/ChinaAShare

based on history, focused on present

Primary LanguagePythonMIT LicenseMIT

ChinaAShare

based on history, focused on present

The aim of this project:

  • Spot the ideal target of investment in China A share stock exchange market.
  • Reduce the manual effort by using Python program.

Current features:

  • retrieve daily quote. details
  • retrieve the quote in year 2015. details Especially the highest stock price before the crash.
  • select investment targets according to price book value ratio, room of growth, compared with companies in the same industry.

Strategy

  • The quotient of highest price in 2015 and current price is seen as the room for growth.
  • Price book value ratio is seen as an indicator of valuation.

Possible future features:

Planned:

  • better ranking, percentile in industry/section
  • bellwether criteria: cheap price, small total market value
  • Peak value of PB and PE in 2015 as supplement for the 'room for growth' indicatd by quotient of highest price in 2015 and current price.

nice to have

User's guide/ manual/ quick start click here