From 5e9fa6fddd9ff25c91c37f2fca6ea56b9d9a910e Mon Sep 17 00:00:00 2001 From: wilsonfreitas Date: Sun, 27 Mar 2022 05:47:53 -0300 Subject: [PATCH] Added Machine-Learning-for-Asset-Managers --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 888553d..ac15b8f 100644 --- a/README.md +++ b/README.md @@ -431,4 +431,5 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [QuantFinance](https://github.com/PythonCharmers/QuantFinance) - Training materials in quantitative finance. - [MarketAnalysis](https://github.com/Poseyy/MarketAnalysis) - Implementing many different methods and popular analysis tools in Python. - [IPythonScripts](https://github.com/mgroncki/IPythonScripts) - Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning. -- [Computational-Finance-Course](https://github.com/LechGrzelak/Computational-Finance-Course) - Materials for the course of Computational Finance. \ No newline at end of file +- [Computational-Finance-Course](https://github.com/LechGrzelak/Computational-Finance-Course) - Materials for the course of Computational Finance. +- [Machine-Learning-for-Asset-Managers](https://github.com/emoen/Machine-Learning-for-Asset-Managers) - Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado. \ No newline at end of file