ETH 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 14, 01:00 | Jan 20, 05:00 | Long | $3,335.68 | $3,167.99 | -5.03% |
| Dec 30, 10:00 | Jan 9, 12:00 | Long | $2,979.07 | $3,086.58 | +3.61% |
| Dec 21, 17:00 | Dec 25, 04:00 | Long | $2,986.01 | $2,943.14 | -1.44% |
| Dec 4, 00:00 | Dec 13, 23:00 | Long | $3,182.39 | $3,113.86 | -2.15% |
| Nov 26, 03:00 | Dec 1, 16:00 | Long | $2,959.29 | $2,736.24 | -7.54% |
| Nov 10, 14:00 | Nov 13, 20:00 | Long | $3,605.39 | $3,177.19 | -11.88% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 16.67% accuracy warns of extended losing streaks. Psychological preparation is essential for this ETH setup.
The 0.12 ratio warns: this Golden Cross on ETH requires near-perfect execution to profit.
Low activity (6 signals) indicates the Golden Cross waits for high-conviction setups only.
Token unlock schedules and protocol updates can override technical signals. Monitor fundamentals.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
The algorithm capitalizes on ETH's characteristic volatility patterns on the 1h timeframe.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for ETH with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 16.67% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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