There are 28 repositories under financial-machine-learning topic.
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
A collection of awesome papers, articles and various resources on credit and credit risk modeling
🪁 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.
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Python library for building financial machine learning models.
A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.
Implementations of Genetic Methods for Financial Machine Learning Applications
Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.
A tool to detect whether numerals present in Financial Texts are in-claim or out-of-claim
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.
Comprehensive analysis of various ML models to detect fraud in financial transactions.
실전 금융 머신러닝 완벽 분석 / Advances in Financial Machine Learning
Financial Machine Learning Repository
Machine Learning for Asset Managers (Lopez de Prado, 2019)
Bachelor's thesis for degree in Economics at HSE University, Saint-Petersburg (2022)
Pytorch implementation of TABL from Temporal Attention Augmented Bilinear Network for Financial Time Series Data Analysis
Shortcut Learning in Financial Text Mining @ IEEE BigData 2022
Advanced Financial Machine Learning Toolbox
Quantifi Sogang
Setting up monitor windows to track the stock price movement directions and make prediction on future price movement in a short time.
Apply a Transformer-based model for financial data prediction.
CatBoost trades bonds in PROD
Slides for the "Detecting Toxic Flow" paper
Income qualification is the process of verifying if a person or a family meets the financial criteria to receive aid or support from social programs.
Using ML and DL to predict price of electricity to help in financial trading in decision making
Detecting Credit Card Fraud
This is my GitHib profile page. Feel free to check out the readme file, copy, fork, and use.
Causal Factor Investing (Marcos Lopez de Prado, 2023) Workbook