SAHARA 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 27, 18:00 | Jan 28, 04:00 | Long | $0.0236 | $0.0241 | +2.08% |
| Jan 26, 05:00 | Jan 27, 09:00 | Long | $0.0240 | $0.0236 | -1.46% |
| Jan 25, 10:00 | Jan 25, 16:00 | Long | $0.0259 | $0.0247 | -4.82% |
| Jan 24, 04:00 | Jan 25, 01:00 | Long | $0.0243 | $0.0249 | +2.1% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.0244 | $0.0237 | -2.83% |
| Jan 23, 04:00 | Jan 23, 15:00 | Long | $0.0237 | $0.0238 | +0.72% |
| Jan 21, 20:00 | Jan 22, 15:00 | Long | $0.0235 | $0.0230 | -2.13% |
| Jan 21, 15:00 | Jan 21, 17:00 | Long | $0.0234 | $0.0227 | -2.86% |
| Jan 21, 02:00 | Jan 21, 12:00 | Long | $0.0231 | $0.0230 | -0.26% |
| Jan 19, 19:00 | Jan 20, 08:00 | Long | $0.0251 | $0.0239 | -4.79% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (30.34%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.24x, consider wider stop-losses to improve average win size on SAHARA.
With 89 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
The algorithm capitalizes on SAHARA's characteristic volatility patterns on the 1h timeframe.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for SAHARA with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with SAHARA.
- Automated execution recommended.
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