LUNC 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 10, 09:00 | Jan 11, 06:00 | Long | $0.00004389 | $0.00004363 | -0.59% |
| Jan 6, 08:00 | Jan 6, 18:00 | Long | $0.00004535 | $0.00004483 | -1.15% |
| Jan 4, 20:00 | Jan 5, 10:00 | Long | $0.00004460 | $0.00004338 | -2.74% |
| Jan 4, 18:00 | Jan 4, 19:00 | Long | $0.00004419 | $0.00004413 | -0.14% |
| Jan 2, 23:00 | Jan 3, 07:00 | Long | $0.00004169 | $0.00004057 | -2.69% |
| Dec 25, 03:00 | Dec 25, 14:00 | Long | $0.00003991 | $0.00003925 | -1.65% |
| Dec 21, 22:00 | Dec 22, 05:00 | Long | $0.00004135 | $0.00004017 | -2.85% |
| Dec 19, 10:00 | Dec 19, 17:00 | Long | $0.00004012 | $0.00003885 | -3.17% |
| Dec 17, 14:00 | Dec 17, 17:00 | Long | $0.00004170 | $0.00004022 | -3.55% |
| Dec 10, 17:00 | Dec 11, 02:00 | Long | $0.00006504 | $0.00005983 | -8.01% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (12%) is common for breakout strategies on volatile assets like LUNC. Focus on risk per trade.
At 1.52x, the risk-reward balance is healthy. Consistent execution will compound returns.
With 25 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Trend identification is built-in: Ichimoku Cloud only triggers when momentum confirms LUNC direction.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Compound growth strategy: reinvest 50% of profits into position size.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Ichimoku Cloud signal for LUNC with live market data, AI analysis, and trading recommendations.
About The Ichimoku Cloud Strategy
Backtest Methodology
Key Takeaways
- Ichimoku Cloud rules are fully automatable.
- No discretionary decisions in entry/exit logic.
- Bot execution eliminates emotional trading on LUNC.
Was this analysis helpful?
Your feedback helps us improve our backtest reports and provide better insights.
Have specific suggestions? Contact us