A 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 7, 23:00 | Jan 8, 01:00 | Long | $0.1792 | $0.1761 | -1.73% |
| Jan 6, 14:00 | Jan 6, 15:00 | Long | $0.1900 | $0.1879 | -1.11% |
| Jan 5, 14:00 | Jan 6, 06:00 | Long | $0.1810 | $0.1879 | +3.81% |
| Jan 5, 01:00 | Jan 5, 04:00 | Long | $0.1812 | $0.1770 | -2.32% |
| Jan 4, 16:00 | Jan 4, 19:00 | Long | $0.1785 | $0.1766 | -1.06% |
| Jan 3, 18:00 | Jan 4, 09:00 | Long | $0.1741 | $0.1759 | +1.03% |
| Jan 1, 04:00 | Jan 3, 05:00 | Long | $0.1587 | $0.1725 | +8.7% |
| Dec 30, 06:00 | Dec 31, 06:00 | Long | $0.1567 | $0.1623 | +3.57% |
| Dec 29, 03:00 | Dec 29, 11:00 | Long | $0.1604 | $0.1575 | -1.81% |
| Dec 27, 00:00 | Dec 28, 12:00 | Long | $0.1526 | $0.1591 | +4.26% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (22.73%) is common for breakout strategies on volatile assets like A. Focus on risk per trade.
Low profit factor (0.41) indicates potential parameter optimization is needed for A.
With 88 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
The 1h chart captures A's characteristic momentum cycles effectively.
Volatility-adjusted sizing: reduce position size when A ATR exceeds 150% of average.
Consider testing Bollinger Band periods of 18-22 candles for potential A optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for A with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Trailing stops capture extended A moves.
- Take partial profits at 1.5R for MACD trades.
- Exit at 1h candle close for clean fills.
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