XRP 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 12, 08:00 | Jan 13, 20:00 | Long | $2.0448 | $2.1214 | +3.75% |
| Dec 31, 16:00 | Jan 2, 08:00 | Long | $1.8347 | $1.8993 | +3.52% |
| Dec 11, 00:00 | Dec 29, 04:00 | Long | $2.0122 | $1.9028 | -5.44% |
| Nov 30, 20:00 | Dec 8, 08:00 | Long | $2.1550 | $2.1017 | -2.47% |
| Nov 17, 16:00 | Nov 24, 16:00 | Long | $2.1270 | $2.2350 | +5.08% |
| Oct 29, 16:00 | Nov 10, 00:00 | Long | $2.5870 | $2.4613 | -4.86% |
| Oct 7, 12:00 | Oct 20, 04:00 | Long | $2.8847 | $2.4704 | -14.36% |
| Sep 22, 00:00 | Sep 28, 20:00 | Long | $2.9038 | $2.8674 | -1.25% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (37.5%) is common for breakout strategies on volatile assets like XRP. Focus on risk per trade.
At 0.34x, consider wider stop-losses to improve average win size on XRP.
The limited 8 sample size suggests viewing this as indicative rather than conclusive.
Consider 4h for entries but monitor daily charts for overall trend context.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider adaptive parameters that adjust to XRP's current volatility regime.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for XRP with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- 37.5% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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