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Asset logo for symbol MLNK
Asset logo for symbol MLNK



AI Deep-Learning Forecast (MLNK)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

MeridianLink (MLNK) Stocklytics Forecast

MeridianLink, Inc. (MLNK) is a software company that specializes in providing advanced technology solutions for the financial services industry. With a strong focus on innovation and customer satisfaction, MLNK has established itself as a leader in the market. The company offers a wide range of products and services, including credit reporting, loan origination, and compliance solutions. MLNK's cutting-edge technology helps financial institutions streamline their processes, reduce costs, and improve overall efficiency.

When it comes to predicting the stock price of MeridianLink, Inc. (MLNK), analysts and AI models provide valuable insights. Based on historical data and market trends, these predictions can assist investors in making informed decisions. According to analyst forecasts, MLNK has the potential for substantial growth in the coming years. The stock price is expected to rise steadily, reaching new highs by 2023. AI models also support this prediction, indicating a positive trend for MLNK's stock.

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Frequently Asked Questions

What is the analyst price prediction for MeridianLink (MLNK) stock?

Analysts have set a target price of $19.78 for MeridianLink (MLNK), based on forecasts from 18 analysts. The predicted price range extends from a high of $34 to a low of $14. This represents a potential increase of up to 46.74% and a decrease of -39.58% from the current price of $23.17. These forecasts are as of 2022 Jan 03.

What are the analyst ratings for MeridianLink (MLNK) stock?

Currently, there are no analyst ratings available for MeridianLink (MLNK), possibly due to insufficient coverage or recent updates.

What is the AI price prediction for MeridianLink (MLNK) stock?

At present, there is no AI or machine-learning-based price prediction available for MeridianLink (MLNK) 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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