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Healios KK Stock Predictions

Healios KK Stock Forecast

  • Is Healios KK Stock Undervalued?
    The current Healios KK [HLOSF] share price is $1.50. The Score for HLOSF is 96, which is 92% above its historic median score of 50, and infers lower risk than normal.
  • HLOSF is currently trading in the 90-100% percentile range relative to its historical Stock Score levels.

Will Healios KK Stock Go Up Next Year?

Data Unavailable

Healios KK Stock Rating

Data Unavailable

Healios KK Stock Price History

Is HLOSF 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 HLOSF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Japan
Industry:
Biotechnology
Sector:
Health Care
Type:
stock
Website:
healios.co.jp

52-Week Data

52-Week High:
1.73
52-Week Low:
0.93

Prediction Charts

Market Cap:
135.2M
Price in USD:
1.50
Volume:
0
Beta:
-0.27

Technical Analysis

SMA50:
1.60
SMA100:
1.40
SMA200:
1.19
52-Wk Change:
-5.36%

Stock Predictions

  • Is Healios KK stock public?
    Yes, Healios KK is a publicly traded company.
  • What is the Healios KK stock quote today?
    The Healios KK stock price is 1.50 USD today.
  • How to buy Healios KK stock online?
    You can buy Healios KK 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-11 1.60 1.60 1.60 1.60
Oct-14 1.60 1.60 1.60 1.60
Oct-15 1.60 1.60 1.60 1.60
Oct-16 1.60 1.60 1.60 1.60
Oct-18 1.60 1.60 1.60 1.60
Oct-21 1.60 1.60 1.60 1.60
Oct-22 1.50 1.50 1.50 1.50
Oct-23 1.50 1.50 1.50 1.50
Oct-24 1.50 1.50 1.50 1.50
Oct-25 1.50 1.50 1.50 1.50
Oct-28 1.50 1.50 1.50 1.50
Oct-29 1.50 1.50 1.50 1.50
Oct-30 1.50 1.50 1.50 1.50
Oct-31 1.50 1.50 1.50 1.50

Healios KK Earnings

Data Unavailable

Healios KK Forecast Revenue Growth

Data Unavailable

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