Artificial economic life: a simple model of a stockmarket
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Software—Practice & Experience
Neural, Novel and Hybrid Algorithms for Time Series Prediction
Neural, Novel and Hybrid Algorithms for Time Series Prediction
An Adaptive Agent Based Economic Model
Learning Classifier Systems, From Foundations to Applications
Strength and Money: An LCS Approach to Increasing Returns
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Improving Technical Analysis Predictions: An Application of Genetic Programming
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
Modeling Speculators with Genetic Programming
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders
Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders
Stock prediction based on financial correlation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Genetic Algorithm as a Tool for Stock Market Modelling
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
An XCS approach to forecasting financial time series
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
An inter-market arbitrage trading system based on extended classifier systems
Expert Systems with Applications: An International Journal
Effect of moving averages in the tickwise tradings in the stock market
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
On the investigation of hyper-heuristics on a financial forecasting problem
Annals of Mathematics and Artificial Intelligence
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In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment containing real stock market information. We have analysed the feasibility of the proposed approach by comparing the final wealth generated by such agents over a period of time, against the wealth of a number of well known investment strategies, including the bank, buy-and-hold and trend-following strategies. In this paper we review classical economic theories and introduce a new strategy inspired by the Efficient Market Hypothesis (named here random walk to compare the performance of our traders. In order to build better trader models we must increase our understanding about how artificial agents learn and develop; in this paper we address a number of design issues, including the analysis of information sets and evolved strategies. Specifically, the results presented here correspond to the stock of IBM.