EIGEN RSI Strategy (4h) - Backtest Results
Price Action & Trades
Recent Trade History (Live Proof)
| Entry Date | Exit Date | Type | Entry Price | Exit Price | Profit/Loss Ratio |
|---|---|---|---|---|---|
| Jan 16, 08:00 | Jan 28, 04:00 | Long | $0.4070 | $0.3380 | -16.95% |
| Dec 24, 08:00 | Jan 2, 12:00 | Long | $0.3720 | $0.3870 | +4.03% |
| Dec 5, 12:00 | Dec 21, 00:00 | Long | $0.5410 | $0.3940 | -27.17% |
| Nov 29, 20:00 | Dec 3, 12:00 | Long | $0.5940 | $0.5780 | -2.69% |
| Oct 28, 16:00 | Nov 26, 04:00 | Long | $1.0540 | $0.6160 | -41.56% |
| Oct 9, 12:00 | Oct 26, 20:00 | Long | $1.7530 | $1.1970 | -31.72% |
| Sep 30, 00:00 | Oct 2, 16:00 | Long | $1.6060 | $1.8180 | +13.2% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low precision (28.57%) on 4h indicates signal noise. Higher timeframes may improve accuracy.
At 0.19x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The small sample (7 trades) means results should be interpreted with caution.
Shorter timeframes show more signals but lower win rates. 4h is the sweet spot.
Scale into positions: consider splitting entries into 2-3 tranches for larger accounts.
Time-of-day filtering may improve results: analyze when EIGEN shows strongest RSI response.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current RSI signal for EIGEN with live market data, AI analysis, and trading recommendations.
About The RSI Strategy
Backtest Methodology
Key Takeaways
- 4h balances signal quality vs frequency.
- Shorter timeframes may increase noise.
- Higher timeframes confirm trend direction.
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