ENS 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 12, 02:00 | Jan 12, 09:00 | Long | $10.39 | $10.21 | -1.73% |
| Jan 11, 15:00 | Jan 11, 17:00 | Long | $10.43 | $10.46 | +0.29% |
| Jan 10, 08:00 | Jan 10, 22:00 | Long | $10.43 | $10.44 | +0.1% |
| Jan 9, 15:00 | Jan 9, 18:00 | Long | $10.59 | $10.31 | -2.64% |
| Jan 8, 16:00 | Jan 9, 09:00 | Long | $10.5 | $10.44 | -0.57% |
| Jan 7, 07:00 | Jan 7, 14:00 | Long | $11.12 | $10.71 | -3.69% |
| Jan 5, 20:00 | Jan 6, 16:00 | Long | $11 | $11.03 | +0.27% |
| Jan 5, 00:00 | Jan 5, 13:00 | Long | $10.53 | $10.66 | +1.23% |
| Jan 3, 16:00 | Jan 4, 18:00 | Long | $10.2 | $10.37 | +1.67% |
| Jan 2, 03:00 | Jan 3, 06:00 | Long | $9.8200 | $10.08 | +2.65% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (35.96%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.74) indicates potential parameter optimization is needed for ENS.
The 89 trade count provides excellent statistical significance for performance evaluation.
Volatility-adjusted sizing: reduce position size when ENS ATR exceeds 150% of average.
Low volatility periods may reduce signal frequency but improve individual trade quality for ENS.
Trend identification is built-in: Parabolic SAR only triggers when momentum confirms ENS direction.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for ENS with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with ENS volatility.
- Drawdown tolerance required for 35.96% win rate.
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