PNUT / USDT1d
PNUT Stochastic RSI Strategy (1d) - Backtest Results
Price Action & Trades
PNUT / 1d
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Dec 20, 00:00 | Dec 29, 00:00 | Long | $0.0716 | $0.0690 | -3.63% |
| Nov 24, 00:00 | Dec 1, 00:00 | Long | $0.0884 | $0.0812 | -8.14% |
| Nov 6, 00:00 | Nov 12, 00:00 | Long | $0.1071 | $0.1106 | +3.27% |
Entry DateDec 20, 00:00
Exit DateDec 29, 00:00
TypeLong
Entry Price$0.0716
Exit Price$0.0690
PnL-3.63%
Entry DateNov 24, 00:00
Exit DateDec 1, 00:00
TypeLong
Entry Price$0.0884
Exit Price$0.0812
PnL-8.14%
Entry DateNov 6, 00:00
Exit DateNov 12, 00:00
TypeLong
Entry Price$0.1071
Exit Price$0.1106
PnL+3.27%
Equity Curve
$-92.25
AI Deep AnalysisPowered by algorithmic insights
Performance Assessment
Low win rate (33.33%) is common for breakout strategies on volatile assets like PNUT. Focus on risk per trade.
Risk-Reward Profile
Low PF (0.36) combined with this win rate makes the setup high-variance. Trade cautiously.
Signal Frequency
With only 3 trades, this is a patient, low-frequency strategy for PNUT.
Optimization Insight
Volume filters may improve win rate: require above-average volume for entry confirmation.
Position Sizing
Kelly Criterion suggests minimal position sizing for this edge.
Analysis based on 3 trades
Review Recommended
Performance Metrics
Win Rate
33.33%Profit Factor
0.36Total Trades
3Data Period
All HistoryAbout The Stochastic RSI Strategy
PNUT Stochastic RSI strategy on 1d charts. Early backtest data available for review.
Backtest Methodology
Realistic slippage is factored into every PNUT backtest. For 1d signals, we model 0.05% average slippage per fill. Across 3 executions, this conservative approach ensures the 33.33% win rate translates to real-world profitability.
Key Takeaways
- Strategy designed for 1d charts.
- Best paired with PNUT.
- Automated execution recommended.
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