OP 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 12, 12:00 | Jan 13, 12:00 | Long | $0.3088 | $0.3346 | +8.35% |
| Jan 8, 12:00 | Jan 12, 04:00 | Long | $0.3058 | $0.3255 | +6.44% |
| Dec 31, 16:00 | Jan 1, 16:00 | Long | $0.2613 | $0.2867 | +9.72% |
| Dec 15, 16:00 | Dec 27, 20:00 | Long | $0.2844 | $0.2766 | -2.74% |
| Nov 30, 12:00 | Dec 8, 08:00 | Long | $0.3211 | $0.3260 | +1.53% |
| Nov 12, 16:00 | Nov 24, 16:00 | Long | $0.3966 | $0.3209 | -19.09% |
| Oct 28, 20:00 | Nov 7, 04:00 | Long | $0.4355 | $0.3872 | -11.09% |
| Oct 10, 16:00 | Oct 20, 00:00 | Long | $0.6653 | $0.4491 | -32.5% |
| Sep 22, 00:00 | Oct 1, 08:00 | Long | $0.7466 | $0.6884 | -7.8% |
| Sep 15, 08:00 | Sep 17, 20:00 | Long | $0.7503 | $0.8119 | +8.21% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (50%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
At 0.34x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
Moderate activity (10 signals) allows careful analysis of each OP trading opportunity.
Shorter timeframes show more signals but lower win rates. 4h is the sweet spot.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider adaptive parameters that adjust to OP's current volatility regime.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for OP 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 OP.
- Robust across multiple market regimes.
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