UNI Golden Cross 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 14, 21:00 | Jan 16, 12:00 | Long | $5.7640 | $5.3250 | -7.62% |
| Jan 6, 01:00 | Jan 8, 12:00 | Long | $6.2120 | $5.4760 | -11.85% |
| Dec 28, 03:00 | Dec 31, 19:00 | Long | $6.0150 | $5.6920 | -5.37% |
| Dec 20, 14:00 | Dec 28, 00:00 | Long | $5.8650 | $5.9730 | +1.84% |
| Dec 4, 14:00 | Dec 5, 19:00 | Long | $6.0130 | $5.5070 | -8.42% |
| Nov 8, 08:00 | Nov 16, 03:00 | Long | $6.0240 | $7.3920 | +22.71% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
Low win rate (33.33%) is common for breakout strategies on volatile assets like UNI. Focus on risk per trade.
At 0.74x, transaction costs and slippage could erode gains. Factor in realistic trading costs.
With only 6 trades, this is a patient, low-frequency strategy for UNI.
Volume filters may improve win rate: require above-average volume for entry confirmation.
Kelly Criterion suggests minimal position sizing for this edge.
Shorter timeframes show more signals but lower win rates. 1h is the sweet spot.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current Golden Cross signal for UNI with live market data, AI analysis, and trading recommendations.
About The Golden Cross Strategy
Backtest Methodology
Key Takeaways
- 33.33% accuracy still means frequent losses.
- Stick to the system during losing streaks.
- Confidence comes from backtested edge, not individual trades.
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