An R-package of teaching financial machine learning
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Updated
May 14, 2024 - CSS
An R-package of teaching financial machine learning
Financial Machine Learning Repository
This project implements a financial trading strategy in Julia which nowcast local highs and lows to create trading signals, comparing stable rule set classifiers and gradient boosted tree models for trading performance.
AI for Wealth Management - democratizing wealth management for everyone.
Financial Modelling & Projection and Stock Prices Projection
🪁 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 collection of awesome papers, articles and various resources on credit and credit risk modeling
Quantifi Sogang
Using ML and DL to predict price of electricity to help in financial trading in decision making
Causal Factor Investing (Marcos Lopez de Prado, 2023) Workbook
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
Slides for the "Detecting Toxic Flow" paper
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
CatBoost trades bonds in PROD
실전 금융 머신러닝 완벽 분석 / Advances in Financial Machine Learning
Machine Learning for Asset Managers (Lopez de Prado, 2019)
Quant/Algorithm trading resources with an emphasis on Machine Learning
algorithmic trading using machine learning
Detecting Credit Card Fraud
This is my GitHib profile page. Feel free to check out the readme file, copy, fork, and use.
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