AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Use Web Scraper API to extract data from Google Finance, including stock titles, pricing, and price changes in percentages.

An easy and lightweight wrapper for using the Charles Schwab API.

Download Bovespa Stock Market fundamentals with Python.

Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]

Standardized interface for Chinese financial market data, built on AKShare with unified data formats and simplified APIs

Use Yahoo Finance or Google's 'hidden' Finance APIs to retrieve current stock and forex data as well as historic quotes

BCRA Wrapper in Python: A Python wrapper to easily retrieve data from the BCRA in Pandas format using the official API.

Python module to interact with TipRanks API.

An intelligent agent utilizing Large Language Models (LLMs) for automated financial news retrieval and stock price prediction.

Personal Capital library for accessing its API

open-source framework for building and deploying high-frequency trading bots using Python. It provides a low-latency, modular system for running sophisticated strategies like VWAP and arbitrage across multiple exchanges.

Sinopac Securities API for VNPY

Made for the Google Cloud Vertex AI Hackathon, summarize SEC Earnings reports using NLP, LLMs (PaLM2).

A fast, lightweight Python interface to the AlphaVantage API.

An Async library for accessing Indian stock broker API and Websockets.

📈 PydanticAI Stock Assistant - A Python-based financial analysis tool that leverages the Yahoo Finance API (yfinance) to fetch and analyze stock market data. Built with data integrity at its core through Pydantic validation.

A Python wrapper to easily retrieve data from the Office of Financial Research (OFR) in pandas format using the official API.

The unofficial API for accessing financial data from the Guyana Stock Exchange (GSE).

A full-stack web application to track stock market data using Yahoo Finance API. Built with React for frontend and Flask for backend.