Potentially useful online resources for quantitative wealth and investment management QWIM

• Machine Learning for Asset managers (available for download until May 6th)

• Machine Learning for factor investing (online version of book scheduled for publication September 2020) with code

• Hands-On Machine Learning with R (online version of book published 2020)

• AutoML: methods, systems, challenges (2020)

• Interpretable Machine Learning (2020)

• Forecasting: Principles and Practice (2020)

• Explanatory Model Analysis (2020)

• Feature Engineering and Selection: A Practical Approach for Predictive Models (online version of book published in 2019)

• Mathematics for Machine Learning (online version of book published in 2020)

• Statistical Rethinking with brms, ggplot2, and the tidyverse (2020)

• Statistical Rethinking: A Bayesian Course with Examples in R and Stan

• Doing Bayesian Data Analysis in brms and the tidyverse (2020)

• R Markdown: The Definitive Guide (2020)

• Text Mining with R: A Tidy Approach (2020)

• R Graphics Cookbook (2020)

• Online Portfolio Selection***Python

• Springer has released 65 Machine Learning and Data books for free***

• Hudson-and-thames--***

• A gallery of interesting Jupyter Notebooks***

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• Clewlow and Strickland Commodity one factor spot model

• Option pricing package, Paolo Zagaglia

• Metaheuristics for Portfolio Optimization" authored by GAV Pai

• Financial GUI, VR

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• Reading List: FINANCE

• Python for Finance (2019) - Yves Hilpisch

• Introductory Econometrics for Finance (3rd Ed) -Chris Brooks

• Options, Futures & other Derivatives (8th Ed) John C Hull

• ALGO Trading

• Hands on Machine Learning for Algorithmic Trading - Stefan Jansen

• Advanced Algorithmic Trading - Michael Halls-Moore

• Investement Management

• Machine Learning for Asset Managers - Marcos Lopez de Prado

• Big Data and Machine Learning in Quantitative Investment - Tony Guida

• Hedge Funds

• More Money than God - Sebastian Mallaby

• The Man who Solved the Market - Gregory Zuckerman