finance_quant

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this project is developing to crawl stock A finance and trade data from website, process finance and trade data to get factors, and then analyze factors to find possibility trade opportunity.

// repository documentation

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# change this repo from stock_deeplearning to finance_quant.

the aim is to quantative all kinds of finance data, including stock, future, bond, marco, etc.

now it's only can download china A stock finance data and daily trade data, and also calculate some factors.

# how to use this repo.
## git submodule
git submodule update --init
## configure
configure your data store folder
 open ./conf/con_release.json
  "path": "../finance_data", 
## run
download all the A stock's finance data and trade data. and generate some factors.
sh run.sh
## result folder
### stock:
  finance_data/data/stock/000001
  this folder used to store finance, trade and factor data for each stock, following is a example
  abstract.csv
  cash.csv
  daily_trade.csv
  daily_trade_quarter.csv
  earning.csv
  finance_factors.csv
  growth.csv
  loans.csv
  main.csv
  operation.csv
  profit.csv
  return_debit.csv
  trade_big_deal.csv
  trade_bill.csv
  trade_bill_calc.csv
  trade_margin_short.csv
  trade_north.csv
  trade_north_new.csv
### index:
  finance_data/data/index/000001
  this folder used to store index trade data, following is a example
  daily_trade.csv
  trade_bill.csv
### other foler (is building)

finance_quant

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