BICO 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, 15:00 | Jan 9, 18:00 | Long | $0.0443 | $0.0457 | +3.16% |
| Dec 25, 18:00 | Dec 31, 04:00 | Long | $0.0430 | $0.0414 | -3.72% |
| Nov 19, 19:00 | Nov 30, 01:00 | Long | $0.0601 | $0.0611 | +1.66% |
| Nov 5, 22:00 | Nov 12, 14:00 | Long | $0.0630 | $0.0607 | -3.65% |
| Oct 26, 22:00 | Oct 29, 09:00 | Long | $0.0664 | $0.0630 | -5.12% |
| Oct 25, 22:00 | Oct 26, 06:00 | Long | $0.0658 | $0.0644 | -2.13% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (33.33%) is common for breakout strategies on volatile assets like BICO. Focus on risk per trade.
Low profit factor (0.28) indicates potential parameter optimization is needed for BICO.
The limited 6 sample size suggests viewing this as indicative rather than conclusive.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Compound growth strategy: reinvest 25% of profits into position size.
The 1h chart captures BICO's characteristic momentum cycles effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for BICO 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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