PYTH / USDT1h
PYTH EMA Cross (9/21) Strategy (1h) - Backtest Results
Price Action & Trades
PYTH / 1h
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 26, 08:00 | Jan 27, 09:00 | Long | $0.0583 | $0.0578 | -0.86% |
| Jan 24, 04:00 | Jan 25, 16:00 | Long | $0.0582 | $0.0569 | -2.23% |
| Jan 23, 17:00 | Jan 23, 21:00 | Long | $0.0594 | $0.0573 | -3.54% |
| Jan 23, 03:00 | Jan 23, 15:00 | Long | $0.0587 | $0.0575 | -2.04% |
| Jan 21, 20:00 | Jan 22, 12:00 | Long | $0.0584 | $0.0578 | -1.03% |
| Jan 21, 16:00 | Jan 21, 17:00 | Long | $0.0581 | $0.0564 | -2.93% |
| Jan 21, 08:00 | Jan 21, 12:00 | Long | $0.0581 | $0.0565 | -2.75% |
| Jan 16, 22:00 | Jan 18, 02:00 | Long | $0.0672 | $0.0659 | -1.93% |
| Jan 13, 07:00 | Jan 14, 23:00 | Long | $0.0660 | $0.0695 | +5.3% |
| Jan 11, 08:00 | Jan 11, 20:00 | Long | $0.0679 | $0.0669 | -1.47% |
Entry DateJan 26, 08:00
Exit DateJan 27, 09:00
TypeLong
Entry Price$0.0583
Exit Price$0.0578
PnL-0.86%
Entry DateJan 24, 04:00
Exit DateJan 25, 16:00
TypeLong
Entry Price$0.0582
Exit Price$0.0569
PnL-2.23%
Entry DateJan 23, 17:00
Exit DateJan 23, 21:00
TypeLong
Entry Price$0.0594
Exit Price$0.0573
PnL-3.54%
Entry DateJan 23, 03:00
Exit DateJan 23, 15:00
TypeLong
Entry Price$0.0587
Exit Price$0.0575
PnL-2.04%
Entry DateJan 21, 20:00
Exit DateJan 22, 12:00
TypeLong
Entry Price$0.0584
Exit Price$0.0578
PnL-1.03%
Entry DateJan 21, 16:00
Exit DateJan 21, 17:00
TypeLong
Entry Price$0.0581
Exit Price$0.0564
PnL-2.93%
Entry DateJan 21, 08:00
Exit DateJan 21, 12:00
TypeLong
Entry Price$0.0581
Exit Price$0.0565
PnL-2.75%
Entry DateJan 16, 22:00
Exit DateJan 18, 02:00
TypeLong
Entry Price$0.0672
Exit Price$0.0659
PnL-1.93%
Entry DateJan 13, 07:00
Exit DateJan 14, 23:00
TypeLong
Entry Price$0.0660
Exit Price$0.0695
PnL+5.3%
Entry DateJan 11, 08:00
Exit DateJan 11, 20:00
TypeLong
Entry Price$0.0679
Exit Price$0.0669
PnL-1.47%
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Equity Curve
$-494.25
AI Deep AnalysisPowered by algorithmic insights
Performance Assessment
With only 18% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Risk-Reward Profile
The 0.42 ratio warns: this EMA Cross (9/21) on PYTH requires near-perfect execution to profit.
Signal Frequency
This volume (50 trades) means the EMA Cross (9/21) is highly responsive to PYTH price action.
Trend Compatibility
Trend identification is built-in: EMA Cross (9/21) only triggers when momentum confirms PYTH direction.
Optimization Insight
Consider adaptive parameters that adjust to PYTH's current volatility regime.
Position Sizing
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Analysis based on 50 trades
Review Recommended
Performance Metrics
Win Rate
18%Profit Factor
0.42Total Trades
50Data Period
Last 3 MonthsAbout The EMA Cross (9/21) Strategy
Following a rigorous backtesting phase, this PYTH EMA Cross (9/21) bot is Trend-following PYTH strategy delivers 0.42x returns over 50 signals.
Backtest Methodology
Every metric shown for PYTH is fully reproducible. The 50 trades on the 1h chart follow documented rules with no discretionary elements. Any user applying identical parameters should achieve results consistent with our 18% accuracy.
Key Takeaways
- Expect 3-5 consecutive losses at 18% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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