Stocklytics Platform
Asset logo for symbol IEX
IDEX
IEX64
$206.47arrow_drop_up1.66%$3.39
S&P500
Asset logo for symbol IEX
IEX64

$206.47

arrow_drop_up1.66%

AI Deep-Learning Forecast (IEX)

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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IDEX (IEX) Stocklytics Forecast

The stock price of IDEX Corp (IEX) has shown a promising upward trend in recent years, leading to speculation about its future performance. Analysts and investors are particularly interested in predicting the stock price for the year 2023. While it is impossible to provide an accurate forecast, there are various tools and methodologies that can assist in making an informed estimate.
Some analysts believe that artificial intelligence (AI) can play a vital role in forecasting stock prices. AI algorithms analyze historical data, market trends, and various factors that may influence the stock price. Through machine learning, these algorithms can identify patterns and make predictions based on the available data. Therefore, it is worth considering AI-based predictions when evaluating the potential performance of IDEX Corp (IEX) stock.
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Frequently Asked Questions

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What is the analyst price prediction for IDEX (IEX) stock?
Analysts have set a target price of $244.44 for IDEX (IEX), based on forecasts from 27 analysts. The predicted price range extends from a high of $277 to a low of $200. This represents a potential increase of up to 34.16% and a decrease of -3.13% from the current price of $206.47. These forecasts are as of 2023 Jan 18.
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What are the analyst ratings for IDEX (IEX) stock?
The analyst ratings for IDEX (IEX) are distributed as follows: 2 analysts recommend buying, 11 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 13 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering IDEX.
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What is the AI price prediction for IDEX (IEX) stock?
At present, there is no AI or machine-learning-based price prediction available for IDEX (IEX) 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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