IOTA 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, 22:00 | Jan 27, 06:00 | Long | $0.0870 | $0.0856 | -1.61% |
| Jan 26, 00:00 | Jan 26, 17:00 | Long | $0.0834 | $0.0856 | +2.64% |
| Jan 23, 17:00 | Jan 23, 21:00 | Long | $0.0906 | $0.0878 | -3.09% |
| Jan 23, 02:00 | Jan 23, 15:00 | Long | $0.0905 | $0.0879 | -2.87% |
| Jan 21, 20:00 | Jan 22, 12:00 | Long | $0.0892 | $0.0895 | +0.34% |
| Jan 21, 01:00 | Jan 21, 12:00 | Long | $0.0859 | $0.0848 | -1.28% |
| Jan 20, 13:00 | Jan 20, 17:00 | Long | $0.0861 | $0.0831 | -3.48% |
| Jan 19, 09:00 | Jan 20, 05:00 | Long | $0.0861 | $0.0844 | -1.97% |
| Jan 18, 16:00 | Jan 18, 17:00 | Long | $0.0930 | $0.0923 | -0.75% |
| Jan 16, 21:00 | Jan 17, 21:00 | Long | $0.0955 | $0.0956 | +0.1% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 27.47% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.66x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
This volume (91 trades) means the Parabolic SAR is highly responsive to IOTA price action.
Historical analysis suggests reducing position size by 50% during VIX spikes above 30.
The 1h timeframe captures optimal trade duration for IOTA's typical move completion.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for IOTA with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- 27.47% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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