Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Appears on
Quick read
Latest capture 2026-09-26 03:06
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
5 observed captures since 2026-06-19. Observed captures are shown by default.
Stars from first capture +1
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Machine Learning in Asset Management (by @firmai)
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Technical Analysis Library using Pandas and Numpy
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
