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 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% |
| Dec 28, 16:00 | Dec 31, 01:00 | Long | $0.0558 | $0.0548 | -1.79% |
| Dec 25, 09:00 | Dec 27, 17:00 | Long | $0.0569 | $0.0564 | -0.84% |
| Dec 21, 13:00 | Dec 22, 08:00 | Long | $0.0546 | $0.0557 | +2.13% |
| Dec 17, 03:00 | Dec 20, 08:00 | Long | $0.0544 | $0.0553 | +1.64% |
| Dec 15, 00:00 | Dec 16, 10:00 | Long | $0.0560 | $0.0556 | -0.77% |
| Dec 11, 00:00 | Dec 11, 21:00 | Long | $0.0579 | $0.0578 | -0.17% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
At 45.83% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
Low profit factor (0.67) indicates potential parameter optimization is needed for AWE.
The 24 trade count reflects balanced signal generation. Quality over quantity approach.
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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