DOGS 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 | $0.00004440 | $0.00004780 | +7.66% |
| Dec 29, 12:00 | Jan 2, 16:00 | Long | $0.00003950 | $0.00004390 | +11.14% |
| Dec 11, 04:00 | Dec 26, 12:00 | Long | $0.00004730 | $0.00004250 | -10.15% |
| Dec 1, 00:00 | Dec 7, 08:00 | Long | $0.00004060 | $0.00005260 | +29.56% |
| Nov 11, 16:00 | Nov 20, 00:00 | Long | $0.00005040 | $0.00004880 | -3.17% |
| Oct 21, 16:00 | Nov 7, 00:00 | Long | $0.00006600 | $0.00004870 | -26.21% |
| Oct 4, 12:00 | Oct 19, 16:00 | Long | $0.000121 | $0.00007440 | -38.51% |
| Sep 25, 16:00 | Oct 2, 00:00 | Long | $0.000117 | $0.000126 | +7.7% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 50% win rate is within expected range for Bollinger Bands algorithms. Focus shifts to risk-reward optimization.
At 0.41x, consider wider stop-losses to improve average win size on DOGS.
At 8 trades, each position carries higher significance. No room for poor execution.
Consider adaptive parameters that adjust to DOGS's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider 4h 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 DOGS 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 DOGS.
- Robust across multiple market regimes.
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