Geodesic
Representation of trading signals based Kaufman adaptive moving average as a system of linear inequalities
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 2 (2013) no. 4, pp. 103-108 Cet article a éte moissonné depuis la source Math-Net.Ru

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This paper considers the adaptation of problem of strong separability for decisions about buying or selling financial assets, such as equities, currencies, futures, etc. on the stock exchange. There were constructed two systems of linear inequalities that define the regions in $n$-dimensional space. These systems describe the expert trading signals that based on adaptive moving average of Kaufman.
Keywords: the problem of strong separability, Fejer mapping, adaptive moving average of Kaufman, trading signals for robot. 
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M. M. Dyshaev; I. M. Sokolinskaya. Representation of trading signals based Kaufman adaptive moving average as a system of linear inequalities. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 2 (2013) no. 4, pp. 103-108. http://geodesic.mathdoc.fr/item/VYURV_2013_2_4_a7/

[1] S. N. Volodin, “Problemy rasprostraneniya algoritmicheskoy torgovli na krupneyshikh mirovykh birzhakh”, Informatcionno-analiticheskii zhurnal “Politicheskoe obrazovanie”, 2012 } {\tt http://www.lawinrussia.ru/node/252999

[2] Dzh. Tu, R Gonsales, Printcipy raspoznavaniia obrazov, Per. s angl., ed. Iu. I. Zhuravlyov, Mir, Moscow, 1978, 411 pp.

[3] I. I. Eremin, “Feierovskie metody silnoi otdelimosti vypuclykh poliedralnykh mnozhestv”, Izvestiia vuzov. Ser. Matematika, 2006, no. 12, 33–43

[4] A. V. Yershova, I. M. Sokolinskaya, “Parallel’nyy algoritm resheniya zadachi silnoy otdelimosti na osnove feyyerovskikh otobrazheniy”, Vychislitel’nyye metody i programmirovaniye: novyye vychislitel’nyye tekhnologii, 12:1 (2011), 423–434

[5] A. V. Yershova, I. M. Sokolinskaya, “O skhodimosti masshtabiruyemogo algoritma postroyeniya psevdoproyektsii na vypukloye zamknutoye mnozhestvo”, Vestnik YuzhnoUral’skogo gosudarstvennogo universiteta. Seriya: Matematicheskoye modelirovaniye i programmirovaniye, 37(254) (2011), 12–21

[6] A. V. Yershova, I. M. Sokolinskaya, “Issledovaniye ustoychivosti parallel’nogo algoritma resheniya zadachi sil’noy otdelimosti na baze feyyerovskikh otobrazheniy”, Vestnik YuzhnoUral’skogo gosudarstvennogo universiteta. Seriya: Matematicheskoye modelirovaniye i programmirovaniye, 18(277) (2012), 5–12

[7] P. J. Kaufman, Smarter Trading: Improving Performance in Changing Markets, McGraw-Hill, Inc., 1995, 257 pp.

[8] R. J. Hyndman, A. B. Koehler, J. K. Ord, R. D. Snyder, Forecasting with Exponential Smoothing. The State Space Approach, Springer, 2008, 360 pp.