qlib
Quantitative Investment Platform
An AI-oriented quantitative investment platform that supports machine learning modeling and automated trading.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
16k stars
301 watching
3k forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
algorithmic-tradingauto-quantdeep-learningfinancefintechinvestmentmachine-learningpaperplatformpythonquantquant-datasetquant-modelsquantitative-financequantitative-tradingresearchresearch-paperstock-data
Related projects:
Repository | Description | Stars |
---|---|---|
| Automates machine learning workflows and optimizes model performance using large language models and efficient algorithms | 3,968 |
| A curated collection of machine learning and data science projects applied to various industries. | 7,274 |
| A tool that generates QR codes with customizable styles and parameters using AI and parametric techniques. | 6,288 |
| A large language model series with various sizes and variants for text generation and understanding. | 10,959 |
| A comprehensive C++ library for modeling, trading, and risk management in quantitative finance. | 5,480 |
| A comprehensive Python library for machine learning in finance | 4,004 |
| This repository provides large language models and chat capabilities based on pre-trained Chinese models. | 14,797 |
| A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 8,069 |
| A collection of notebooks and blogs on quantitative finance and trading strategies, including machine learning, deep reinforcement learning, and backtesting. | 2,157 |
| An analytics package for financial data and quantitative investment strategies | 198 |
| A toolkit for fine-tuning and inferring large machine learning models | 8,312 |
| A curated collection of practical financial machine learning tools and applications | 7,422 |
| A collection of Python modules and scripts implementing various quantitative trading strategies and techniques. | 6,078 |
| Automated workflows for quantum mechanical environments using Python. | 100 |
| A platform for building AI agents that can learn from and answer questions across multiple data sources using machine learning and natural language processing. | 26,915 |