MINA 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, 10:00 | Jan 28, 04:00 | Long | $0.0853 | $0.0868 | +1.76% |
| Jan 26, 19:00 | Jan 27, 06:00 | Long | $0.0852 | $0.0846 | -0.7% |
| Jan 26, 01:00 | Jan 26, 09:00 | Long | $0.0872 | $0.0841 | -3.56% |
| Jan 25, 06:00 | Jan 25, 16:00 | Long | $0.0888 | $0.0842 | -5.18% |
| Jan 24, 11:00 | Jan 24, 21:00 | Long | $0.0885 | $0.0876 | -1.02% |
| Jan 23, 02:00 | Jan 23, 10:00 | Long | $0.0924 | $0.0909 | -1.62% |
| Jan 21, 01:00 | Jan 22, 12:00 | Long | $0.0822 | $0.0908 | +10.46% |
| Jan 19, 13:00 | Jan 20, 06:00 | Long | $0.0837 | $0.0842 | +0.6% |
| Jan 18, 13:00 | Jan 18, 23:00 | Long | $0.0882 | $0.0870 | -1.36% |
| Jan 16, 05:00 | Jan 17, 17:00 | Long | $0.0856 | $0.0899 | +5.02% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (36%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
This 1.46 profit factor is typical for 1h trading on mid-cap assets like MINA.
The 75 trade count provides excellent statistical significance for performance evaluation.
Time-of-day filtering may improve results: analyze when MINA shows strongest MACD response.
Volatility clustering in MINA may cause consecutive signals—beware of correlation between trades.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for MINA with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Clear rules-based system for MINA.
- MACD is beginner-friendly indicator.
- 1h gives time to analyze before action.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us