摘要: Working with five minutes data, we have studied a number of trading rules based on the responses Kohonen's Self Organizing Maps, evaluating results both financial and statistical indicators, as well by comparison classical buy hold strategy. At current stage our major findings may be summarized fol- lows: a) maps are helpful to localize profitable intraday patterns, b) they generally make possible achieve higher performances than common
uni-bielefeld.de参考文章(14)
Shu-Heng Chen, Hung-Shuo Wang, Byoung-Tak Zhang, Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index. international conference on artificial intelligence. pp. 437- 443 ,(1999)
Marcello Cattaneo Adorno, Marina Resta, Reliability and Convergence on Kohonen Maps: An Empirical Study international conference on knowledge-based and intelligent information and engineering systems. pp. 426- 433 ,(2004) , 10.1007/978-3-540-30132-5_61
Teuvo Kohonen, Self-Organizing Maps ,(1995)
A. N. Refenes, M. Azema-Barac, L. Chen, S. A. Karoussos, Currency exchange rate prediction and neural network design strategies Neural Computing and Applications. ,vol. 1, pp. 46- 58 ,(1993) , 10.1007/BF01411374
Fernando Fernández-Rodrı́guez, Simón Sosvilla-Rivero, Julián Andrada-Félix, Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS International Journal of Forecasting. ,vol. 15, pp. 383- 392 ,(1999) , 10.1016/S0169-2070(99)00003-5
Fernando Fernández-Rodrı́guez, Simón Sosvilla-Rivero, Marı́a Dolores Garcı́a-Artiles, None, Dancing with bulls and bears: Nearest-neighbour forecasts for the Nikkei index Japan and the World Economy. ,vol. 11, pp. 395- 413 ,(1999) , 10.1016/S0922-1425(98)00047-4
Jasmina Arifovic, Ramazan Gençay, Using genetic algorithms to select architecture of a feedforward artificial neural network Physica A-statistical Mechanics and Its Applications. ,vol. 289, pp. 574- 594 ,(2001) , 10.1016/S0378-4371(00)00479-9
Eric de Bodt, Marie Cottrell, Michel Verleysen, Statistical tools to assess the reliability of self-organizing maps workshop on self organizing maps. ,vol. 15, pp. 967- 978 ,(2002) , 10.1016/S0893-6080(02)00071-0
M.A.H. Dempster, T.W. Payne, Y. Romahi, G.W.P. Thompson, Computational learning techniques for intraday FX trading using popular technical indicators IEEE Transactions on Neural Networks. ,vol. 12, pp. 744- 754 ,(2001) , 10.1109/72.935088
A.-P. N. Refenes, A.N. Burgess, Y. Bentz, Neural networks in financial engineering: a study in methodology IEEE Transactions on Neural Networks. ,vol. 8, pp. 1222- 1267 ,(1997) , 10.1109/72.641449