IOST 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, 05:00 | Long | $0.001532 | $0.001534 | +0.13% |
| Jan 26, 02:00 | Jan 27, 00:00 | Long | $0.001501 | $0.001541 | +2.66% |
| Jan 25, 01:00 | Jan 25, 07:00 | Long | $0.001569 | $0.001548 | -1.34% |
| Jan 23, 17:00 | Jan 24, 14:00 | Long | $0.001575 | $0.001551 | -1.52% |
| Jan 23, 01:00 | Jan 23, 15:00 | Long | $0.001549 | $0.001551 | +0.13% |
| Jan 21, 20:00 | Jan 22, 14:00 | Long | $0.001552 | $0.001538 | -0.9% |
| Jan 21, 16:00 | Jan 21, 17:00 | Long | $0.001536 | $0.001507 | -1.89% |
| Jan 21, 02:00 | Jan 21, 12:00 | Long | $0.001542 | $0.001506 | -2.33% |
| Jan 19, 16:00 | Jan 20, 08:00 | Long | $0.001593 | $0.001551 | -2.64% |
| Jan 18, 16:00 | Jan 18, 23:00 | Long | $0.001657 | $0.001641 | -0.97% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (30%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.57x, consider wider stop-losses to improve average win size on IOST.
The 90 trade count provides excellent statistical significance for performance evaluation.
Consider 1h for entries but monitor daily charts for overall trend context.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Time-of-day filtering may improve results: analyze when IOST shows strongest Parabolic SAR response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for IOST 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 IOST.
- Robust across multiple market regimes.
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