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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Open Data Platform for analysts, quants and AI agents.
Free, open source crypto trading bot
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
基于Python的开源量化交易平台开发框架
Extremely fast Query Engine for DataFrames, written in Rust
The fundamental package for scientific computing with Python.
"Vibe-Trading: Your Personal Trading Agent"
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Production-grade Rust-native trading engine with deterministic event-driven architecture
Download market data from Yahoo! Finance's API
Python Backtesting library for trading strategies
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Zipline, a Pythonic Algorithmic Trading Library
SciPy library main repository
A computer algebra system written in pure Python
Python training for business analysts and traders
Python wrapper for TA-Lib (http://ta-lib.org/).
Statsmodels: statistical modeling and econometrics in Python
Bayesian Modeling and Probabilistic Programming in Python
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance TensorFlow library for quantitative finance.
Technical Analysis Library using Pandas and Numpy
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
A python wrapper for Alpha Vantage API for financial data.
Performance analysis of predictive (alpha) stock factors
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.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Algorithmic Trading in Python with Machine Learning
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.
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.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Common financial technical indicators implemented in Pandas.
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Python client for Alpaca's trade API
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
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.
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.