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 ...

Build and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for running backtests using live pricing data on publicly traded companies ...

At least 10 senators reported stock purchases or sales last year involving companies in industries overseen by the committees they serve on. These transactions worry government watchdog groups, as a ...

Amazon 's cloud leadership — and likely the next move in the stock — hinges on whether growth on that side of the business continues to reaccelerate. Custom AI chips are key to that effort. Investors ...