ENA 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, 15:00 | Jan 27, 06:00 | Long | $0.1680 | $0.1679 | -0.06% |
| Jan 26, 00:00 | Jan 26, 14:00 | Long | $0.1636 | $0.1654 | +1.1% |
| Jan 23, 17:00 | Jan 24, 13:00 | Long | $0.1800 | $0.1751 | -2.72% |
| Jan 23, 02:00 | Jan 23, 13:00 | Long | $0.1773 | $0.1771 | -0.11% |
| Jan 21, 20:00 | Jan 22, 08:00 | Long | $0.1802 | $0.1760 | -2.33% |
| Jan 21, 05:00 | Jan 21, 11:00 | Long | $0.1840 | $0.1802 | -2.07% |
| Jan 19, 23:00 | Jan 20, 13:00 | Long | $0.1946 | $0.1832 | -5.86% |
| Jan 18, 16:00 | Jan 18, 23:00 | Long | $0.2165 | $0.2105 | -2.77% |
| Jan 17, 15:00 | Jan 17, 21:00 | Long | $0.2227 | $0.2205 | -0.99% |
| Jan 16, 20:00 | Jan 17, 12:00 | Long | $0.2212 | $0.2211 | -0.05% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 32.94% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.73x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 85 signals offer many compounding opportunities but require strict execution discipline.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Consider testing Bollinger Band periods of 18-22 candles for potential ENA optimization.
The algorithm capitalizes on ENA's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for ENA 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 ENA.
- Robust across multiple market regimes.
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