Seize the (intra)day: Features selection and rules extraction for tradings on high-frequency data

M.O. Afolabi, O. Olude, Predicting stock prices, using a hybrid Kohonen self organizing map (SOM), in: Proceedings of the 40th Hawaii International Conference on System Sciences, Honolulu, USA, 2007. U. Aickelin, S. Cayzer, The danger theory and its application to artificial immune systems, in: Proceedings of ICARIS 2002, Canterbury, UK, 2002, pp. 141–148. Allen, 1999, Using genetic algorithms to find technical trading rules, Journal of Financial Economics, 51, 245, 10.1016/S0304-405X(98)00052-X J. Andrada-Félix, F. Fernández-Rodríguez, M.D. García Artiles, S. Sosvilla-Rivero, Non-linear trading rules in the New York stock exchange, Working Paper, University of Las Palmas, 2005. Arifovic, 2001, Using genetic algorithms to select architecture of a feedforward artificial neural network, Physica A, 289, 574, 10.1016/S0378-4371(00)00479-9 Banzhaf, 1998 Bauer, 1994 Brabazon, 2005, Grammar-mediated time-series prediction, Journal of Intelligent Systems, 14, 123, 10.1515/JISYS.2005.14.2-3.123 A. Brabazon, M. O’Neill, Trading foreign exchange markets using evolutionary automatic programming, in: M. O’Neill, C. Ryan (Eds.), Proceedings of GEWS 2002, AAAI, New York, 2002. Carpenter, 1991, ARTMAP: supervised real-time learning and classification of nonstationary data by a self-organizing neural network, Neural Networks, 4, 565, 10.1016/0893-6080(91)90012-T Cattaneo Adorno, 2004, Reliability and convergence on Kohonen maps: an empirical study, 426, 10.1007/978-3-540-30132-5_61 S.H. Chen, H.S. Wang, B.T. Zhang, Forecasting high-frequency financial time series with evolutionary neural trees: the case of Hang-Seng stock index strategies, in: Proceedings of IC-AI’99, 1999, pp. 437–443. Cheng, 1997, Convergence and ordering of Kohonen's batch map, Neural Computation, 9, 1667, 10.1162/neco.1997.9.8.1667 Cottrell, 2004, SOM-based algorithms for qualitative variables, Neural Networks, 17, 1149, 10.1016/j.neunet.2004.07.010 S. Dablemont, M. Verleysen, Classification et prediction fonctionnelles d’actifs boursiers en intraday, in: Proceedings of ACSEG, 2004, pp. 30–38. De Bodt, 2002, Statistical tools to assess the reliability of self-organizing maps, Neural Networks, 15, 967, 10.1016/S0893-6080(02)00071-0 De Bodt, 2004, Some known facts about financial data, European Journal of Economic and Social Systems, 17, 167 G.J. Deboeck, Modeling non-linear market dynamics for intra-day trading, Working Paper. Available on-line at: 〈http://www.dokus.com/PapersontheWeb/intradaymodel.htm〉, 1999. Dempster, 2001, A real-time adaptive trading system using genetic programming, Quantitative Finance, 1, 397, 10.1088/1469-7688/1/4/301 Dempster, 2001, Computational learning techniques for intraday FX trading using popular technical indicators, IEEE Transactions on Neural Networks, 12, 744, 10.1109/72.935088 Fernández-Rodríguez, 1999, Dancing with bulls and bears: nearest-neighbour forecasts for the Nikkei index, Japan and the World Economy, 11, 395, 10.1016/S0922-1425(98)00047-4 Fernández-Rodríguez, 1999, Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS, International Journal of Forecasting, 15, 383, 10.1016/S0169-2070(99)00003-5 Fernández-Rodríguez, 2000, On the profitability of technical trading rules based on artificial neural networks: evidence from the Madrid stock market, Economic Letters, 69, 89, 10.1016/S0165-1765(00)00270-6 Francois, 2007, The concentration of fractional distances, IEEE Transactions on Knowledge and Data Engineering, 19, 873, 10.1109/TKDE.2007.1037 Grossberg, 1976, Adaptive pattern classification and universal recoding, I: parallel development and coding of neural feature detectors, Biological Cybernetics, 23, 121, 10.1007/BF00344744 Grossberg, 1976, Adaptive pattern classification and universal recoding, II: feedback, expectation, olfaction, and illusions, Biological Cybernetics, 23, 187, 10.1007/BF00340335 Kaski, 1998, Bibliography of self-organizing map (SOM) papers: 1981–1997, Neural Computing Surveys, 1, 102 M.Y. Kiang, U.R. Kulkarni, M. Goul, A. Philippakis, R.T. Chi, E. Turban, Improving the effectiveness of self-organizing map networks using a circular Kohonen layer, in: Proceedings of 13th Annual Hawaii International Conference on System Sciences, 1997. Kohonen, 1982 Lendasse, 2002, Forecasting electricity consumption using nonlinear projection and self-organizing maps, Neurocomputing, 48, 299, 10.1016/S0925-2312(01)00646-4 Liou, 1999, Conformal self-organization for continuity on a feature map, Neural Networks, 12, 893, 10.1016/S0893-6080(99)00034-9 Liu, 2001, Evolving neural networks for Hang Seng stock index forecast, 256 Oja, 2003, Bibliography of self-organizing map (SOM) papers: 1998–2001 Addendum, Neural Computing Surveys, 3, 1 Refenes, 1997, Neural networks in financial engineering: a study in methodology, IEEE Transactions on Neural Networks, 8, 1222, 10.1109/72.641449 Refenes, 1993, Currency exchange rate prediction and neural network design strategies, Neural Computing and Applications, 1, 46, 10.1007/BF01411374 Simon, 2004, Double quantization of the regressor space for long-term time series prediction: method and proof of stability, Neural Networks, 17, 1169, 10.1016/j.neunet.2004.08.008 Versace, 2004, Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks, Expert Systems with Applications, 27, 417, 10.1016/j.eswa.2004.05.018 Wu, 2006, Spherical self-organizing map using efficient indexed geodesic data structure, Neural Networks, 19, 900, 10.1016/j.neunet.2006.05.021