UNI MACD 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 26, 08:00 | Jan 27, 09:00 | Long | $4.6750 | $4.6520 | -0.49% |
| Jan 25, 10:00 | Jan 25, 14:00 | Long | $4.8820 | $4.8230 | -1.21% |
| Jan 24, 04:00 | Jan 24, 15:00 | Long | $4.8780 | $4.8640 | -0.29% |
| Jan 23, 03:00 | Jan 24, 00:00 | Long | $4.8920 | $4.8680 | -0.49% |
| Jan 21, 19:00 | Jan 22, 06:00 | Long | $4.9530 | $4.9270 | -0.52% |
| Jan 21, 00:00 | Jan 21, 18:00 | Long | $4.8160 | $4.8390 | +0.48% |
| Jan 19, 13:00 | Jan 20, 09:00 | Long | $4.9780 | $4.9020 | -1.53% |
| Jan 18, 16:00 | Jan 18, 23:00 | Long | $5.3530 | $5.2150 | -2.58% |
| Jan 16, 20:00 | Jan 17, 22:00 | Long | $5.2690 | $5.3630 | +1.78% |
| Jan 16, 02:00 | Jan 16, 16:00 | Long | $5.3230 | $5.2040 | -2.24% |
Equity Curve
AI Deep AnalysisPowered by algorithmic insights
The 32.1% win rate indicates a high-risk, high-reward approach. Each winning trade must significantly outpace losses.
Low PF (0.91) combined with this win rate makes the setup high-variance. Trade cautiously.
High signal frequency (81 trades) suits active traders seeking regular UNI engagement.
Consider adaptive parameters that adjust to UNI's current volatility regime.
Anti-martingale approach recommended: increase size after wins, reduce after losses.
The 1h timeframe reduces overnight gap risk while capturing meaningful moves.
Performance Metrics
See Live Signal
Real-time technical analysis
View the current MACD signal for UNI with live market data, AI analysis, and trading recommendations.
About The MACD Strategy
Backtest Methodology
Key Takeaways
- Minimum $500 account for micro positions on UNI.
- 1% risk = $10 per trade on $1,000 account.
- Scale position size with account growth.
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