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Computational nanotechnology, 2017, Issue 2, Pages 58–61
(Mi cn126)
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05.13.18 MATHEMATICAL MODELING, NUMERICAL METHODS AND COMPLEXES PROGRAMS
On the experience of the organization of high-frequency financial applications
A. F. Ereshko Dorodnicyn Computing Centre of the FRC of the Russian Academy of the Sciences, Moscow
Abstract:
Background: The financial industry actively develops, and a research objective is to formulate new development approaches of the hardware and software for algorithmic trade.
Materials and methods: Research framework is to use the system of automatic trade in the solution of problems of hedging, a market-making, arbitration, high-frequency trade, management of client positions.
Results: The statement of approaches to the solution of typical problems which developers of models and codes, such as: connection to the auction, relevance of exchange information, ways of testing and finding of optimum settings.
Conclusion: New opportunities of information and communication technologies and hardware-software systems effectively solve problems of the high-frequency trade in the financial industry.
Keywords:
financial industry, automatic trading, hardware and software, high-frequency applications, models, computing modules, calculations.
Citation:
A. F. Ereshko, “On the experience of the organization of high-frequency financial applications”, Comp. nanotechnol., 2017, no. 2, 58–61
Linking options:
https://www.mathnet.ru/eng/cn126 https://www.mathnet.ru/eng/cn/y2017/i2/p58
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Statistics & downloads: |
Abstract page: | 154 | Full-text PDF : | 208 | References: | 26 |
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