# Performance Analysis & Optimization Studies **Data-driven insights for trading system optimization.** This directory contains performance analyses, blocked signals tracking, profit projections, and diagnostic results. All files focus on measuring system performance and identifying optimization opportunities. --- ## πŸ“Š Key Documents ### **Performance Reviews** - `PROFIT_PROJECTION_NOV24_2025.md` - Monthly profit projections and compound growth analysis - `QUALITY_90_TP1_ONLY_ANALYSIS.md` - Analysis of quality 90+ signals with TP1-only exits - `SIGNAL_QUALITY_TEST_RESULTS.md` - Signal quality scoring validation results ### **Blocked Signals Analysis** - `BLOCKED_SIGNALS_TRACKING.md` - System for tracking signals blocked by quality filters - `BLOCKED_SIGNAL_ANALYSIS_DEC2.md` - December 2 analysis of blocked signals - `BLOCKED_SIGNAL_CORRECTED_ANALYSIS_DEC2.md` - Corrected analysis after data quality fixes ### **Adaptive Leverage** - `LONG_ADAPTIVE_LEVERAGE_VERIFICATION.md` - Verification of LONG direction adaptive leverage - `SHORT_ADAPTIVE_LEVERAGE_IMPLEMENTED.md` - SHORT direction adaptive leverage implementation ### **System Health** - `DIAGNOSTIC_RESULTS_SUMMARY.md` - Comprehensive diagnostic test results - `SAFETY_ANALYSIS.md` - Risk management and safety parameter analysis - `RECOVERY_PLAN.md` - System recovery procedures after incidents - `ANALYTICS_STATUS_AND_NEXT_STEPS.md` - Analytics dashboard status and roadmap ### **Strategic Planning** - `CLEANUP_PLAN.md` - Documentation reorganization strategy (precursor to this structure) --- ## πŸ“ˆ Analysis Workflow **1. Data Collection:** - Trades executed with quality scores, ATR, ADX, RSI metrics - Blocked signals saved to BlockedSignal table for comparison - Position Manager tracks MAE (Max Adverse Excursion) and MFE (Max Favorable Excursion) **2. Analysis Queries:** ```sql -- Win rate by quality tier SELECT CASE WHEN signalQualityScore >= 95 THEN '95-100' WHEN signalQualityScore >= 90 THEN '90-94' WHEN signalQualityScore >= 85 THEN '85-89' ELSE '60-84' END as tier, COUNT(*) as trades, ROUND(100.0 * SUM(CASE WHEN realizedPnL > 0 THEN 1 ELSE 0 END) / COUNT(*), 1) as win_rate, ROUND(SUM(realizedPnL), 2) as total_pnl FROM "Trade" WHERE exitReason IS NOT NULL GROUP BY tier ORDER BY MIN(signalQualityScore) DESC; ``` **3. Optimization:** - Compare blocked vs executed signal performance - Identify quality threshold sweet spots - Validate parameter changes with 50-100 trade samples - Document findings in this directory --- ## 🎯 Current Focus (Dec 2025) **Active Analyses:** - Quality threshold optimization (LONG 90, SHORT 95 under evaluation) - Adaptive leverage performance tracking (10x vs 5x tiers) - Blocked signal win rate comparison (would-be winners vs actual blocks) - Runner system effectiveness (40% runner with ATR trailing stop) **Upcoming:** - Multi-timeframe comparison (5min vs 15min vs 1H) - MA crossover pattern validation (ADX weakβ†’strong hypothesis) - Smart Entry Validation Queue effectiveness tracking --- ## πŸ“ Adding New Analyses **Template Structure:** ```markdown # [Analysis Title] **Date:** [YYYY-MM-DD] **Data Range:** [Date range or trade count] **Objective:** [What you're analyzing] ## Executive Summary [2-3 sentence key findings] ## Methodology [How data was collected, SQL queries, filters applied] ## Results [Tables, charts, statistics] ## Insights [What the data means, patterns discovered] ## Recommendations [Specific actions, parameter changes, threshold adjustments] ## Verification Required [How to test recommendations, sample sizes needed] ``` **Naming Convention:** - `[TOPIC]_ANALYSIS_[DATE].md` for dated analyses - `[FEATURE]_VERIFICATION.md` for feature validation - `[METRIC]_TRACKING.md` for ongoing measurement --- ## πŸ” Finding Specific Analyses **By Topic:** - Quality scores β†’ `SIGNAL_QUALITY_*`, `QUALITY_90_*` - Leverage β†’ `*_ADAPTIVE_LEVERAGE_*` - Blocked signals β†’ `BLOCKED_SIGNAL_*` - System health β†’ `DIAGNOSTIC_*`, `SAFETY_*`, `RECOVERY_*` **By Date:** - All files include creation dates in content - Most recent: December 2025 blocked signal analyses - Historical: CLEANUP_PLAN.md (documentation strategy) --- ## ⚠️ Important Notes **Data Integrity:** - Always filter out `signalSource='manual'` for indicator analysis - Use `WHERE timeframe='5'` for production signal analysis - Exclude `blockReason='DATA_COLLECTION_ONLY'` for execution analysis **Sample Sizes:** - Minimum 50 trades for statistical validity - Minimum 20 blocked signals for threshold analysis - 100+ trades preferred for major parameter changes **Real Money System:** - Every analysis affects financial outcomes - Always include "Expected Impact" section (dollar amounts) - Document both upside potential and downside risk - Require user approval for threshold changes >10 points --- See `../README.md` for overall documentation structure.