GLM 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, 06:00 | Jan 27, 09:00 | Long | $0.2248 | $0.2327 | +3.51% |
| Jan 22, 15:00 | Jan 24, 22:00 | Long | $0.2300 | $0.2286 | -0.61% |
| Jan 15, 02:00 | Jan 21, 18:00 | Long | $0.3138 | $0.2452 | -21.86% |
| Jan 8, 13:00 | Jan 8, 21:00 | Long | $0.2615 | $0.2816 | +7.69% |
| Jan 3, 08:00 | Jan 3, 15:00 | Long | $0.2277 | $0.2366 | +3.91% |
| Jan 2, 09:00 | Jan 2, 14:00 | Long | $0.2245 | $0.2328 | +3.7% |
| Dec 28, 18:00 | Dec 30, 01:00 | Long | $0.2009 | $0.2082 | +3.63% |
| Dec 25, 22:00 | Dec 27, 12:00 | Long | $0.2002 | $0.1992 | -0.5% |
| Dec 21, 13:00 | Dec 24, 21:00 | Long | $0.1950 | $0.2043 | +4.77% |
| Dec 17, 09:00 | Dec 18, 13:00 | Long | $0.2055 | $0.2031 | -1.17% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 60.87% win ratio reflects strong alignment between Bollinger Bands signals and actual GLM market movements on the 1h chart.
Low profit factor (1.11) indicates potential parameter optimization is needed for GLM.
At 23 trades, the algorithm filters noise while capturing significant GLM moves.
GLM liquidity levels support clean Bollinger Bands execution without significant slippage impact.
Kelly Criterion suggests moderate position sizing for this edge.
The algorithm capitalizes on GLM's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for GLM 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 GLM.
- Automated execution recommended.
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