SFP 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 24, 07:00 | Jan 27, 01:00 | Long | $0.3794 | $0.3561 | -6.14% |
| Jan 20, 08:00 | Jan 22, 07:00 | Long | $0.3571 | $0.3576 | +0.14% |
| Jan 19, 00:00 | Jan 19, 14:00 | Long | $0.3502 | $0.3672 | +4.85% |
| Jan 16, 03:00 | Jan 16, 09:00 | Long | $0.3635 | $0.3690 | +1.51% |
| Jan 15, 06:00 | Jan 15, 13:00 | Long | $0.3650 | $0.3747 | +2.66% |
| Jan 10, 05:00 | Jan 13, 07:00 | Long | $0.3585 | $0.3658 | +2.04% |
| Jan 8, 00:00 | Jan 8, 20:00 | Long | $0.3439 | $0.3529 | +2.62% |
| Dec 28, 15:00 | Dec 29, 23:00 | Long | $0.3118 | $0.3165 | +1.51% |
| Dec 25, 23:00 | Dec 27, 06:00 | Long | $0.3062 | $0.3105 | +1.4% |
| Dec 24, 08:00 | Dec 24, 21:00 | Long | $0.3022 | $0.3081 | +1.95% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
This setup outperforms the average RSI configuration by maintaining a 62.96% success ratio. The edge is statistically significant.
At 1.53x, the risk-reward balance is healthy. Consistent execution will compound returns.
With 27 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
This RSI configuration excels in trending SFP markets. Avoid during extended consolidation.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
The algorithm capitalizes on SFP's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for SFP with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 62.96% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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