LPT 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, 08:00 | Jan 23, 11:00 | Long | $2.8890 | $2.8990 | +0.35% |
| Jan 18, 23:00 | Jan 19, 19:00 | Long | $3.1760 | $3.0200 | -4.91% |
| Jan 15, 03:00 | Jan 16, 10:00 | Long | $3.2410 | $3.2510 | +0.31% |
| Jan 11, 20:00 | Jan 13, 13:00 | Long | $3.1340 | $3.1820 | +1.53% |
| Jan 9, 19:00 | Jan 10, 12:00 | Long | $3.0920 | $3.1660 | +2.39% |
| Jan 6, 17:00 | Jan 9, 15:00 | Long | $3.2430 | $3.1670 | -2.34% |
| Dec 31, 16:00 | Jan 1, 11:00 | Long | $2.8640 | $3.0020 | +4.82% |
| Dec 28, 18:00 | Dec 30, 09:00 | Long | $2.8920 | $2.9060 | +0.48% |
| Dec 25, 22:00 | Dec 27, 03:00 | Long | $2.8580 | $3.1090 | +8.78% |
| Dec 18, 19:00 | Dec 24, 22:00 | Long | $2.9770 | $2.9140 | -2.12% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 53.85% win rate is within expected range for Bollinger Bands algorithms. Focus shifts to risk-reward optimization.
At 1.69x, the risk-reward balance is healthy. Consistent execution will compound returns.
This volume (26 trades) means the Bollinger Bands is highly responsive to LPT price action.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
The setup ranks favorably against other Bollinger Bands configurations tested on similar assets.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for LPT with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for LPT.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on LPT may have higher slippage.
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