BAT 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 18, 02:00 | Jan 21, 00:00 | Long | $0.2074 | $0.1919 | -7.47% |
| Jan 2, 19:00 | Jan 8, 11:00 | Long | $0.2235 | $0.2078 | -7.02% |
| Dec 26, 07:00 | Dec 30, 21:00 | Long | $0.2145 | $0.2134 | -0.51% |
| Dec 9, 16:00 | Dec 15, 12:00 | Long | $0.2717 | $0.2443 | -10.08% |
| Nov 22, 17:00 | Dec 6, 05:00 | Long | $0.1948 | $0.2549 | +30.85% |
| Nov 21, 19:00 | Nov 22, 10:00 | Long | $0.1766 | $0.1808 | +2.38% |
| Nov 21, 06:00 | Nov 21, 08:00 | Long | $0.1704 | $0.1684 | -1.17% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (28.57%) is common for breakout strategies on volatile assets like BAT. Focus on risk per trade.
Low profit factor (1.04) indicates potential parameter optimization is needed for BAT.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
Historical analysis suggests reducing position size by 50% during VIX spikes above 30.
BAT liquidity levels support clean Golden Cross execution without significant slippage impact.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for BAT with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Golden Cross rules are fully automatable.
- No discretionary decisions in entry/exit logic.
- Bot execution eliminates emotional trading on BAT.
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