Published in FT Product & Technology·PinnedFT Article ClusteringUsing unsupervised machine learning to label FT articles Why article clustering is important FT is one of the largest providers of financial news in the world. We publish hundreds of articles every day. One of the most challenging tasks is consistently categorising these articles. While FT journalists tag the articles manually, it is hard to…Data Science6 min readData Science6 min read
Published in FT Product & Technology·Mar 29, 2021Predicting FT Trending TopicsIdentifying signals using time-series analysis and unsupervised machine learning. Understanding the preferences of Financial Times readers is crucial for improving user experience and maintaining engagement with our products. Having accurate indicators showing which area is increasingly important can augment journalists’ work, by helping them to focus on topics of interest. …Data Science7 min readData Science7 min read
Published in Towards Data Science·Jun 8, 2020Member-onlyImplementing a Trading Algorithm with RThis story explains how to implement the moving average trading algorithm with R. If you’re interested in setting up your automated trading pipeline, you should first read this article. This story is a purely technical guide focusing on programming and statistics, not financial advice. Throughout this story, we will build…Trading6 min readTrading6 min read
Published in Towards Data Science·May 31, 2020Member-onlyAutomated Stock Trading with RThis article explains how to create a trading pipeline using R. The trading pipeline consists of 4 main elements Connecting with Google API and loading current holdings data Connecting with Robinhood API and getting current stock prices Getting historic market data using Yahoo API Decision algorithm and executing an orderTrading4 min readTrading4 min read
Published in Towards Data Science·May 25, 2020Member-onlyWriting Professional Data Science DocumentationDocumentation is an important part of being a data scientist. I propose to use R Markdown and LaTeX to document data science models. There are several desirable properties of good documentation easily accessible readable consistent across projects reproducible Using LaTeX inside R Markdown allows users to use consistent LaTeX formatting…Data Science3 min readData Science3 min read
