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<li><a href="#upload">Uploading Data</a></li>
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<li><a href="#config">Configuring Strategy Generation</a></li>
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<li><a href="#walkforward">Walk-Forward Analysis</a></li>
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<li><a href="#montecarlo">Monte Carlo Simulation</a></li>
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<li><a href="#generate">Generating Strategies</a></li>
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<li><a href="#results">Viewing Results</a></li>
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<li><a href="#download">Downloading Strategies</a></li>
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<li><strong>Result:</strong> GA naturally evolves toward robust, non-overfitted strategies</li>
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</ul>
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<h3 id="montecarlo">🎲 Monte Carlo Simulation</h3>
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<p>Monte Carlo simulation is a powerful risk analysis tool that tests strategy robustness by randomly shuffling
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the order of trades thousands of times.</p>
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<div class="alert alert-info">
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<strong>Why Use Monte Carlo?</strong> It reveals whether your strategy's performance is due to genuine edge
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or just lucky trade sequencing. A robust strategy should show consistent positive returns across most
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simulations.
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</div>
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<h4>How It Works</h4>
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<ol>
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<li><strong>Trade Extraction:</strong> All trades from the backtest are collected</li>
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<li><strong>Random Shuffling:</strong> Trades are randomly reordered (Fisher-Yates algorithm)</li>
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<li><strong>Equity Calculation:</strong> Account balance is recalculated for each shuffle</li>
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<li><strong>Statistical Analysis:</strong> Results are analyzed across thousands of iterations</li>
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<li><strong>Risk Assessment:</strong> Probability distributions and risk metrics are calculated</li>
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</ol>
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<h4>Configuration</h4>
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<table>
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<thead>
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<tr>
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<th>Parameter</th>
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<th>Default</th>
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<th>Range</th>
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<th>Description</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Enable Monte Carlo</td>
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<td>Off</td>
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<td>On/Off</td>
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<td>Activate Monte Carlo analysis</td>
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</tr>
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<tr>
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<td>Iterations</td>
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<td>1,000</td>
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<td>100-10,000</td>
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<td>Number of random shuffles</td>
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</tr>
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<tr>
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<td>Risk of Ruin Threshold</td>
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<td>20%</td>
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<td>10-50%</td>
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<td>Loss threshold for RoR calculation</td>
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</tr>
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</tbody>
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</table>
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<h4>Recommended Settings</h4>
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<ul>
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<li><strong>Quick Analysis:</strong> 1,000 iterations (1-2 seconds)</li>
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<li><strong>Standard Analysis:</strong> 5,000 iterations (3-4 seconds)</li>
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<li><strong>Thorough Analysis:</strong> 10,000 iterations (6-8 seconds)</li>
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</ul>
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<h4>Requirements</h4>
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<ul>
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<li>Minimum 20 trades for meaningful results</li>
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<li>More trades = more accurate analysis</li>
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<li>Enable before generating strategies</li>
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</ul>
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<h4>Understanding the Results</h4>
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<p>When you click the "🎲 MC" button on a strategy card, a professional modal displays:</p>
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<h5>Risk Assessment Banner</h5>
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<table>
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<thead>
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<tr>
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<th>Risk Level</th>
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<th>RoR Range</th>
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<th>Meaning</th>
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<th>Recommendation</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>✅ LOW RISK</td>
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<td>< 5%</td>
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<td>Excellent robustness</td>
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<td>Safe to trade</td>
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</tr>
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<tr>
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<td>⚠️ MODERATE RISK</td>
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<td>5-15%</td>
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<td>Acceptable variability</td>
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<td>Monitor closely</td>
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</tr>
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<tr>
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<td>❌ HIGH RISK</td>
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<td>> 15%</td>
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<td>High variance</td>
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<td>Reduce position size</td>
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</tr>
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</tbody>
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</table>
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<h5>Key Metrics</h5>
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<ul>
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<li><strong>Expected Return:</strong> Average outcome across all simulations (more reliable than single
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backtest)</li>
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<li><strong>Risk of Ruin:</strong> Probability of losing threshold % of capital (lower is better)</li>
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<li><strong>Standard Deviation:</strong> Measure of result variability (lower = more consistent)</li>
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<li><strong>Percentiles:</strong> Distribution of outcomes (5th, 25th, 50th, 75th, 95th)</li>
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<li><strong>Confidence Intervals:</strong> Range where 90% or 50% of outcomes fall</li>
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</ul>
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<h5>Equity Distribution Histogram</h5>
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<p>The histogram shows the distribution of final equity with color-coded bars:</p>
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<ul>
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<li><strong style="color: #f56565;">Red bars:</strong> Worst 5% of outcomes (below 5th percentile)</li>
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<li><strong style="color: #ed8936;">Orange bars:</strong> Below average (5th-25th percentile)</li>
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<li><strong style="color: #48bb78;">Green bars:</strong> Typical range (25th-75th percentile)</li>
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<li><strong style="color: #38b2ac;">Teal bars:</strong> Best outcomes (above 75th percentile)</li>
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</ul>
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<h5>What to Look For</h5>
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<ul>
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<li><strong>Normal distribution:</strong> Bell curve shape is ideal</li>
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<li><strong>Narrow spread:</strong> Consistent results (safer)</li>
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<li><strong>Positive 5th percentile:</strong> Even worst case is profitable</li>
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<li><strong>Low RoR:</strong> Less than 10% is good, less than 5% is excellent</li>
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</ul>
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<div class="alert alert-warning">
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<strong>Warning Signs:</strong> Very wide distribution, negative 25th percentile, high risk of ruin (>
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20%), or bimodal distribution (two peaks) indicate a risky strategy.
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</div>
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<h4>Best Practices</h4>
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<h5>Before Trading:</h5>
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<ul>
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<li>Run Monte Carlo on all strategies</li>
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<li>Only trade strategies with RoR < 10%</li>
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<li>Check 5th percentile is acceptable</li>
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<li>Verify normal distribution shape</li>
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</ul>
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<h5>Position Sizing:</h5>
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<ul>
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<li><strong>Low Risk (< 5% RoR):</strong> Standard position size</li>
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<li><strong>Moderate Risk (5-15% RoR):</strong> Reduce position by 50%</li>
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<li><strong>High Risk (> 15% RoR):</strong> Avoid or use micro lots</li>
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</ul>
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<h5>Ongoing Monitoring:</h5>
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<ul>
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<li>Re-run Monte Carlo monthly with fresh data</li>
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<li>Compare live results to MC predictions</li>
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<li>Stop trading if results fall below 5th percentile</li>
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<li>Adjust position size based on actual variance</li>
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</ul>
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<h2 id="generate">🎯 Generating Strategies</h2>
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<ol>
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<li>Review your settings</li>
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@@ -500,6 +657,8 @@
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<h3>Get Help</h3>
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<p><strong>📧 Email:</strong> <a href="mailto:fxmathsolution@gmail.com">fxmathsolution@gmail.com</a></p>
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<p><strong>💬 Telegram:</strong> <a href="https://t.me/FxMath" target="_blank">https://t.me/FxMath</a></p>
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<p><strong>👥 Telegram Group:</strong> <a href="https://t.me/FxMathQuant"
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target="_blank">https://t.me/FxMathQuant</a></p>
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<p style="margin-top: 15px; font-size: 0.9em;">Response time: 24-48 hours via email, faster on Telegram</p>
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</div>
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