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✅ Phase 1 Core Trading Logic - COMPLETE (100%) - All core trading functions implemented and tested - Pattern detection working (OB, FVG, BOS, Liquidity Sweeps) - Risk management system functional (1% risk per trade) - Multi-timeframe analysis operational - Trade execution logic complete - Strategy Tester validation successful 📚 Development Workflow Framework - NEW - Complete MT5 EA development workflow documentation - 4-tier testing protocol (Unit → Integration → Strategy → Live Demo) - Compilation automation and validation scripts - Feature branch methodology for incremental development - Performance regression testing framework - Standardized test datasets for consistent backtesting 🧪 Testing Infrastructure - NEW - Baseline testing scripts and procedures - Pattern validation framework - Risk management stress testing - Quick monitoring and troubleshooting guides - Comprehensive testing documentation 📊 Updated Implementation Plan - Corrected completion status from 45% to 85% - Phase 1 marked as complete with all tasks checked off - Updated priority focus to Phase 3 (Visualization) or Phase 4 (Performance Tracking) 🔧 Technical Improvements - Updated SniperEA.mq5 with debug mode enabled - Compiled EA successfully (85KB .ex5 file) - Validated all core functions through Strategy Tester - Clean initialization and deinitialization confirmed Next: Focus on Phase 3 (Chart Visualization) or Phase 4 (Performance Tracking)
279 lines
8.4 KiB
Markdown
279 lines
8.4 KiB
Markdown
# Sniper EA Risk Management Stress Testing Framework
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## 🎯 Objective
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Comprehensively validate risk management systems under various market conditions and stress scenarios to ensure capital protection and consistent risk application.
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## 🔍 Risk Management Components to Test
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### 1. Position Sizing Validation
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**Function**: `CalculatePositionSize()`
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**Test Parameters**:
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```
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Account Balances: $1,000, $10,000, $100,000
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Risk Percentages: 0.5%, 1.0%, 2.0%
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Stop Loss Distances: 10, 20, 50, 100 pips
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Symbols: EURUSD, GBPUSD, XAUUSD, USDJPY
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```
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**Validation Criteria**:
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- Exact 1% risk per trade (or specified percentage)
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- Proper lot size normalization to broker requirements
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- Minimum/maximum lot size compliance
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- Accurate pip value calculations across different symbols
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### 2. Risk Amount Calculation
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**Function**: `CalculateRiskAmount()`
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**Test Scenarios**:
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```
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Scenario 1: Standard Account ($10,000, 1% risk = $100)
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Scenario 2: Small Account ($1,000, 1% risk = $10)
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Scenario 3: Large Account ($100,000, 1% risk = $1,000)
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Scenario 4: Edge Case (Account < $500)
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```
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**Expected Results**:
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- Risk amount = Account Balance × (Risk% / 100)
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- Proper handling of edge cases
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- Validation of risk percentage limits (0.1% - 10%)
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### 3. Position Limits Enforcement
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**Test Parameters**:
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```
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MaxPositionsPerSymbol: 3
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MaxTotalPositions: 10
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Test Symbols: 8 major pairs
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Concurrent Signal Generation: Simulate multiple simultaneous signals
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```
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**Stress Test Scenarios**:
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- Generate 15+ simultaneous signals across all symbols
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- Verify only 10 total positions are opened
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- Confirm max 3 positions per symbol
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- Test position counting accuracy
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### 4. Margin Requirement Validation
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**Function**: `CalculateMarginRequired()`
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**Test Cases**:
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```
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High Leverage (1:500): Verify low margin requirements
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Low Leverage (1:50): Verify higher margin requirements
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Different Symbols: Test margin calculations across pairs
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Large Position Sizes: Test margin for maximum lot sizes
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```
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**Validation Points**:
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- Accurate margin calculations per symbol
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- Proper leverage factor application
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- Account free margin verification before trade execution
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## 🚨 Stress Testing Scenarios
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### Stress Test 1: High Volatility Market Conditions
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**Simulation**: NFP Friday, Central Bank Announcements
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**Parameters**:
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```
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Spread Widening: 2-5x normal spreads
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Price Gaps: 20-50 pip gaps at market open
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Rapid Price Movement: 100+ pip moves in minutes
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Slippage Simulation: 3-10 pip slippage
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```
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**Risk Management Validation**:
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- Position sizing remains accurate despite volatility
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- Stop loss placement accounts for wider spreads
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- Trade execution validation under stress
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- Margin requirements adjust appropriately
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### Stress Test 2: Multiple Simultaneous Signals
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**Scenario**: All 8 symbols generate signals within 1 minute
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**Test Process**:
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```
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1. Simulate 20+ simultaneous pattern detections
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2. Verify position limit enforcement
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3. Check risk calculation accuracy under load
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4. Validate trade execution prioritization
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5. Confirm proper signal rejection when limits reached
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```
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**Expected Behavior**:
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- Only 10 positions opened (total limit)
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- Max 3 positions per symbol
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- Proper signal prioritization (first valid signals processed)
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- Accurate risk calculation for each position
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### Stress Test 3: Account Drawdown Scenarios
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**Test Conditions**:
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```
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Starting Balance: $10,000
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Drawdown Levels: 5%, 10%, 15%, 20%
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Risk Percentage: Fixed at 1%
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Position Management: Test break-even and trailing stops
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```
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**Validation Points**:
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- Risk amount adjusts with account balance changes
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- Position sizing scales appropriately
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- No over-leveraging during drawdown periods
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- Proper account equity vs. balance calculations
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### Stress Test 4: Extreme Market Conditions
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**Scenarios**:
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```
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Market Crash: -500 pip moves in major pairs
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Flash Crash: Rapid price spikes and reversals
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Weekend Gaps: 50-100 pip gaps at market open
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Low Liquidity: Thin market conditions
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```
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**Risk Controls to Validate**:
