A statistical analysis of the trading agent competition 2001

Authors:
Pier Luca Lanzi;Alessandro Strada
Affiliations:
Politecnico di Milano, Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory;Politecnico di Milano, Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory
Venue:
ACM SIGecom Exchanges
Year:
2002

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Abstract

We present a statistical analysis on the data from the Second Trading Agent Competition (TAC01). Our goal is to study the effectiveness of this competition as a testbed for the evaluation of trading strategies in artificial markets. Our results suggest that in TAC01 no agent performed significantly better than all the others, from a pure statistical viewpoint. Instead, it reveals groups of agents which performed significantly better than others. Thus, our results suggest that although this competition may not give a quantitative evaluation of the agents' trading strategies, it can still provide some useful qualitative evaluation.