Category ROBO P25 Intelligent Stock Investing

Abstract The purpose of this study is to use machine learning to write and test a

strategy that will be implemented in a program that can intelligently

invest in the stock market using five different stock picking strategies.

The final goal is a strategy that will profit even during changes in the

stock market, by using different methods for picking stocks. This study

uses stock data from 1950 up to and including 2016, as well as

Corporate bond data, and formulas for value, growth, income, GARP,

and Dogs of the Dow stock picking strategies. Profit will be calculated

by percentage of original money. This study will provide information

regarding the field of machine learning in computer science, as well as

providing information regarding investment strategies for the stock


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