MT5-EA-Sniper-Strategy/docs/RISK_MANAGEMENT_STRESS_TEST.md

Sniper EA Risk Management Stress Testing Framework

🎯 Objective

Comprehensively validate risk management systems under various market conditions and stress scenarios to ensure capital protection and consistent risk application.

🔍 Risk Management Components to Test

1. Position Sizing Validation

Function: CalculatePositionSize() Test Parameters:

Account Balances: $1,000, $10,000, $100,000
Risk Percentages: 0.5%, 1.0%, 2.0%
Stop Loss Distances: 10, 20, 50, 100 pips
Symbols: EURUSD, GBPUSD, XAUUSD, USDJPY

Validation Criteria:

• Exact 1% risk per trade (or specified percentage)
• Proper lot size normalization to broker requirements
• Minimum/maximum lot size compliance
• Accurate pip value calculations across different symbols

2. Risk Amount Calculation

Function: CalculateRiskAmount() Test Scenarios:

Scenario 1: Standard Account ($10,000, 1% risk = $100)
Scenario 2: Small Account ($1,000, 1% risk = $10)
Scenario 3: Large Account ($100,000, 1% risk = $1,000)
Scenario 4: Edge Case (Account < $500)

Expected Results:

• Risk amount = Account Balance × (Risk% / 100)
• Proper handling of edge cases
• Validation of risk percentage limits (0.1% - 10%)

3. Position Limits Enforcement

Test Parameters:

MaxPositionsPerSymbol: 3
MaxTotalPositions: 10
Test Symbols: 8 major pairs
Concurrent Signal Generation: Simulate multiple simultaneous signals

Stress Test Scenarios:

• Generate 15+ simultaneous signals across all symbols
• Verify only 10 total positions are opened
• Confirm max 3 positions per symbol
• Test position counting accuracy

4. Margin Requirement Validation

Function: CalculateMarginRequired() Test Cases:

High Leverage (1:500): Verify low margin requirements
Low Leverage (1:50): Verify higher margin requirements
Different Symbols: Test margin calculations across pairs
Large Position Sizes: Test margin for maximum lot sizes

Validation Points:

• Accurate margin calculations per symbol
• Proper leverage factor application
• Account free margin verification before trade execution

🚨 Stress Testing Scenarios

Stress Test 1: High Volatility Market Conditions

Simulation: NFP Friday, Central Bank Announcements Parameters:

Spread Widening: 2-5x normal spreads
Price Gaps: 20-50 pip gaps at market open
Rapid Price Movement: 100+ pip moves in minutes
Slippage Simulation: 3-10 pip slippage

Risk Management Validation:

• Position sizing remains accurate despite volatility
• Stop loss placement accounts for wider spreads
• Trade execution validation under stress
• Margin requirements adjust appropriately

Stress Test 2: Multiple Simultaneous Signals

Scenario: All 8 symbols generate signals within 1 minute Test Process:

1. Simulate 20+ simultaneous pattern detections
2. Verify position limit enforcement
3. Check risk calculation accuracy under load
4. Validate trade execution prioritization
5. Confirm proper signal rejection when limits reached

Expected Behavior:

• Only 10 positions opened (total limit)
• Max 3 positions per symbol
• Proper signal prioritization (first valid signals processed)
• Accurate risk calculation for each position

Stress Test 3: Account Drawdown Scenarios

Test Conditions:

Starting Balance: $10,000
Drawdown Levels: 5%, 10%, 15%, 20%
Risk Percentage: Fixed at 1%
Position Management: Test break-even and trailing stops

Validation Points:

• Risk amount adjusts with account balance changes
• Position sizing scales appropriately
• No over-leveraging during drawdown periods
• Proper account equity vs. balance calculations

Stress Test 4: Extreme Market Conditions

Scenarios:

Market Crash: -500 pip moves in major pairs
Flash Crash: Rapid price spikes and reversals
Weekend Gaps: 50-100 pip gaps at market open
Low Liquidity: Thin market conditions

Risk Controls to Validate:

• Stop loss execution during gaps
• Position sizing adjustments for volatility
• Trade execution validation in thin markets
• Margin call prevention mechanisms

📊 Test Execution Framework

Phase 1: Unit Testing (Individual Functions)

Test Duration: 2-3 hours
Method: Isolated function testing with various inputs

For CalculatePositionSize():
- Test 100+ combinations of account size, risk%, SL distance
- Verify calculations against manual calculations
- Test edge cases (very small/large values)
- Validate lot size normalization

