Stocklytics Platform
Asset logo for symbol CLAR
Clarus
CLAR51
$4.74arrow_drop_down0.62%-$0.03
Penny Stock
Asset logo for symbol CLAR
CLAR51

$4.74

arrow_drop_down0.62%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Clarus (CLAR) Stocklytics Forecast

Clarus Corp (CLAR) is a leading provider of outdoor equipment and lifestyle products. With a strong reputation for quality and innovation, Clarus Corp has established itself as a trusted brand in the industry. The company's stock price is often a topic of interest for investors, who are constantly seeking to predict its future performance. While it is impossible to accurately predict stock prices with certainty, analysts and artificial intelligence algorithms can provide valuable insights.
According to AI price prediction models, Clarus Corp's stock price is expected to show positive momentum in the coming years. Machine learning algorithms analyze historical price trends, market conditions, and other variables to predict the future movement of stock prices. These algorithms have been trained on vast amounts of data and can identify patterns that humans may not easily recognize. Therefore, machine learning predictions for Clarus Corp's stock suggest a potential increase in value over time.
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Frequently Asked Questions

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What is the analyst price prediction for Clarus (CLAR) stock?

Analysts have set a target price of $22.34 for Clarus (CLAR), based on forecasts from 25 analysts. The predicted price range extends from a high of $42 to a low of $7. This represents a potential increase of up to 786.08% and a decrease of 47.68% from the current price of $4.74. These forecasts are as of 2021 Mar 04.
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What are the analyst ratings for Clarus (CLAR) stock?

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

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