POWR 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 30, 00:00 | Jan 11, 20:00 | Long | $0.0853 | $0.0930 | +9.03% |
| Dec 18, 13:00 | Dec 21, 13:00 | Long | $0.0774 | $0.0751 | -2.97% |
| Dec 2, 15:00 | Dec 12, 15:00 | Long | $0.0936 | $0.0847 | -9.51% |
| Nov 20, 12:00 | Nov 20, 16:00 | Long | $0.0983 | $0.0921 | -6.31% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 25% accuracy warns of extended losing streaks. Psychological preparation is essential for this POWR setup.
Low profit factor (0.44) indicates potential parameter optimization is needed for POWR.
The limited 4 sample size suggests viewing this as indicative rather than conclusive.
The 1h chart captures POWR's characteristic momentum cycles effectively.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Time-of-day filtering may improve results: analyze when POWR shows strongest Supertrend response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for POWR 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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