Cognitive Trading System Model

Abstract

A model captures a community consensus on a coherent field of knowledge, serving as a cumulative benchmark that can guide both research and application design, while also focusing efforts to extend or review it. Here we propose to develop this model for cognitive trading systems, computational entities whose structures and processes are substantially similar to those in human cognition. We hypothesize that cognitive architectures provide an adequate computational abstraction to define a model applicable to the design of trading systems in their entirety, although the model is not in itself such an architecture. The resulting cognitive trading system model encompasses critical aspects of structure and processing, memory and content, learning, perception, and action; highlighting the main architectural aspects while identifying the potential areas of incompleteness which remain undeveloped. We hope to provide to the general community what it is and what we expect of a modern and future trading system, which is currently challenging to find synthesized in one place.

Keywords: Trading Systems, Trading Strategies, Quantitative Trading, Financial Markets, Cognitive Architectures, Standard Model, Artificial Intelligence, Cognitive Science, Robotics

JEL Classification: C60, C61, C63, C67, G11, G12, G15, G23, O16