W 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, 12:00 | Jan 16, 20:00 | Long | $0.0392 | $0.0362 | -7.65% |
| Jan 3, 03:00 | Jan 9, 09:00 | Long | $0.0369 | $0.0368 | -0.27% |
| Dec 28, 02:00 | Dec 30, 09:00 | Long | $0.0352 | $0.0340 | -3.41% |
| Dec 26, 17:00 | Dec 27, 05:00 | Long | $0.0345 | $0.0347 | +0.58% |
| Nov 8, 14:00 | Nov 13, 16:00 | Long | $0.0634 | $0.0601 | -5.21% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (20%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
Low profit factor (0.03) indicates potential parameter optimization is needed for W.
The small sample (5 trades) means results should be interpreted with caution.
The 1h chart captures W's characteristic momentum cycles effectively.
Volatility-adjusted sizing: reduce position size when W ATR exceeds 150% of average.
Time-of-day filtering may improve results: analyze when W shows strongest Golden Cross response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for W 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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