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Chariot Ltd. Stock Predictions

Chariot Ltd. Stock Forecast

  • Is Chariot Ltd. Stock Undervalued?
    The current Chariot Ltd. [OIGLF] share price is $0.02. The Score for OIGLF is 18, which is 64% below its historic median score of 50, and infers higher risk than normal.
  • OIGLF is currently trading in the 10-20% percentile range relative to its historical Stock Score levels.

Will Chariot Ltd. Stock Go Up Next Year?

Data Unavailable

Chariot Ltd. Stock Rating

Data Unavailable

Chariot Ltd. Stock Price History

Is OIGLF stock going to rise?

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

Stock Information

Stock Info

Exchange:
OTCM
Country:
United Kingdom
Industry:
Oil, Gas & Consumable Fuels
Sector:
Energy
Type:
stock
Website:
chariotenergygroup.com

52-Week Data

52-Week High:
0.07
52-Week Low:
0.01

Prediction Charts

Market Cap:
24.5M
Price in USD:
0.02
Volume:
875
Beta:
1.39

Technical Analysis

SMA50:
0.02
SMA100:
0.02
SMA200:
0.02
52-Wk Change:
-35.15%

Stock Predictions

  • Is Chariot Ltd. stock public?
    Yes, Chariot Ltd. is a publicly traded company.
  • What is the Chariot Ltd. stock quote today?
    The Chariot Ltd. stock price is 0.02 USD today.
  • How to buy Chariot Ltd. stock online?
    You can buy Chariot Ltd. 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 0.02 0.02 0.02 0.02
Dec-4 0.02 0.02 0.02 0.02
Dec-5 0.02 0.02 0.02 0.02
Dec-8 0.02 0.02 0.02 0.02
Dec-9 0.02 0.02 0.02 0.02
Dec-10 0.01 0.01 0.01 0.01
Dec-11 0.01 0.01 0.01 0.01
Dec-12 0.01 0.01 0.01 0.01
Dec-15 0.01 0.01 0.01 0.01
Dec-16 0.01 0.01 0.01 0.01
Dec-17 0.03 0.03 0.03 0.03
Dec-18 0.03 0.03 0.03 0.03
Dec-19 0.03 0.03 0.03 0.03
Dec-22 0.02 0.02 0.02 0.02

Chariot Ltd. Earnings

Data Unavailable

Chariot Ltd. Forecast Revenue Growth

Data Unavailable

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