This article was written by the I Know First Research Team.
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Tomer Solel is a Financial Analyst at I Know First. He graduated from Cal Poly Pomona with a bachelor's degree in applied mathematics. 
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This article was written by Maria Grishaev, Analyst at I Know First.
In the last decade, the usage of machine learning and artificial intelligence based trading algorithms grew with the rapid development of computational powers. It makes everyone to wonder - do we take the maximum advantage technology gives us or not. In this article I’m going to discuss the current trend of usage and what are the challenges we are going to need to overcome in order to utilize all the benefits of this advanced technology.
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Recently, several articles expressed opinion that artificial intelligence and machine learning will never beat the stock market. According to a report published by Allied Market Research, the global neural network market was valued at $7.03 billion in 2016, and is estimated to reach at $38.71 billion by 2023. The rapid development of computational powers and the fast pace of changes in the stock market forces investors to wonder whether they should trust machines to predict the stock market or continue to use old-fashioned methods.
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Dr. Lipa Roitman, Co-Founder & CTO at I Know First..
Michael Shpits, Financial Analyst at I Know First.
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This algorithmic trading software article was written by Erica McGillicuddy, Analyst at I Know First.
The article was written by Dmitry Podretskiy, a Financial Analyst at I Know First.
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This algorithmic trading software article was written by Erica McGillicuddy, Analyst at I Know First.
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