China Indices

Guide for accessing China stock market index data.

Index Daily Data

import finvista as fv

# SSE Composite Index (上证综指)
df = fv.get_cn_index_daily("000001", start_date="2024-01-01")

# SZSE Component Index (深证成指)
df = fv.get_cn_index_daily("399001", start_date="2024-01-01")

# CSI 300 (沪深300)
df = fv.get_cn_index_daily("000300", start_date="2024-01-01")

Return Columns

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

Real-time Index Quotes

# Get real-time quotes
df = fv.get_cn_index_quote(["000001", "399001", "000300"])

Major Indices

# List all major indices
df = fv.list_cn_major_indices()

Common Index Codes

Code	Name	Description
000001	上证综指	SSE Composite Index
399001	深证成指	SZSE Component Index
000300	沪深300	CSI 300
000016	上证50	SSE 50
000905	中证500	CSI 500
399006	创业板指	ChiNext Index
000688	科创50	STAR 50

Data Sources

Priority	Source
1	East Money
2	Sina

Examples

Market Overview

indices = ["000001", "399001", "000300", "399006"]
df = fv.get_cn_index_quote(indices)
print(df[['symbol', 'name', 'price', 'change_pct']])

Historical Comparison

import pandas as pd

indices = {
    "000001": "上证综指",
    "399001": "深证成指",
    "000300": "沪深300"
}

data = {}
for code, name in indices.items():
    df = fv.get_cn_index_daily(code, start_date="2024-01-01")
    data[name] = df.set_index('date')['close']

combined = pd.DataFrame(data)
# Normalize to 100
normalized = combined / combined.iloc[0] * 100