EGLD 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 26, 02:00 | Jan 27, 07:00 | Long | $5.6900 | $5.7600 | +1.23% |
| Jan 25, 15:00 | Jan 25, 16:00 | Long | $5.8300 | $5.6900 | -2.4% |
| Jan 24, 23:00 | Jan 25, 01:00 | Long | $5.9300 | $5.8700 | -1.01% |
| Jan 24, 10:00 | Jan 24, 15:00 | Long | $5.9600 | $5.9100 | -0.84% |
| Jan 24, 06:00 | Jan 24, 07:00 | Long | $5.9700 | $5.9300 | -0.67% |
| Jan 23, 17:00 | Jan 23, 20:00 | Long | $6.0700 | $5.9000 | -2.8% |
| Jan 23, 13:00 | Jan 23, 16:00 | Long | $6.0400 | $5.9600 | -1.32% |
| Jan 22, 23:00 | Jan 23, 10:00 | Long | $5.9600 | $5.9500 | -0.17% |
| Jan 21, 19:00 | Jan 22, 08:00 | Long | $6.0100 | $6.0100 | 0% |
| Jan 21, 01:00 | Jan 21, 17:00 | Long | $6.0000 | $5.8400 | -2.67% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (25.32%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
At 0.75x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 79 trade count provides excellent statistical significance for performance evaluation.
Volatility clustering in EGLD may cause consecutive signals—beware of correlation between trades.
The 1h timeframe captures optimal trade duration for EGLD's typical move completion.
Time-of-day filtering may improve results: analyze when EGLD shows strongest MACD response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for EGLD with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with EGLD.
- Automated execution recommended.
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