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CYBERDYNE, Inc. Stock Predictions

CYBERDYNE, Inc. Stock Forecast

  • Is CYBERDYNE, Inc. Stock Undervalued?
    The current CYBERDYNE, Inc. [CYBQF] share price is $1.39. The Score for CYBQF is 41, which is 18% below its historic median score of 50, and infers higher risk than normal.
  • CYBQF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will CYBERDYNE, Inc. Stock Go Up Next Year?

Data Unavailable

CYBERDYNE, Inc. Stock Rating

Data Unavailable

CYBERDYNE, Inc. Stock Price History

Is CYBQF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Japan
Industry:
Health Care Equipment & Supplies
Sector:
Health Care
Type:
stock
Website:
cyberdyne.jp/

52-Week Data

52-Week High:
1.42
52-Week Low:
1.03

Prediction Charts

Market Cap:
293.5M
Price in USD:
1.39
Volume:
0
Beta:
1.00

Technical Analysis

SMA50:
1.39
SMA100:
1.33
SMA200:
1.30
52-Wk Change:
34.95%

Stock Predictions

  • Is CYBERDYNE, Inc. stock public?
    Yes, CYBERDYNE, Inc. is a publicly traded company.
  • What is the CYBERDYNE, Inc. stock quote today?
    The CYBERDYNE, Inc. stock price is 1.39 USD today.
  • How to buy CYBERDYNE, Inc. stock online?
    You can buy CYBERDYNE, Inc. 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
Dec-3 1.39 1.39 1.39 1.39
Dec-4 1.39 1.39 1.39 1.39
Dec-5 1.39 1.39 1.39 1.39
Dec-8 1.39 1.39 1.39 1.39
Dec-9 1.39 1.39 1.39 1.39
Dec-10 1.39 1.39 1.39 1.39
Dec-11 1.39 1.39 1.39 1.39
Dec-12 1.39 1.39 1.39 1.39
Dec-15 1.39 1.39 1.39 1.39
Dec-16 1.39 1.39 1.39 1.39
Dec-17 1.39 1.39 1.39 1.39
Dec-18 1.39 1.39 1.39 1.39
Dec-19 1.39 1.39 1.39 1.39
Dec-22 1.39 1.39 1.39 1.39

CYBERDYNE, Inc. Earnings

Data Unavailable

CYBERDYNE, Inc. Forecast Revenue Growth

Data Unavailable

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