XLM Parabolic SAR Strategy (1d) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 3, 00:00 | Jan 12, 00:00 | Long | $0.2201 | $0.2204 | +0.14% |
| Dec 28, 00:00 | Dec 31, 00:00 | Long | $0.2187 | $0.1997 | -8.69% |
| Dec 3, 00:00 | Dec 12, 00:00 | Long | $0.2571 | $0.2357 | -8.32% |
| Nov 25, 00:00 | Dec 1, 00:00 | Long | $0.2513 | $0.2330 | -7.28% |
| Nov 10, 00:00 | Nov 14, 00:00 | Long | $0.3017 | $0.2603 | -13.72% |
| Oct 27, 00:00 | Oct 30, 00:00 | Long | $0.3232 | $0.2935 | -9.19% |
| Oct 1, 00:00 | Oct 10, 00:00 | Long | $0.3938 | $0.3381 | -14.14% |
| Sep 5, 00:00 | Sep 16, 00:00 | Long | $0.3596 | $0.3844 | +6.9% |
| Aug 4, 00:00 | Aug 18, 00:00 | Long | $0.4137 | $0.4145 | +0.19% |
| Jul 3, 00:00 | Jul 19, 00:00 | Long | $0.2426 | $0.4610 | +90.02% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (20%) on 1d indicates signal noise. Higher timeframes may improve accuracy.
The 1.25 ratio is respectable. Focus on reducing drawdowns to improve overall performance.
At 15 trades, the algorithm filters noise while capturing significant XLM moves.
Consider adaptive parameters that adjust to XLM's current volatility regime.
Token unlock schedules and protocol updates can override technical signals. Monitor fundamentals.
Trade duration on 1d typically ranges from 2-5 candles for XLM positions.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for XLM with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with XLM volatility.
- Drawdown tolerance required for 20% win rate.
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