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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.
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.
Modern React starter kit with Bun, TypeScript, Tailwind CSS, tRPC, Stripe, and Cloudflare Workers. Production-ready monorepo for building fast web apps.
A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma). Full-featured: Auth (email, google, github, slack, MS), Email sending, Background jobs, Landing page, Payments (Stripe, Polar.sh), Shadcn UI, S3 file upload. AI-ready with tailored AGENTS.md, skills, and Claude Code plugin. One cmd deploy. Powered by Wasp full-stack framework.
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Dolibarr ERP CRM is a modern software package to manage your company or foundation's activity (contacts, suppliers, invoices, orders, stocks, agenda, accounting, ...). it's an open source Web application (written in PHP) designed for businesses of any sizes, foundations and freelancers.
modular quant framework.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A modern SaaS template/boilerplate built with SvelteKit, Tailwind, and Supabase. Includes marketing page, blog, subscriptions, auth, user dashboard, user settings, pricing page, and more.
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
The modern cryptocurrency trading bot framework written in Go.
Python module to get stock data from Yahoo! Finance
C#/.NET client library for the Binance.com cryptocurrency exchange REST and WebSocket APIs, supporting Spot and Futures trading and market data with strongly typed models.
Modern crypto portfolio & market explorer. Built with @Flutter
A modern In-App Purchases management framework for iOS.
Modern & private time tracking for macOS & Windows. No cloud, no registration, no paywall. Just download and track your work hours 100% offline.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
💰 Ocular - A fancy, simplistic, beautiful and straight-forward, open-source budgeting tracking app to track your budget across the years. Easy to use, to get started and to set up.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.