This paper proposes a novel automated agent strategy for stock market trading, developed in the context of the Penn-Lehman automated trading (PLAT) simulation platform by Kearns, M., and Ortiz, L., (2003). We provide a comprehensive experimental validation of our strategy using historic order book data from the NASDAQ market.
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IEEE
IEEE Congress on Computational Intelligence Methods and Applications
Intelligent and autonomous systems

Silaghi, G., & Robu, V. (2005). An agent strategy for automated stock market trading combining price and order book information. In Proceedings of IEEE Congress on Computational Intelligence Methods and Applications 2005 (pp. 1–4). IEEE.