As a young and potentially not fully efficient market, crypto-currencies are a fertile land for exploring trading algorithms. To test these, we start by building a framework that can generate and simulate trading strategies. The framework is build with a focus on automation and scalability.

Inconsistent data recording is a problem that you are guaranteed to come across as a data scientist. Here, we look at an example of writing object-oriented code for repeatable and interpretable data processing.

Investment diversification can be less effective that it seems in a strongly correlated market. By visualising correlations in the crypto-currency market, we evaluate how viable a strategy diversification is for cryptos.

In this Advent of Code challenges, we take an object-orientated approach to programming a very simple CPU.

In this Advent of Code challenges, we introduce some simple string parsing and checking with sets, and prepare some ready-made function that we may be able to re-use in later challenges.

Association rules mining, aka Market Basket Analysis, helps us detect patterns in shopping behaviours, website browsing, and even medicine interaction. To explore this technique, let’s set up our own coffeeshop and see whether coffee and cake is in fact the perfect match.