KMNO Ichimoku Cloud 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 26, 06:00 | Jan 26, 19:00 | Long | $0.0460 | $0.0446 | -3% |
| Jan 17, 02:00 | Jan 17, 11:00 | Long | $0.0575 | $0.0569 | -1.09% |
| Jan 12, 15:00 | Jan 13, 00:00 | Long | $0.0585 | $0.0577 | -1.28% |
| Jan 8, 21:00 | Jan 10, 00:00 | Long | $0.0598 | $0.0593 | -0.74% |
| Jan 5, 23:00 | Jan 6, 17:00 | Long | $0.0606 | $0.0602 | -0.63% |
| Jan 4, 16:00 | Jan 4, 19:00 | Long | $0.0613 | $0.0603 | -1.71% |
| Jan 2, 10:00 | Jan 3, 20:00 | Long | $0.0579 | $0.0600 | +3.52% |
| Dec 29, 06:00 | Dec 31, 16:00 | Long | $0.0529 | $0.0582 | +9.95% |
| Dec 26, 05:00 | Dec 26, 15:00 | Long | $0.0508 | $0.0499 | -1.95% |
| Dec 25, 21:00 | Dec 25, 23:00 | Long | $0.0508 | $0.0499 | -1.83% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (17.24%) is common for breakout strategies on volatile assets like KMNO. Focus on risk per trade.
At 0.49x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 29 trade count provides excellent statistical significance for performance evaluation.
Consider testing Bollinger Band periods of 18-22 candles for potential KMNO optimization.
Low volatility periods may reduce signal frequency but improve individual trade quality for KMNO.
Volatility-adjusted sizing: reduce position size when KMNO ATR exceeds 150% of average.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Ichimoku Cloud signal for KMNO with live market data, AI analysis, and trading recommendations.
About The Ichimoku Cloud Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 17.24% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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