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Bank Of China Stock Predictions

Bank Of China Stock Forecast

  • Is Bank Of China Stock Undervalued?
    The current Bank Of China [BACHF] share price is $0.48. The Score for BACHF is 57, which is 14% above its historic median score of 50, and infers lower risk than normal.
  • BACHF is currently trading in the 50-60% percentile range relative to its historical Stock Score levels.

Will Bank Of China Stock Go Up Next Year?

Data Unavailable

Bank Of China Stock Rating

Data Unavailable

Bank Of China Stock Price History

Is BACHF 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 BACHF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
China
Industry:
Banks
Sector:
Financials
Type:
stock
Website:
boc.cn

52-Week Data

52-Week High:
0.53
52-Week Low:
0.34

Prediction Charts

Market Cap:
141.31B
Price in USD:
0.48
Volume:
0
Beta:
0.53

Technical Analysis

SMA50:
0.47
SMA100:
0.47
SMA200:
0.45
52-Wk Change:
30.1%

Stock Predictions

  • Is Bank Of China stock public?
    Yes, Bank Of China is a publicly traded company.
  • What is the Bank Of China stock quote today?
    The Bank Of China stock price is 0.48 USD today.
  • How to buy Bank Of China stock online?
    You can buy Bank Of China 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
Nov-1 0.48 0.48 0.48 0.48
Nov-4 0.48 0.48 0.48 0.48
Nov-5 0.50 0.45 0.50 0.45
Nov-6 0.45 0.45 0.45 0.45
Nov-7 0.48 0.49 0.49 0.48
Nov-8 0.50 0.50 0.50 0.50
Nov-11 0.50 0.50 0.50 0.50
Nov-12 0.50 0.50 0.50 0.50
Nov-13 0.45 0.45 0.45 0.45
Nov-14 0.46 0.47 0.47 0.46
Nov-15 0.47 0.47 0.47 0.47
Nov-18 0.47 0.47 0.47 0.47
Nov-19 0.48 0.48 0.48 0.48
Nov-20 0.48 0.48 0.48 0.48

Bank Of China Earnings

Data Unavailable

Bank Of China Forecast Revenue Growth

Data Unavailable

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