BAT MACD 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 27, 19:00 | Jan 28, 05:00 | Long | $0.1736 | $0.1717 | -1.09% |
| Jan 26, 02:00 | Jan 27, 03:00 | Long | $0.1695 | $0.1732 | +2.18% |
| Jan 25, 10:00 | Jan 25, 13:00 | Long | $0.1782 | $0.1762 | -1.12% |
| Jan 24, 12:00 | Jan 24, 17:00 | Long | $0.1837 | $0.1815 | -1.2% |
| Jan 23, 17:00 | Jan 24, 01:00 | Long | $0.1921 | $0.1840 | -4.22% |
| Jan 23, 01:00 | Jan 23, 09:00 | Long | $0.1889 | $0.1847 | -2.22% |
| Jan 21, 21:00 | Jan 22, 13:00 | Long | $0.1905 | $0.1865 | -2.1% |
| Jan 21, 02:00 | Jan 21, 13:00 | Long | $0.1968 | $0.1903 | -3.3% |
| Jan 19, 23:00 | Jan 20, 07:00 | Long | $0.2058 | $0.2010 | -2.33% |
| Jan 19, 07:00 | Jan 19, 15:00 | Long | $0.2070 | $0.2011 | -2.85% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 29.89% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low PF (1.06) combined with this win rate makes the setup high-variance. Trade cautiously.
This volume (87 trades) means the MACD is highly responsive to BAT price action.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Consider adaptive parameters that adjust to BAT's current volatility regime.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for BAT with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on BAT.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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