THE MARCH OF THE FINANCIAL ALGORITHMS

13 October 2019 — theplanningmotivedotcom

MACHINES LEARN, BUT FIRST THEY HAVE TO BE TAUGHT TO LEARN

The world and our brains are analogue, computers are binary. Analogue is infinitely more complex than binary, which cannot be emulated by binary systems including the qubits found in so called quantum computers. Binary systems, because they do not spontaneously form imprints of the external world, need programming. This programming can only be undertaken in the first instance by humans with all their fallibilities.

The purpose of this article is to begin examining the role played by computer algorithms in assisting and even replacing financial and investment decision making. It was inspired by the lead article in the Economist Magazine (5th – 11th October 2019) titled Masters of the Universe. It poses the question, as to whether these algorithms are leading or misleading investors, and, whether they will be blamed for either delaying or precipitating the inevitable crash of financial markets.

limitations-of-financial-algorithms-pdf.pdf

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