Estimated Win Rate
78.4%
Based on flow score threshold ≥ 70
Profit Factor
2.35
Gross Gains vs Risk Ratio
Avg Points Gain / Trade
+14.2 pts
Average target realization
Total Signals Recorded
0
Stored in PostgreSQL DB
Quantitative Strategy Performance Matrix
5 Core Algorithmic Strategies| Strategy Engine | Total Trades | Wins / Losses | Win Rate % | Profit Factor | Avg Points Gain | Total Realized Pts |
|---|---|---|---|---|---|---|
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Multi-Asset Execution Accuracy Breakdown
| Active Instrument | Total Signals | Average Flow Score | Target 1 Success Rate | Target 2 Success Rate | Asset Win Rate | Net Points PnL |
|---|---|---|---|---|---|---|
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AI Trade Diagnostics & Profitability Optimizer
ML BlackBox EngineWinning Trade DNA
Success PatternsOptimal Confluence Breakouts83.3% Win
Trades executed during Morning Expansion (10:00-11:30) with Flow Score ≥ 70 generate highest average point realization (+21.4 pts).
Loss Bottlenecks (Problem Finder)
Failure ScenariosMidday Chop Vulnerability65% SL Hits
Low volume consolidation between 11:30 and 13:30 triggers premature trailing SL shakeouts before true continuation.
Actionable Solutions
Profit BoostersPause Scanner in Midday Chop (11:30-13:30)
Skipping trades during midday consolidation preserves capital, saving an estimated +₹4,200 per cycle and boosting win-rate by +14.2%.
Market Session Phase Efficiency Breakdown
| Session Phase | Total Trades | Phase Win Rate % | Net Realized PnL |
|---|---|---|---|
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