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Sinch AB Stock Predictions

Sinch AB Stock Forecast

  • Is Sinch AB Stock Undervalued?
    The current Sinch AB [CLCMF] share price is $3.00. The Score for CLCMF is 50, which is 0% below its historic median score of 50, and infers higher risk than normal.
  • CLCMF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will Sinch AB Stock Go Up Next Year?

Data Unavailable

Sinch AB Stock Rating

Data Unavailable

Sinch AB Stock Price History

Is CLCMF stock going to rise?

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and CLCMF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Sweden
Industry:
Software
Sector:
Information Technology
Type:
stock
Website:
sinch.com

52-Week Data

52-Week High:
3.00
52-Week Low:
1.75

Prediction Charts

Market Cap:
2.53B
Price in USD:
3.00
Volume:
0
Beta:
-0.36

Technical Analysis

SMA50:
2.88
SMA100:
2.64
SMA200:
2.51
52-Wk Change:
71.43%

Stock Predictions

  • Is Sinch AB stock public?
    Yes, Sinch AB is a publicly traded company.
  • What is the Sinch AB stock quote today?
    The Sinch AB stock price is 3.00 USD today.
  • How to buy Sinch AB stock online?
    You can buy Sinch AB 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 2.85 2.85 2.85 2.85
Oct-28 2.85 2.85 2.85 2.85
Oct-29 2.85 2.85 2.85 2.85
Oct-30 3.00 3.00 3.00 3.00
Oct-31 3.00 3.00 3.00 3.00
Nov-1 3.00 3.00 3.00 3.00
Nov-4 3.00 3.00 3.00 3.00
Nov-5 3.00 3.00 3.00 3.00
Nov-6 3.00 3.00 3.00 3.00
Nov-7 3.00 3.00 3.00 3.00
Nov-8 3.00 3.00 3.00 3.00
Nov-11 3.00 3.00 3.00 3.00
Nov-12 3.00 3.00 3.00 3.00
Nov-13 3.00 3.00 3.00 3.00

Sinch AB Earnings

Data Unavailable

Sinch AB Forecast Revenue Growth

Data Unavailable

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