ENA Parabolic SAR Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 21, 20:00 | Jan 23, 20:00 | Long | $0.1824 | $0.1749 | -4.11% |
| Jan 13, 16:00 | Jan 15, 04:00 | Long | $0.2228 | $0.2313 | +3.82% |
| Jan 11, 16:00 | Jan 12, 00:00 | Long | $0.2335 | $0.2311 | -1.03% |
| Jan 9, 16:00 | Jan 10, 00:00 | Long | $0.2380 | $0.2301 | -3.32% |
| Jan 5, 16:00 | Jan 6, 16:00 | Long | $0.2526 | $0.2419 | -4.24% |
| Jan 1, 12:00 | Jan 5, 04:00 | Long | $0.2060 | $0.2412 | +17.09% |
| Dec 29, 04:00 | Dec 29, 12:00 | Long | $0.2160 | $0.2075 | -3.94% |
| Dec 25, 04:00 | Dec 28, 08:00 | Long | $0.2024 | $0.2118 | +4.64% |
| Dec 19, 12:00 | Dec 22, 20:00 | Long | $0.2061 | $0.2063 | +0.1% |
| Dec 16, 12:00 | Dec 17, 04:00 | Long | $0.2257 | $0.2155 | -4.52% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (25.71%) on 4h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.55) indicates potential parameter optimization is needed for ENA.
The 35 trade count provides excellent statistical significance for performance evaluation.
The algorithm capitalizes on ENA's characteristic volatility patterns on the 4h timeframe.
Best results occur when ENA's 4h trend aligns with higher timeframe momentum.
Consider testing Bollinger Band periods of 18-22 candles for potential ENA optimization.
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
- Asian session: lower volatility for ENA.
- US/EU overlap: best liquidity on 4h.
- Weekend signals on ENA may have higher slippage.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us