OM 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 15, 00:00 | Jan 16, 00:00 | Long | $0.0787 | $0.0750 | -4.7% |
| Jan 3, 03:00 | Jan 10, 06:00 | Long | $0.0762 | $0.0777 | +1.97% |
| Dec 25, 10:00 | Dec 30, 19:00 | Long | $0.0751 | $0.0707 | -5.86% |
| Dec 18, 02:00 | Dec 19, 09:00 | Long | $0.0695 | $0.0705 | +1.44% |
| Dec 10, 02:00 | Dec 11, 00:00 | Long | $0.0760 | $0.0732 | -3.68% |
| Nov 26, 13:00 | Dec 1, 06:00 | Long | $0.0895 | $0.0724 | -19.11% |
| Nov 9, 04:00 | Nov 12, 21:00 | Long | $0.0943 | $0.0919 | -2.55% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 28.57% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low profit factor (0.08) indicates potential parameter optimization is needed for OM.
At 7 trades, each position carries higher significance. No room for poor execution.
The 1h chart captures OM's characteristic momentum cycles effectively.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
The algorithm capitalizes on OM's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for OM with live market data, AI analysis, and trading recommendations.
About The Golden Cross 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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