PYTH MACD 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 28, 03:00 | Long | $0.0588 | $0.0615 | +4.59% |
| Jan 26, 02:00 | Jan 27, 05:00 | Long | $0.0580 | $0.0582 | +0.34% |
| Jan 25, 15:00 | Jan 25, 16:00 | Long | $0.0596 | $0.0569 | -4.53% |
| Jan 25, 09:00 | Jan 25, 14:00 | Long | $0.0596 | $0.0588 | -1.34% |
| Jan 25, 00:00 | Jan 25, 04:00 | Long | $0.0591 | $0.0586 | -0.85% |
| Jan 24, 03:00 | Jan 24, 18:00 | Long | $0.0585 | $0.0584 | -0.17% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.0594 | $0.0574 | -3.37% |
| Jan 23, 02:00 | Jan 23, 12:00 | Long | $0.0581 | $0.0578 | -0.52% |
| Jan 21, 19:00 | Jan 22, 07:00 | Long | $0.0584 | $0.0578 | -1.03% |
| Jan 21, 01:00 | Jan 21, 18:00 | Long | $0.0572 | $0.0569 | -0.52% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (24%) is common for breakout strategies on volatile assets like PYTH. Focus on risk per trade.
The 0.66 ratio warns: this MACD on PYTH requires near-perfect execution to profit.
With 75 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Trade duration on 1h typically ranges from 2-5 candles for PYTH positions.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for PYTH with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- MACD generates clear entry/exit signals.
- No parameter optimization needed for PYTH.
- Robust across multiple market regimes.
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