Hands-On Machine Learning for Algorithmic Trading

Twitter data

We use a dataset that contains 1.6 million training and 350 test tweets from 2009 with algorithmically assigned binary positive and negative sentiment scores that are fairly evenly split (see the relevant notebook for more detailed data exploration).