00% | Open long position |
| 01/02/2025, 00:00:00 | SELL | 3116.4100 | 0.1573 | -0.12 | -0.02% | Close long position |
| 01/02/2025, 00:00:00 | SELL | 3116.4100 | 0.1576 | 0.00 | 0.00% | Open short position |
| 03/02/2025, 00:00:00 | BUY | 2882.6500 | 0.1576 | 36.40 | 7.41% | Close short position |
| 03/02/2025, 00:00:00 | BUY | 2882.6500 | 0.1704 | 0.00 | 0.00% | Open long position |
| 04/02/2025, 00:00:00 | SELL | 2732.4900 | 0.1704 | -26.06 | -5.30% | Close long position |
| 04/02/2025, 00:00:00 | SELL | 2732.4900 | 0.1805 | 0.00 | 0.00% | Open short position |
| 05/02/2025, 00:00:00 | BUY | 2788.3200 | 0.1805 | -10.58 | -2.15% | Close short position |
| 05/02/2025, 00:00:00 | BUY | 2788.3200 | 0.1764 | 0.00 | 0.00% | Open long position |
| 06/02/2025, 00:00:00 | SELL | 2686.7800 | 0.1764 | -18.38 | -3.74% | Close long position |
| 06/02/2025, 00:00:00 | SELL | 2686.7800 | 0.1829 | 0.00 | 0.00% | Open short position |
| 08/02/2025, 00:00:00 | BUY | 2633.2700 | 0.1829 | 9.30 | 1.89% | Close short position |
Raw Backtest Payload
Results
{
"winRate": 34.32,
"bestTrade": 169.62,
"worstTrade": -50.94,
"maxDrawdown": 7.13,
"sharpeRatio": -0.05,
"totalReturn": -2.57,
"totalTrades": 169,
"failedTrades": 111,
"profitFactor": 0.84,
"successfulTrades": 58,
"averageTradeReturn": -1.52
}Trades
[
{
"id": "trade_0",
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"price": 2396.94,
"reason": "Open short position",
"symbol": "ETHUSDC",
"quantity": 0.20859929743756622,
"timestamp": 1730678400000,
"confidence": 0.8,
"pnlPercent": 0
},
{
"id": "trade_1",
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"side": "BUY",
"price": 2422.52,
"reason": "Close short position",
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"quantity": 0.20859929743756622,
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},
{
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},
{
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"reason": "Close long position",
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"quantity": 0.20639664481614187,
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},
{
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"side": "SELL",
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"reason": "Open short position",
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},
{
"id": "trade_5",
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"side": "BUY",
"price": 3090.64,
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},
{
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},
{
"id": "trade_7",
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"side": "SELL",
"price": 3076.9,
"reason": "Close long position",
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},
{
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},
{
"id": "trade_9",
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"side": "BUY",
"price": 3209.42,
"reason": "Close short position",
"symbol": "ETHUSDC",
"quantity": 0.16554731960466063,
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},
{
"id": "trade_10",
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"side": "BUY",
"price": 3209.42,
"reason": "Open long position",
"symbol": "ETHUSDC",
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},
{
"id": "trade_11",
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"side": "SELL",
"price": 3111.61,
"reason": "Close long position",
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},
{
"id": "trade_12",
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"side": "SELL",
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"reason": "Open short position",
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},
{
"id": "trade_13",
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"side": "BUY",
"price": 3359.44,
"reason": "Close short position",
"symbol": "ETHUSDC",
"quantity": 0.16329514522521035,
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},
{
"id": "trade_14",
"pnl": 0,
"side": "BUY",
"price": 3359.44,
"reason": "Open long position",
"symbol": "ETHUSDC",
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},
{
"id": "trade_15",
"pnl": -4.624261059909028,
"side": "SELL",
"price": 3332.15,
"reason": "Close long position",
"symbol": "ETHUSDC",
"quantity": 0.1510103327137067,
"timestamp": 1732233600000,
"confidence": 0.8,
"pnlPercent": -0.911525432810229
},
{
"id": "trade_16",
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"side": "SELL",
"price": 3332.15,
"reason": "Open short position",
"symbol": "ETHUSDC",
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"timestamp": 1732233600000,
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},
{
"id": "trade_17",
"pnl": -10.407597582484721,
"side": "BUY",
"price": 3397.39,
"reason": "Close short position",
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},
{
"id": "trade_18",
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"side": "BUY",
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},
{
"id": "trade_19",
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"side": "SELL",
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"reason": "Close long position",
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},
{
"id": "trade_20",
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"reason": "Open short position",
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},
{
"id": "trade_21",
"pnl": -7.776073034430338,
"side": "BUY",
"price": 3414.02,
"reason": "Close short position",
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},
{
"id": "trade_22",
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},
{
"id": "trade_23",
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"side": "SELL",
"price": 3323.23,
"reason": "Close long position",
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"quantity": 0.1476986263349933,
"timestamp": 1732579200000,
"confidence": 0.8,
"pnlPercent": -2.7566689708906207
},
{
"id": "trade_24",
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"side": "SELL",
"price": 3323.23,
"reason": "Open short position",
"symbol": "ETHUSDC",
"quantity": 0.1516167284926028,
"timestamp": 1732579200000,
"confidence": 0.8,
"pnlPercent": 0
},
{
"id": "trade_25",
"pnl": -50.93996904953861,
"side": "BUY",
"price": 3655.5530000000003,
"reason": "Stop loss triggered (10%)",
"symbol": "ETHUSDC",
"quantity": 0.1516167284926028,
"timestamp": 1732665600000,
"confidence": 0.8,
"pnlPercent": -10.11000000000001
},
{
"id": "trade_26",
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},
