Date of Award

12-2019

Degree Type

Creative Project

Degree Name

Master of Science (MS)

Department

Economics and Finance

First Advisor

Tyler Brough

Second Advisor

Vicki Allan

Abstract

This research applies a deep reinforcement learning technique, Deep Q-network, to a stock market pairs trading strategy for profit. Artificial intelligent methods have long since been applied to optimize trading strategies. This work trains and tests a DQN to trade co-integrated stock market prices, in a pairs trading strategy. The results demonstrate the DQN is able to consistently produce positive returns when executing a pairs trading strategy.

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