RAY 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 21, 15:00 | Jan 25, 16:00 | Long | $1.0270 | $0.9710 | -5.45% |
| Jan 1, 09:00 | Jan 18, 23:00 | Long | $0.9190 | $1.0980 | +19.48% |
| Dec 9, 15:00 | Dec 12, 15:00 | Long | $1.1790 | $1.0800 | -8.4% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 33.33% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
The 1.15 ratio warns: this Supertrend on RAY requires near-perfect execution to profit.
At 3 trades, each position carries higher significance. No room for poor execution.
Consider testing Bollinger Band periods of 18-22 candles for potential RAY optimization.
Low volatility periods may reduce signal frequency but improve individual trade quality for RAY.
Volatility-adjusted sizing: reduce position size when RAY ATR exceeds 150% of average.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Supertrend signal for RAY 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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