BCH 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 11, 10:00 | Jan 13, 05:00 | Long | $654.3 | $615 | -6.01% |
| Jan 3, 14:00 | Jan 10, 07:00 | Long | $638.3 | $638.4 | +0.02% |
| Dec 26, 10:00 | Jan 1, 05:00 | Long | $605.6 | $596.6 | -1.49% |
| Dec 19, 16:00 | Dec 25, 00:00 | Long | $598.6 | $569.3 | -4.89% |
| Dec 13, 22:00 | Dec 14, 07:00 | Long | $575.2 | $575.2 | 0% |
| Dec 3, 08:00 | Dec 10, 14:00 | Long | $578.1 | $568 | -1.75% |
| Nov 22, 07:00 | Nov 29, 16:00 | Long | $533.8 | $526.2 | -1.42% |
| Nov 10, 14:00 | Nov 15, 05:00 | Long | $518.8 | $496.9 | -4.22% |
| Oct 24, 12:00 | Nov 2, 16:00 | Long | $502.1 | $535.4 | +6.63% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 11.11% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.28x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
Low activity (9 signals) indicates the Golden Cross waits for high-conviction setups only.
The 1h timeframe captures optimal trade duration for BCH's typical move completion.
Compound growth strategy: reinvest 25% of profits into position size.
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 BCH 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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