PNUT 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 25, 12:00 | Jan 26, 18:00 | Long | $0.0721 | $0.0735 | +1.94% |
| Jan 22, 14:00 | Jan 24, 11:00 | Long | $0.0719 | $0.0749 | +4.17% |
| Jan 20, 09:00 | Jan 21, 21:00 | Long | $0.0727 | $0.0749 | +3.03% |
| Jan 18, 23:00 | Jan 19, 19:00 | Long | $0.0806 | $0.0766 | -4.96% |
| Jan 17, 21:00 | Jan 18, 18:00 | Long | $0.0837 | $0.0836 | -0.12% |
| Jan 14, 18:00 | Jan 16, 21:00 | Long | $0.0886 | $0.0852 | -3.84% |
| Jan 7, 14:00 | Jan 12, 03:00 | Long | $0.0892 | $0.0872 | -2.24% |
| Dec 31, 16:00 | Jan 1, 06:00 | Long | $0.0682 | $0.0703 | +3.08% |
| Dec 28, 18:00 | Dec 30, 08:00 | Long | $0.0716 | $0.0701 | -2.09% |
| Dec 26, 00:00 | Dec 27, 16:00 | Long | $0.0695 | $0.0723 | +4.03% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Moderate win rate (53.85%) is compensated by favorable average win-to-loss ratio. Total expectancy remains positive.
Low profit factor (0.84) indicates potential parameter optimization is needed for PNUT.
The 26 trade count provides excellent statistical significance for performance evaluation.
Low volatility periods may reduce signal frequency but improve individual trade quality for PNUT.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
PNUT liquidity levels support clean Bollinger Bands execution without significant slippage impact.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for PNUT 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 PNUT.
- Robust across multiple market regimes.
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