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akfamily/akshare

📈 Trending★ 19,456PythonAudience · researcherComplexity · 2/5ActiveLicenseSetup · easy

TLDR

Python library that fetches financial market data (stocks, bonds, currencies) with a single function call, returning clean tables ready for analysis.

Mindmap

mindmap
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    What it does
      Fetch market data
      Clean structured tables
      Single-line queries
    Data types
      Stock prices
      Bond data
      Currency rates
      Financial instruments
    Use cases
      Academic research
      Quantitative analysis
      Asset pricing studies
    Tech stack
      Python 3.9+
      Pandas DataFrames
      Financial APIs
    Audience
      Researchers
      Data analysts
      Quant developers

Things people build with this

USE CASE 1

Pull historical stock prices for Chinese A-shares and analyze price trends without manual data cleaning.

USE CASE 2

Build quantitative research tools that fetch real-time bond and currency data for portfolio analysis.

USE CASE 3

Study asset pricing models by accessing clean financial market data across multiple instruments in one function call.

Tech stack

PythonPandasNumPy

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

AKShare is a Python library that makes it easy to fetch financial data with just a single line of code. The problem it solves is straightforward: gathering financial market data, stock prices, bonds, currency rates, and more, normally requires navigating complex APIs, handling authentication, and cleaning messy data formats. AKShare wraps all of that complexity behind simple, readable Python functions. You call one function and get back a clean, structured table of data ready for analysis. For example, you can pull daily historical prices for a Chinese A-share stock, or plot a candlestick chart for Apple's stock price, without wrestling with raw data feeds. The library is built for academic research and data analysis use, it is not intended for live trading decisions. You would use AKShare if you are doing financial data analysis, studying asset pricing, or building quantitative research tools in Python. It requires Python 3.9 or higher and can be installed with a single pip command. The data it provides covers stocks, bonds, currencies, and other financial instruments, with documentation primarily in Chinese given its focus on Chinese financial markets.

Copy-paste prompts

Prompt 1
Show me how to use AKShare to fetch daily historical prices for a specific Chinese stock and load it into a Pandas DataFrame.
Prompt 2
Write a Python script using AKShare to pull currency exchange rates and create a simple analysis of rate changes over time.
Prompt 3
How do I use AKShare to get bond market data and combine it with stock data for a multi-asset portfolio analysis?
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