Market Daily

Daily OHLC bars for A-shares, one row per stock per trading day, including open, high, low, close, previous close, price change, percentage change, volume, and turnover. History extends back to 1990 and updates after each market close. Note that prices are raw and unadjusted, so cross-ex-dividend historical analysis or long-horizon return calculations must be combined with adjustment factors; volume is in lots (1 lot = 100 shares) and turnover is in thousands of CNY.

GET /v2/market/daily

Parameters

Name Type Required Description

symbol string No Stock code, e.g. 000001.SZ

start_date string No Start date (YYYYMMDD)

end_date string No End date (YYYYMMDD)

trade_date string No Trading date YYYYMMDD (single day)

Response Fields

Field Type Description

symbol string Stock code

trade_date string Trading date

open number Opening price

high number Highest price

low number Lowest price

close number Closing price

pre_close number Previous close

change number Price change

pct_chg number Change %

vol number Volume (lots)

amount number Turnover (CNY thousands)

API Example

cURL

curl -H "X-API-Key: YOUR_KEY" \
  "https://asharehub.com/v2/market/daily?symbol=000001.SZ"

Python SDK

from asharehub import AShareHub

client = AShareHub(api_key="YOUR_KEY")
df = client.market_daily(symbol="000001.SZ")
print(df.head())

Sample Data

returns a pandas.DataFrame

symbol	trade_date	open	high	low	close	pre_close	change	pct_chg	vol	… +1
000001.SZ	20260626	10.42	10.47	10.19	10.23	10.42	-0.19	-1.8234	1236481.64	…
000001.SZ	20260625	10.47	10.59	10.41	10.42	10.51	-0.09	-0.8563	1083999.05	…
000001.SZ	20260624	10.68	10.78	10.51	10.51	10.71	-0.2	-1.8674	1125841.14	…

Data source and units

The upstream field definitions are documented in Tushare's daily stock price reference. AShareHub exposes the public code as symbol. Daily vol is measured in lots of 100 shares and amount in CNY 1,000; the intraday quote endpoint has its own units and timestamps. Check returned trading dates before combining datasets.

For comparable prices across dividends and splits, combine daily bars with adjustment factors and an explicit anchor date. Data is provided for research and may be delayed or revised.