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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.
TranslatedAn open-source quantitative trading platform development framework based on Python
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.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
TranslatedAI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
ValueCell is a community-driven, multi-agent platform for financial applications.
A curated list of practical financial machine learning tools and applications.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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.
🌐 The all-in-one tool, for keeping track of your domain name portfolio. Got domain names? Get Domain Locker!
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Translated研迹 Trail (Yanji, "research trail"): a local-first AI investment research workbench. Connects market quotes, candlestick charts, and deep research, so that judgments are traceable and risks can be reviewed. Local-first AI investment research desktop with an evidence-grounded copilot.
TranslatedA-share research and simulated trading workbench: integrates news event analysis, strategy contracts, quantitative ranking, data admission, simulated order matching, and an auditable ledger.
Investor’s Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?
Wrap existing D code for use in Python, Excel, C#
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Ethical Capital's agent skills