China A-Share Stocks

Complete guide for accessing China A-share stock data.

Daily Historical Data

Basic Usage

import finvista as fv

# Get daily data
df = fv.get_cn_stock_daily("000001", start_date="2024-01-01")

Parameters

Parameter	Type	Required	Description
symbol	str	Yes	Stock code (e.g., "000001")
start_date	str	No	Start date (YYYY-MM-DD)
end_date	str	No	End date (YYYY-MM-DD)
source	str	No	Force specific source

Return Columns

Column	Description
date	Trading date
open	Opening price
high	Highest price
low	Lowest price
close	Closing price
volume	Trading volume
amount	Trading amount

Real-time Quotes

# Single stock
df = fv.get_cn_stock_quote("000001")

# Multiple stocks
df = fv.get_cn_stock_quote(["000001", "600519", "000858"])

Return Columns

Column	Description
symbol	Stock code
name	Stock name
price	Current price
change	Price change
change_pct	Change percentage
open	Opening price
high	Highest price
low	Lowest price
volume	Trading volume

Stock List

# Main board stocks
df = fv.list_cn_stock_symbols(market="main")

# ChiNext (创业板)
df = fv.list_cn_stock_symbols(market="chinext")

# STAR Market (科创板)
df = fv.list_cn_stock_symbols(market="star")

# All stocks
df = fv.list_cn_stock_symbols()

Search Stocks

# Search by keyword
df = fv.search_cn_stock("银行")

# Search by code prefix
df = fv.search_cn_stock("600")

Data Sources

Priority	Source	Speed	Reliability
1	East Money	Fast	High
2	Sina	Medium	High
3	Tencent	Medium	Medium

Examples

Download and Save to CSV

df = fv.get_cn_stock_daily("000001", start_date="2020-01-01")
df.to_csv("000001_daily.csv", index=False)

Calculate Moving Average

import pandas as pd

df = fv.get_cn_stock_daily("000001", start_date="2024-01-01")
df['MA5'] = df['close'].rolling(5).mean()
df['MA20'] = df['close'].rolling(20).mean()

Get Multiple Stocks

symbols = ["000001", "600519", "000858"]
data = {}

for symbol in symbols:
    data[symbol] = fv.get_cn_stock_daily(symbol, start_date="2024-01-01")