PENGU Supertrend Strategy (1h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Dec 24, 16:00 | Jan 16, 15:00 | Long | $0.009165 | $0.0117 | +28.09% |
| Dec 17, 14:00 | Dec 21, 13:00 | Long | $0.0103 | $0.008790 | -15.04% |
| Dec 2, 14:00 | Dec 12, 15:00 | Long | $0.0109 | $0.0108 | -1.37% |
| Nov 26, 17:00 | Dec 1, 00:00 | Long | $0.0115 | $0.009832 | -14.56% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 25% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low profit factor (0.76) indicates potential parameter optimization is needed for PENGU.
Low activity (4 signals) indicates the Supertrend waits for high-conviction setups only.
Kelly Criterion suggests minimal position sizing for this edge.
Consider testing Bollinger Band periods of 18-22 candles for potential PENGU optimization.
Best results occur when PENGU's 1h trend aligns with higher timeframe momentum.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for PENGU with live market data, AI analysis, and trading recommendations.
About The Supertrend 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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