UNI Bollinger Bands 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 27, 09:00 | Jan 27, 20:00 | Long | $4.6520 | $4.7920 | +3.01% |
| Jan 25, 16:00 | Jan 26, 15:00 | Long | $4.6950 | $4.7140 | +0.4% |
| Jan 24, 16:00 | Jan 25, 10:00 | Long | $4.8410 | $4.8820 | +0.85% |
| Jan 20, 06:00 | Jan 23, 17:00 | Long | $4.9520 | $4.9630 | +0.22% |
| Jan 18, 23:00 | Jan 19, 20:00 | Long | $5.2150 | $5.0480 | -3.2% |
| Jan 15, 00:00 | Jan 18, 18:00 | Long | $5.6600 | $5.3900 | -4.77% |
| Jan 12, 14:00 | Jan 13, 13:00 | Long | $5.3150 | $5.4970 | +3.42% |
| Jan 11, 20:00 | Jan 12, 03:00 | Long | $5.4360 | $5.5800 | +2.65% |
| Jan 6, 17:00 | Jan 9, 15:00 | Long | $6.0040 | $5.5510 | -7.54% |
| Dec 30, 21:00 | Jan 1, 15:00 | Long | $5.9190 | $5.7060 | -3.6% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The algorithm's 59.26% hit rate on UNI suggests strong predictive capability for the current market structure.
At 1.07x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
The 27 trade count provides excellent statistical significance for performance evaluation.
Best results occur when UNI's 1h trend aligns with higher timeframe momentum.
Consider adaptive parameters that adjust to UNI's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Bollinger Bands signal for UNI with live market data, AI analysis, and trading recommendations.
About The Bollinger Bands Strategy
Backtest Methodology
Key Takeaways
- Asian session: lower volatility for UNI.
- US/EU overlap: best liquidity on 1h.
- Weekend signals on UNI may have higher slippage.
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