AR 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 22, 11:00 | Jan 23, 05:00 | Long | $3.5600 | $3.6100 | +1.4% |
| Jan 20, 09:00 | Jan 22, 07:00 | Long | $3.6800 | $3.6200 | -1.63% |
| Jan 19, 00:00 | Jan 19, 14:00 | Long | $3.6200 | $3.7900 | +4.7% |
| Jan 15, 00:00 | Jan 16, 08:00 | Long | $4.0500 | $4.0600 | +0.25% |
| Jan 10, 05:00 | Jan 10, 20:00 | Long | $3.7200 | $3.8200 | +2.69% |
| Jan 6, 17:00 | Jan 9, 04:00 | Long | $3.9600 | $3.8600 | -2.53% |
| Jan 5, 06:00 | Jan 5, 22:00 | Long | $3.9000 | $4.1200 | +5.64% |
| Dec 31, 00:00 | Jan 1, 07:00 | Long | $3.4700 | $3.4500 | -0.58% |
| Dec 29, 14:00 | Dec 30, 14:00 | Long | $3.5100 | $3.5400 | +0.85% |
| Dec 25, 22:00 | Dec 26, 13:00 | Long | $3.3700 | $3.4600 | +2.67% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The algorithm's 62.5% hit rate on AR suggests strong predictive capability for the current market structure.
At 0.70x, consider wider stop-losses to improve average win size on AR.
The 24 trade count reflects balanced signal generation. Quality over quantity approach.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for AR with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- RSI generates clear entry/exit signals.
- No parameter optimization needed for AR.
- Robust across multiple market regimes.
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