REZ 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 12, 05:00 | Jan 16, 19:00 | Long | $0.005800 | $0.005280 | -8.97% |
| Dec 31, 03:00 | Jan 8, 20:00 | Long | $0.004890 | $0.005360 | +9.61% |
| Dec 25, 18:00 | Dec 30, 05:00 | Long | $0.004670 | $0.004470 | -4.28% |
| Nov 26, 01:00 | Nov 29, 17:00 | Long | $0.007070 | $0.006550 | -7.36% |
| Nov 20, 15:00 | Nov 22, 14:00 | Long | $0.007820 | $0.006480 | -17.14% |
| Nov 9, 12:00 | Nov 13, 10:00 | Long | $0.007880 | $0.007570 | -3.93% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 16.67% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.16x, consider wider stop-losses to improve average win size on REZ.
At 6 trades, each position carries higher significance. No room for poor execution.
Consider testing Bollinger Band periods of 18-22 candles for potential REZ optimization.
Volatility-adjusted sizing: reduce position size when REZ ATR exceeds 150% of average.
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 REZ with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with REZ.
- Automated execution recommended.
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