3.7 KiB
3.7 KiB
Back-Pedal Strategies
This directory contains alternative implementations and experimental trading strategies. These are variations or earlier versions of strategies that may be used for comparison, testing, or as fallback options.
Directory Structure
back-pedal/
├── RSIScalpingEURUSD/ # RSI Scalping for EUR/USD
├── RSIScalpingXAGUSD/ # RSI Scalping for Silver (XAG/USD)
├── RSIScalpingAPPL/ # RSI Scalping for Apple Stock
├── RSIReversalAsianAUDUSD/ # RSI Reversal for AUD/USD (Asian session)
├── RSIReversalAsianEURUSD/ # RSI Reversal for EUR/USD (Asian session)
└── RSIFollowReverseEMACrossOverBTCUSD/ # Multi-strategy for Bitcoin
Available Strategies
1. RSIScalpingEURUSD
- Instrument: EUR/USD
- Strategy: RSI-based scalping
- Performance: See
test-balance.png
2. RSIScalpingXAGUSD
- Instrument: Silver (XAG/USD)
- Strategy: RSI scalping optimized for silver
- Performance: See
test-balance.png
3. RSIScalpingAPPL
- Instrument: Apple Stock (AAPL)
- Strategy: RSI scalping for stock trading
- Status: In development
4. RSIReversalAsianAUDUSD
- Instrument: AUD/USD
- Strategy: RSI reversal during Asian trading session
- Time Window: Optimized for Asian session hours
- Performance: See
test-balance.png
5. RSIReversalAsianEURUSD
- Instrument: EUR/USD
- Strategy: RSI reversal during Asian trading session
- Time Window: Optimized for Asian session hours
- Performance: See
test-balance.jpg
6. RSIFollowReverseEMACrossOverBTCUSD
- Instrument: Bitcoin (BTC/USD)
- Strategy: Multi-strategy system combining:
- RSI Follow Strategy
- RSI Reverse Strategy
- EMA Cross Strategy
- Performance: See
test-balance.jpg
Purpose
These strategies serve as:
- Alternative Implementations: Different parameter sets or logic variations
- Testing Ground: Experimental features and modifications
- Comparison Baseline: Reference implementations for performance comparison
- Fallback Options: Backup strategies when primary strategies need adjustment
Differences from Frontline
The strategies in this directory may differ from the frontline/ versions in:
- Parameter optimization
- Entry/exit logic variations
- Risk management approaches
- Time window configurations
- Instrument-specific adaptations
Usage Notes
⚠️ Important: These are experimental/alternative strategies. Always:
- Test thoroughly on demo accounts
- Compare performance with frontline strategies
- Understand the differences before deployment
- Monitor closely if used in live trading
Performance Images
All strategies include test-balance.png or test-balance.jpg files showing:
- Equity curve over time
- Drawdown periods
- Trade distribution
- Performance metrics
Related Directories
../frontline/: Production-ready strategies (recommended for live trading)../ai/: Machine learning-based strategies../backtesting/: Backtesting frameworks
Disclaimer
These strategies are provided for research and educational purposes. Past performance does not guarantee future results. Always use appropriate risk management and test thoroughly before live trading.
Last Updated: 2025-01-05




