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 10, 19:00 | Jan 10, 22:00 | Long | $0.2058 | $0.2043 | -0.73% |
| Jan 10, 11:00 | Jan 10, 18:00 | Long | $0.2064 | $0.2048 | -0.78% |
| Jan 10, 02:00 | Jan 10, 03:00 | Long | $0.2079 | $0.2073 | -0.29% |
| Jan 10, 00:00 | Jan 10, 01:00 | Long | $0.2080 | $0.2077 | -0.14% |
| Jan 8, 15:00 | Jan 9, 20:00 | Long | $0.2105 | $0.2076 | -1.38% |
| Jan 8, 07:00 | Jan 8, 09:00 | Long | $0.2124 | $0.2083 | -1.93% |
| Jan 7, 07:00 | Jan 7, 14:00 | Long | $0.2255 | $0.2181 | -3.28% |
| Jan 6, 13:00 | Jan 6, 16:00 | Long | $0.2288 | $0.2242 | -2.01% |
| Jan 5, 14:00 | Jan 5, 22:00 | Long | $0.2293 | $0.2287 | -0.26% |
| Jan 5, 01:00 | Jan 5, 08:00 | Long | $0.2326 | $0.2244 | -3.53% |
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 (1.04) 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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