Article ID Journal Published Year Pages File Type
385596 Expert Systems with Applications 2011 12 Pages PDF
Abstract

Stock price predictions have been a field of study from several points of view including, among others, artificial intelligence and expert systems. For short-term predictions, the technical indicator relative strength indicator (RSI) has been published in many papers and used worldwide.CAST is presented in this paper. CAST can be seen as a set of solutions for calculating the RSI using artificial intelligence techniques. The improvement is based on the use of feedforward neural networks to calculate the RSI in a more accurate way, which we call the iRSI. This new tool will be used in two scenarios. In the first, it will predict a market – in our case, the Spanish IBEX 35 stock market. In the second, it will predict single-company values pertaining to the IBEX 35. The results are very encouraging and reveal that the CAST can predict the given market as a whole along with individual stock pertaining to the IBEX 35 index.

► Technical analysis improved by neural networks is a powerful tool for evaluating stock prices. ► iRSI as a revisited RSI provide encouraging results in stock prediction. ► CAST produces remarkable results in spaniard IBEX 35 index.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, , , , ,