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GOAT Industries Stock Predictions

GOAT Industries Stock Forecast

  • Is GOAT Industries Stock Undervalued?
    The current GOAT Industries [GOAT.CX] share price is $0.13. The Score for GOAT.CX is 19, which is 62% below its historic median score of 50, and infers higher risk than normal.
  • GOAT.CX is currently trading in the 10-20% percentile range relative to its historical Stock Score levels.

Will GOAT Industries Stock Go Up Next Year?

Data Unavailable

GOAT Industries Stock Rating

Data Unavailable

GOAT Industries Stock Price History

Is GOAT.CX stock going to rise?

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

Stock Information

Stock Info

Exchange:
CNSX
Country:
Canada
Industry:
Sector:
Type:
stock
Website:
goatindustries.co

52-Week Data

52-Week High:
0.23
52-Week Low:
0.06

Prediction Charts

Market Cap:
816.1K
Price in USD:
0.13
Volume:
1K
Beta:
-0.72

Technical Analysis

SMA50:
0.13
SMA100:
0.14
SMA200:
0.13
52-Wk Change:
25%

Stock Predictions

  • Is GOAT Industries stock public?
    Yes, GOAT Industries is a publicly traded company.
  • What is the GOAT Industries stock quote today?
    The GOAT Industries stock price is 0.13 USD today.
  • How to buy GOAT Industries stock online?
    You can buy GOAT Industries 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
Aug-29 0.12 0.12 0.12 0.12
Aug-30 0.12 0.12 0.12 0.12
Sep-3 0.13 0.13 0.13 0.13
Sep-4 0.13 0.13 0.13 0.13
Sep-5 0.13 0.13 0.13 0.13
Sep-6 0.12 0.12 0.12 0.12
Sep-9 0.12 0.12 0.12 0.12
Sep-10 0.12 0.12 0.12 0.12
Sep-11 0.12 0.12 0.12 0.12
Sep-12 0.12 0.12 0.12 0.12
Sep-13 0.14 0.13 0.14 0.13
Sep-16 0.13 0.14 0.14 0.13
Sep-17 0.14 0.14 0.14 0.14
Sep-18 0.13 0.13 0.13 0.13

GOAT Industries Earnings

Data Unavailable

GOAT Industries Forecast Revenue Growth

Data Unavailable

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