OP 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, 15:00 | Jan 27, 20:00 | Long | $0.3045 | $0.3027 | -0.59% |
| Jan 18, 23:00 | Jan 19, 19:00 | Long | $0.3332 | $0.3230 | -3.06% |
| Jan 15, 16:00 | Jan 18, 20:00 | Long | $0.3434 | $0.3452 | +0.52% |
| Jan 14, 20:00 | Jan 15, 12:00 | Long | $0.3541 | $0.3627 | +2.43% |
| Jan 11, 20:00 | Jan 12, 03:00 | Long | $0.3146 | $0.3313 | +5.31% |
| Jan 6, 16:00 | Jan 9, 16:00 | Long | $0.3228 | $0.3201 | -0.84% |
| Dec 31, 16:00 | Jan 1, 14:00 | Long | $0.2665 | $0.2767 | +3.83% |
| Dec 28, 18:00 | Dec 29, 04:00 | Long | $0.2731 | $0.2817 | +3.15% |
| Dec 25, 10:00 | Dec 27, 03:00 | Long | $0.2609 | $0.2720 | +4.25% |
| Dec 22, 20:00 | Dec 25, 04:00 | Long | $0.2686 | $0.2662 | -0.89% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The algorithm's 65.38% hit rate on OP suggests strong predictive capability for the current market structure.
At 1.16x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 26 trade count provides excellent statistical significance for performance evaluation.
Time-of-day filtering may improve results: analyze when OP shows strongest Bollinger Bands response.
This Bollinger Bands setup on OP shows increased effectiveness during moderate volatility regimes.
Volatility-adjusted sizing: reduce position size when OP ATR exceeds 150% of average.
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
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with OP volatility.
- Drawdown tolerance required for 65.38% win rate.
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