ONT 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, 03:00 | Jan 27, 08:00 | Long | $0.0570 | $0.0600 | +5.26% |
| Jan 25, 10:00 | Jan 25, 12:00 | Long | $0.0598 | $0.0586 | -2.01% |
| Jan 25, 00:00 | Jan 25, 09:00 | Long | $0.0579 | $0.0591 | +2.07% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.0597 | $0.0581 | -2.68% |
| Jan 23, 02:00 | Jan 23, 15:00 | Long | $0.0591 | $0.0586 | -0.85% |
| Jan 21, 20:00 | Jan 22, 12:00 | Long | $0.0595 | $0.0588 | -1.18% |
| Jan 21, 14:00 | Jan 21, 17:00 | Long | $0.0600 | $0.0580 | -3.33% |
| Jan 21, 01:00 | Jan 21, 12:00 | Long | $0.0593 | $0.0586 | -1.18% |
| Jan 19, 16:00 | Jan 20, 09:00 | Long | $0.0614 | $0.0600 | -2.28% |
| Jan 18, 16:00 | Jan 18, 23:00 | Long | $0.0659 | $0.0645 | -2.12% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (26.14%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.81x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 88 trade count provides excellent statistical significance for performance evaluation.
Volatility-adjusted sizing: reduce position size when ONT ATR exceeds 150% of average.
The algorithm's entry timing is optimized for early-trend participation on the 1h chart.
Consider testing Bollinger Band periods of 18-22 candles for potential ONT optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for ONT with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- 26.14% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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