There are 30 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 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.
🪁 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.
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.
Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.
Implementations of Genetic Methods for Financial Machine Learning Applications
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.
실전 금융 머신러닝 완벽 분석 / Advances in Financial Machine Learning
Financial Machine Learning Repository
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.
Machine Learning for Asset Managers (Lopez de Prado, 2019)
Bachelor's thesis for degree in Economics at HSE University, Saint-Petersburg (2022)
Genetic Programming and Neural Networks for Financial Predictive Modeling.
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
AI for Wealth Management - democratizing wealth management for everyone.
Quantifi Sogang
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.
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.
Machine Learning based Relation Extraction for Dataset published in paper "FinRED: A Dataset for Relation Extraction in Financial Domain"
Financial Modelling & Projection and Stock Prices Projection
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