China Funds¶

Guide for accessing China mutual fund data.

Fund NAV History¶

import finvista as fv

# Get NAV history
df = fv.get_cn_fund_nav("110011", start_date="2024-01-01")

Parameters¶

Parameter	Type	Required	Description
`symbol`	str	Yes	Fund code (e.g., "110011")
`start_date`	str	No	Start date (YYYY-MM-DD)
`end_date`	str	No	End date (YYYY-MM-DD)

Return Columns¶

Column	Description
`date`	Date
`nav`	Net Asset Value
`acc_nav`	Accumulated NAV
`change_pct`	Daily change percentage

Real-time Fund Estimates¶

# Get estimated NAV
df = fv.get_cn_fund_quote(["110011", "000001"])

Fund Information¶

info = fv.get_cn_fund_info("110011")

# Returns dict with:
# - name: Fund name
# - type: Fund type
# - manager: Fund manager
# - company: Fund company
# - size: Fund size
# - inception_date: Inception date

List Funds by Type¶

# Stock funds
df = fv.list_cn_fund_symbols(fund_type="stock")

# Bond funds
df = fv.list_cn_fund_symbols(fund_type="bond")

# Money market funds
df = fv.list_cn_fund_symbols(fund_type="money")

# Index funds
df = fv.list_cn_fund_symbols(fund_type="index")

# All funds
df = fv.list_cn_fund_symbols()

Search Funds¶

df = fv.search_cn_fund("沪深300")

Data Source¶

Source	Data Types
Tiantian Fund (天天基金)	NAV, Quotes, Info, List

Examples¶

Track Fund Performance¶

df = fv.get_cn_fund_nav("110011", start_date="2024-01-01")

# Calculate total return
first_nav = df.iloc[0]['nav']
last_nav = df.iloc[-1]['nav']
total_return = (last_nav - first_nav) / first_nav * 100
print(f"Total return: {total_return:.2f}%")

Compare Multiple Funds¶

funds = ["110011", "000001", "519300"]
data = {}

for fund in funds:
    df = fv.get_cn_fund_nav(fund, start_date="2024-01-01")
    data[fund] = df

# Combine into single DataFrame
import pandas as pd
combined = pd.DataFrame({
    fund: data[fund].set_index('date')['nav']
    for fund in funds
})