Awesome Quant

Extract data from a wide range of Internet sources into a pandas DataFrame.

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

bt - flexible backtesting for Python

ffn - a financial function library for Python

An Algorithmic Trading Library for Crypto-Assets in Python

Read and analyze SEC EDGAR filings in Python. 10-K, 8-K, XBRL financials, Form 3/4/5, 13F, ADV — clean API, well-typed, MIT-licensed.

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

QTPyLib, Pythonic Algorithmic Trading

Common financial technical indicators implemented in Pandas.

Please use openpyxl where you can...

Open source time series library for Python

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

Python library for portfolio optimization built on top of scikit-learn

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

Python client for Alpaca's trade API

Financial Data Extraction from Investing.com with Python

Zipline, a Pythonic Algorithmic Trading Library

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

A program for financial portfolio management, analysis and optimisation.

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Python AutoML for Trading Systems and Sports Betting

Real time stock and option data.

A library for financial options pricing written in Python.

ARCH models in Python

Finviz analysis python library.

Common financial risk and performance metrics. Used by zipline and pyfolio.

The official Python client library for the Massive.com REST and WebSocket API.

Python module to get stock data from Yahoo! Finance

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

Cython QuantLib wrappers

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

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

quant framework for stock

Performant and effortless finance plotting for Python

Portfolio optimization with deep learning.

Library to create spreadsheet files compatible with MS Excel 97/2000/XP/2003 XLS files, on any platform.

A framework for quantitative finance In python.

Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

Exchange calendars to use with pandas for trading applications

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.

Realtime Data From National Stock Exchange (India)

Collection of algorithms for online portfolio selection

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

Python module to get real-time stock data from Google Finance API

Asynchronous, event-driven algorithmic trading in Python and C++

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast