RED 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 3, 05:00 | Jan 16, 14:00 | Long | $0.2300 | $0.2474 | +7.57% |
| Dec 25, 04:00 | Dec 30, 12:00 | Long | $0.2237 | $0.2140 | -4.34% |
| Dec 7, 23:00 | Dec 8, 00:00 | Long | $0.2581 | $0.2504 | -2.98% |
| Dec 7, 07:00 | Dec 7, 15:00 | Long | $0.2771 | $0.2646 | -4.51% |
| Dec 4, 03:00 | Dec 6, 23:00 | Long | $0.3287 | $0.2631 | -19.96% |
| Nov 27, 10:00 | Dec 1, 12:00 | Long | $0.2714 | $0.2438 | -10.17% |
| Nov 8, 08:00 | Nov 13, 06:00 | Long | $0.3222 | $0.3159 | -1.96% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 14.29% accuracy warns of extended losing streaks. Psychological preparation is essential for this RED setup.
At 0.13x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The small sample (7 trades) means results should be interpreted with caution.
Best results occur when RED's 1h trend aligns with higher timeframe momentum.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Historical analysis suggests reducing position size by 50% during VIX spikes above 30.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for RED with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Golden Cross rules are fully automatable.
- No discretionary decisions in entry/exit logic.
- Bot execution eliminates emotional trading on RED.
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