Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

Abstract: Prediction of stock market returns is difficult because pricing changes often. The market is unpredictable and does not follow a clear pattern. This study builds a machine learning model to ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

We are making a handful of trades on Wednesday. We're buying 30 shares of Capital One Financial at roughly $208 each, increasing the weighting in Jim Cramer's Charitable Trust to 3.05% from 2.9% and ...

Still, the sentiment found some support after Rocket Lab detailed its Cassowary Vex mission—targeting liftoff no earlier than late February—which will use the company's HASTE rocket to deploy a ...

Abstract: This paper focuses on automating the analysis of financial news for stocks and cryptocurrencies, thereby providing traders and analysts with actionable insights. In today's fast-paced ...