RAY Golden Cross 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 14, 09:00 | Jan 16, 15:00 | Long | $1.2350 | $1.1080 | -10.28% |
| Jan 2, 03:00 | Jan 13, 06:00 | Long | $0.9880 | $1.1630 | +17.71% |
| Dec 28, 01:00 | Dec 31, 09:00 | Long | $0.9300 | $0.9060 | -2.58% |
| Dec 26, 07:00 | Dec 27, 18:00 | Long | $0.9040 | $0.9130 | +1% |
| Dec 3, 23:00 | Dec 11, 17:00 | Long | $1.1430 | $1.0870 | -4.9% |
| Nov 26, 14:00 | Dec 1, 00:00 | Long | $1.0950 | $0.9970 | -8.95% |
| Nov 10, 03:00 | Nov 14, 17:00 | Long | $1.5350 | $1.3680 | -10.88% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (28.57%) is common for breakout strategies on volatile assets like RAY. Focus on risk per trade.
At 0.39x, consider wider stop-losses to improve average win size on RAY.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Compound growth strategy: reinvest 25% of profits into position size.
Consider 1h for entries but monitor daily charts for overall trend context.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for RAY with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- 28.57% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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