🔎 📈 🐍 💰 Backtest trading strategies in Python.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Transparent and Efficient Financial Analysis

Financial Data Extraction from Investing.com with Python

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more

Passive Investing for the Average Joe

🤏🏻 `investpy` but made tiny

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

📈 파이썬 한국투자증권 REST 기반 Trading API 라이브러리

Financial Web Scraper & Sentiment Classifier

Deep learning for forecasting company fundamental data

Investing library and command-line interface inspired by the Bogleheads philosophy

The unofficial Python API client library for the Charles Schwab API. This library allows for easy access of the Standard REST API and Streaming API.

Trading Technical Indicators python library

A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.

A simple Python package for optimizing investment portfolios using historical return data from Yahoo Finance. Users can easily determine the optimal portfolio allocation among a given set of tickers based on the mean-variance optimization method or other algorithms.