AXL Parabolic SAR 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 23, 04:00 | Jan 26, 00:00 | Long | $0.0681 | $0.0740 | +8.66% |
| Jan 17, 20:00 | Jan 19, 00:00 | Long | $0.0789 | $0.0691 | -12.42% |
| Jan 13, 08:00 | Jan 15, 04:00 | Long | $0.0737 | $0.0768 | +4.21% |
| Jan 9, 08:00 | Jan 10, 04:00 | Long | $0.0766 | $0.0738 | -3.66% |
| Jan 3, 20:00 | Jan 6, 16:00 | Long | $0.0748 | $0.0781 | +4.41% |
| Jan 1, 08:00 | Jan 3, 08:00 | Long | $0.0694 | $0.0725 | +4.47% |
| Dec 27, 00:00 | Dec 29, 00:00 | Long | $0.0753 | $0.0724 | -3.85% |
| Dec 25, 08:00 | Dec 26, 00:00 | Long | $0.0741 | $0.0718 | -3.1% |
| Dec 19, 16:00 | Dec 21, 12:00 | Long | $0.0900 | $0.0839 | -6.78% |
| Dec 12, 08:00 | Dec 15, 00:00 | Long | $0.1511 | $0.1289 | -14.69% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 31.25% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low profit factor (0.38) indicates potential parameter optimization is needed for AXL.
The 32 signals offer many compounding opportunities but require strict execution discipline.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Volatility clustering in AXL 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 Parabolic SAR signal for AXL with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for AXL.
- US/EU overlap: best liquidity on 4h.
- Weekend signals on AXL may have higher slippage.
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