The most important thing that a neural network needs to work efficiently is information. We’re talking about hundreds of thousands or even millions of images, pages, cases, graphs, examples, and so on that are needed for proper training and accurate predictions. As artificial intelligence, and ai stock prediction software are fundamentally changing the world, we need to investigate how they’re impacting finance and algorithmic trading, particularly at a time when markets are so vulnerable and volatile. The investment industry is a perfect match for deep learning since it can provide enough data for financial prediction software and can unite AI and FinTech into interrelated fields. Machines can follow the scientific method much more efficiently than humans. They are able to look at the data and find out revealed preferences by tracking what people actually do. And from that, they derive insights. They leverage millions of data points to form these insights, which end up bein...