XLM 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 11, 20:00 | Jan 13, 20:00 | Long | $0.2238 | $0.2323 | +3.8% |
| Dec 31, 16:00 | Jan 2, 16:00 | Long | $0.1994 | $0.2176 | +9.13% |
| Dec 12, 16:00 | Dec 22, 12:00 | Long | $0.2356 | $0.2246 | -4.67% |
| Dec 1, 00:00 | Dec 9, 16:00 | Long | $0.2372 | $0.2550 | +7.5% |
| Nov 13, 16:00 | Nov 23, 20:00 | Long | $0.2715 | $0.2527 | -6.92% |
| Oct 22, 20:00 | Nov 7, 16:00 | Long | $0.3038 | $0.2854 | -6.06% |
| Oct 7, 16:00 | Oct 20, 04:00 | Long | $0.3867 | $0.3266 | -15.54% |
| Sep 22, 00:00 | Sep 29, 08:00 | Long | $0.3713 | $0.3698 | -0.4% |
| Sep 15, 08:00 | Sep 18, 00:00 | Long | $0.3791 | $0.3974 | +4.83% |
| Sep 4, 16:00 | Sep 8, 08:00 | Long | $0.3509 | $0.3682 | +4.93% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (46.15%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
At 0.81x, consider wider stop-losses to improve average win size on XLM.
At 13 trades, the algorithm filters noise while capturing significant XLM moves.
Consider 4h for entries but monitor daily charts for overall trend context.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
The algorithm capitalizes on XLM's characteristic volatility patterns on the 4h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for XLM with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Bollinger Bands generates clear entry/exit signals.
- No parameter optimization needed for XLM.
- Robust across multiple market regimes.
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