ML Alpha Introduction

The platform operates through multiple integrated features. At its core, ML Alpha uses machine learning algorithms to analyze vast amounts of financial data, including fundamental, technical, and contextual parameters, to generate ML Alpha Scores for each company. These scores are updated bi-weekly and presented through radar charts to help investors compare and evaluate stocks. Additionally, the platform maintains a marketplace where successful investors can share their portfolios and insights, allowing others to follow their strategies. Users can access a screener tool to explore over 5,000 US publicly traded companies with 25+ years of historical data, and utilize the Data Science Studio to build and test their own machine learning models. The platform also provides ML-ready datasets for users to train and test their own predictive models.