LRC 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 26, 01:00 | Jan 27, 09:00 | Long | $0.0477 | $0.0471 | -1.26% |
| Jan 24, 12:00 | Jan 25, 03:00 | Long | $0.0495 | $0.0483 | -2.42% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.0499 | $0.0482 | -3.41% |
| Jan 23, 01:00 | Jan 23, 13:00 | Long | $0.0500 | $0.0491 | -1.8% |
| Jan 21, 20:00 | Jan 22, 12:00 | Long | $0.0500 | $0.0494 | -1.2% |
| Jan 21, 15:00 | Jan 21, 17:00 | Long | $0.0510 | $0.0488 | -4.31% |
| Jan 21, 02:00 | Jan 21, 12:00 | Long | $0.0506 | $0.0493 | -2.57% |
| Jan 19, 19:00 | Jan 20, 13:00 | Long | $0.0495 | $0.0490 | -1.01% |
| Jan 18, 16:00 | Jan 18, 23:00 | Long | $0.0524 | $0.0526 | +0.38% |
| Jan 17, 15:00 | Jan 17, 22:00 | Long | $0.0550 | $0.0540 | -1.82% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 31.76% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.78x, consider wider stop-losses to improve average win size on LRC.
This volume (85 trades) means the Parabolic SAR is highly responsive to LRC price action.
Best results occur when LRC's 1h trend aligns with higher timeframe momentum.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
The algorithm capitalizes on LRC's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for LRC with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Clear rules-based system for LRC.
- Parabolic SAR is beginner-friendly indicator.
- 1h gives time to analyze before action.
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