Awesome Quant

Performance analysis of predictive (alpha) stock factors

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

modular quant framework.

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

A Python module for creating Excel XLSX files.

R's data.table package extends data.frame:

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

Algorithmic Trading in Python with Machine Learning

QuantStart.com - QSTrader backtesting simulation engine.

Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

Systematic Trading in python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows, macOS, and Excel on the web.

Statistical and Algorithmic Investing Strategies for Everyone

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

Machine Learning in Finance: From Theory to Practice Book

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.

An Algorithmic Trading Library for Crypto-Assets in Python

A Java library for technical analysis.

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

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

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

QTPyLib, Pythonic Algorithmic Trading

Common financial technical indicators implemented in Pandas.

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Open-source Rust framework for building event-driven live-trading & backtesting systems

Please use openpyxl where you can...

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

Repository containing notebooks of my posts on Medium

Open source time series library for Python

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

CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

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

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.

Hands-On Machine Learning for Algorithmic Trading, published by Packt

Python client for Alpaca's trade API

Financial Data Extraction from Investing.com with Python

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

In-memory tabular data in Julia

A program for financial portfolio management, analysis and optimisation.

Rust library for quantitative finance.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

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

Machine Learning in Asset Management (by @firmai)

Python AutoML for Trading Systems and Sports Betting