Hugh Donnelly – Medium

Hugh Donnelly

Published in
DataDrivenInvestor

Machine Learning used for Asset Allocation: Multi-task Lasso

To outperform benchmarks, we use machine learning to make future returns predictions for equity and fixed income ETFs.

Oct 7, 2021

Machine Learning used for Asset Allocation: Multi-task Lasso

Oct 7, 2021

Published in
Analytics Vidhya

Machine Learning used to build a Diversified Portfolio: K-Means Clustering

We use K-Means Clustering to build a diversified portfolio of stocks in the S&P 500 that have similar characteristics.

Sep 30, 2021

Machine Learning used to build a Diversified Portfolio: K-Means Clustering

Sep 30, 2021

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Published in
Analytics Vidhya

Machine Learning to Predict Earnings for Stocks: Neural Networks

We use Neural Networks to predict the direction of the next quarter’s earnings for stocks based on the current quarter’s fundamental data.

Sep 23, 2021

Machine Learning to Predict Earnings for Stocks: Neural Networks

Sep 23, 2021

Published in
Analytics Vidhya

Machine Learning to Predict Earnings for Stocks: Support-vector Machines

In this article, we use support-vector machines (SVM) to predict earnings for stocks.

Sep 16, 2021

Machine Learning to Predict Earnings for Stocks: Support-vector Machines

Sep 16, 2021

Published in
Analytics Vidhya

Machine Learning to Predict Bond Classification: Decision Trees and Random Forests

Decision Trees are a form of supervised Machine Learning that seek to build a simple set of decision rules to make predictions.

Sep 9, 2021

Machine Learning to Predict Bond Classification: Decision Trees and Random Forests

Sep 9, 2021

Published in
Analytics Vidhya

Machine Learning to Predict Credit Ratings using k-NN

We apply k-nearest neighbors (k-NN) to financial data of high yield and investment grade bonds so that we can predict the credit rating.

Aug 24, 2021

Machine Learning to Predict Credit Ratings using k-NN

Aug 24, 2021

Published in
Analytics Vidhya

Machine Learning for Stock Trading: Natural Language Processing

Using Machine Learning tools in the pair trading investment process, we show how to create sensible pairs without using any price data.

Jul 20, 2021

Machine Learning for Stock Trading: Natural Language Processing

Jul 20, 2021

Published in
Analytics Vidhya

Machine Learning for ESG Stock Trading: PCA and Clustering

We show how popular algorithms from Machine Learning can help us navigate a very high-dimensional search space to find tradable pairs.

Jun 30, 2021

Machine Learning for ESG Stock Trading: PCA and Clustering

Jun 30, 2021

Published in
Analytics Vidhya

Machine Learning for Stock Trading: Unsupervised Learning Techniques

Employs several unsupervised learning techniques in scikit-learn to extract the stock market structure.

Jun 9, 2021

Machine Learning for Stock Trading: Unsupervised Learning Techniques

Jun 9, 2021

Published in
Geek Culture

Introduction to Machine Learning: Regression

Introduction

May 22, 2021

Introduction to Machine Learning: Regression

May 22, 2021

Hugh Donnelly

Hugh Donnelly

Hugh founded AlphaWave Data in 2020 and is responsible for risk, attribution, portfolio construction, and investment solutions.

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Machine Learning for Investing

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