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Dev #5308

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Nov 5, 2024
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Dev #5308

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7270527
新增 stock_management_change_ths 接口和 bugfix (#5307)
congcong009 Nov 5, 2024
c6ae614
fix: fix stock_inner_trade_xq
albertandking Nov 5, 2024
2128746
feat: add stock_management_change_ths
albertandking Nov 5, 2024
2899715
feat: add stock_management_change_ths
albertandking Nov 5, 2024
f112299
docs: update date
albertandking Nov 5, 2024
e8e68ac
feat: add version 1.15.13
albertandking Nov 5, 2024
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4 changes: 3 additions & 1 deletion akshare/__init__.py
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Expand Up @@ -2922,9 +2922,10 @@
1.15.10 add: add volatility_yz_rv indicator
1.15.11 fix: fix stock_individual_spot_xq indicator
1.15.12 fix: fix stock_shareholder_change_ths indicator
1.15.13 fix: fix stock_inner_trade_xq indicator
"""

__version__ = "1.15.12"
__version__ = "1.15.13"
__author__ = "AKFamily"

import sys
Expand Down Expand Up @@ -3206,6 +3207,7 @@
stock_financial_debt_ths,
stock_financial_benefit_ths,
stock_financial_cash_ths,
stock_management_change_ths,
stock_shareholder_change_ths,
)

Expand Down
70 changes: 39 additions & 31 deletions akshare/stock_feature/stock_inner_trade_xq.py
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@@ -1,10 +1,11 @@
# -*- coding:utf-8 -*-
# !/usr/bin/env python
"""
Date: 2022/4/29 17:01
Date: 2024/11/5 16:00
Desc: 雪球-行情中心-沪深股市-内部交易
https://xueqiu.com/hq/insider
"""

import pandas as pd
import requests

Expand All @@ -18,10 +19,10 @@ def stock_inner_trade_xq() -> pd.DataFrame:
"""
url = "https://xueqiu.com/service/v5/stock/f10/cn/skholderchg"
params = {
'size': '100000',
'page': '1',
'extend': 'true',
'_': '1651223013040',
"size": "100000",
"page": "1",
"extend": "true",
"_": "1651223013040",
}
headers = {
"Accept": "*/*",
Expand All @@ -38,39 +39,46 @@ def stock_inner_trade_xq() -> pd.DataFrame:
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.127 Safari/537.36",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/100.0.4896.127 Safari/537.36",
"X-Requested-With": "XMLHttpRequest",
}
r = requests.get(url, params=params, headers=headers)
data_json = r.json()
temp_df = pd.DataFrame(data_json["data"]["items"])
temp_df.columns = [
'股票代码',
'股票名称',
'变动人',
'-',
'变动日期',
'变动股数',
'成交均价',
'变动后持股数',
'与董监高关系',
'董监高职务',
"股票代码",
"股票名称",
"变动人",
"-",
"变动日期",
"变动股数",
"成交均价",
"变动后持股数",
"与董监高关系",
"董监高职务",
]
temp_df = temp_df[
[
"股票代码",
"股票名称",
"变动日期",
"变动人",
"变动股数",
"成交均价",
"变动后持股数",
"与董监高关系",
"董监高职务",
]
]
temp_df = temp_df[[
'股票代码',
'股票名称',
'变动日期',
'变动人',
'变动股数',
'成交均价',
'变动后持股数',
'与董监高关系',
'董监高职务',
]]
temp_df['变动日期'] = pd.to_datetime(temp_df['变动日期'], unit="ms").dt.date
temp_df['变动股数'] = pd.to_numeric(temp_df['变动股数'], errors="coerce")
temp_df['成交均价'] = pd.to_numeric(temp_df['成交均价'], errors="coerce")
temp_df['变动后持股数'] = pd.to_numeric(temp_df['变动后持股数'], errors="coerce")
temp_df["变动日期"] = (
pd.to_datetime(temp_df["变动日期"], unit="ms", utc=True)
.dt.tz_convert("Asia/Shanghai")
.dt.date
)
temp_df["变动股数"] = pd.to_numeric(temp_df["变动股数"], errors="coerce")
temp_df["成交均价"] = pd.to_numeric(temp_df["成交均价"], errors="coerce")
temp_df["变动后持股数"] = pd.to_numeric(temp_df["变动后持股数"], errors="coerce")
return temp_df


