UNI RSI Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 8, 08:00 | Jan 14, 16:00 | Long | $5.5040 | $5.7400 | +4.29% |
| Dec 30, 20:00 | Jan 3, 00:00 | Long | $5.9230 | $6.0900 | +2.82% |
| Dec 23, 12:00 | Dec 28, 08:00 | Long | $5.7410 | $6.2680 | +9.18% |
| Dec 5, 12:00 | Dec 20, 08:00 | Long | $5.7610 | $5.6850 | -1.32% |
| Nov 13, 08:00 | Dec 3, 12:00 | Long | $7.8260 | $6.0480 | -22.72% |
| Oct 29, 08:00 | Nov 7, 04:00 | Long | $6.3020 | $5.3740 | -14.73% |
| Oct 17, 00:00 | Oct 20, 20:00 | Long | $6.3470 | $6.3480 | +0.02% |
| Oct 7, 16:00 | Oct 13, 04:00 | Long | $7.7600 | $6.5800 | -15.21% |
| Sep 20, 08:00 | Oct 2, 12:00 | Long | $9.1400 | $8.1860 | -10.44% |
| Sep 14, 12:00 | Sep 18, 00:00 | Long | $9.4740 | $9.5960 | +1.29% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (41.67%) on 4h indicates signal noise. Higher timeframes may improve accuracy.
Low PF (0.25) combined with this win rate makes the setup high-variance. Trade cautiously.
At 12 trades, the algorithm filters noise while capturing significant UNI moves.
The 4h timeframe reduces overnight gap risk while capturing meaningful moves.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for UNI with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 4h charts.
- Best paired with UNI.
- Automated execution recommended.
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