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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.
455 repos currently saved from this list.
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Python for Finance Cookbook, published by Packt
A Python Pandas implementation of technical analysis indicators
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
A python library for time-series smoothing and outlier detection in a vectorized way.
AI-based stock analysis and trading system
DX Analytics | Financial and Derivatives Analytics with Python
An open-source alternative to Yahoo Finance's market data APIs with higher reliability.
Python live trade execution library with zipline interface.
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Calendars for various securities exchanges.
A Python library for mathematical finance
Performance analysis of predictive (alpha) stock factors
Quantitative Finance tools
Python SDK for IEX Cloud
Time series analysis in the `tidyverse`
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
SABR model Python implementation
Top training materials in quantitative finance
Portfolio and risk analytics in Python
low code backtesting library utilizing polars and technical analysis indicators
Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.
Download live and historical data for Indian stock market
A Python library for evaluating option trading strategies.
A package to work with SEC data. Incorporates datamule endpoints.
Applications of Monte Carlo methods to financial engineering projects, in Python.
A Python package for aggregating and normalizing historical data from popular and free financial APIs.
talipp - incremental technical analysis library for python
Fetch stock quote data from Yahoo Finance
Notebooks that replicate original quantitative finance papers from Emanuel Derman
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
QuantSoftwareToolkit
Library for fitting the LPPLS model to data.
High-performance technical analysis indicators and backtesting framework in TypeScript. Zero dependencies. ✨ See how! 👀
Lightweight Python library for assembling and analysing financial data
Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Quantitative Finance and Algorithmic Trading
No description.
A python wrapper around the https://coinmarketcap.com API.
Open Source Algorithmic Trading Engine
Fast, easy automatic differentiation in C++
QLNet C# Library
Toolkit for integration and analysis
Financial maths library for risk-neutral pricing and risk
Python interface to IEX and IEX cloud APIs
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
Quant DSL