1000SATS Parabolic SAR Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 20, 16:00 | Jan 25, 16:00 | Long | $0.00001591 | $0.00001533 | -3.65% |
| Jan 13, 16:00 | Jan 18, 04:00 | Long | $0.00002052 | $0.00001874 | -8.67% |
| Jan 9, 16:00 | Jan 11, 20:00 | Long | $0.00001726 | $0.00001637 | -5.16% |
| Jan 6, 20:00 | Jan 7, 16:00 | Long | $0.00001830 | $0.00001739 | -4.97% |
| Jan 1, 08:00 | Jan 5, 04:00 | Long | $0.00001545 | $0.00001729 | +11.91% |
| Dec 28, 00:00 | Dec 29, 12:00 | Long | $0.00001575 | $0.00001536 | -2.48% |
| Dec 24, 20:00 | Dec 27, 00:00 | Long | $0.00001516 | $0.00001533 | +1.12% |
| Dec 19, 08:00 | Dec 21, 12:00 | Long | $0.00001511 | $0.00001488 | -1.52% |
| Dec 16, 16:00 | Dec 17, 16:00 | Long | $0.00001568 | $0.00001458 | -7.02% |
| Dec 13, 00:00 | Dec 14, 12:00 | Long | $0.00001654 | $0.00001639 | -0.91% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 33.33% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low profit factor (0.56) indicates potential parameter optimization is needed for 1000SATS.
This volume (33 trades) means the Parabolic SAR is highly responsive to 1000SATS price action.
Time-of-day filtering may improve results: analyze when 1000SATS shows strongest Parabolic SAR response.
1000SATS liquidity levels support clean Parabolic SAR execution without significant slippage impact.
This Parabolic SAR setup on 1000SATS shows increased effectiveness during moderate volatility regimes.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Parabolic SAR signal for 1000SATS with live market data, AI analysis, and trading recommendations.
About The Parabolic SAR Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 33.33% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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