Stocklytics Platform
Asset logo for symbol RGNX
REGENXBIO
RGNX49
$9.790.00%$0.00
Asset logo for symbol RGNX
RGNX49

$9.79

0.00%

AI Deep-Learning Forecast (RGNX)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

REGENXBIO (RGNX) Stocklytics Forecast

REGENXBIO Inc (RGNX) is a biotechnology company that focuses on the development and commercialization of gene therapy treatments. The company is at the forefront of the gene therapy industry, using advanced technologies to address a wide range of genetic diseases and disorders. With its innovative approach, REGENXBIO has the potential to revolutionize the field of medicine and provide hope for patients with unmet medical needs.
When it comes to predicting the future stock price of REGENXBIO Inc, several factors come into play. One approach is to use AI and machine learning algorithms to analyze historical data and identify patterns that may help predict future trends. These algorithms can take into account various factors such as market trends, financial indicators, and news sentiment to generate accurate forecasts.
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Frequently Asked Questions

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What is the analyst price prediction for REGENXBIO (RGNX) stock?

Analysts have set a target price of $36.93 for REGENXBIO (RGNX), based on forecasts from 28 analysts. The predicted price range extends from a high of $61 to a low of $14. This represents a potential increase of up to 522.83% and a decrease of 42.94% from the current price of $9.79. These forecasts are as of 2022 Oct 04.
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What are the analyst ratings for REGENXBIO (RGNX) stock?

The analyst ratings for REGENXBIO (RGNX) are distributed as follows: 5 analysts recommend buying, 0 have a neutral stance, and 0 suggest selling. There is a split consensus, with equal support for two of the rating categories. These ratings indicate the general sentiment among the analysts covering REGENXBIO .
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What is the AI price prediction for REGENXBIO (RGNX) stock?

At present, there is no AI or machine-learning-based price prediction available for REGENXBIO (RGNX) stock. The lack of a forecast could stem from various factors, such as inadequate data or the necessity for model recalibration.

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