UNI 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 27, 23:00 | Long | $4.9350 | $4.8140 | -2.45% |
| Jan 20, 09:00 | Jan 21, 06:00 | Long | $4.9020 | $4.9280 | +0.53% |
| Jan 18, 05:00 | Jan 19, 14:00 | Long | $5.3200 | $4.9970 | -6.07% |
| Jan 15, 03:00 | Jan 17, 05:00 | Long | $5.5060 | $5.3530 | -2.78% |
| Jan 7, 14:00 | Jan 13, 11:00 | Long | $5.7500 | $5.4230 | -5.69% |
| Jan 3, 07:00 | Jan 3, 21:00 | Long | $5.7570 | $5.9070 | +2.61% |
| Dec 29, 16:00 | Jan 1, 18:00 | Long | $6.0250 | $5.7850 | -3.98% |
| Dec 26, 20:00 | Dec 27, 05:00 | Long | $5.8310 | $5.9640 | +2.28% |
| Dec 22, 21:00 | Dec 24, 22:00 | Long | $5.9980 | $5.7930 | -3.42% |
| Dec 21, 23:00 | Dec 22, 07:00 | Long | $6.1000 | $6.3260 | +3.7% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 53.57% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
At 0.75x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 28 trade count provides excellent statistical significance for performance evaluation.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
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
- RSI generates clear entry/exit signals.
- No parameter optimization needed for UNI.
- Robust across multiple market regimes.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us