OP 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, 07:00 | Long | $0.2971 | $0.2991 | +0.67% |
| Jan 26, 02:00 | Jan 27, 05:00 | Long | $0.2916 | $0.2964 | +1.65% |
| Jan 25, 10:00 | Jan 25, 14:00 | Long | $0.3056 | $0.2984 | -2.36% |
| Jan 24, 20:00 | Jan 25, 04:00 | Long | $0.3033 | $0.3011 | -0.73% |
| Jan 24, 08:00 | Jan 24, 16:00 | Long | $0.3043 | $0.3010 | -1.08% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $0.3160 | $0.3037 | -3.89% |
| Jan 23, 02:00 | Jan 23, 10:00 | Long | $0.3119 | $0.3082 | -1.19% |
| Jan 21, 21:00 | Jan 22, 11:00 | Long | $0.3155 | $0.3128 | -0.86% |
| Jan 21, 01:00 | Jan 21, 17:00 | Long | $0.3078 | $0.2974 | -3.38% |
| Jan 19, 14:00 | Jan 20, 08:00 | Long | $0.3115 | $0.3102 | -0.42% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (30.59%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low PF (0.79) combined with this win rate makes the setup high-variance. Trade cautiously.
The 85 trade count provides excellent statistical significance for performance evaluation.
Best results occur when OP's 1h trend aligns with higher timeframe momentum.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Volatility clustering in OP may cause consecutive signals—beware of correlation between trades.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for OP with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- MACD generates clear entry/exit signals.
- No parameter optimization needed for OP.
- Robust across multiple market regimes.
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