BOME 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 2, 16:00 | Jan 10, 00:00 | Long | $0.000639 | $0.000711 | +11.27% |
| Dec 28, 02:00 | Dec 30, 04:00 | Long | $0.000592 | $0.000538 | -9.12% |
| Dec 26, 12:00 | Dec 27, 09:00 | Long | $0.000583 | $0.000576 | -1.2% |
| Dec 8, 13:00 | Dec 12, 03:00 | Long | $0.000725 | $0.000696 | -4% |
| Dec 4, 14:00 | Dec 5, 13:00 | Long | $0.000711 | $0.000687 | -3.38% |
| Nov 26, 11:00 | Dec 1, 02:00 | Long | $0.000721 | $0.000651 | -9.71% |
| Nov 8, 19:00 | Nov 13, 16:00 | Long | $0.000927 | $0.000871 | -6.04% |
| Oct 25, 11:00 | Oct 29, 15:00 | Long | $0.001070 | $0.001041 | -2.71% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 12.5% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.27x, consider wider stop-losses to improve average win size on BOME.
At 8 trades, each position carries higher significance. No room for poor execution.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Best results occur when BOME's 1h trend aligns with higher timeframe momentum.
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 BOME 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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