QTUM 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, 22:00 | Jan 16, 20:00 | Long | $1.5670 | $1.4340 | -8.49% |
| Dec 28, 16:00 | Jan 12, 15:00 | Long | $1.2810 | $1.4070 | +9.84% |
| Dec 13, 12:00 | Dec 15, 18:00 | Long | $1.5460 | $1.3750 | -11.06% |
| Dec 10, 20:00 | Dec 11, 19:00 | Long | $1.4950 | $1.4310 | -4.28% |
| Nov 27, 09:00 | Dec 1, 04:00 | Long | $1.6000 | $1.4240 | -11% |
| Nov 8, 02:00 | Nov 13, 18:00 | Long | $1.9890 | $1.7470 | -12.17% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (16.67%) is common for breakout strategies on volatile assets like QTUM. Focus on risk per trade.
At 0.16x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 6 trades, this is a patient, low-frequency strategy for QTUM.
This Golden Cross setup on QTUM shows increased effectiveness during moderate volatility regimes.
Best results occur when QTUM's 1h trend aligns with higher timeframe momentum.
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 QTUM with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Strategy designed for 1h charts.
- Best paired with QTUM.
- Automated execution recommended.
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