PYTH 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, 13:00 | Jan 28, 00:00 | Long | $0.0588 | $0.0620 | +5.44% |
| Jan 26, 01:00 | Jan 26, 21:00 | Long | $0.0576 | $0.0587 | +1.91% |
| Jan 23, 17:00 | Jan 25, 14:00 | Long | $0.0594 | $0.0588 | -1.01% |
| Jan 23, 05:00 | Jan 23, 15:00 | Long | $0.0588 | $0.0575 | -2.21% |
| Jan 21, 20:00 | Jan 22, 15:00 | Long | $0.0584 | $0.0567 | -2.91% |
| Jan 21, 05:00 | Jan 21, 17:00 | Long | $0.0581 | $0.0564 | -2.93% |
| Jan 19, 19:00 | Jan 20, 17:00 | Long | $0.0606 | $0.0574 | -5.28% |
| Jan 18, 19:00 | Jan 18, 23:00 | Long | $0.0657 | $0.0638 | -2.89% |
| Jan 17, 15:00 | Jan 18, 01:00 | Long | $0.0675 | $0.0661 | -2.07% |
| Jan 16, 21:00 | Jan 17, 12:00 | Long | $0.0666 | $0.0666 | 0% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (29.89%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.65x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With 87 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Best results occur when PYTH's 1h trend aligns with higher timeframe momentum.
Time-of-day filtering may improve results: analyze when PYTH shows strongest Parabolic SAR response.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for PYTH with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- 29.89% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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