Awesome Quant

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

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

QuantStart.com - QSTrader backtesting simulation engine.

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

Systematic Trading in python

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。

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

Machine Learning in Finance: From Theory to Practice Book

ffn - a financial function library for Python

An Algorithmic Trading Library for Crypto-Assets in Python

A Java library for technical analysis.

🚀 💸 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.

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.

: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.

Please use openpyxl where you can...

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

Open source time series library for Python

Repository containing notebooks of my posts on Medium

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

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

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

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

Python client for Alpaca's trade API

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

Financial Data Extraction from Investing.com with Python

In-memory tabular data in Julia

Zipline, a Pythonic Algorithmic Trading Library

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

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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

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