{
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"side": "BUY",
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},
{
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"side": "BUY",
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},
{
"id": "trade_29",
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"side": "SELL",
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},
{
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},
{
"id": "trade_31",
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"side": "BUY",
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},
{
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},
{
"id": "trade_33",
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"side": "SELL",
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},
{
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},
{
"id": "trade_35",
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"side": "BUY",
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},
{
"id": "trade_36",
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"side": "BUY",
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},
{
"id": "trade_37",
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"side": "SELL",
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},
{
"id": "trade_38",
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},
{
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},
{
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},
{
"id": "trade_41",
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"side": "SELL",
"price": 3869.63,
"reason": "Close long position",
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"pnlPercent": 0.8031470993178564
},
{
"id": "trade_42",
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"side": "SELL",
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},
{
"id": "trade_43",
"pnl": -11.83606574750994,
"side": "BUY",
"price": 3958.45,
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"timestamp": 1734220800000,
"confidence": 0.8,
"pnlPercent": -2.397605197396126
},
{
"id": "trade_44",
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"side": "BUY",
"price": 3958.45,
"reason": "Open long position",
"symbol": "ETHUSDC",
"quantity": 0.12476115919181725,
"timestamp": 1734220800000,
"confidence": 0.8,
"pnlPercent": 0
},
{
"id": "trade_45",
"pnl": -8.647573969897156,
"side": "SELL",
"price": 3893.03,
"reason": "Close long position",
"symbol": "ETHUSDC",
"quantity": 0.12476115919181725,
"timestamp": 1734393600000,
"confidence": 0.8,
"pnlPercent": -1.751014412206788
},
{
"id": "trade_46",
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"side": "SELL",
"price": 3893.03,
"reason": "Open short position",
"symbol": "ETHUSDC",
"quantity": 0.1267056784344003,
"timestamp": 1734393600000,
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},
{
"id": "trade_47",
"pnl": 53.061705184328986,
"side": "BUY",
"price": 3470.78,
"reason": "Close short position",
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]Raw Config
{
"symbol": "ETHUSDC",
"endDate": "2025-11-04",
"startDate": "2024-11-04",
"iterations": 5,
"strategyName": "bollinger_bands",
"initialBalance": 10000,
"strategyParameters": {
"orderBookScore": 15,
"signalLifetime": 100,
"volumeBuyScore": 25,
"stopLossPercent": 10,
"volumeSellScore": 20,
"volumeThreshold": 1.5,
"analysisInterval": 10,
"institutionalScore": 36,
"orderBookThreshold": 0.25,
"confidenceThreshold": 55,
"largeOrdersThreshold": 180
}
}Export Full Optimization Log
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Export includes:
- Main optimization result with all metrics
- Convergence data (500 iterations)
- Sensitivity analysis (500 data points)
- Comparison results (20 top results)
- Score distribution (500 scores)
- Walk-Forward Analysis data (if available)
- All parameters and configuration
Generate PDF Report
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Generate PDF Report
Create a comprehensive PDF report with optimization results and analysis.
Report will include:
- Strategy information and configuration
- Performance metrics and key statistics
- Strategy parameters
- Walk-Forward Analysis results (if available)
- Charts and visualizations
- Detailed data tables
Deploy to Demo/Live Trading
Deploy this optimization result to demo or live trading environment.
Deploy to Demo/Live Trading
Deploy optimized parameters to demo or live trading environment.
Demo Trading
Safe
Deployment Summary
Strategy
bollinger_bands
Symbol
ETHUSDC
Score
-0.0500
Total Return
-2.57%
Parameters
11 parameters
WFE
16.9%
Parameters to Deploy
orderBookScore:15
signalLifetime:100
volumeBuyScore:25
stopLossPercent:10
volumeSellScore:20
volumeThreshold:1.5
+5 more parameters
Live Trading
Real Funds
Warning: Low WFE
Walk-Forward Efficiency is 16.9%, which is below the recommended threshold of 50%. This may indicate overfitting. Consider reviewing parameters before deploying.
Deployment Summary
Strategy
bollinger_bands
Symbol
ETHUSDC
Score
-0.0500
Total Return
-2.57%
Parameters
11 parameters
WFE
16.9%
Parameters to Deploy
orderBookScore:15
signalLifetime:100
volumeBuyScore:25
stopLossPercent:10
volumeSellScore:20
volumeThreshold:1.5
+5 more parameters
Best Practices Guide
Learn best practices for optimization and backtesting.
Best Practices Guide
Key principles for successful strategy optimization.
Avoid Overfitting
high
High in-sample returns with low out-of-sample returns (low WFE) indicate overfitting. Prefer strategies with WFE > 50%.
Consider Multiple Metrics
high
Don't optimize only for total return. Consider Sharpe Ratio, Max Drawdown, and Win Rate together.
Test on Multiple Time Periods
high
Use Walk-Forward Analysis to test strategy robustness across different market conditions.
Ensure Statistical Significance
medium
Require at least 50-100 trades for reliable results. Fewer trades may not be statistically significant.
Manage Risk
high
Keep Max Drawdown below 30% and use appropriate position sizing. High returns with high drawdowns are risky.
Review Parameter Stability
medium
Check Parameter Stability Zones to ensure optimal parameters are in stable regions, not on peaks.
Consider Market Regimes
medium
Strategy performance may vary in bull, bear, and sideways markets. Test across different conditions.
Start Conservative
medium
Begin with conservative parameters and gradually optimize. Aggressive parameters may work in-sample but fail out-of-sample.
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