A 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 14, 19:00 | Jan 16, 09:00 | Long | $0.1809 | $0.1502 | -16.97% |
| Dec 31, 03:00 | Jan 9, 13:00 | Long | $0.1652 | $0.1748 | +5.81% |
| Dec 21, 18:00 | Dec 26, 07:00 | Long | $0.1614 | $0.1552 | -3.84% |
| Nov 7, 17:00 | Nov 13, 04:00 | Long | $0.2985 | $0.2702 | -9.48% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (25%) is common for breakout strategies on volatile assets like A. Focus on risk per trade.
Low profit factor (0.15) indicates potential parameter optimization is needed for A.
The limited 4 sample size suggests viewing this as indicative rather than conclusive.
Kelly Criterion suggests minimal position sizing for this edge.
This Golden Cross setup on A shows increased effectiveness during moderate volatility regimes.
The 1h chart captures A's characteristic momentum cycles effectively.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for A with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 25% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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