research-article

Trading monitoring cockpit: conceptual architecture

Authors:

Kemal A. Delic,

Jeff A. RileyAuthors Info & Claims

i-KNOW '14: Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business

Article No.: 36, Pages 1 - 4

https://doi.org/10.1145/2637748.2638430

Published: 16 September 2014 Publication History

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Abstract

We are witnessing the rise of robots in the finance industry in which human capabilities are largely surpassed by the capabilities of trading robots, and where solutions to several conundrums should be explored and sought. We describe this domain, explore some fundamental questions and suggest the Trading Monitoring Cockpit as a possible aide to human traders. This is work in progress, and we base our claims on assumptions and theoretical concepts and not on any practical experiments, nor real-world data collections.

References

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R. J. Schiller, "From Efficient Markets Theory to Behavioral Finance", Cowles Foundation Paper No. 1055, New Haven, Connecticut 2003

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J. Rosenthal, "Rise of the robotrader", The World in 2014, The Economist, November 2013

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J. Loveless, "Barbarians at the Gateways", CACM, October 2013, Vol. 56, No. 10, pp.42--49

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J. Loveless, S. Stoikov, R. Waeber, "Online Algorithms in High-Frequency Trading", CACM, October 2013, Vol. 56, No. 10, pp.50--56

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M. Buchanan, "How High-Speed Traders are Like Fish", Bloomberg, March 23, 2014

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S. Patterson, "Speed Traders Get an Edge", Wall-Street Journal, Feb. 6, 2014.

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T. Harford, "Let's have some real-time economics", Financial Times, March 7, 2014

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J. Goldstein, "Putting a Speed Limit on the Stock Market", New-York Times, Oct. 2013

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Index Terms

Trading monitoring cockpit: conceptual architecture
1. Computer systems organization
  1. Architectures

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i-KNOW '14: Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business

September 2014

262 pages

ISBN:9781450327695

DOI:10.1145/2637748

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 16 September 2014

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i-KNOW '14

i-KNOW '14: 14th International Conference on Knowledge Technologies and Data-driven Business

September 16 - 19, 2014

Graz, Austria

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i-KNOW '14 Paper Acceptance Rate 25 of 73 submissions, 34%;

Overall Acceptance Rate 77 of 238 submissions, 32%

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Using a Robot Trader for Automatic Trading

Fuzzy modeling of stock trading with fuzzy candlesticks

Forecasting financial signal for automated trading: An interpretable approach

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Using a Robot Trader for Automatic Trading

Fuzzy modeling of stock trading with fuzzy candlesticks

Forecasting financial signal for automated trading: An interpretable approach

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