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---
title: "Awesome Quant"
format: html
keep-md: true
date-modified: "`r Sys.Date()`"
keywords: ["r packages", "python packages", "julia packages",
"software development", "software engineering", "financial computing",
"r", "python", "julia"]
---
# Awesome Quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance).
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- [machine-learning-asset-management](https://github.com/firmai/machine-learning-asset-management) - Machine Learning in Asset Management (by @firmai).
- [Deep-Learning-Machine-Learning-Stock](https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock) - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
- [Technical_Analysis_and_Feature_Engineering](https://github.com/jo-cho/Technical_Analysis_and_Feature_Engineering) - Feature Engineering and Feature Importance of Machine Learning in Financial Market.
# Code of Conduct
Please note that the `awesome-quant` project is released with a
[Contributor Code of Conduct](https://github.com/wilsonfreitas/awesome-quant/blob/main/CODE_OF_CONDUCT.md).
By contributing to this project, you agree to abide by its terms.