QTUM RSI 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 25, 16:00 | Jan 26, 10:00 | Long | $1.2470 | $1.2450 | -0.16% |
| Jan 20, 09:00 | Jan 24, 10:00 | Long | $1.3370 | $1.2940 | -3.22% |
| Jan 18, 03:00 | Jan 19, 14:00 | Long | $1.4620 | $1.3650 | -6.63% |
| Jan 15, 02:00 | Jan 17, 05:00 | Long | $1.5240 | $1.4780 | -3.02% |
| Jan 11, 21:00 | Jan 13, 16:00 | Long | $1.4490 | $1.4390 | -0.69% |
| Jan 6, 17:00 | Jan 9, 04:00 | Long | $1.4520 | $1.4960 | +3.03% |
| Jan 3, 18:00 | Jan 4, 00:00 | Long | $1.3660 | $1.3840 | +1.32% |
| Jan 1, 04:00 | Jan 1, 20:00 | Long | $1.3020 | $1.3270 | +1.92% |
| Dec 30, 00:00 | Dec 31, 07:00 | Long | $1.2740 | $1.3600 | +6.75% |
| Dec 28, 20:00 | Dec 29, 08:00 | Long | $1.2700 | $1.3250 | +4.33% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
This configuration shows 53.85% precision, typical for trend-following systems on QTUM. Expect streaks in both directions.
At 0.79x, consider wider stop-losses to improve average win size on QTUM.
With 26 signals generated, this is a high-activity setup. Expect multiple opportunities per week.
Consider 1h for entries but monitor daily charts for overall trend context.
Kelly Criterion suggests minimal position sizing for this edge.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for QTUM with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Trailing stops capture extended QTUM moves.
- Take partial profits at 1.5R for RSI trades.
- Exit at 1h candle close for clean fills.
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