RAY MACD 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 26, 03:00 | Jan 27, 06:00 | Long | $0.9600 | $0.9750 | +1.56% |
| Jan 25, 11:00 | Jan 25, 14:00 | Long | $1.0150 | $1.0030 | -1.18% |
| Jan 24, 23:00 | Jan 25, 07:00 | Long | $1.0060 | $1.0020 | -0.4% |
| Jan 24, 03:00 | Jan 24, 14:00 | Long | $1.0170 | $1.0060 | -1.08% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $1.0390 | $1.0040 | -3.37% |
| Jan 21, 01:00 | Jan 22, 08:00 | Long | $0.9930 | $1.0350 | +4.23% |
| Jan 19, 12:00 | Jan 20, 08:00 | Long | $1.0390 | $1.0040 | -3.37% |
| Jan 18, 14:00 | Jan 19, 00:00 | Long | $1.1200 | $1.0220 | -8.75% |
| Jan 18, 12:00 | Jan 18, 13:00 | Long | $1.1190 | $1.1090 | -0.89% |
| Jan 16, 18:00 | Jan 17, 18:00 | Long | $1.1310 | $1.1440 | +1.15% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (36.11%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low PF (1.02) combined with this win rate makes the setup high-variance. Trade cautiously.
The 72 trade count provides excellent statistical significance for performance evaluation.
Time-of-day filtering may improve results: analyze when RAY shows strongest MACD response.
Volatility-adjusted sizing: reduce position size when RAY ATR exceeds 150% of average.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for RAY with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on RAY.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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