AWE Bollinger Bands 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 25, 14:00 | Jan 27, 20:00 | Long | $0.0534 | $0.0527 | -1.12% |
| Jan 22, 15:00 | Jan 23, 05:00 | Long | $0.0516 | $0.0531 | +2.99% |
| Jan 20, 09:00 | Jan 21, 15:00 | Long | $0.0525 | $0.0521 | -0.7% |
| Jan 17, 22:00 | Jan 20, 01:00 | Long | $0.0549 | $0.0535 | -2.51% |
| Jan 15, 03:00 | Jan 16, 11:00 | Long | $0.0561 | $0.0558 | -0.48% |
| Jan 11, 01:00 | Jan 13, 12:00 | Long | $0.0569 | $0.0557 | -2.16% |
| Jan 7, 15:00 | Jan 10, 04:00 | Long | $0.0574 | $0.0578 | +0.77% |
| Jan 6, 17:00 | Jan 7, 00:00 | Long | $0.0566 | $0.0595 | +5.09% |
| Jan 5, 05:00 | Jan 6, 13:00 | Long | $0.0568 | $0.0582 | +2.57% |
| Dec 31, 16:00 | Jan 2, 03:00 | Long | $0.0537 | $0.0568 | +5.77% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (40%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.75) indicates potential parameter optimization is needed for AWE.
With 25 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Volume filters may improve win rate: require above-average volume for entry confirmation.
The 1h chart captures AWE's characteristic momentum cycles effectively.
Best results occur when AWE's 1h trend aligns with higher timeframe momentum.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for AWE with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with AWE.
- Automated execution recommended.
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