A number of neural network techniques, namely multi-layer perceptron, k-means algorithm and the self-organizing map are applied to the detection of technical trading patterns within stock markets. We do not find exploitable information content and it is concluded that there are no significant...

In this paper genetic programming is used to investigate a number of long time series of price data for a stock exchange quoted share, in order to discern whether there are any patterns in the data which could be used for technical trading purposes. This extends the work done by the authors in a...

The main purpose of this paper is to suggest a general scheme for the examination of claims to scientific authority. The formulation of a scheme within which rational discourse can take place, and comparisons between competing paradigms can be made, is argued to have particular urgency for the...