ENA Bollinger Bands 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 7, 16:00 | Jan 14, 00:00 | Long | $0.2367 | $0.2427 | +2.53% |
| Dec 30, 04:00 | Jan 1, 16:00 | Long | $0.2044 | $0.2123 | +3.86% |
| Dec 10, 20:00 | Dec 26, 04:00 | Long | $0.2595 | $0.2113 | -18.57% |
| Nov 30, 12:00 | Dec 9, 16:00 | Long | $0.2692 | $0.2861 | +6.28% |
| Nov 13, 16:00 | Nov 24, 16:00 | Long | $0.2847 | $0.2552 | -10.36% |
| Oct 30, 12:00 | Nov 7, 16:00 | Long | $0.3986 | $0.3398 | -14.75% |
| Oct 7, 12:00 | Oct 19, 08:00 | Long | $0.5611 | $0.4943 | -11.91% |
| Sep 30, 04:00 | Oct 2, 08:00 | Long | $0.5455 | $0.6279 | +15.11% |
| Sep 25, 04:00 | Sep 28, 20:00 | Long | $0.5796 | $0.5998 | +3.49% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
This configuration shows 55.56% precision, typical for trend-following systems on ENA. Expect streaks in both directions.
At 0.66x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 9 trades, this is a patient, low-frequency strategy for ENA.
Time-of-day filtering may improve results: analyze when ENA shows strongest Bollinger Bands response.
Volatility-adjusted sizing: reduce position size when ENA ATR exceeds 150% of average.
Shorter timeframes show more signals but lower win rates. 4h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for ENA with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with ENA volatility.
- Drawdown tolerance required for 55.56% win rate.
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