profitable-expert-advisor/lab/EAs/RSIScalpingAdaptive/OPTIMIZATION_GUIDE.md

Genetic Algorithm Optimization Guide for RSIScalpingNVDA

Recommended Optimization Strategy

Phase 1: Core RSI Parameters (Primary Focus)

These parameters directly control entry/exit signals and should be optimized first.

RSI_Period (Y - Optimize)

• Current: 14
• Recommended Range: 7-21
• Step: 1
• Rationale: Standard RSI periods. Shorter = more sensitive, longer = smoother signals

RSI_Overbought (Y - Optimize)

• Current: 19.0 (unusually low - verify if this is correct)
• Standard Range: 60.0-85.0
• Step: 2.0
• Alternative Range (if current is intentional): 15.0-30.0
• Rationale: Level where RSI indicates overbought condition for sell entries

RSI_Oversold (Y - Optimize)

• Current: 50.0 (unusually high - verify if this is correct)
• Standard Range: 15.0-40.0
• Step: 2.0
• Alternative Range (if current is intentional): 40.0-60.0
• Rationale: Level where RSI indicates oversold condition for buy entries

RSI_Target_Buy (Y - Optimize)

• Current: 71.0
• Recommended Range: 65.0-90.0
• Step: 2.0
• Rationale: Exit target for long positions. Must be > RSI_Oversold

RSI_Target_Sell (Y - Optimize)

• Current: 70.0
• Recommended Range: 10.0-35.0
• Step: 2.0
• Rationale: Exit target for short positions. Must be < RSI_Overbought

Phase 2: Risk Management Parameters

BarsToWait (Y - Optimize)

• Current: 1
• Recommended Range: 1-8
• Step: 1
• Rationale: Bars to wait before closing when RSI goes against position. Higher = more patience

TimeFrame (Y - Optimize)

• Current: 16387 (M5)
• Recommended: Test M1, M5, M15, H1
• Values:
  • M1 = 16385
  • M5 = 16387
  • M15 = 16388
  • H1 = 16390
• Rationale: Different timeframes can significantly affect scalping performance

Phase 3: Position Sizing (Optimize with Caution)

LotSize (Y - Optimize with Fixed Risk)

• Current: 50.0
• Recommended Range: 10.0-100.0
• Step: 5.0
• Note: Consider using fixed risk % instead of fixed lot size
• Rationale: Position sizing affects profitability but also risk

Fixed Parameters (Do NOT Optimize)

RSI_Applied_Price (N)

• Value: 1 (PRICE_CLOSE)
• Rationale: Standard choice, changing may not improve results significantly

MagicNumber (N)

• Value: 12345
• Rationale: Identifier only, no impact on performance

Slippage (N)

• Value: 3
• Rationale: Broker-specific, should match your actual slippage

Genetic Algorithm Settings

Recommended GA Settings:

• Optimization Criterion: Balance (or Custom: Profit Factor * Total Net Profit)
• Population Size: 50-100
• Mutation Probability: 0.1-0.2
• Crossover Probability: 0.7-0.9
• Optimization Passes: 3-5
• Forward Testing: Always use out-of-sample data

Optimization Phases:

1. Broad Search (First Pass):

   • Optimize: RSI_Period, RSI_Overbought, RSI_Oversold, RSI_Target_Buy, RSI_Target_Sell
   • Fix: BarsToWait=1, TimeFrame=M5, LotSize=50

2. Refinement (Second Pass):

   • Use best results from Phase 1
   • Optimize: BarsToWait, TimeFrame
   • Narrow ranges around Phase 1 winners

3. Fine-Tuning (Third Pass):

   • Optimize: LotSize (if needed)
   • Very narrow ranges around Phase 2 winners

Important Notes

⚠️ Current Parameter Anomaly:

• RSI_Overbought=19 and RSI_Oversold=50 are unusual
• Standard RSI ranges: Overbought 70-80, Oversold 20-30
• Verify if these are intentional or if there's a scaling issue

✅ Validation Checklist:

• Ensure RSI_Target_Buy > RSI_Oversold
• Ensure RSI_Target_Sell < RSI_Overbought
• Test on sufficient historical data (at least 6-12 months)
• Use forward testing on unseen data
• Check for overfitting (too many parameters optimized)

Example .set File Structure

RSI_Period=14||1||7||21||Y
RSI_Overbought=70.0||2.0||60.0||85.0||Y
RSI_Oversold=30.0||2.0||15.0||40.0||Y
RSI_Target_Buy=75.0||2.0||65.0||90.0||Y
RSI_Target_Sell=25.0||2.0||10.0||35.0||Y
BarsToWait=2||1||1||8||Y
TimeFrame=16387||0||16385||16390||Y
LotSize=50.0||5.0||10.0||100.0||Y
RSI_Applied_Price=1||0||1||1||N
MagicNumber=12345||0||12345||12345||N
Slippage=3||0||3||3||N