CATI 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 |
|---|---|---|---|---|---|
| Dec 16, 04:00 | Jan 1, 08:00 | Long | $0.0605 | $0.0622 | +2.81% |
| Dec 6, 16:00 | Dec 13, 16:00 | Long | $0.0614 | $0.0631 | +2.77% |
| Nov 13, 08:00 | Nov 17, 04:00 | Long | $0.0610 | $0.0627 | +2.79% |
| Nov 3, 00:00 | Nov 7, 00:00 | Long | $0.0690 | $0.0669 | -3.04% |
| Oct 28, 04:00 | Nov 2, 00:00 | Long | $0.0839 | $0.0768 | -8.46% |
| Oct 15, 12:00 | Oct 20, 04:00 | Long | $0.0746 | $0.0711 | -4.69% |
| Sep 23, 20:00 | Oct 13, 08:00 | Long | $0.0805 | $0.0845 | +4.97% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 57.14% hit rate on 4h charts balances signal quality with opportunity frequency for CATI.
At 0.72x, consider wider stop-losses to improve average win size on CATI.
At 7 trades, each position carries higher significance. No room for poor execution.
Best results occur when CATI's 4h trend aligns with higher timeframe momentum.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
The algorithm capitalizes on CATI's characteristic volatility patterns on the 4h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for CATI 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 CATI.
- Robust across multiple market regimes.
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