Irene Aldridge will speak on the panel titled “Fintech and the Future of Finance” on Thursday, March 4, 2021, along with Anand Autar of ING and Caroline Tarnok of Coinbase. The panel will be moderated by John Bowden of ING. Here is the link to the event: https://netforum.avectra.com/eweb/DynamicPage.aspx?Site=CMCAS&WebCode=210225FintechPanelRead More →

By Irene Aldridge Once you add Neural Networks to your existing analytical toolset, you can benefit from detecting patterns in data that cannot be captured otherwise. This article shows, with IBM as an example, how using Neural Networks unlocks statistical insight, you could not have achieved without it. Technical analysis is a discipline that has managed to survive it all over more than 100 years. Starting from the 1920s, and possibly even earlier, technical analysts persevered at distilling meaning from patterns in the data. Numerous generations of quants declared technical analysis to be dead, only to resurrect it in various Auto-Regressive Moving Average (ARMA) specifications. Read More →

Our book, Big Data Science in Finance (http://bigdatafinancebook.com) is here next week! In addition to quant applications, latest research and ready-to-use code, you can now get a shirt, too! http://www.bdfbook.com/#merchandiseRead More →