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Karbon-X Stock Predictions

Karbon-X Stock Forecast

  • Is Karbon-X Stock Undervalued?
    The current Karbon-X [KARX] share price is $2.00. The Score for KARX is 69, which is 38% above its historic median score of 50, and infers lower risk than normal.
  • KARX is currently trading in the 60-70% percentile range relative to its historical Stock Score levels.

Will Karbon-X Stock Go Up Next Year?

Data Unavailable

Karbon-X Stock Rating

Data Unavailable

Karbon-X Stock Price History

Is KARX 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 KARX is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Canada
Industry:
Commercial Services & Supplies
Sector:
Industrials
Type:
stock
Website:
karbon-x.com

52-Week Data

52-Week High:
2.50
52-Week Low:
1.50

Prediction Charts

Market Cap:
166.8M
Price in USD:
2.00
Volume:
0
Beta:
0.00

Technical Analysis

SMA50:
1.52
SMA100:
1.51
SMA200:
1.51
52-Wk Change:
0%

Stock Predictions

  • Is Karbon-X stock public?
    Yes, Karbon-X is a publicly traded company.
  • What is the Karbon-X stock quote today?
    The Karbon-X stock price is 2.00 USD today.
  • How to buy Karbon-X stock online?
    You can buy Karbon-X 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-5 1.50 1.50 1.50 1.50
Dec-6 1.50 1.50 1.50 1.50
Dec-9 1.50 1.50 1.50 1.50
Dec-10 1.50 1.50 1.50 1.50
Dec-11 1.50 1.50 1.50 1.50
Dec-12 1.50 1.50 1.50 1.50
Dec-13 1.50 1.50 1.50 1.50
Dec-16 1.50 1.50 1.50 1.50
Dec-17 1.50 1.50 1.50 1.50
Dec-18 1.50 1.50 1.50 1.50
Dec-19 1.50 1.50 1.50 1.50
Dec-20 1.50 1.50 1.50 1.50
Dec-23 2.50 2.00 2.50 2.00
Dec-24 2.00 2.00 2.00 2.00

Karbon-X Earnings

Data Unavailable

Karbon-X Forecast Revenue Growth

Data Unavailable

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