Stocklytics Platform
Asset logo for symbol AMKR
Amkor Technology
AMKR67
$29.37arrow_drop_down0.40%-$0.12
High Growth
Asset logo for symbol AMKR
AMKR67

$29.37

arrow_drop_down0.40%

AI Deep-Learning Forecast (AMKR)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Amkor Technology (AMKR) Stocklytics Forecast

Investors are always looking for ways to predict the future stock price of a company. One company that has garnered attention is Amkor Technology Inc (AMKR). Many analysts and investors have tried to forecast the stock price of AMKR using various methods, including artificial intelligence and machine learning. The stock price prediction for AMKR is an important topic for investors who are considering buying or selling the stock. It can provide valuable insights into the potential future performance of the company and help investors make informed decisions. However, predicting stock prices is not an exact science and should be taken with caution. Analysts' price targets for AMKR can also provide guidance for investors. These price targets are based on extensive analysis and research by experienced analysts who consider various factors such as the company's financial performance, industry trends, and market conditions. The price target for AMKR can provide investors with a target price at which they can expect the stock to trade in the future. In 2023, the stock price forecast for AMKR suggests that it may experience growth based on the current market conditions and the company's performance. However, it is important to note that these predictions are based on assumptions and market conditions can always change. Investors should carefully consider their own investment goals and risk tolerance before making any investment decisions. In conclusion, the future stock price of AMKR is uncertain, and investors should conduct their own research and analysis before making any investment decisions.
AMKR analysts' price target for the year 2023 suggests potential growth based on the company's performance and market conditions. These price targets are the result of detailed analysis and research conducted by experienced analysts in the stock market. The analysts take into consideration various factors, including the company's financial performance, industry trends, and market conditions when determining their price targets. It is important to note that these price targets are not guarantees, and the actual stock price may deviate from the analysts' predictions. Therefore, investors should carefully consider their own investment goals and risk tolerance before making any investment decisions based on these price targets. Additionally, it is recommended to conduct personal research and analysis to gain a comprehensive understanding of the company and its prospects before investing in AMKR. In conclusion, the analysts' price target for AMKR in 2023 suggests potential growth, but investors should consider multiple factors and conduct their own due diligence before making any investment decisions.
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Frequently Asked Questions

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What is the analyst price prediction for Amkor Technology (AMKR) stock?

Analysts have set a target price of $25 for Amkor Technology (AMKR), based on forecasts from 12 analysts. The predicted price range extends from a high of $40 to a low of $7. This represents a potential increase of up to 36.19% and a decrease of -76.17% from the current price of $29.37. These forecasts are as of 2014 Apr 29.
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What are the analyst ratings for Amkor Technology (AMKR) stock?

The analyst ratings for Amkor Technology (AMKR) are distributed as follows: 0 analysts recommend buying, 2 have a neutral stance, and 1 suggest selling. The prevailing sentiment among the total of 3 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Amkor Technology .
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What is the AI price prediction for Amkor Technology (AMKR) stock?

At present, there is no AI or machine-learning-based price prediction available for Amkor Technology (AMKR) 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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