IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
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Selection of stocks that are suitable for investment is a complex task. The main aim of every investor is to earn maximum possible returns on investments. There are many conventional techniques being used and these include technical and fundamental analysis. The main issue with any approach is the proper weighting of criteria to obtain a list of stocks that are suitable for investments. This paper proposes an improved method for stock picking using self-organizing maps and technical analysis. The stock selected using this method outperformed the BSE-30 Index by about 28.41% based on one month of stock data.