NEAR 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 17, 08:00 | Jan 19, 00:00 | Long | $1.7820 | $1.5750 | -11.62% |
| Jan 13, 08:00 | Jan 15, 04:00 | Long | $1.7630 | $1.7610 | -0.11% |
| Jan 12, 04:00 | Jan 12, 08:00 | Long | $1.7520 | $1.6690 | -4.74% |
| Jan 9, 16:00 | Jan 12, 00:00 | Long | $1.7280 | $1.7100 | -1.04% |
| Jan 6, 04:00 | Jan 7, 16:00 | Long | $1.7780 | $1.7210 | -3.21% |
| Jan 1, 12:00 | Jan 5, 08:00 | Long | $1.5510 | $1.7190 | +10.83% |
| Dec 26, 04:00 | Dec 29, 08:00 | Long | $1.5400 | $1.5420 | +0.13% |
| Dec 25, 16:00 | Dec 26, 00:00 | Long | $1.4950 | $1.4570 | -2.54% |
| Dec 21, 08:00 | Dec 23, 08:00 | Long | $1.5140 | $1.4830 | -2.05% |
| Dec 18, 16:00 | Dec 18, 20:00 | Long | $1.5240 | $1.4400 | -5.51% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 28.57% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.76x, consider wider stop-losses to improve average win size on NEAR.
This volume (42 trades) means the Parabolic SAR is highly responsive to NEAR price action.
Consider testing Bollinger Band periods of 18-22 candles for potential NEAR optimization.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider 4h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for NEAR with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 28.57% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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