Expand Down
54 changes: 53 additions & 1 deletion akshare/stock_fundamental/stock_finance_ths.py
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Expand Up @@ -11,6 +11,7 @@
import pandas as pd
import requests
from bs4 import BeautifulSoup

from akshare.utils.cons import headers


Expand Down Expand Up @@ -163,13 +164,61 @@ def stock_financial_cash_ths(
return temp_df


def stock_management_change_ths(symbol: str = "688981") -> pd.DataFrame:
"""
同花顺-公司大事-高管持股变动
https://basic.10jqka.com.cn/new/688981/event.html
:param symbol: 股票代码
:type symbol: str
:return: 同花顺-公司大事-高管持股变动
:rtype: pandas.DataFrame
"""
url = f"https://basic.10jqka.com.cn/new/{symbol}/event.html"
r = requests.get(url, headers=headers)
r.encoding = "gb2312"
soup = BeautifulSoup(r.text, features="lxml")
soup_find = soup.find(name="table", attrs={"class": "data_table_1 m_table m_hl"})
if soup_find is not None:
content_list = [item.text.strip() for item in soup_find]
column_names = content_list[1].split("\n")
row = (
content_list[3]
.replace(" ", "")
.replace("\t", "")
.replace("\n\n", "")
.replace(" ", "\n")
.replace("\n\n", "\n")
.split("\n")
)
row = [item for item in row if item != ""]
new_rows = []
step = len(column_names)
for i in range(0, len(row), step):
new_rows.append(row[i : i + step])
temp_df = pd.DataFrame(new_rows, columns=column_names)
temp_df.sort_values(by="变动日期", ignore_index=True, inplace=True)
temp_df["变动日期"] = pd.to_datetime(
temp_df["变动日期"], errors="coerce"
).dt.date
temp_df.rename(
columns={
"变动数量（股）": "变动数量",
"交易均价（元）": "交易均价",
"剩余股数（股）": "剩余股数",
},
inplace=True,
)
return temp_df
return pd.DataFrame()


def stock_shareholder_change_ths(symbol: str = "688981") -> pd.DataFrame:
"""
同花顺-公司大事-股东持股变动
https://basic.10jqka.com.cn/new/688981/event.html
:param symbol: 股票代码
:type symbol: str
:return: 同花顺-财务指标-主要指标
:return: 同花顺-公司大事-股东持股变动
:rtype: pandas.DataFrame
"""
url = f"https://basic.10jqka.com.cn/new/{symbol}/event.html"
Expand Down Expand Up @@ -267,5 +316,8 @@ def stock_shareholder_change_ths(symbol: str = "688981") -> pd.DataFrame:
)
print(stock_financial_cash_ths_df)

stock_management_change_ths_df = stock_management_change_ths(symbol="688981")
print(stock_management_change_ths_df)

stock_shareholder_change_ths_df = stock_shareholder_change_ths(symbol="688981")
print(stock_shareholder_change_ths_df)
7 changes: 7 additions & 0 deletions docs/changelog.md
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Expand Up @@ -80,6 +80,11 @@

## 更新说明详情

1.15.13 fix: fix stock_inner_trade_xq indicator

1. 修复 stock_inner_trade_xq 接口
2. 新增 stock_management_change_ths 接口

1.15.12 fix: fix stock_shareholder_change_ths indicator

1. 修复 stock_shareholder_change_ths 接口
Expand Down Expand Up @@ -4695,6 +4700,8 @@

## 版本更新说明

1.15.13 fix: fix stock_inner_trade_xq indicator

1.15.12 fix: fix stock_shareholder_change_ths indicator

1.15.11 fix: fix stock_individual_spot_xq indicator
Expand Down
80 changes: 68 additions & 12 deletions docs/data/stock/stock.md
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Expand Up @@ -11998,6 +11998,61 @@ print(stock_gdfx_holding_change_em_df)
33900 33901 ... 000761|本钢板材,200761|本钢板B
```


#### 高管持股变动统计

接口: stock_management_change_ths

目标地址: https://basic.10jqka.com.cn/new/688981/event.html

描述: 同花顺-公司大事-高管持股变动

限量: 单次返回所有数据

输入参数

| 名称 | 类型 | 描述 |
|--------|-----|-----------------------|
| symbol | str | symbol="688981"; 股票代码 |

输出参数

| 名称 | 类型 | 描述 |
|---------|--------|---------|
| 公告日期 | object | - |
| 变动人 | object | - |
| 与公司高管关系 | object | - |
| 变动数量 | object | 注意单位: 股 |
| 交易均价 | object | 注意单位: 元 |
| 剩余股数 | object | 注意单位: 股 |
| 变动途径 | object | - |

接口示例

```python
import akshare as ak

stock_management_change_ths_df = ak.stock_management_change_ths(symbol="688981")
print(stock_management_change_ths_df)
```

数据示例

