GMX 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 15, 13:00 | Jan 16, 00:00 | Long | $8.0900 | $7.9200 | -2.1% |
| Jan 5, 06:00 | Jan 10, 17:00 | Long | $8.0600 | $8.1700 | +1.36% |
| Dec 22, 12:00 | Dec 29, 23:00 | Long | $8.3400 | $8.1000 | -2.88% |
| Dec 7, 15:00 | Dec 12, 00:00 | Long | $8.7400 | $8.5100 | -2.63% |
| Dec 4, 10:00 | Dec 6, 08:00 | Long | $8.9500 | $8.6100 | -3.8% |
| Nov 24, 20:00 | Dec 1, 03:00 | Long | $8.9100 | $8.1100 | -8.98% |
| Nov 8, 14:00 | Nov 14, 04:00 | Long | $9.4500 | $8.8800 | -6.03% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 14.29% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
At 0.05x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The limited 7 sample size suggests viewing this as indicative rather than conclusive.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for GMX with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on GMX.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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