Stocklytics Platform
Asset logo for symbol AGS
PlayAGS
AGS64
$12.02arrow_drop_up0.67%$0.08
Asset logo for symbol AGS
AGS64

$12.02

arrow_drop_up0.67%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

PlayAGS (AGS) Stocklytics Forecast

According to our AI and machine learning models, the stock forecast for PlayAGS Inc (AGS) is quite promising. Based on historical data and market trends, we predict that the stock price of AGS will continue to rise in the coming years. With a positive outlook for the gaming industry and the company's strong financial performance, AGS is expected to experience significant growth. Our prediction for the AGS stock price in 2023 is optimistic, and we anticipate a steady upward trajectory.
Analysts also share a bullish sentiment towards AGS, as reflected in their price targets. The projected price target for PlayAGS Inc (AGS) in 2023 is quite encouraging, suggesting that the stock has great potential for investment. Industry experts and financial analysts have thoroughly assessed the company's performance and market conditions to arrive at these targets. With a positive outlook and favorable market conditions, AGS stock is considered a good buy by many experts in the field.
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Frequently Asked Questions

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What is the analyst price prediction for PlayAGS (AGS) stock?

Analysts have set a target price of $12.61 for PlayAGS (AGS), based on forecasts from 18 analysts. The predicted price range extends from a high of $16 to a low of $9. This represents a potential increase of up to 33.11% and a decrease of -25.12% from the current price of $12.02. These forecasts are as of 2019 Aug 08.
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What are the analyst ratings for PlayAGS (AGS) stock?

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

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