PYTH / USDT1h
PYTH 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 25, 19:00 | Jan 26, 10:00 | Long | $0.0554 | $0.0578 | +4.33% |
| Jan 19, 00:00 | Jan 23, 05:00 | Long | $0.0583 | $0.0588 | +0.86% |
| Jan 15, 03:00 | Jan 16, 09:00 | Long | $0.0676 | $0.0653 | -3.4% |
| Jan 7, 22:00 | Jan 13, 11:00 | Long | $0.0682 | $0.0671 | -1.61% |
| Dec 28, 21:00 | Jan 1, 10:00 | Long | $0.0600 | $0.0568 | -5.33% |
| Dec 26, 16:00 | Dec 28, 00:00 | Long | $0.0593 | $0.0616 | +3.88% |
| Dec 22, 22:00 | Dec 24, 22:00 | Long | $0.0588 | $0.0585 | -0.51% |
| Dec 21, 12:00 | Dec 22, 08:00 | Long | $0.0599 | $0.0607 | +1.34% |
| Dec 15, 15:00 | Dec 19, 09:00 | Long | $0.0598 | $0.0564 | -5.69% |
| Dec 14, 08:00 | Dec 15, 11:00 | Long | $0.0640 | $0.0628 | -1.88% |
Entry DateJan 25, 19:00
Exit DateJan 26, 10:00
TypeLong
Entry Price$0.0554
Exit Price$0.0578
PnL+4.33%
Entry DateJan 19, 00:00
Exit DateJan 23, 05:00
TypeLong
Entry Price$0.0583
Exit Price$0.0588
PnL+0.86%
Entry DateJan 15, 03:00
Exit DateJan 16, 09:00
TypeLong
Entry Price$0.0676
Exit Price$0.0653
PnL-3.4%
Entry DateJan 7, 22:00
Exit DateJan 13, 11:00
TypeLong
Entry Price$0.0682
Exit Price$0.0671
PnL-1.61%
Entry DateDec 28, 21:00
Exit DateJan 1, 10:00
TypeLong
Entry Price$0.0600
Exit Price$0.0568
PnL-5.33%
Entry DateDec 26, 16:00
Exit DateDec 28, 00:00
TypeLong
Entry Price$0.0593
Exit Price$0.0616
PnL+3.88%
Entry DateDec 22, 22:00
Exit DateDec 24, 22:00
TypeLong
Entry Price$0.0588
Exit Price$0.0585
PnL-0.51%
Entry DateDec 21, 12:00
Exit DateDec 22, 08:00
TypeLong
Entry Price$0.0599
Exit Price$0.0607
PnL+1.34%
Entry DateDec 15, 15:00
Exit DateDec 19, 09:00
TypeLong
Entry Price$0.0598
Exit Price$0.0564
PnL-5.69%
Entry DateDec 14, 08:00
Exit DateDec 15, 11:00
TypeLong
Entry Price$0.0640
Exit Price$0.0628
PnL-1.88%
Page 1 of 3
Equity Curve
$-186.84
AI Deep AnalysisPowered by algorithmic insights
Performance Assessment
At 45.83% accuracy, trade selection becomes important. Consider filtering signals during high-volatility events.
Risk-Reward Profile
At 0.68x, consider wider stop-losses to improve average win size on PYTH.
Signal Frequency
At 24 trades, the algorithm filters noise while capturing significant PYTH moves.
Optimization Insight
Consider testing Bollinger Band periods of 18-22 candles for potential PYTH optimization.
Position Sizing
Kelly Criterion suggests minimal position sizing for this edge.
Timeframe Analysis
Consider 1h for entries but monitor daily charts for overall trend context.
Analysis based on 24 trades
Moderate Confidence
Performance Metrics
Win Rate
45.83%Profit Factor
0.68Total Trades
24Data Period
Last 3 MonthsSee Live Signal
Real-time technical analysis
View the current RSI signal for PYTH with live market data, AI analysis, and trading recommendations.
PYTH1hLIVE
About The RSI Strategy
Current market analysis for PYTH using the RSI methodology shows a bot PYTH backtesting shows 46% accuracy across 24 1h signals with profit factor data.
Backtest Methodology
Our methodology for PYTH evolves with market structure changes. The 45.83% success rate across 24 trades on 1h charts reflects our latest testing protocols, updated to account for current volatility regimes and liquidity conditions.
Key Takeaways
- 45.83% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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