A small number of stock market traders are now using neural networks to pinpoint profitable markets. This guide shows investors how to apply neural networks, the brains of artificial intelligence, to the automation of trading systems for maximum profit. Readers will discover how to master the organizing principles of a typical neural network, choose which market moves are to be predicted, and select proper inputs. The volume features an appendix of neural network suppliers.
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A small number of stock market traders are now using neural networks to pinpoint profitable markets. This guide shows investors how to apply neural networks, the brains of artificial intelligence, to the automation of trading systems for maximum profit. Readers will discover how to master the organizing principles of a typical neural network, choose which market moves are to be predicted, and select proper inputs. The volume features an appendix of neural network suppliers.
EDWARD GATELY, an authority on computerized trading, designs and tests trading systems, and develops neural networks for financial professionals and traders. He is a frequent lecturer for CompuTrac on the topic of neural nets. He lives in Mahwah, New Jersey. About the Series Editor: PERRY J. KAUFMAN has been designing and developing trading strategies and hedge and arbitrage programs in derivatives markets since 1970. He is the author of six books, including The New Commodity Trading Systems and Methods and Smarter Trading. Mr. Kaufman is a principal at Kaufman Diamond & Yeong, an international consulting firm with offices in Vermont, Chicago, and Singapore.
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