
arXiv: 1911.06893
We discuss the objectives of automation equipped with non-trivial decision making, or creating artificial intelligence, in the financial markets and provide a possible alternative. Intelligence might be an unintended consequence of curiosity left to roam free, best exemplified by a frolicking infant. For this unintentional yet welcome aftereffect to set in a foundational list of guiding principles needs to be present. A consideration of these requirements allows us to propose a test of intelligence for trading programs, on the lines of the Turing Test, long the benchmark for intelligent machines. We discuss the application of this methodology to the dilemma in finance, which is whether, when and how much to Buy, Sell or Hold.
arXiv admin note: substantial text overlap with arXiv:1907.04659, arXiv:1703.08812
FOS: Computer and information sciences, Computer Science - Artificial Intelligence, FOS: Economics and business, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Portfolio Management (q-fin.PM), Computer Science - Computer Science and Game Theory, Computers and Society (cs.CY), Quantitative Finance - General Finance, General Finance (q-fin.GN), Quantitative Finance - Portfolio Management, Computer Science and Game Theory (cs.GT)
FOS: Computer and information sciences, Computer Science - Artificial Intelligence, FOS: Economics and business, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Portfolio Management (q-fin.PM), Computer Science - Computer Science and Game Theory, Computers and Society (cs.CY), Quantitative Finance - General Finance, General Finance (q-fin.GN), Quantitative Finance - Portfolio Management, Computer Science and Game Theory (cs.GT)
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