PYTH / USDT1h
PYTH Stochastic RSI 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 27, 11:00 | Jan 27, 14:00 | Long | $0.0589 | $0.0584 | -0.85% |
| Jan 25, 23:00 | Jan 26, 11:00 | Long | $0.0562 | $0.0578 | +2.85% |
| Jan 25, 06:00 | Jan 25, 12:00 | Long | $0.0589 | $0.0593 | +0.68% |
| Jan 24, 22:00 | Jan 25, 03:00 | Long | $0.0586 | $0.0588 | +0.34% |
| Jan 23, 17:00 | Jan 24, 16:00 | Long | $0.0594 | $0.0583 | -1.85% |
| Jan 22, 17:00 | Jan 23, 09:00 | Long | $0.0574 | $0.0580 | +1.05% |
| Jan 20, 11:00 | Jan 21, 12:00 | Long | $0.0580 | $0.0565 | -2.59% |
| Jan 19, 04:00 | Jan 20, 02:00 | Long | $0.0596 | $0.0594 | -0.34% |
| Jan 18, 11:00 | Jan 18, 21:00 | Long | $0.0660 | $0.0659 | -0.15% |
| Jan 14, 16:00 | Jan 16, 15:00 | Long | $0.0717 | $0.0636 | -11.3% |
Entry DateJan 27, 11:00
Exit DateJan 27, 14:00
TypeLong
Entry Price$0.0589
Exit Price$0.0584
PnL-0.85%
Entry DateJan 25, 23:00
Exit DateJan 26, 11:00
TypeLong
Entry Price$0.0562
Exit Price$0.0578
PnL+2.85%
Entry DateJan 25, 06:00
Exit DateJan 25, 12:00
TypeLong
Entry Price$0.0589
Exit Price$0.0593
PnL+0.68%
Entry DateJan 24, 22:00
Exit DateJan 25, 03:00
TypeLong
Entry Price$0.0586
Exit Price$0.0588
PnL+0.34%
Entry DateJan 23, 17:00
Exit DateJan 24, 16:00
TypeLong
Entry Price$0.0594
Exit Price$0.0583
PnL-1.85%
Entry DateJan 22, 17:00
Exit DateJan 23, 09:00
TypeLong
Entry Price$0.0574
Exit Price$0.0580
PnL+1.05%
Entry DateJan 20, 11:00
Exit DateJan 21, 12:00
TypeLong
Entry Price$0.0580
Exit Price$0.0565
PnL-2.59%
Entry DateJan 19, 04:00
Exit DateJan 20, 02:00
TypeLong
Entry Price$0.0596
Exit Price$0.0594
PnL-0.34%
Entry DateJan 18, 11:00
Exit DateJan 18, 21:00
TypeLong
Entry Price$0.0660
Exit Price$0.0659
PnL-0.15%
Entry DateJan 14, 16:00
Exit DateJan 16, 15:00
TypeLong
Entry Price$0.0717
Exit Price$0.0636
PnL-11.3%
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Equity Curve
$-363.68
AI Deep AnalysisPowered by algorithmic insights
Performance Assessment
With only 40% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Risk-Reward Profile
Low profit factor (0.57) indicates potential parameter optimization is needed for PYTH.
Signal Frequency
The 60 signals offer many compounding opportunities but require strict execution discipline.
Timeframe Analysis
The 1h chart captures PYTH's characteristic momentum cycles effectively.
Position Sizing
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Optimization Insight
Time-of-day filtering may improve results: analyze when PYTH shows strongest Stochastic RSI response.
Analysis based on 60 trades
Review Recommended
Performance Metrics
Win Rate
40%Profit Factor
0.57Total Trades
60Data Period
Last 3 MonthsAbout The Stochastic RSI Strategy
Systematic evaluation of Stochastic RSI signals on PYTH indicates a system 40% success rate on 1h PYTH.
Backtest Methodology
Understanding the numbers: for PYTH on the 1h chart, we executed 60 paper trades following strict entry/exit rules. The 40% success rate tells you how often the strategy identifies profitable opportunities—a key metric for building trading confidence.
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with PYTH.
- Automated execution recommended.
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