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Gurunavi Stock Predictions

Gurunavi Stock Forecast

  • Is Gurunavi Stock Undervalued?
    The current Gurunavi [GURNF] share price is $1.98. The Score for GURNF is 4, which is 92% below its historic median score of 50, and infers higher risk than normal.
  • GURNF is currently trading in the 0-10% percentile range relative to its historical Stock Score levels.

Will Gurunavi Stock Go Up Next Year?

Data Unavailable

Gurunavi Stock Rating

Data Unavailable

Gurunavi Stock Price History

Is GURNF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
Japan
Industry:
Interactive Media & Services
Sector:
Communication Services
Type:
stock
Website:
gnavi.co.jp

52-Week Data

52-Week High:
12.40
52-Week Low:
1.98

Prediction Charts

Market Cap:
111.56M
Price in USD:
1.98
Volume:
0
Beta:
-0.45

Technical Analysis

SMA50:
9.92
SMA100:
11.16
SMA200:
11.78
52-Wk Change:
-84.05%

Stock Predictions

  • Is Gurunavi stock public?
    Yes, Gurunavi is a publicly traded company.
  • What is the Gurunavi stock quote today?
    The Gurunavi stock price is 1.98 USD today.
  • How to buy Gurunavi stock online?
    You can buy Gurunavi 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-20 12.40 12.40 12.40 12.40
Nov-21 12.40 12.40 12.40 12.40
Nov-22 2.14 2.14 2.14 2.14
Nov-25 2.14 2.14 2.14 2.14
Nov-26 2.14 2.14 2.14 2.14
Nov-27 2.14 2.14 2.14 2.14
Nov-29 2.14 2.14 2.14 2.14
Dec-2 2.14 2.14 2.14 2.14
Dec-3 2.14 2.14 2.14 2.14
Dec-4 2.14 2.14 2.14 2.14
Dec-5 1.98 1.98 1.98 1.98
Dec-6 1.98 1.98 1.98 1.98
Dec-9 1.98 1.98 1.98 1.98
Dec-10 1.98 1.98 1.98 1.98

Gurunavi Earnings

Data Unavailable

Gurunavi Forecast Revenue Growth

Data Unavailable

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