PNUT 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 8, 08:00 | Jan 13, 16:00 | Long | $0.0852 | $0.0871 | +2.23% |
| Dec 1, 00:00 | Jan 1, 16:00 | Long | $0.0817 | $0.0736 | -9.91% |
| Nov 12, 16:00 | Nov 24, 12:00 | Long | $0.1101 | $0.0873 | -20.71% |
| Oct 28, 20:00 | Nov 7, 16:00 | Long | $0.1327 | $0.1240 | -6.56% |
| Oct 7, 12:00 | Oct 20, 00:00 | Long | $0.2094 | $0.1435 | -31.47% |
| Sep 25, 16:00 | Oct 1, 08:00 | Long | $0.2023 | $0.2106 | +4.1% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 33.33% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low PF (0.10) combined with this win rate makes the setup high-variance. Trade cautiously.
At 6 trades, each position carries higher significance. No room for poor execution.
Consider adaptive parameters that adjust to PNUT's current volatility regime.
The 4h timeframe reduces overnight gap risk while capturing meaningful moves.
Best results occur when PNUT's 4h trend aligns with higher timeframe momentum.
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
- Minimum $500 account for micro positions on PNUT.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us