Showing 36 of 38 projects
A multi-agent LLM framework for financial trading that simulates real-world trading firms with specialized AI agents for market analysis and decision-making.
An open-source data platform that integrates proprietary, licensed, and public financial data sources for analysts, quants, and AI agents.
A self-hostable personal finance application for tracking accounts, transactions, and financial planning.
A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
A Python framework for building analytical web applications and dashboards without writing JavaScript.
An open-source framework for financial large language models, enabling cost-effective fine-tuning for tasks like sentiment analysis and forecasting.
An open-source, event-driven algorithmic trading engine for backtesting and live trading across multiple financial markets.
A performant, small-footprint financial charting library built with HTML5 canvas for interactive web applications.
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
A Python utility for crawling, cleaning, and storing historical financial data for China stocks and futures.
A curated list of practical financial machine learning tools, applications, and research repositories.
An open-source AI agent platform for financial analysis, automating equity research, algorithmic trading, and risk assessment using LLMs.
A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.
A lightweight, zero-dependency k-line chart library built with HTML5 canvas, offering high customizability and mobile support.
A Python library for pricing and risk management of financial derivatives including fixed-income, equity, FX, and credit derivatives.
A real-time FX trading platform showcasing reactive programming principles across the full stack with React and RxJS.
A comprehensive Rust library for quantitative finance, offering pricing models, risk analysis, and financial data tools.
A dead-simple, self-hosted expense tracker with a beautiful UI and monthly pie-chart visualization.
A modern, lightweight, and open-source cryptocurrency portfolio tracker and market explorer built with Flutter.
A Python framework for portfolio optimization using deep learning to allocate investment weights in a single forward pass.
A .NET library for data and time series manipulation with structured data frames, designed for scientific programming.
A powerful, opinionated self-hosted finance tracker with multi-currency support, no-budget philosophy, and automation features.
A Python live trading framework with a zipline-compatible API for executing algorithms via broker APIs.
Open-source teaching materials for a practical Machine Learning in Finance course, focusing on industry tools and real-world use cases.
A modern, high-performance technical analysis library built in Rust with Python and WebAssembly bindings.
Code repository for the second edition of Mastering Python for Finance, implementing advanced financial statistical applications using Python.
A Flutter package for rendering elegant OHLC candlestick and trade volume charts with customizable styling.
A fast, low-latency Financial Information Exchange (FIX) protocol library for the JVM.
A high-performance, type-safe DataFrame library for the JVM enabling large-scale data analysis with parallel processing capabilities.
A C++ library with R interface for practical volume computation and sampling of convex bodies in high dimensions.
A high-performance Rust library for simulating stochastic processes, with applications in quantitative finance, statistical modeling, and synthetic data generation.
A Go library for querying OFX servers and parsing OFX responses, with an example command-line client.
A Python library and CLI tool for managing investment portfolios following Bogleheads principles.
A C# .NET wrapper for the Bittrex cryptocurrency exchange API, providing full REST and WebSocket functionality.
A development environment for managing algorithmic trading operations across a distributed Elixir cluster.
Chinese-language notes for NYU's Financial Machine Learning course, covering core concepts and practical applications.
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