KAVA 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, 16:00 | Jan 20, 05:00 | Long | $0.0924 | $0.0855 | -7.47% |
| Jan 2, 16:00 | Jan 13, 01:00 | Long | $0.0804 | $0.0835 | +3.86% |
| Dec 28, 17:00 | Dec 31, 09:00 | Long | $0.0787 | $0.0765 | -2.8% |
| Nov 26, 13:00 | Dec 1, 20:00 | Long | $0.1227 | $0.1146 | -6.6% |
| Nov 8, 19:00 | Nov 15, 10:00 | Long | $0.1347 | $0.1387 | +2.97% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 40% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
At 0.41x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
At 5 trades, each position carries higher significance. No room for poor execution.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Compound growth strategy: reinvest 25% of profits into position size.
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 KAVA 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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