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Asset logo for symbol BEKE
KE Holdings
BEKE62
$18.48arrow_drop_up0.48%$0.08
Asset logo for symbol BEKE
BEKE62

$18.48

arrow_drop_up0.48%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

KE Holdings (BEKE) Stocklytics Forecast

KE Holdings Inc. (BEKE) is a leading online real estate platform in China. The company provides a wide range of services, including online listing, housing transactions, and home renovation. With the rapid growth of the real estate market in China, KE Holdings Inc. has experienced significant financial success in recent years. As a result, many investors are interested in predicting the future stock price of BEKE.
In terms of price prediction, it is important to consider various factors that can influence the stock price of KE Holdings Inc. These factors include market trends, company performance, and analyst insights. While it is difficult to accurately predict the future stock price of BEKE, there are some forecasting methods that can provide valuable insights.
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Frequently Asked Questions

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What is the analyst price prediction for KE Holdings (BEKE) stock?

Analysts have set a target price of $22.1 for KE Holdings (BEKE), based on forecasts from 15 analysts. The predicted price range extends from a high of $30 to a low of $7.5. This represents a potential increase of up to 62.34% and a decrease of -59.42% from the current price of $18.48. These forecasts are as of 2020 Sep 09.
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What are the analyst ratings for KE Holdings (BEKE) stock?

The analyst ratings for KE Holdings (BEKE) are distributed as follows: 21 analysts recommend buying, 1 have a neutral stance, and 0 suggest selling. The prevailing sentiment among the total of 22 analysts leans towards a buy rating. These ratings indicate the general sentiment among the analysts covering KE Holdings.
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What is the AI price prediction for KE Holdings (BEKE) stock?

At present, there is no AI or machine-learning-based price prediction available for KE Holdings (BEKE) 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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