CATI Parabolic SAR 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 26, 18:00 | Jan 27, 03:00 | Long | $0.0589 | $0.0578 | -1.87% |
| Jan 26, 01:00 | Jan 26, 14:00 | Long | $0.0582 | $0.0575 | -1.2% |
| Jan 25, 00:00 | Jan 25, 12:00 | Long | $0.0596 | $0.0591 | -0.84% |
| Jan 23, 14:00 | Jan 24, 15:00 | Long | $0.0593 | $0.0591 | -0.34% |
| Jan 22, 05:00 | Jan 22, 13:00 | Long | $0.0602 | $0.0595 | -1.16% |
| Jan 21, 02:00 | Jan 21, 19:00 | Long | $0.0603 | $0.0597 | -1% |
| Jan 19, 07:00 | Jan 20, 19:00 | Long | $0.0607 | $0.0590 | -2.8% |
| Jan 17, 13:00 | Jan 18, 02:00 | Long | $0.0619 | $0.0603 | -2.58% |
| Jan 17, 00:00 | Jan 17, 07:00 | Long | $0.0615 | $0.0604 | -1.79% |
| Jan 16, 00:00 | Jan 16, 18:00 | Long | $0.0601 | $0.0602 | +0.17% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 25% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.27x, consider wider stop-losses to improve average win size on CATI.
High signal frequency (88 trades) suits active traders seeking regular CATI engagement.
Consider 1h for entries but monitor daily charts for overall trend context.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider adaptive parameters that adjust to CATI's current volatility regime.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for CATI with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Parabolic SAR generates clear entry/exit signals.
- No parameter optimization needed for CATI.
- 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