Research|
Alternative Data for ML-based Asset Performance
Forecasting Alternative data is structured or unstructured data that is not typically used by traditional investment companies and that can provide insights into the future performance of a financial asset. This study examined the possibility of including alternative data sources into Axyon IRIS ML-based predictive models, by comparing the performance before and after the addition of data series extracted from Google Trends.