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Recent Posts
- Python module for UK polling analysis
- Up-to-date UK political polling data
- UK Newspaper Headlines
- Who plumped for Trump?
- Relative Age Effect – UK Athletics
- Relative Age Effect – European Football
- Making Pandas perform
- Sentiment analysis of Guardian articles
- Quick parallelism in Python
- Python versus R
Archives
Monthly Archives: January 2016
Rolling your own
In the previous post I discussed my attempts at replicating a trend following algorithm. This post takes a short step back to discuss a prerequisite of running a futures trading strategy, joining the individual series together to create a continuous … Continue reading
Posted in Finance, R
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Still trending
In a previous post I described my attempts to replicate the trend-following algorithm from the book Following the Trend by Andreas Clenow. This post gives an update on my somewhat chequered progress since then. Introduction As a quick re-cap, trend-following is … Continue reading
Posted in Finance, R
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A look at MOOCs
I’ve followed a few online courses, or MOOCs, recently and I thought I’d give a quick summary of my experiences. Overview For the uninitiated, MOOCs are Massive Open Online Courses. As the name suggests they are courses made available openly over … Continue reading
Posted in Data science, Finance, Machine learning, Python
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Jet d’Eau or no
This is a quick demonstration of how the Visual Recognition service on the IBM Watson developer cloud can be used to identify Geneva’s most famous landmark, the Jet d’Eau. Introduction Today I attended a Swiss Financial Technology meet-up, part of the … Continue reading
Posted in Machine learning
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