For CalculateRiskAmount():
- Test various account balances and risk percentages
- Verify percentage calculations
- Test boundary conditions
- Validate error handling

Phase 2: Integration Testing (Combined Functions)

Test Duration: 4-6 hours
Method: Strategy Tester with controlled scenarios

Test Process:
1. Set up multiple test scenarios in Strategy Tester
2. Force multiple simultaneous signals
3. Monitor position opening behavior
4. Verify risk calculations in real trading context
5. Test position limit enforcement

Phase 3: Stress Testing (Extreme Conditions)

Test Duration: 6-8 hours
Method: Historical data from high-volatility periods

Test Periods:
- March 2020 (COVID crash)
- Brexit referendum (June 2016)
- Swiss Franc unpegging (January 2015)
- NFP releases with high volatility

Validation:
- Risk management holds under extreme conditions
- No position sizing errors during volatility
- Proper handling of gaps and slippage
- Margin requirements remain accurate

📋 Risk Management Test Results Template

=== RISK MANAGEMENT STRESS TEST RESULTS ===
Test Date: ___________
Test Duration: 3 phases over 2 days
Account Size: $10,000 (baseline)

POSITION SIZING ACCURACY:
- 1% Risk Compliance: ____% accuracy (___/__ trades)
- Lot Size Normalization: [ ] Pass [ ] Fail
- Min/Max Lot Compliance: [ ] Pass [ ] Fail
- Cross-Symbol Accuracy: ____% (___/__ symbols)

POSITION LIMITS ENFORCEMENT:
- Max Total Positions (10): [ ] Enforced [ ] Violated
- Max Per Symbol (3): [ ] Enforced [ ] Violated
- Simultaneous Signal Handling: [ ] Pass [ ] Fail
- Position Counting Accuracy: ____% (___/__ tests)

MARGIN CALCULATIONS:
- Margin Requirement Accuracy: ____% (___/__ tests)
- Free Margin Validation: [ ] Pass [ ] Fail
- Leverage Factor Application: [ ] Pass [ ] Fail
- Symbol-Specific Calculations: [ ] Pass [ ] Fail

STRESS TEST RESULTS:
High Volatility Performance:
- Risk Compliance During Stress: ____% (___/__ trades)
- Position Sizing Stability: [ ] Stable [ ] Issues
- Margin Requirement Accuracy: [ ] Pass [ ] Fail

Multiple Signal Handling:
- 20 Simultaneous Signals: [ ] Handled Correctly [ ] Issues
- Position Limit Enforcement: [ ] Pass [ ] Fail
- Signal Prioritization: [ ] Logical [ ] Issues

Account Drawdown Scenarios:
- Risk Adjustment Accuracy: ____% (___/__ scenarios)
- Position Sizing Scaling: [ ] Correct [ ] Issues
- Equity vs Balance Handling: [ ] Pass [ ] Fail

CRITICAL ISSUES IDENTIFIED:
_________________________________
_________________________________

PERFORMANCE UNDER STRESS:
[ ] EXCELLENT - All systems performed flawlessly
[ ] GOOD - Minor issues, easily addressable
[ ] ACCEPTABLE - Some issues, require attention
[ ] POOR - Major issues, immediate fixes required

RECOMMENDATIONS:
_________________________________
_________________________________

🔧 Common Risk Management Issues & Solutions

Issue: Inconsistent Position Sizing

Symptoms: Trades risk more or less than 1% Solutions:

• Verify pip value calculations
• Check lot size normalization
• Validate stop loss distance calculations
• Review symbol specifications

Issue: Position Limits Not Enforced

Symptoms: More than 10 total or 3 per symbol positions Solutions:

• Review position counting logic
• Check position filtering by magic number
• Validate symbol-specific position tracking
• Test concurrent signal handling

Issue: Margin Calculation Errors

Symptoms: Insufficient margin errors or over-leveraging Solutions:

• Verify leverage factor application
• Check symbol-specific margin requirements
• Validate account information retrieval
• Review margin calculation formula

Issue: Poor Performance Under Stress

Symptoms: Risk management fails during high volatility Solutions:

• Add volatility-based adjustments
• Implement additional safety checks
• Review slippage and spread handling
• Add emergency position closure logic

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Execute this stress testing framework after pattern validation to ensure robust risk management before implementing the development workflow.