MASK 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 20, 18:00 | Jan 18, 23:00 | Long | $0.5880 | $0.6640 | +12.93% |
| Dec 9, 15:00 | Dec 12, 15:00 | Long | $0.6670 | $0.5930 | -11.09% |
| Dec 2, 15:00 | Dec 7, 14:00 | Long | $0.6910 | $0.6320 | -8.54% |
| Nov 26, 19:00 | Dec 1, 00:00 | Long | $0.7390 | $0.6690 | -9.47% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (25%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.37x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 4 trades, this is a patient, low-frequency strategy for MASK.
Volatility-adjusted sizing: reduce position size when MASK ATR exceeds 150% of average.
The 1h timeframe captures optimal trade duration for MASK's typical move completion.
Low volatility periods may reduce signal frequency but improve individual trade quality for MASK.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for MASK with live market data, AI analysis, and trading recommendations.
About The Supertrend Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 25% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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