SIGN Parabolic SAR Strategy (1h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 27, 16:00 | Jan 28, 03:00 | Long | $0.0383 | $0.0380 | -0.78% |
| Jan 26, 01:00 | Jan 26, 11:00 | Long | $0.0406 | $0.0397 | -2.29% |
| Jan 25, 02:00 | Jan 25, 12:00 | Long | $0.0417 | $0.0418 | +0.05% |
| Jan 24, 01:00 | Jan 24, 13:00 | Long | $0.0410 | $0.0410 | -0.19% |
| Jan 23, 18:00 | Jan 23, 19:00 | Long | $0.0411 | $0.0404 | -1.78% |
| Jan 22, 16:00 | Jan 23, 14:00 | Long | $0.0402 | $0.0405 | +0.62% |
| Jan 21, 04:00 | Jan 22, 08:00 | Long | $0.0386 | $0.0395 | +2.44% |
| Jan 20, 12:00 | Jan 20, 23:00 | Long | $0.0377 | $0.0372 | -1.25% |
| Jan 19, 05:00 | Jan 19, 22:00 | Long | $0.0389 | $0.0386 | -1.03% |
| Jan 18, 16:00 | Jan 18, 23:00 | Long | $0.0390 | $0.0383 | -1.67% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (30.34%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.72x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 89 trade count provides excellent statistical significance for performance evaluation.
Low volatility periods may reduce signal frequency but improve individual trade quality for SIGN.
Best results occur when SIGN's 1h trend aligns with higher timeframe momentum.
The 1h timeframe captures optimal trade duration for SIGN's typical move completion.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for SIGN with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Parabolic SAR generates clear entry/exit signals.
- No parameter optimization needed for SIGN.
- Robust across multiple market regimes.
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