AXL 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 20, 08:00 | Jan 23, 02:00 | Long | $0.0674 | $0.0655 | -2.82% |
| Jan 18, 23:00 | Jan 19, 19:00 | Long | $0.0750 | $0.0714 | -4.8% |
| Jan 15, 03:00 | Jan 16, 20:00 | Long | $0.0757 | $0.0752 | -0.66% |
| Jan 10, 04:00 | Jan 13, 05:00 | Long | $0.0738 | $0.0725 | -1.76% |
| Jan 7, 14:00 | Jan 9, 01:00 | Long | $0.0784 | $0.0761 | -2.93% |
| Jan 5, 09:00 | Jan 5, 19:00 | Long | $0.0762 | $0.0790 | +3.67% |
| Jan 3, 07:00 | Jan 4, 15:00 | Long | $0.0721 | $0.0783 | +8.6% |
| Dec 29, 13:00 | Jan 1, 14:00 | Long | $0.0709 | $0.0701 | -1.13% |
| Dec 28, 20:00 | Dec 29, 04:00 | Long | $0.0723 | $0.0739 | +2.21% |
| Dec 25, 14:00 | Dec 27, 01:00 | Long | $0.0730 | $0.0755 | +3.42% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (39.13%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.44) indicates potential parameter optimization is needed for AXL.
The 23 trade count reflects balanced signal generation. Quality over quantity approach.
This Bollinger Bands setup on AXL shows increased effectiveness during moderate volatility regimes.
AXL liquidity levels support clean Bollinger Bands execution without significant slippage impact.
Time-of-day filtering may improve results: analyze when AXL shows strongest Bollinger Bands response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for AXL 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 AXL.
- Automated execution recommended.
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