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Asset logo for symbol LIN
LIN TV
LIN70
$456.85arrow_drop_down1.86%-$8.66
High Quality
S&P500
Asset logo for symbol LIN
LIN70

$456.85

arrow_drop_down1.86%

AI Deep-Learning Forecast (LIN)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

LIN TV (LIN) Stocklytics Forecast

LIN TV Corp, also known as LIN Media, is a leading multimedia company that operates television and digital media properties across the United States. With a rich history dating back to 1961, LIN TV Corp has established itself as a trusted provider of high-quality content and innovative advertising solutions. As investors consider the future prospects of LIN TV Corp, it is essential to examine the stock price prediction and forecasts for the company.
When it comes to predicting the future stock price of LIN TV Corp, various factors come into play. Analysts and market experts utilize advanced techniques such as AI and machine learning to forecast stock prices. While these predictions are based on historical data, they also consider the company's financial health, industry trends, and market conditions. Therefore, it is crucial to assess the predictions within the context of the broader market and industry landscape.
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Frequently Asked Questions

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What is the analyst price prediction for LIN TV (LIN) stock?

Analysts have set a target price of $463.18 for LIN TV (LIN), based on forecasts from 28 analysts. The predicted price range extends from a high of $540 to a low of $415. This represents a potential increase of up to 18.2% and a decrease of -9.16% from the current price of $456.85. These forecasts are as of 2023 May 12.
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What are the analyst ratings for LIN TV (LIN) stock?

Currently, there are no analyst ratings available for LIN TV (LIN), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for LIN TV (LIN) stock?

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