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PetroChina Stock Predictions

Buy
54

PCCYF
PetroChina

Last Price:
0.95
Seasonality Move:
-6.15%

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PetroChina Stock Forecast

  • Is PetroChina Stock Undervalued?
    The current PetroChina [PCCYF] share price is $0.95. The Score for PCCYF is 54, which is 8% above its historic median score of 50, and infers lower risk than normal.
  • PCCYF is currently trading in the 50-60% percentile range relative to its historical Stock Score levels.

Will PetroChina Stock Go Up Next Year?

Data Unavailable

PetroChina Stock Rating

Data Unavailable

PetroChina Stock Price History

Is PCCYF stock going to rise?

  • The current trend is moderately bearish and PCCYF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
China
Industry:
Oil, Gas & Consumable Fuels
Sector:
Energy
Type:
stock
Website:
petrochina.com.cn

52-Week Data

52-Week High:
1.03
52-Week Low:
0.60

Prediction Charts

Market Cap:
173.87B
Price in USD:
0.95
Volume:
250
Beta:
0.82

Technical Analysis

SMA50:
0.95
SMA100:
0.86
SMA200:
0.77
52-Wk Change:
33.71%

Stock Predictions

  • Is PetroChina stock public?
    Yes, PetroChina is a publicly traded company.
  • What is the PetroChina stock quote today?
    The PetroChina stock price is 0.95 USD today.
  • How to buy PetroChina stock online?
    You can buy PetroChina 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
May-28 1.00 1.01 1.03 0.98
May-29 0.98 1.02 1.03 0.98
May-30 1.03 0.99 1.03 0.99
May-31 1.02 1.03 1.03 1.00
Jun-3 1.03 1.01 1.03 1.01
Jun-4 0.98 0.99 1.01 0.98
Jun-5 0.99 0.99 1.00 0.98
Jun-6 1.00 0.98 1.00 0.98
Jun-7 0.93 0.93 0.97 0.91
Jun-10 1.02 0.98 1.02 0.96
Jun-11 0.97 0.97 0.97 0.97
Jun-12 0.97 0.98 0.98 0.97
Jun-13 0.97 0.97 0.97 0.97
Jun-14 0.95 0.95 0.95 0.95

PetroChina Earnings

Data Unavailable

PetroChina Forecast Revenue Growth

Data Unavailable

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