Showing 1-20 of 47 projects
AI-powered hedge fund simulation with multiple investment agent strategies
Cryptocurrency trading API library for connecting to 100+ exchanges
AI-powered quantitative investment platform for finance and trading
vn.py is an open-source quantitative trading platform development framework based on Python.
Code for machine learning-based algorithmic trading strategies and workflows.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
A community-driven multi-agent platform for building financial applications using AI and crypto.
A curated list of practical financial machine learning tools and applications for developers.
Backtesting.py is a Python library for backtesting and evaluating trading strategies in the financial markets.
Open-source wealth management software built with Angular, NestJS, Prisma, and TypeScript.
A desktop investment tracking app built with Tauri and TypeScript for macOS.
This is a repository for a project focused on regular investing, not a developer discovery platform for vibe coders.
A Python library for financial portfolio optimization, including classical efficient frontier and advanced techniques.
A comprehensive Python toolkit for transparent and efficient financial analysis across equities, commodities, and more.
A Python library for portfolio optimization and quantitative strategic asset allocation.
A Java library for tracking and evaluating the performance of investment portfolios across stocks, crypto, and other assets.
A VSCode extension that provides real-time monitoring of stocks, funds, and futures for investment-focused developers.
Open-source statistical and algorithmic investing strategies for everyone
A high-performance open-source quantitative trading research framework for finance and investing based on C++/Python.
A Python library for pricing and risk-management of financial derivatives, including fixed-income, equity, FX and credit derivatives.
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