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Asset logo for symbol CTRA
Coterra Energy
CTRA72
$25.78arrow_drop_up0.23%$0.06
S&P500
Asset logo for symbol CTRA
CTRA72

$25.78

arrow_drop_up0.23%

AI Deep-Learning Forecast (CTRA)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Coterra Energy (CTRA) Stocklytics Forecast

Coterra Energy Inc., also known as CTRA, is a company that operates in the energy sector. As of the current market trends, it is difficult to accurately predict the stock price of CTRA. However, based on various factors and market conditions, there are forecasts and price predictions available. It is important to note that these predictions are not guaranteed and should not be considered as financial advice. Investors should conduct their own research and analysis before making any investment decisions.
According to AI price prediction models and machine learning algorithms, the future stock price of CTRA can be estimated. These predictions are based on historical data, market trends, and other factors. However, it is important to remember that these predictions are not foolproof and can be subject to changes based on various variables. It is always recommended to consult with financial advisors or experts before making any investment decisions.
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Frequently Asked Questions

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What is the analyst price prediction for Coterra Energy (CTRA) stock?
Analysts have set a target price of $33.28 for Coterra Energy (CTRA), based on forecasts from 29 analysts. The predicted price range extends from a high of $41 to a low of $26. This represents a potential increase of up to 59.04% and a decrease of 0.85% from the current price of $25.78. These forecasts are as of 2023 Dec 14.
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What are the analyst ratings for Coterra Energy (CTRA) stock?
Currently, there are no analyst ratings available for Coterra Energy (CTRA), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for Coterra Energy (CTRA) stock?
At present, there is no AI or machine-learning-based price prediction available for Coterra Energy (CTRA) 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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