SHIB 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 24, 14:00 | Jan 27, 16:00 | Long | $0.00000783 | $0.00000779 | -0.51% |
| Jan 22, 15:00 | Jan 23, 17:00 | Long | $0.00000775 | $0.00000812 | +4.77% |
| Jan 21, 17:00 | Jan 21, 21:00 | Long | $0.00000770 | $0.00000811 | +5.32% |
| Jan 15, 03:00 | Jan 19, 19:00 | Long | $0.00000850 | $0.00000806 | -5.18% |
| Jan 11, 16:00 | Jan 13, 05:00 | Long | $0.00000860 | $0.00000863 | +0.35% |
| Jan 6, 16:00 | Jan 10, 17:00 | Long | $0.00000907 | $0.00000871 | -3.97% |
| Dec 30, 18:00 | Jan 1, 16:00 | Long | $0.00000711 | $0.00000719 | +1.13% |
| Dec 28, 18:00 | Dec 29, 00:00 | Long | $0.00000731 | $0.00000746 | +2.05% |
| Dec 25, 23:00 | Dec 27, 11:00 | Long | $0.00000711 | $0.00000721 | +1.41% |
| Dec 17, 16:00 | Dec 24, 16:00 | Long | $0.00000758 | $0.00000721 | -4.88% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The algorithm's 58.33% hit rate on SHIB suggests strong predictive capability for the current market structure.
At 0.76x, consider wider stop-losses to improve average win size on SHIB.
The 24 trade count reflects balanced signal generation. Quality over quantity approach.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for SHIB with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 58.33% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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