EUL 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, 10:00 | Jan 26, 23:00 | Long | $2.0710 | $1.8870 | -8.88% |
| Jan 22, 20:00 | Jan 24, 09:00 | Long | $1.7850 | $1.8570 | +4.03% |
| Jan 20, 13:00 | Jan 22, 08:00 | Long | $2.0390 | $1.8950 | -7.06% |
| Jan 11, 22:00 | Jan 19, 20:00 | Long | $2.8480 | $2.1370 | -24.96% |
| Jan 8, 00:00 | Jan 11, 12:00 | Long | $3.2150 | $2.9210 | -9.14% |
| Jan 6, 10:00 | Jan 6, 23:00 | Long | $3.2410 | $3.3880 | +4.54% |
| Jan 4, 04:00 | Jan 5, 18:00 | Long | $3.0550 | $3.1700 | +3.76% |
| Dec 28, 16:00 | Dec 30, 19:00 | Long | $2.8890 | $2.9190 | +1.04% |
| Dec 23, 02:00 | Dec 25, 04:00 | Long | $2.8670 | $2.8920 | +0.87% |
| Dec 21, 01:00 | Dec 22, 03:00 | Long | $2.9820 | $2.9930 | +0.37% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 50% win rate is within expected range for RSI algorithms. Focus shifts to risk-reward optimization.
Low PF (0.15) combined with this win rate makes the setup high-variance. Trade cautiously.
Moderate activity (20 signals) allows careful analysis of each EUL trading opportunity.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Consider adaptive parameters that adjust to EUL's current volatility regime.
Historical analysis suggests reducing position size by 50% during VIX spikes above 30.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for EUL with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on EUL.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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