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AShareHub Chinese Market Data

Query Chinese A-share, ETF, index, financial statement, valuation, capital-flow, and technical-indicator data through the AShareHub Python SDK and hosted API. Use this skill when an agent needs structured China market data as pandas DataFrames.

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  • SKILL.md2.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

AShareHub Chinese Market Data

AShareHub gives AI coding agents a documented interface to Chinese A-share and ETF market data. Use it when a workflow needs daily or real-time prices, valuations, company financial statements, dividends, analyst data, Stock Connect holdings, money flow, index constituents, ETF holdings, news, or technical indicators. The official skill maps natural-language requests to 47 API and Python SDK interfaces and documents each method's inputs and response fields. Public security identifiers use symbol, such as 000001.SZ, 600519.SH, or 000300.SH, and SDK calls return pandas DataFrames for analysis, charting, or export. Access uses the hosted AShareHub API, so users must create an API key; a free tier provides 100 requests per day. See the skill website, API documentation, and MCP setup.

Installation

Install the Python SDK and set the API key issued by AShareHub:

pip install asharehub
export ASHAREHUB_API_KEY="ash_your_key_here"

Codex

git clone --depth 1 https://github.com/ChuYiCui1/AshareHub-skills.git
mkdir -p ~/.codex/skills/asharehub
cp -R AshareHub-skills/skills/en/. ~/.codex/skills/asharehub/

Claude Code

git clone --depth 1 https://github.com/ChuYiCui1/AshareHub-skills.git
mkdir -p .claude/skills/asharehub
cp -R AshareHub-skills/skills/en/. .claude/skills/asharehub/

Example

Ask the agent: "Use AShareHub to fetch CSI 300 daily prices since 2024-01-01 and summarize the monthly returns."

The underlying SDK call is:

from asharehub import AShareHub
import os

client = AShareHub(api_key=os.environ["ASHAREHUB_API_KEY"], version="v2")
prices = client.index_daily(symbol="000300.SH", start_date="20240101")
print(prices[["trade_date", "close", "pct_chg"]])
client.close()

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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