$8.610
+0.020 (+0.23%)At close
Price Predictions
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YMAB stock price ended at $8.61 on Monday, after rising +0.23%
Y-mAbs Therapeutics Inc (YMAB) last closed at $8.61, gaining +0.23%. These facts feed the 1-day and 1-week YMAB price prediction above.
Analyst Consensus
Y-mAbs Therapeutics Inc (YMAB): 2 buy, 0 hold, 0 sell. Outlook: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Y-mAbs Therapeutics Inc (YMAB) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Seasonality analysis for YMAB
Historically the probability of a positive August return for YMAB is 95.35%. September offers the highest probability of a positive month at 100.00%, while January is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
10-year price projections for YMAB
| Month | Min Price | Avg Price | Max Price | Potential ROI |
|---|---|---|---|---|
| Aug 2026 | $4.56 | $4.80 | $5.43 | -44.22% |
| Sep 2026 | $3.82 | $4.28 | $5.13 | -50.25% |
| Oct 2026 | $5.42 | $5.48 | $5.80 | -36.35% |
| Nov 2026 | $4.20 | $4.22 | $4.75 | -50.96% |
| Dec 2026 | $4.70 | $5.42 | $6.16 | -37.08% |
In 2026, Y-mAbs Therapeutics Inc (YMAB) is projected to range from $3.82 to $6.16.
Y-mAbs Therapeutics Inc 2026 monthly forecast
In Aug 2026, Y-mAbs Therapeutics Inc is projected to average $4.80, with a low of $4.56 and high of $5.43.
In Sep 2026, Y-mAbs Therapeutics Inc is projected to average $4.28, with a low of $3.82 and high of $5.13.
In Oct 2026, Y-mAbs Therapeutics Inc is projected to average $5.48, with a low of $5.42 and high of $5.80.
In Nov 2026, Y-mAbs Therapeutics Inc is projected to average $4.22, with a low of $4.20 and high of $4.75.
In Dec 2026, Y-mAbs Therapeutics Inc is projected to average $5.42, with a low of $4.70 and high of $6.16.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.