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But before jumping into our first set of machine learning applications in this post, I should probably justify why I think machine learning holds such promise for improving trading-related processes ...
Dow Chemical is in the midst of a digital transformation. They have set up Centers to test out new and emerging technologies. They have had success in developing a solution for trade classification.
Machine learning is a wonderful basket of tools that can be used to sharpen your trading, which can be a significant competitive advantage. Today, we notice several initiatives on different avenues.
The world of trading is an immensely complex place, with investors deploying a range of different strategies to try and maximise their profits. In this digital age, technology has only furthered ...
The advent of the era in terms of machine learning in crypto trading is the new major in data-driven decision making process as algorithms are searching for accuracy along with risk management.
Chris Sparrow, head of research, and Melinda Bui, director of trading analytics, at LiquidMetrix explain how applying domain knowledge to its database of client orders can create features that help ...
Machine learning based trading systems have the ability to completely reimagine conventional trading platforms as we know them. They can effectively crunch millions upon millions of data points in an ...
New-age technologies such as artificial intelligence (AI) and machine learning (ML) are proving to be game changers for several industries. Many businesses have adopted them and moulded them ...
A new academic paper, Machine Learning for Trading, is the first conclusive study that shows success from having a machine learning-based trading strategy. The author, Gordon Ritter, Adjunct ...
Can machine learning be applied to the problem of trading? "I reasoned that in a system that I know admits a profitable trading strategy, because I constructed it that way, can the machine find it.
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