dongheechoi/ai-portfolio-selection
Artificial Intelligence (AI) based Portfolio Selection Papers
This resource provides a curated collection of academic papers focused on using artificial intelligence to manage investment portfolios. It helps financial professionals explore advanced strategies for selecting and rebalancing assets, offering insights from cutting-edge research. Investment managers, quantitative analysts, and financial engineers can use this to inform their strategies.
Use this if you are a quantitative analyst, investment manager, or researcher looking to explore the latest AI-driven approaches for optimizing investment portfolios and making trading decisions.
Not ideal if you are looking for ready-to-use software, coding libraries, or immediate trading signals, as this is a compilation of research papers.
Stars
26
Forks
4
Language
—
License
—
Category
Last pushed
Nov 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dongheechoi/ai-portfolio-selection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
skfolio/skfolio
Python library for portfolio optimization built on top of scikit-learn
emoen/Machine-Learning-for-Asset-Managers
Implementation of code snippets, exercises and application to live data from Machine Learning...
WLM1ke/poptimizer
Оптимизация долгосрочного портфеля акций
jankrepl/deepdow
Portfolio optimization with deep learning.
baobach/mlfinpy
Mlfin.py is an advance Machine Learning toolbox for financial applications in Python.