Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

基于Python的开源量化交易平台开发框架

FinRL: Financial Reinforcement Learning. 🔥

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

Democratizing Internet-scale financial data.

Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.

Download market data from Yahoo! Finance's API

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

Massively Parallel Deep Reinforcement Learning. 🔥

Tutorials. Please star.

Zipline, a Pythonic Algorithmic Trading Library

For trading. Please star.

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

Blogs, tutorials, news. Please star.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

FinRL_Crypto: Cryptocurrency trading of FinRL

Code base for the meta-labeling papers published with the Journal of Financial Data Science

Resources

Job Infor in the intersection of AI, Big data, and Finance.

Cloud-native Financial Reinforcement Learning

Plot figures for academic papers.

Hudson and Thames: A Machine Learning based Pairs Trading Investment Strategy

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. IEEE BigData 2019.