Case Study: a leading trading company improves market sentiment analysis and trading accuracy with TurinTech evoML

Using market sentiment analysis to generate more accurate and efficient trading decisions

A leading trading company sought to leverage social media data from Twitter and Reddit to improve its stock market predictions through sentiment analysis. However, their efforts were stalled by noisy data, high data volumes, a lack of labeled data, and an internal shortage of NLP expertise. They engaged TurinTech and its evoML platform to overcome these challenges and develop a sustainable solution.

Using TurinTech's evoML platform, the company built and deployed a model that combined stock market data with social media text and metadata. The solution was delivered in just one week and resulted in a model with over 75% accuracy, a significant increase from their previous 62%. Furthermore, the new model performed 5x faster, which substantially increased trading profitability for the company.