Modeling and Optimization of Automated Trading Systems
The article discusses automated trading systems modeling and trading algorithm structure from the perspective of system analysis and automated control principles. We consider various modifications of a specific trading algorithm implementation and offer ways of its parametric optimization with performance criteria based on profit expectations and risk tolerance. The article demonstrates examples of the algorithm simulation using order book generator
Keywords: trading system, algorithmic trading, automation, modeling, optimization
References
1. Торговые системы-роботы на рынке ценных бумаг. РБКМ: торговые роботы. 2012. http://rbkm.ru/biblioteka/roboti-i-mts/torgovie-sistemi-roboti-na-rinke-tsennich-bumag.
2. Механические торговые системы. РБКМ: торговые роботы. 2012. http://rbkm.ru/biblioteka/roboti-i-mts/mechanicheskietorgovie-sistemi.
3. N. J. Balsara. Money Management Strategies for Futures Traders//Wiley, 1st edition, March 16, 1992. P. 151.
4. M. Glantz, R. Kissell. Multi-Asset Risk Modeling: Techniques for a Global Economy in an Electronic and Algorithmic Trading Era//Academic Press, Dec 3, 2013. P. 258.
5. Разработка торговой системы. РБКМ: торговые роботы. 2012. http://rbkm.ru/biblioteka/roboti-i-mts/razrabotka-torgovoysistemi.
6. S. Sethi, G. L. Thompson. Applications of Mathematical Control Theory to Finance: Modeling Simple Dynamic Cash Balance Problems//Journal of Financial and Quantitative Analysis, 5, 1970. P. 381-394.
7. W. H. Fleming. Optimal Investment Models and Risk-Sensitive Stochastic Control//IMA Volume of Mathematical Finance, 65, 1995. P. 35-45.
8. W. H. Fleming, T. Pang. An Application of Stochastic Control Theory to Financial Economics//SIAM Journal on Control and Optimization, 43, 2003. P. 502-531.
9. D. Borden. Stochastic Control Theory and Automated Market Making //Columbia University. 2010. http://www.columbia.edu/cu/cap/pdf-files/Borden_D_CAP_2010.pdf.
10. B. R. Barmish. Can Control Science Bring New Insights to Stock Trading Research?//IEEE – Control System Society. 2013. http://www.ieeecss-oll.org/lecture/can-control-science-bring-newinsights-stock-trading-research-0.
11. А. А. Вавилов, Д. Х. Имаев. Машинные методы расчета систем управления. Л.: Изд-во Ленингр. ун-та, 1981. С. 238.
12. Ф. Харари. Теория графов. М.: «МИР», 1973. С. 300.
13. Д. Х. Имаев, Д. Д. Имаев. О некоторых свойствах случайных процессов, порождаемых дисбалансом потоков финансовых ордеров//Сб. докл. XIX Межд. конф. по мягким вычислениям и измерениям SCM-2016, Санкт-Петербург, 25-26 мая 2016 г. Т. 2. СПб.: Изд-во СПбГЭТУ «ЛЭТИ», 2016. С. 295-298.
14. S. Stoikov, R. Talreja, R. Cont. A stochastic model for order book dynamics//Operations Research.Vol 58. No 3. 2010. P. 549-563.
