Machine Learning models for votes aggregation in crowdsourced market forecasting

Abstract

In the project, we try to solve the votes aggregation problem for the forecasted crowdsourcing market platform. We aggregate initial data in a specific way on the auction level and use machine learning models to derive the asset price from the votes.