Necessary artifacts - AKShare quants

Recommend a quantitative investment tools to you today-AKShare：https://www.akshare.xyz/

AKShare是基于 Python 的财经数据接口库,涵盖股票、期货、期权、基金、外汇、债券、指数、Encryption currency financial products such as the fundamentals of、实时和历史行情数据.

本文将在python中调用AKShare,获取A股市场（沪深京）The whole history of stock trading market data.首先获取AAll share market shares code,使用AKShare的股票（沪深京）Real-time market data interface：akshare.stock_zh_a_spot_em()

Remove the stock name for a null value,Two columns and extract the code and name.然后写一个循环,使用AKShare的股票（沪深京）Historical market data interfaceakshare.stock_zh_a_hist()获取全部AShares listed on the stock market history data.我们新建一个空的DataFrame,Each loop add corresponding historical market data of stock code in.在循环中使用Try Catch进行异常处理.The final general stock code is as follows：

### 导包
import akshare as ak
import pandas as pd
import numpy as np
import os

### 设置工作路径
mypath=r"..."
stock_zh_spot_df = ak.stock_zh_a_spot_em() ## 获取实时数据
stock_zh_spot_data=stock_zh_spot_df[stock_zh_spot_df['名称']!=''] ## Remove the name is empty value data
codes_names=stock_zh_spot_data[['代码','名称']]

length=len(codes_names)
all_data = pd.DataFrame([])
for i in range(length):
    try:
        data_df = ak.stock_zh_a_hist(symbol=codes_names['代码'][i], period="daily", start_date="20150101", adjust="hfq") ## 日度数据,后复权
        data_df['stock_id']=codes_names['代码'][i]
        all_data=all_data.append(data_df)
    except:
        KeyError()


all_data.to_csv(os.path.join(mypath+'\\'+'All_Data.csv'),encoding='utf_8_sig') ## 数据导出为csv文件

all_data.to_csv(os.path.join(mypath+'\\'+'All_Data.txt'),sep="\t",index=True) ## 数据导出为txt文件

The statement in the access to historical market data,We introduced into stock code parameters,"daily"Said, degree of data,"hfq"Answer authority after said.Then right chose,Because the stock is a rights issue、分拆、Events such as mergers and dividends,Lead to share price gap appeared.In order to guarantee the data consistency,Often through answer authority before and after the answer authority to adjust price sequence.

Before answer authority refers to maintain the current price is the same,Historical prices to increase or decrease,So that the share price continuous.Before the advantage of answer authority is able to see the history of share price movements,Superposition of various technical indicators are smooth,Is all sorts of quotation software default after right way.However, the disadvantage of former answer authority is also evident：

1. In order to ensure that the current price is the same,Every time the stock ex-dividend except authority,Both need to readjust the historical prices,Therefore its historical prices is time-varying. Which leads to the different point to see the history of complex price difference may occur before.
2. For a company with continuous dividend,After price before may negative.

After answer authority is guarantee historical prices unchanged,Every time the stock rights after the incident,Adjust the current stock price. After the right price and real stock prices may vary,Not suitable for dish.After the advantage of answer authority is that can reflect the real rate of return of the investors.So after generally used in quantitative research of data.