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A method for automatic stock trading combining technical analysis and nearest neighbor classification

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References

1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*15,723 cited
1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
1995The New Finance: The Case Against Efficient Markets244 cited
2006A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets223 cited
1995The New Finance: The Case Against Efficient Markets.220 cited
2007A Hybrid Neurogenetic Approach for Stock Forecasting175 cited

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