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- Stop loss execution during gaps
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- Position sizing adjustments for volatility
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- Trade execution validation in thin markets
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- Margin call prevention mechanisms
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## 📊 Test Execution Framework
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### Phase 1: Unit Testing (Individual Functions)
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```
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Test Duration: 2-3 hours
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Method: Isolated function testing with various inputs
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For CalculatePositionSize():
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- Test 100+ combinations of account size, risk%, SL distance
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- Verify calculations against manual calculations
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- Test edge cases (very small/large values)
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- Validate lot size normalization
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For CalculateRiskAmount():
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- Test various account balances and risk percentages
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- Verify percentage calculations
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- Test boundary conditions
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- Validate error handling
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```
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### Phase 2: Integration Testing (Combined Functions)
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```
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Test Duration: 4-6 hours
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Method: Strategy Tester with controlled scenarios
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Test Process:
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1. Set up multiple test scenarios in Strategy Tester
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2. Force multiple simultaneous signals
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3. Monitor position opening behavior
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4. Verify risk calculations in real trading context
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5. Test position limit enforcement
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```
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### Phase 3: Stress Testing (Extreme Conditions)
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```
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Test Duration: 6-8 hours
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Method: Historical data from high-volatility periods
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Test Periods:
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- March 2020 (COVID crash)
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- Brexit referendum (June 2016)
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- Swiss Franc unpegging (January 2015)
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- NFP releases with high volatility
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Validation:
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- Risk management holds under extreme conditions
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- No position sizing errors during volatility
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- Proper handling of gaps and slippage
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- Margin requirements remain accurate
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```
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## 📋 Risk Management Test Results Template
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```
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=== RISK MANAGEMENT STRESS TEST RESULTS ===
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Test Date: ___________
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Test Duration: 3 phases over 2 days
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Account Size: $10,000 (baseline)
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POSITION SIZING ACCURACY:
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- 1% Risk Compliance: ____% accuracy (___/__ trades)
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- Lot Size Normalization: [ ] Pass [ ] Fail
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- Min/Max Lot Compliance: [ ] Pass [ ] Fail
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- Cross-Symbol Accuracy: ____% (___/__ symbols)
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POSITION LIMITS ENFORCEMENT:
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- Max Total Positions (10): [ ] Enforced [ ] Violated
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- Max Per Symbol (3): [ ] Enforced [ ] Violated
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- Simultaneous Signal Handling: [ ] Pass [ ] Fail
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- Position Counting Accuracy: ____% (___/__ tests)
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MARGIN CALCULATIONS:
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- Margin Requirement Accuracy: ____% (___/__ tests)
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- Free Margin Validation: [ ] Pass [ ] Fail
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- Leverage Factor Application: [ ] Pass [ ] Fail
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- Symbol-Specific Calculations: [ ] Pass [ ] Fail
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STRESS TEST RESULTS:
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High Volatility Performance:
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- Risk Compliance During Stress: ____% (___/__ trades)
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- Position Sizing Stability: [ ] Stable [ ] Issues
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- Margin Requirement Accuracy: [ ] Pass [ ] Fail
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Multiple Signal Handling:
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- 20 Simultaneous Signals: [ ] Handled Correctly [ ] Issues
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- Position Limit Enforcement: [ ] Pass [ ] Fail
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- Signal Prioritization: [ ] Logical [ ] Issues
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Account Drawdown Scenarios:
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- Risk Adjustment Accuracy: ____% (___/__ scenarios)
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- Position Sizing Scaling: [ ] Correct [ ] Issues
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- Equity vs Balance Handling: [ ] Pass [ ] Fail
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CRITICAL ISSUES IDENTIFIED:
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_________________________________
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_________________________________
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PERFORMANCE UNDER STRESS:
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[ ] EXCELLENT - All systems performed flawlessly
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[ ] GOOD - Minor issues, easily addressable
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[ ] ACCEPTABLE - Some issues, require attention
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[ ] POOR - Major issues, immediate fixes required
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RECOMMENDATIONS:
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_________________________________
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_________________________________
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```
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## 🔧 Common Risk Management Issues & Solutions
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### Issue: Inconsistent Position Sizing
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**Symptoms**: Trades risk more or less than 1%
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**Solutions**:
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- Verify pip value calculations
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- Check lot size normalization
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- Validate stop loss distance calculations
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- Review symbol specifications
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### Issue: Position Limits Not Enforced
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**Symptoms**: More than 10 total or 3 per symbol positions
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**Solutions**:
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- Review position counting logic
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- Check position filtering by magic number
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- Validate symbol-specific position tracking
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- Test concurrent signal handling
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### Issue: Margin Calculation Errors
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**Symptoms**: Insufficient margin errors or over-leveraging
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**Solutions**:
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- Verify leverage factor application
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- Check symbol-specific margin requirements
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- Validate account information retrieval
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- Review margin calculation formula
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### Issue: Poor Performance Under Stress
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**Symptoms**: Risk management fails during high volatility
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**Solutions**:
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- Add volatility-based adjustments
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- Implement additional safety checks
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- Review slippage and spread handling
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- Add emergency position closure logic
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---
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**Execute this stress testing framework after pattern validation to ensure robust risk management before implementing the development workflow.**
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