FET 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 4, 00:00 | Jan 18, 23:00 | Long | $0.2541 | $0.2636 | +3.74% |
| Dec 26, 02:00 | Dec 31, 17:00 | Long | $0.2116 | $0.2008 | -5.1% |
| Dec 19, 03:00 | Dec 21, 13:00 | Long | $0.2033 | $0.2013 | -0.98% |
| Dec 2, 14:00 | Dec 15, 15:00 | Long | $0.2464 | $0.2269 | -7.91% |
| Nov 19, 21:00 | Dec 1, 00:00 | Long | $0.3280 | $0.2326 | -29.09% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 20% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.07x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The limited 5 sample size suggests viewing this as indicative rather than conclusive.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Compound growth strategy: reinvest 25% of profits into position size.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for FET with live market data, AI analysis, and trading recommendations.
About The Supertrend Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with FET.
- Automated execution recommended.
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