How to cite this paper
Raei, R., Mohammadi, S & Tajik, M. (2011). An Intelligent technical analysis using neural network.Management Science Letters , 1(3), 355-362.
Refrences
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Al-Daoud, E. (2009). A comparison between three neural network models for classification problems. Journal of Artificial Intelligence , 2 (2), 56-64.
Allen, F., & Karjalainen, R. (1999). Using genetic algorithms to find technical trading rules. Journal of Financial Economics , 51(2),245-271.
Arms, R. W. (1996). Trading without fear: eliminating emotional decisions with arms trading strategies. Toronto, Canada: John Wiley & Sons, Inc.
Bauer, M. M. (1995). General Regression Neural Network for Technical Use. Master`s Thesis: University of Wisconsin-madison.
Blume, E. D., & O`Hara, M. (1994). Market statistics and technical analysis: the role of volume. Journal of Finance , 49(1), 153-181.
Chavarnakul, T., & Enke, D. (2008). Intelligent technical analysis based equivolume charting for stock trading using neural networks. Elsevier Ltd , 1004-1017.
Heimes, F., & Van Heuveln, B. (1998). The normalized radial basis function neural network. In Proceedings of the 1998 IEEE international conference on systems, man, and cybemetics, (pp. 1609-1614). Sandiego, CA, USA.
Kaastra, I., & Boyd, M. (1996). Designing a neural network for forecasting financial and economic time series. Neurocomputing , 215-236.
Lee, C. M., & Swaminathan, B. (2000). Price momentum and trading volume. Journal of Finance , 55(5), 2017-2069.
Leitch, G., & Tanner, J. E., (1991). Economic orecast valuation: profits versus the onventional rror measures. Model-Evaluation-and-Testing, 81(3), 580 - 90.Malkiel, B. G. (1995). A random walk down wall street. New York: NY: Norton & Co.
Parzen, E. (1962). On estimation of a probability density function and mode. Annal of Mathematical Statistics , 1065-1076.
Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks, 2(4), 568-576.
Pesaran, M. H. & Timmermann, A., (1995). Predictability of Stock Returns: Robustness and Economic Significance, Journal of Finance, American Finance Association, 50(4), 1201-1228.
Al-Daoud, E. (2009). A comparison between three neural network models for classification problems. Journal of Artificial Intelligence , 2 (2), 56-64.
Allen, F., & Karjalainen, R. (1999). Using genetic algorithms to find technical trading rules. Journal of Financial Economics , 51(2),245-271.
Arms, R. W. (1996). Trading without fear: eliminating emotional decisions with arms trading strategies. Toronto, Canada: John Wiley & Sons, Inc.
Bauer, M. M. (1995). General Regression Neural Network for Technical Use. Master`s Thesis: University of Wisconsin-madison.
Blume, E. D., & O`Hara, M. (1994). Market statistics and technical analysis: the role of volume. Journal of Finance , 49(1), 153-181.
Chavarnakul, T., & Enke, D. (2008). Intelligent technical analysis based equivolume charting for stock trading using neural networks. Elsevier Ltd , 1004-1017.
Heimes, F., & Van Heuveln, B. (1998). The normalized radial basis function neural network. In Proceedings of the 1998 IEEE international conference on systems, man, and cybemetics, (pp. 1609-1614). Sandiego, CA, USA.
Kaastra, I., & Boyd, M. (1996). Designing a neural network for forecasting financial and economic time series. Neurocomputing , 215-236.
Lee, C. M., & Swaminathan, B. (2000). Price momentum and trading volume. Journal of Finance , 55(5), 2017-2069.
Leitch, G., & Tanner, J. E., (1991). Economic orecast valuation: profits versus the onventional rror measures. Model-Evaluation-and-Testing, 81(3), 580 - 90.Malkiel, B. G. (1995). A random walk down wall street. New York: NY: Norton & Co.
Parzen, E. (1962). On estimation of a probability density function and mode. Annal of Mathematical Statistics , 1065-1076.
Specht, D. F. (1991). A general regression neural network. IEEE Transactions on Neural Networks, 2(4), 568-576.
Pesaran, M. H. & Timmermann, A., (1995). Predictability of Stock Returns: Robustness and Economic Significance, Journal of Finance, American Finance Association, 50(4), 1201-1228.