Holder Trade

Transaction-level records of share changes by major shareholders and senior executives/directors, giving each move's direction (increase IN / reduce DE), number of shares and percentage of total share capital changed, post-transaction holdings, and average transaction price. This data directly reflects insiders' stance on their own company's value and is a key input for gauging management confidence and potential supply pressure. Records are aggregated by announcement date and carry some disclosure lag; clustered reductions should be read together with lock-up/unlock schedules.

GET /v2/market/holder-trade

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_type string No IN=increase / DE=decrease

holder_type string No C=company / P=person / G=executive

Response Fields

Field Type Description

symbol string Stock code

ann_date string Announcement date

holder_name string Holder name

holder_type string G=executive, P=individual, C=company

in_de string IN=buy, DE=sell

change_vol number Change volume

change_ratio number Change ratio

after_share number Shares after trade

after_ratio number Ratio after trade

avg_price number Average price

total_share number Total shares

begin_date string Trade begin date

close_date string Trade close date

API Example

cURL

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

Python SDK

from asharehub import AShareHub

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

Sample Data

returns a pandas.DataFrame

symbol	ann_date	holder_name	holder_type	in_de	change_vol	change_ratio	after_share	after_ratio	avg_price	… +3
000001.SZ	20210907	鞠维萍	G	IN	30000	0.0002	30000	0.0002	17.86	…
000001.SZ	20210907	陈新华	P	IN	50000	0.0003	—	—	17.86	…
000001.SZ	20210907	邱伟	G	IN	50000	0.0003	50000	0.0003	17.86	…