#Financial-machine-learning
Showing 11 of 11 repositories tagged #financial-machine-learning, ranked by stars
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Quant/Algorithm trading resources with an emphasis on Machine Learning
algorithmic trading using machine learning
An open-source, lightweight, and blazing-fast financial machine learning library built with Numba. Process raw trades, generate advanced bars, features, and labels for quantitative research.
🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.
Python library for building financial machine learning models.
It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.
A community-curated vault of openly available resources that replicates the rigorous syllabus of top MFE / Quant Finance programs
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
Financial Machine Learning Repository