akshare

Name: akshare
Availability: InStock
Author: succ985

Fetch real-time and historical Chinese financial data via AkShare with caching.

9|3|Updated Feb 8, 2026

Search Tags:#real-time #finance #stock-data #akshare #historical #macroeconomics

Ready to run

npx skills add https://github.com/succ985/openclaw-akshare-skill --skill akshare-succ985

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: akshare
Source: https://github.com/succ985/openclaw-akshare-skill/tree/main
Command: npx skills add https://github.com/succ985/openclaw-akshare-skill --skill akshare-succ985

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires akshare, pandas, pyarrow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Enables programmatic access to real-time and historical Chinese financial data from A-shares, HK stocks, US stocks, futures, funds, and macro indicators, empowering automated analytics and reporting within OpenClaw.

Core Features & Use Cases

Real-time quotes and historical data across major markets (A-shares, HK, US) and futures
Fund and macroeconomic indicators retrieval, plus index data for market overview
Use Case: Automate daily market snapshot generation and feed insights into OpenClaw workflows.

Quick Start

Install AkShare and run a sample to fetch real-time stock quotes.

Frequently Asked Questions about akshare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I retrieve real-time and historical Chinese stock data programmatically?▼

You can retrieve real-time and historical Chinese financial data programmatically by using this skill to access A-shares, HK stocks, US stocks, futures, and funds via a cached data retrieval pipeline with retry logic.

Can I automate daily market snapshot generation for A-shares and futures?▼

Yes, you can automate daily market snapshot generation by utilizing the skill's subcommands and CLI, fetching real-time quotes and historical data to feed insights directly into your automated workflows.

Does this skill support retrieving macroeconomic indicators and fund data?▼

The skill supports retrieving macroeconomic indicators and fund data, alongside index data for market overview, enabling comprehensive financial analytics across multiple asset classes.

What's the best way to cache financial data locally for automated analytics?▼

The best way to cache financial data locally is by using the skill's Parquet storage format, which efficiently stores retrieved market data within a cached pipeline designed for automated analytics.

Do I need pandas and pyarrow to fetch historical market data with AkShare?▼

Yes, you need pandas and pyarrow installed as dependencies, as the skill relies on them to structure the retrieved historical market data and manage the Parquet cache storage.

Why does the data retrieval pipeline include retry logic for market quotes?▼

The data retrieval pipeline includes retry logic to handle transient network failures when fetching real-time market quotes, ensuring reliable data access for A-shares and other financial instruments.