港股卖空数据

Get Hong Kong stock short selling data (daily and historical) from HKEX and ETNet. 免费获取港股每日和历史卖空数据。

Security Scan

The skill's code, instructions, and requested resources are coherent with its stated purpose (scraping HKEX and ETNet short-selling data); it accesses only public web pages and stores CSV data locally, and it does not request credentials or unusual privileges.

Purpose & Capability

Name/description (HK short-selling data) align with the included Python modules and scripts which fetch pages from hkex.com.hk and etnet.com.hk, parse tables, produce DataFrames and save CSVs. Required resources (no env vars, no binaries) match the implementation.

Instruction Scope

SKILL.md tells the agent/user to install requests/pandas/beautifulsoup4 and run the provided scripts or import classes — this matches the code. The code performs network requests to the two documented hosts and reads/writes CSV files under a user data directory (default ~/.openclaw/workspace/data/hk-short). This file I/O is expected for a historical-data tool but users should be aware it stores files in their home directory.

Install Mechanism

There is no automatic install spec; SKILL.md suggests pip-installing common libraries (requests, pandas, beautifulsoup4). That is typical and proportionate for the task and does not pull code from untrusted URLs.

Credentials

The skill requests no environment variables or credentials. Network access is limited to public HKEX/ETNet pages. No tokens, secrets, or unrelated service credentials are requested.

Persistence & Privilege

always:false and no special platform privileges. The skill creates and writes CSV files under a default path in the user's home directory (~/.openclaw/workspace/data/hk-short) — normal for a data-collection tool but worth noting. The skill does not modify other skills or system-wide configs.

Assessment

This skill appears to do what it claims: it scrapes public HKEX and ETNet pages and saves CSV files locally. Before installing or running: (1) review or run the code in a virtual environment (venv) and inspect the data directory (~/.openclaw/workspace/data/hk-short) it will create; (2) confirm you are comfortable with periodic web scraping against those sites and their terms of use; (3) run network activity in a sandbox if you want to be cautious; and (4) be aware parsing is brittle so validate outputs against the source pages. There are no credentials requested and no obvious malicious behavior.

港股卖空数据 HK Stock Short Selling

获取港股每日卖空数据，数据来自港交所官网 + ETNet（免费公开）。

功能 Features

1. 当天卖空数据 - 获取指定股票的当日卖空数据（港交所）
2. 历史数据查询 - 获取个股历史卖空数据（ETNet，可查3个月）
3. 排行榜 - 获取卖空金额/股数排行榜
4. 持仓监控 - 监控持仓股票的卖空情况

数据源 Data Source

• 当天数据: 港交所官网 (https://www.hkex.com.hk/chi/stat/smstat/)
• 历史数据: ETNet (https://www.etnet.com.hk/)

安装 Installation

pip install requests pandas beautifulsoup4

使用方法 Usage

命令行

# 获取单只股票当天卖空数据
python3 hk_short_selling.py 2513

# 获取多只股票
python3 hk_short_selling.py 2513 100 700

# 获取当天全部数据
python3 hk_short_selling.py --all

# 获取排行榜
python3 hk_short_selling.py --top 20

获取历史数据

from hk_short_selling import ETNetHistoricalScraper

scraper = ETNetHistoricalScraper()

# 获取个股历史卖空数据
# 参数: 股票代码(去掉前导0), 获取页数
df = scraper.get_stock_short_selling_history('2513', pages=5)

# 返回字段:
# - date: 交易日期
# - short_volume: 卖空股数
# - short_amount: 卖空金额 (港元)
# - short_pct: 卖空占成交比例 (%)
# - turnover: 股票成交金额
# - avg_5d: 5日平均卖空金额
# - total_short_value: 当日全市场卖空总额
# - pct_of_total: 该股占全市场卖空比例

数据字段 Fields

字段	说明
stock_code	股票代码 (5位)
stock_name	股票名称
short_volume	卖空股数
short_amount	卖空金额 (港元)
short_pct	卖空占成交比例 (%)
market	主板/创业板
date	数据日期

示例 Examples

from hk_short_selling import HKShortSeller, ETNetHistoricalScraper

# 获取当天数据
seller = HKShortSeller()
df = seller.get_today_data(stock_codes=['2513', '100', '700'])
print(df)

# 获取历史数据
scraper = ETNetHistoricalScraper()
df_hist = scraper.get_stock_short_selling_history('700', pages=3)
print(df_hist)

# 获取排行榜
top10 = seller.get_top(n=10, by='amount')
print(top10)

注意事项 Notes

1. 当天数据每日更新，通常在收市后晚上可获取
2. 只有当日有卖空交易的股票才会出现
3. 历史数据通过ETNet获取，约3个月历史