Showing 21-40 of 49 projects
A Python library for portfolio optimization and quantitative strategic asset allocation.
A quantitative finance framework for algorithmic trading, portfolio management, and asset pricing.
A comprehensive collection of 150+ Python programs for quantitative finance and stock market data analysis.
An open-source wiki for quantitative finance knowledge, aiming to bridge the information gap between domestic and international industries.
A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.
A curated collection of resources for quant developers, quantitative researchers, and quant traders in finance.
A modern finance application offering advanced market analytics, investment research, and economic data tools.
ArcticDB is a high-performance, serverless DataFrame database for the Python data science ecosystem.
A comprehensive guide to using the BackTrader Python library for quantitative trading and machine learning.
A Python library for interacting with the Robinhood financial app, enabling crypto, options, and stock trading.
Open-source Rust framework for building event-driven live-trading & backtesting systems
A collection of stock analysis tools across various programming languages and platforms.
A Python library for making stock predictions using machine learning and historical stock data.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
A Python library for portfolio optimization using scikit-learn and convex optimization techniques.
This Python project uses symbolic regression to efficiently extract factors in the Chinese stock and crypto markets.
fastquant is a Python library for backtesting and optimizing ML trading strategies with just a few lines of code.
A machine learning repository for quantitative finance and asset management strategies.
A Rust library for quantitative finance, including tools for machine learning, option pricing, and trading.
Open-source algorithmic trading platform for building and deploying automated trading strategies.
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