PNUT Golden Cross 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 14, 21:00 | Jan 16, 13:00 | Long | $0.0888 | $0.0832 | -6.31% |
| Jan 2, 06:00 | Jan 9, 19:00 | Long | $0.0808 | $0.0852 | +5.45% |
| Dec 26, 04:00 | Dec 30, 09:00 | Long | $0.0715 | $0.0701 | -1.96% |
| Dec 8, 11:00 | Dec 11, 19:00 | Long | $0.0886 | $0.0828 | -6.55% |
| Dec 4, 08:00 | Dec 5, 23:00 | Long | $0.0905 | $0.0813 | -10.17% |
| Nov 26, 23:00 | Dec 1, 12:00 | Long | $0.0904 | $0.0809 | -10.51% |
| Nov 9, 01:00 | Nov 13, 05:00 | Long | $0.1178 | $0.1142 | -3.06% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (14.29%) is common for breakout strategies on volatile assets like PNUT. Focus on risk per trade.
At 0.13x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
This Golden Cross setup on PNUT shows increased effectiveness during moderate volatility regimes.
Trend identification is built-in: Golden Cross only triggers when momentum confirms PNUT direction.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for PNUT with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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