XLM 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, 16:00 | Long | $0.2121 | $0.2146 | +1.18% |
| Jan 18, 23:00 | Jan 19, 20:00 | Long | $0.2213 | $0.2199 | -0.63% |
| Jan 14, 20:00 | Jan 17, 15:00 | Long | $0.2367 | $0.2302 | -2.75% |
| Jan 11, 18:00 | Jan 13, 14:00 | Long | $0.2256 | $0.2274 | +0.8% |
| Jan 6, 16:00 | Jan 11, 09:00 | Long | $0.2419 | $0.2284 | -5.58% |
| Jan 5, 06:00 | Jan 5, 16:00 | Long | $0.2301 | $0.2368 | +2.91% |
| Dec 28, 19:00 | Jan 1, 17:00 | Long | $0.2193 | $0.2092 | -4.61% |
| Dec 25, 23:00 | Dec 27, 11:00 | Long | $0.2098 | $0.2155 | +2.72% |
| Dec 23, 07:00 | Dec 25, 16:00 | Long | $0.2156 | $0.2157 | +0.05% |
| Dec 21, 13:00 | Dec 22, 08:00 | Long | $0.2126 | $0.2205 | +3.72% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (47.83%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
At 0.60x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
At 23 trades, the algorithm filters noise while capturing significant XLM moves.
This Bollinger Bands configuration excels in trending XLM markets. Avoid during extended consolidation.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Kelly Criterion suggests minimal position sizing for this edge.
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
- Strategy designed for 1h charts.
- Best paired with XLM.
- Automated execution recommended.
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