EGLD Golden Cross 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 11, 02:00 | Jan 12, 14:00 | Long | $6.2500 | $6.0100 | -3.84% |
| Jan 3, 14:00 | Jan 9, 10:00 | Long | $6.1100 | $5.9600 | -2.45% |
| Dec 4, 06:00 | Dec 11, 18:00 | Long | $7.4900 | $7.6000 | +1.47% |
| Nov 26, 13:00 | Nov 29, 13:00 | Long | $7.7500 | $7.2400 | -6.58% |
| Nov 8, 05:00 | Nov 13, 17:00 | Long | $9.9400 | $8.9500 | -9.96% |
| Oct 25, 03:00 | Oct 29, 07:00 | Long | $9.7700 | $9.6200 | -1.54% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 16.67% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low PF (0.05) combined with this win rate makes the setup high-variance. Trade cautiously.
At 6 trades, each position carries higher significance. No room for poor execution.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Compound growth strategy: reinvest 25% of profits into position size.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for EGLD with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- 1h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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