SHIB 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 |
|---|---|---|---|---|---|
| Jan 5, 16:00 | Jan 16, 15:00 | Long | $0.00000983 | $0.00000823 | -16.28% |
| Dec 26, 02:00 | Jan 3, 07:00 | Long | $0.00000726 | $0.00000786 | +8.26% |
| Dec 19, 03:00 | Dec 21, 13:00 | Long | $0.00000733 | $0.00000720 | -1.77% |
| Dec 17, 15:00 | Dec 17, 16:00 | Long | $0.00000796 | $0.00000758 | -4.77% |
| Dec 2, 14:00 | Dec 15, 15:00 | Long | $0.00000824 | $0.00000790 | -4.13% |
| Nov 28, 08:00 | Dec 1, 00:00 | Long | $0.00000896 | $0.00000797 | -11.05% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (16.67%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.17x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 6 trades, this is a patient, low-frequency strategy for SHIB.
Time-of-day filtering may improve results: analyze when SHIB shows strongest Supertrend response.
This Supertrend setup on SHIB shows increased effectiveness during moderate volatility regimes.
Volatility-adjusted sizing: reduce position size when SHIB ATR exceeds 150% of average.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for SHIB 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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