ICP 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 13, 23:00 | Jan 20, 18:00 | Long | $3.5890 | $3.6640 | +2.09% |
| Jan 3, 00:00 | Jan 9, 18:00 | Long | $3.1790 | $3.1880 | +0.28% |
| Dec 28, 23:00 | Dec 30, 04:00 | Long | $3.0250 | $2.8970 | -4.23% |
| Dec 25, 09:00 | Dec 27, 18:00 | Long | $3.0640 | $3.0490 | -0.49% |
| Dec 21, 16:00 | Dec 24, 19:00 | Long | $3.0820 | $2.9640 | -3.83% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
With only 40% winners, this is an outlier-hunting strategy. The few wins must cover many small losses.
Low profit factor (0.32) indicates potential parameter optimization is needed for ICP.
The limited 5 sample size suggests viewing this as indicative rather than conclusive.
Historical analysis suggests reducing position size by 50% during VIX spikes above 30.
ICP liquidity levels support clean Golden Cross execution without significant slippage impact.
Walk-forward optimization suggests these parameters remained stable over previous quarters.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for ICP with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- Position sizing: 1-2% per trade suggested.
- Stop-loss levels align with ICP volatility.
- Drawdown tolerance required for 40% win rate.
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