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Unipol Gruppo SpA Stock Predictions

Unipol Gruppo SpA Stock Forecast

  • Is Unipol Gruppo SpA Stock Undervalued?
    The current Unipol Gruppo SpA [UFGSY] share price is $2.53. The Score for UFGSY is 20, which is 60% below its historic median score of 50, and infers higher risk than normal.
  • UFGSY is currently trading in the 10-20% percentile range relative to its historical Stock Score levels.

Will Unipol Gruppo SpA Stock Go Up Next Year?

Data Unavailable

Unipol Gruppo SpA Stock Rating

Data Unavailable

Unipol Gruppo SpA Stock Price History

Is UFGSY stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Italy
Industry:
Insurance
Sector:
Financials
Type:
stock
Website:
unipol.it

52-Week Data

52-Week High:
2.53
52-Week Low:
2.53

Prediction Charts

Market Cap:
3.62B
Price in USD:
2.53
Volume:
0
Beta:
-0.41

Technical Analysis

SMA50:
2.53
SMA100:
2.53
SMA200:
2.53
52-Wk Change:
0%

Stock Predictions

  • Is Unipol Gruppo SpA stock public?
    Yes, Unipol Gruppo SpA is a publicly traded company.
  • What is the Unipol Gruppo SpA stock quote today?
    The Unipol Gruppo SpA stock price is 2.53 USD today.
  • How to buy Unipol Gruppo SpA stock online?
    You can buy Unipol Gruppo 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
Oct-25 2.53 2.53 2.53 2.53
Oct-28 2.53 2.53 2.53 2.53
Oct-29 2.53 2.53 2.53 2.53
Oct-30 2.53 2.53 2.53 2.53
Oct-31 2.53 2.53 2.53 2.53
Nov-1 2.53 2.53 2.53 2.53
Nov-4 2.53 2.53 2.53 2.53
Nov-5 2.53 2.53 2.53 2.53
Nov-6 2.53 2.53 2.53 2.53
Nov-7 2.53 2.53 2.53 2.53
Nov-8 2.53 2.53 2.53 2.53
Nov-11 2.53 2.53 2.53 2.53
Nov-12 2.53 2.53 2.53 2.53
Nov-13 2.53 2.53 2.53 2.53

Unipol Gruppo SpA Earnings

Data Unavailable

Unipol Gruppo SpA Forecast Revenue Growth

Data Unavailable

* Unipol Gruppo 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.