QTUM 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 22, 04:00 | Jan 22, 05:00 | Long | $1.3450 | $1.3240 | -1.56% |
| Jan 5, 18:00 | Jan 6, 16:00 | Long | $1.4540 | $1.4810 | +1.86% |
| Jan 4, 05:00 | Jan 5, 09:00 | Long | $1.3950 | $1.3820 | -0.93% |
| Dec 31, 07:00 | Dec 31, 08:00 | Long | $1.3600 | $1.3560 | -0.29% |
| Dec 29, 07:00 | Dec 29, 14:00 | Long | $1.3380 | $1.2940 | -3.29% |
| Dec 27, 11:00 | Dec 28, 15:00 | Long | $1.2820 | $1.2870 | +0.39% |
| Dec 26, 10:00 | Dec 26, 14:00 | Long | $1.2430 | $1.2220 | -1.69% |
| Dec 24, 23:00 | Dec 25, 00:00 | Long | $1.2550 | $1.2440 | -0.88% |
| Dec 24, 00:00 | Dec 24, 02:00 | Long | $1.2590 | $1.2350 | -1.91% |
| Dec 9, 19:00 | Dec 10, 06:00 | Long | $1.5220 | $1.4840 | -2.5% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 16.67% accuracy warns of extended losing streaks. Psychological preparation is essential for this QTUM setup.
Low profit factor (0.29) indicates potential parameter optimization is needed for QTUM.
At 24 trades, the algorithm filters noise while capturing significant QTUM moves.
The 1h chart captures QTUM's characteristic momentum cycles effectively.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Time-of-day filtering may improve results: analyze when QTUM shows strongest Ichimoku Cloud response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Ichimoku Cloud signal for QTUM with live market data, AI analysis, and trading recommendations.
About The Ichimoku Cloud Strategy
Backtest Methodology
Key Takeaways
- Expect 3-5 consecutive losses at 16.67% accuracy.
- Size positions to survive max drawdown periods.
- Reduce size by 50% after 3 losing trades.
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