ENA Supertrend 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 13, 22:00 | Jan 18, 23:00 | Long | $0.2403 | $0.2105 | -12.4% |
| Dec 26, 02:00 | Jan 3, 07:00 | Long | $0.2098 | $0.2327 | +10.92% |
| Dec 2, 15:00 | Dec 12, 15:00 | Long | $0.2612 | $0.2511 | -3.87% |
| Nov 28, 08:00 | Dec 1, 00:00 | Long | $0.2906 | $0.2453 | -15.59% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 25% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
The 0.27 ratio warns: this Supertrend on ENA requires near-perfect execution to profit.
Low activity (4 signals) indicates the Supertrend waits for high-conviction setups only.
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.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for ENA with live market data, AI analysis, and trading recommendations.
About The Supertrend Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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