```
变动日期 变动人 与公司高管关系 ... 交易均价 剩余股数 股份变动途径
0 2022-09-01 张昕 核心技术人员 ... 20.00 9.60万 股权激励
1 2022-09-01 金达 核心技术人员 ... 20.00 4.80万 股权激励
2 2022-09-01 阎大勇 核心技术人员 ... 20.00 4.20万 股权激励
3 2022-10-10 阎大勇 核心技术人员 减持4.20万 37.98 0.00 二级市场买卖
... ... ...
10 2024-09-05 阎大勇 核心技术人员 增持3.50万 20.00 7.00万 股权激励实施
11 2024-09-05 张昕 核心技术人员 增持8.00万 20.00 16.00万 股权激励实施
12 2024-09-25 张昕 核心技术人员 减持1.80万 45.31 14.20万 二级市场买卖
13 2024-09-30 金达 核心技术人员 减持4.00万 54.87 4.00万 二级市场买卖
[13 rows x 7 columns]
```


#### 股东持股变动统计

接口: stock_shareholder_change_ths
Expand Down Expand Up @@ -21211,18 +21266,19 @@ print(stock_inner_trade_xq_df)
数据示例

```
股票代码 股票名称 变动日期 ... 变动后持股数 与董监高关系 董监高职务
0 SH688019 安集科技 2022-04-27 ... 3364.0 核心技术人员
1 SH603668 天马科技 2022-04-27 ... 9283431.0 本人 董事
2 SH603668 天马科技 2022-04-27 ... 6228100.0 本人 董事
3 SH603656 泰禾智能 2022-04-27 ... 199700.0 本人 董事
4 SZ300931 通用电梯 2022-04-26 ... 1591200.0 本人 董事
... ... ... ... ... ... ...
15971 SH601838 成都银行 2021-01-03 ... 160000.0 本人 董事
15972 SH601107 四川成渝 2021-01-03 ... 30000.0 本人 董事
15973 SH600988 赤峰黄金 2021-01-03 ... 2000.0 本人 监事
15974 SH600760 中航沈飞 2021-01-03 ... 79000.0 本人 高级管理人员
15975 SH600760 中航沈飞 2021-01-03 ... 35100.0 本人 高级管理人员
股票代码 股票名称 变动日期 变动人 ... 成交均价 变动后持股数 与董监高关系 董监高职务
0 SH688787 海天瑞声 2024-11-04 吕思遥 ... 63.00 42850.0 本人 董事
1 SH688550 瑞联新材 2024-11-04 胡湛 ... 31.11 39014.0 本人 高级管理人员
2 SH600868 梅雁吉祥 2024-11-04 李明 ... 2.39 26650702.0 本人 董事
3 SZ301206 三元生物 2024-11-01 聂在建 ... 27.71 93698700.0 本人 董事
4 SZ300963 中洲特材 2024-11-01 韩明 ... 9.69 32119500.0 本人 董事
... ... ... ... ... ... ... ... ... ...
23300 SH601028 玉龙股份 2023-01-03 张鹏 ... 11.69 7000.0 本人 董事
23301 SH600875 东方电气 2023-01-03 胡修奎 ... 22.60 65000.0 本人 高级管理人员
23302 SH600089 特变电工 2023-01-03 胡有成 ... 6.51 700000.0 本人 高级管理人员
23303 SH600079 人福医药 2023-01-03 王学海 ... 24.00 4615346.0 本人 董事
23304 SH600079 人福医药 2023-01-03 徐华斌 ... 25.04 14300716.0
[23305 rows x 9 columns]
```

#### 个股人气榜-最新排名
Expand Down
2 changes: 1 addition & 1 deletion docs/introduction.md
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Expand Up @@ -6,7 +6,7 @@
**风险提示**：[AKShare](https://github.com/akfamily/akshare) 开源财经数据接口库所采集的数据皆来自公开的数据源，不涉及任何个人隐私数据和非公开数据。
同时本项目提供的数据接口及相关数据仅用于学术研究，任何个人、机构及团体使用本项目的数据接口及相关数据请注意商业风险。

1. 本文档更新时间：**2024-11-03**；
1. 本文档更新时间：**2024-11-05**；
2. 如有 [AKShare](https://github.com/akfamily/akshare) 库、文档及数据的相关问题，请在 [AKShare Issues](https://github.com/akfamily/akshare/issues) 中提 Issues；
3. 欢迎关注 **数据科学实战** 微信公众号；<div><img src="https://jfds-1252952517.cos.ap-chengdu.myqcloud.com/akshare/readme/qrcode/ds.png"></div>
4. **知识星球【数据科学实战】** 2024 全新改版，聚焦于量化投资内容，欢迎加入 **知识星球【数据科学实战】** 高质量社区，里面有丰富的视频课程、问答、文章、书籍及代码等内容：
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1 change: 1 addition & 0 deletions docs/tutorial.md
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Expand Up @@ -1282,6 +1282,7 @@
"qdii_a_index_jsl" # 集思录-T+0 QDII-亚洲市场-亚洲指数
# 同花顺-公司大事-股东持股变动
"stock_shareholder_change_ths" # 同花顺-公司大事-股东持股变动
"stock_management_change_ths" # 同花顺-公司大事-高管持股变动

# 计算指标
"volatility_yz_rv" # 已实现波动率计算
Expand Down