Algorithmic Trading.
In electronic financial markets, algorithmic trading refers to the use of computer programs to automate one or more stages of the trading process: pretrade analysis (data analysis), trading signal generation (buy and sell recommendations), and trade execution. Trade execution is further divided into...
| Publicado en: | Computer (00189162) Vol. 44; no. 11; p. 61 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Nov2011
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=67194853&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 67194853 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Nov2011 vid: 44 iid: 11 pid: 13605 pub: IEEE artinfo: ui: 67194853 10.1109/MC.2011.31 ppf: 61 ppct: 0 formats: tig: atl: Algorithmic Trading. aug: au: Nuti, Giuseppe Mirghaemi, Mahnoosh Treleaven, Philip Yingsaeree, Chaiyakorn affil: UK Centre in Financial Computing, London su: Electronic trading of securities Data processing in securities Algorithms Computer software sug: subj: Electronic trading of securities Data processing in securities Algorithms Computer software keyword: Algorithm design and analysis Algorithmic trading Black-box trading Electronic trading Investments Protocols Security Smart order routing Stock markets ab: In electronic financial markets, algorithmic trading refers to the use of computer programs to automate one or more stages of the trading process: pretrade analysis (data analysis), trading signal generation (buy and sell recommendations), and trade execution. Trade execution is further divided into agency/broker execution (when a system optimizes the execution of a trade on behalf of a client) and principal/proprietary trading (where an institution trades on its own account). Each stage of this trading process can be conducted by humans, by humans and algorithms, or fully by algorithms. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
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