Financial data platform for analysts, quants and AI agents.
基于Python的开源量化交易平台开发框架
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Data Apps & Dashboards for Python. No JavaScript Required.
TuShare is a utility for crawling historical data of China stocks
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
A curated list of practical financial machine learning tools and applications.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Portfolio analytics for quants, written in Python
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
High-performance TensorFlow library for quantitative finance.
A python wrapper for Alpha Vantage API for financial data.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Financial Markets Data Visualization using Matplotlib
Transparent and Efficient Financial Analysis
Extract data from a wide range of Internet sources into a pandas DataFrame.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
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