POWR 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, 20:00 | Jan 28, 04:00 | Long | $0.0847 | $0.0830 | -2.01% |
| Jan 26, 23:00 | Jan 27, 09:00 | Long | $0.0854 | $0.0844 | -1.17% |
| Jan 26, 11:00 | Jan 26, 21:00 | Long | $0.0842 | $0.0846 | +0.48% |
| Jan 24, 22:00 | Jan 25, 14:00 | Long | $0.0885 | $0.0883 | -0.23% |
| Jan 23, 05:00 | Jan 23, 21:00 | Long | $0.0882 | $0.0881 | -0.11% |
| Jan 21, 20:00 | Jan 22, 13:00 | Long | $0.0894 | $0.0880 | -1.57% |
| Jan 21, 15:00 | Jan 21, 17:00 | Long | $0.0895 | $0.0863 | -3.58% |
| Jan 21, 01:00 | Jan 21, 12:00 | Long | $0.0891 | $0.0877 | -1.57% |
| Jan 19, 14:00 | Jan 20, 05:00 | Long | $0.0933 | $0.0921 | -1.29% |
| Jan 18, 11:00 | Jan 18, 23:00 | Long | $0.0965 | $0.0959 | -0.62% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (33.33%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.60) indicates potential parameter optimization is needed for POWR.
The 96 trade count provides excellent statistical significance for performance evaluation.
Trend identification is built-in: Parabolic SAR only triggers when momentum confirms POWR direction.
Consider testing Bollinger Band periods of 18-22 candles for potential POWR optimization.
Kelly Criterion suggests minimal position sizing for this edge.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for POWR 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 POWR.
- Automated execution recommended.
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