JUP 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 25, 16:00 | Jan 27, 20:00 | Long | $0.1908 | $0.2039 | +6.87% |
| Jan 19, 00:00 | Jan 25, 00:00 | Long | $0.1986 | $0.1999 | +0.65% |
| Jan 12, 12:00 | Jan 14, 00:00 | Long | $0.2065 | $0.2269 | +9.88% |
| Dec 29, 08:00 | Jan 1, 16:00 | Long | $0.1972 | $0.1948 | -1.22% |
| Dec 11, 00:00 | Dec 25, 04:00 | Long | $0.2155 | $0.1998 | -7.29% |
| Dec 1, 00:00 | Dec 9, 12:00 | Long | $0.2246 | $0.2340 | +4.19% |
| Nov 13, 16:00 | Nov 24, 16:00 | Long | $0.3115 | $0.2475 | -20.55% |
| Oct 29, 12:00 | Nov 11, 00:00 | Long | $0.4143 | $0.3720 | -10.21% |
| Oct 4, 12:00 | Oct 20, 00:00 | Long | $0.4469 | $0.3596 | -19.53% |
| Sep 30, 12:00 | Oct 1, 12:00 | Long | $0.4184 | $0.4601 | +9.97% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 54.55% hit rate on 4h charts balances signal quality with opportunity frequency for JUP.
At 0.42x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
Moderate activity (11 signals) allows careful analysis of each JUP trading opportunity.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Volatility clustering in JUP may cause consecutive signals—beware of correlation between trades.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for JUP 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 JUP volatility.
- Drawdown tolerance required for 54.55% win rate.
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