Awesome Quant

Performance analysis of predictive (alpha) stock factors

Financial Markets Data Visualization using Matplotlib

modular quant framework.

Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.

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

An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis and backtesting Trading model R&D · Ultra-fast engine · Efficient backtesting

Systematic Trading in python

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, 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

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.

ffn - a financial function library for Python

Machine Learning in Finance: From Theory to Practice Book

An Algorithmic Trading Library for Crypto-Assets in Python

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

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.

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

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

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

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

QTPyLib, Pythonic Algorithmic Trading

Common financial technical indicators implemented in Pandas.

Please use openpyxl where you can...

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

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.

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

AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.

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

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

Python client for Alpaca's trade API

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

Financial Data Extraction from Investing.com with Python

In-memory tabular data in Julia

A program for financial portfolio management, analysis and optimisation.

Rust library for quantitative finance.

High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀

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!