FF RSI Strategy (1h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 27, 05:00 | Jan 28, 03:00 | Long | $0.0897 | $0.0929 | +3.54% |
| Jan 20, 19:00 | Jan 21, 08:00 | Long | $0.0787 | $0.0869 | +10.54% |
| Jan 14, 12:00 | Jan 19, 14:00 | Long | $0.0873 | $0.0793 | -9.24% |
| Jan 12, 09:00 | Jan 13, 11:00 | Long | $0.0864 | $0.0879 | +1.71% |
| Jan 6, 17:00 | Jan 10, 14:00 | Long | $0.0922 | $0.0894 | -3.05% |
| Dec 27, 12:00 | Dec 31, 08:00 | Long | $0.0949 | $0.0889 | -6.35% |
| Dec 26, 08:00 | Dec 27, 06:00 | Long | $0.0946 | $0.0957 | +1.14% |
| Dec 23, 13:00 | Dec 25, 03:00 | Long | $0.0936 | $0.0953 | +1.78% |
| Dec 20, 21:00 | Dec 22, 03:00 | Long | $0.0943 | $0.0950 | +0.67% |
| Dec 17, 03:00 | Dec 19, 15:00 | Long | $0.1006 | $0.0947 | -5.87% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
This setup outperforms the average RSI configuration by maintaining a 58.33% success ratio. The edge is statistically significant.
Low profit factor (1.11) indicates potential parameter optimization is needed for FF.
At 24 trades, the algorithm filters noise while capturing significant FF moves.
This RSI configuration excels in trending FF markets. Avoid during extended consolidation.
Consider testing Bollinger Band periods of 18-22 candles for potential FF optimization.
The 1h chart captures FF's characteristic momentum cycles effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for FF with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on FF.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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