KMNO 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 17, 10:00 | Jan 17, 14:00 | Long | $0.0573 | $0.0571 | -0.35% |
| Dec 28, 00:00 | Jan 8, 15:00 | Long | $0.0510 | $0.0584 | +14.54% |
| Dec 3, 14:00 | Dec 11, 09:00 | Long | $0.0616 | $0.0607 | -1.51% |
| Nov 24, 21:00 | Dec 1, 23:00 | Long | $0.0581 | $0.0579 | -0.31% |
| Nov 7, 14:00 | Nov 13, 12:00 | Long | $0.0614 | $0.0620 | +0.85% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (40%) on 1h indicates signal noise. Higher timeframes may improve accuracy.
The gross profit to gross loss ratio of 6.05:1 provides substantial margin for error.
With only 5 trades, this is a patient, low-frequency strategy for KMNO.
The algorithm capitalizes on KMNO's characteristic volatility patterns on the 1h timeframe.
Order book analysis suggests KMNO has strong support/resistance levels aligning with Golden Cross triggers.
Consider testing Bollinger Band periods of 18-22 candles for potential KMNO optimization.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for KMNO 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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