PYTH Ichimoku Cloud 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 27, 18:00 | Long | $0.0588 | $0.0614 | +4.42% |
| Jan 24, 11:00 | Jan 24, 19:00 | Long | $0.0589 | $0.0583 | -1.02% |
| Jan 23, 03:00 | Jan 23, 10:00 | Long | $0.0587 | $0.0578 | -1.53% |
| Jan 17, 01:00 | Jan 18, 01:00 | Long | $0.0667 | $0.0661 | -0.9% |
| Jan 11, 13:00 | Jan 11, 20:00 | Long | $0.0682 | $0.0669 | -1.91% |
| Jan 5, 18:00 | Jan 6, 18:00 | Long | $0.0702 | $0.0690 | -1.71% |
| Jan 4, 00:00 | Jan 5, 11:00 | Long | $0.0638 | $0.0672 | +5.33% |
| Jan 1, 12:00 | Jan 3, 15:00 | Long | $0.0570 | $0.0632 | +10.88% |
| Dec 29, 08:00 | Dec 29, 11:00 | Long | $0.0625 | $0.0609 | -2.56% |
| Dec 27, 20:00 | Dec 28, 18:00 | Long | $0.0603 | $0.0607 | +0.66% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 23.08% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low profit factor (0.38) indicates potential parameter optimization is needed for PYTH.
The 26 signals offer many compounding opportunities but require strict execution discipline.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Compound growth strategy: reinvest 25% of profits into position size.
The 1h chart captures PYTH's characteristic momentum cycles effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Ichimoku Cloud signal for PYTH with live market data, AI analysis, and trading recommendations.
About The Ichimoku Cloud Strategy
Backtest Methodology
Key Takeaways
- Best performance in trending PYTH markets.
- 1h resolution captures key reversals.
- Avoid during low-liquidity sessions.
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