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Expert .AI SpA Stock Predictions

Expert .AI SpA Stock Forecast

  • Is Expert .AI SpA Stock Undervalued?
    The current Expert .AI SpA [EXSPF] share price is $1.66. The Score for EXSPF is 79, which is 58% above its historic median score of 50, and infers lower risk than normal.
  • EXSPF is currently trading in the 70-80% percentile range relative to its historical Stock Score levels.

Will Expert .AI SpA Stock Go Up Next Year?

Data Unavailable

Expert .AI SpA Stock Rating

Data Unavailable

Expert .AI SpA Stock Price History

Is EXSPF stock going to rise?

  • The current trend is relatively stagnant and EXSPF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Italy
Industry:
Software
Sector:
Information Technology
Type:
stock
Website:
expert.ai

52-Week Data

52-Week High:
1.79
52-Week Low:
1.23

Prediction Charts

Market Cap:
114.41M
Price in USD:
1.66
Volume:
0
Beta:
-0.33

Technical Analysis

SMA50:
1.66
SMA100:
1.55
SMA200:
1.48
52-Wk Change:
0%

Stock Predictions

  • Is Expert .AI SpA stock public?
    Yes, Expert .AI SpA is a publicly traded company.
  • What is the Expert .AI SpA stock quote today?
    The Expert .AI SpA stock price is 1.66 USD today.
  • How to buy Expert .AI SpA stock online?
    You can buy Expert .AI SpA shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Nov-21 1.66 1.66 1.66 1.66
Nov-22 1.66 1.66 1.66 1.66
Nov-25 1.66 1.66 1.66 1.66
Nov-26 1.66 1.66 1.66 1.66
Nov-27 1.66 1.66 1.66 1.66
Nov-29 1.66 1.66 1.66 1.66
Dec-2 1.66 1.66 1.66 1.66
Dec-3 1.66 1.66 1.66 1.66
Dec-4 1.66 1.66 1.66 1.66
Dec-5 1.66 1.66 1.66 1.66
Dec-6 1.66 1.66 1.66 1.66
Dec-9 1.66 1.66 1.66 1.66
Dec-10 1.66 1.66 1.66 1.66
Dec-11 1.66 1.66 1.66 1.66

Expert .AI SpA Earnings

Data Unavailable

Expert .AI SpA Forecast Revenue Growth

Data Unavailable

* Expert .AI SpA stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.