Stock Price Prediction with Social Media Sentiment

In our article we explore social media sentiment and time series of stocks to predict stock prices. We apply cutting-edge machine learning and quantitative techniques to do so. The research work has been done by our Data Scientist Summer Interns Christian Nilsson, Marcus Remgård, and Marco Cuskic. The infrastructure that they have built and research findings, that there is a strong correlation between social sentiment and stock price prediction, willl act as the foundation of a new feature that we are working on Swimbird and will be presented in the not-to-distant future.