Open Data Platform for analysts, quants and AI agents.
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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.
- quantitative-finance
- machine-learning
- stock-data
- platform
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.
- bloomberg-terminal
- finance
- financial-markets
- investment
Production-grade Rust-native trading engine with deterministic event-driven architecture
- algorithmic-trading-engine
- trading-platform
- crypto-trading
- artificial-intelligence
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
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
- funds
- machine-learning
- pytrade
- quantitative-finance
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
Bindu: The identity, communication, and payments layer for AI agents.
- agent-communication
- autonomous-agents
- agent-orchestration
- a2a
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
modular quant framework.
Quant/Algorithm trading resources with an emphasis on Machine Learning
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
- deep-reinforcement-learning
- stock-trading
- a2c-algorithm
- ppo
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
- asset-allocation
- portfolio
- portfolio-optimization
- quantitative-finance
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
Portfolio optimization with deep learning.
- deep-learning
- portfolio-optimization
- finance
- machine-learning
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Environment for reinforcement-learning algorithmic trading models
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.