"Algorithmic trading" Essays and Research Papers

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    data‚ build charts‚ and place his or her trades. According to Leibfarth (2006)‚ most day traders rely on highly expensive computers and charting software to get the results they desire. The newest phenomenon to hit the trading world is algorithmic trading or black box trading. In its simplest form‚ individuals can programs computers or “black boxes” automatically to place trades based on certain market conditions such as volume spikes‚ chart patterns‚ trend lines‚ or pivot points in the markets

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    Mitra 1.1 Introduction 1.2 News data ’ 1.2.1 Data sources 1.2.2 Pre-analysis’of news data 1.3 Turning qualitative text into quantified metrics and time-series 1.4 Models and applications 1.4.1 Information flow and computational architecture 1.4.2 Trading and fund management ‚ 1.4.3 Monitoring risk and risk control 1.4.4 Desirable industry applications 1.5 Summary and discussions l.A Appendix: Structure and content of news data l.A.l Details of Thomson Reuters News Analytics equity coverage and available

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    Investments Exam 1 Book

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    Investments Study Guide BOOK Review Figures: 1.1‚ 1.2‚ 1.3‚ 3.7‚ 5.3‚ 5.4‚ 6.1‚ 7.2‚ 8.1‚ 8.3‚ 8.4‚ 8.5 Chapter One Real Assets- assets used to produce goods and services (land‚ buildings‚ etc) Financial Assets- claims on real assets of the income generated (stocks‚ bonds) Fixed Income (Debt) Securities- pay a specified cash flow over a specific period of time (CDs‚ Treasury Bills‚ Treasury securities) Equity- ownership share in a corporation (pay dividends) depend on success of company Derivatives-

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    ’RIGGED’ by Wall Street’s ’Flash Boys’‚ High-frequency Trading‚ Exchanges and Dark Pools". New York‚ NY‚ USA (August 2‚ 2014) -- The Speed Traders Workshop 2014 Singapore‚ "How Banks‚ Hedge and Mutual Funds and Brokers Battle Markets ’RIGGED’ by Wall Street’s ’Flash Boys’‚ Highfrequency Trading‚ Exchanges and Dark Pools" (http://www.thespeedtradersworkshop.com)‚ is the first and most comprehensive initiation to the world of high-frequency trading with Edgar Perez‚ author of Knightmare on Wall Street

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    COmputer science

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    Main article: History of computer science Charles Babbage is credited with inventing the first mechanical computer. Ada Lovelace is credited with writing the first algorithm intended for processing on a computer. The earliest foundations of what would become computer science predate the invention of the modern digital computer. Machines for calculating fixed numerical tasks such as the abacus have existed since antiquity‚ aiding in computations such as multiplication and

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    a company that specializes in gathering massive amounts of data and then funneling that data into various algorithmic platforms. These algorithm’s are then used to track behavior patterns and build a predictive platform to determine that a given subject would take. One use that is described on the corporate website is the ability to track financial trading data and look for various trading patterns that might arise. While that all sounds innocuous enough at a cursory glance‚ the possibilities for

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    associated with portfolio management while catering to the unique needs of clients‚ the industry is developing automated investment platforms and research tools. Within the securities trading environment in particular‚ the increased pressure to obtain "best executions" has created new markets in program and algorithmic trading‚ spheres in which I feel I can excel. Moreover‚ as business decisions regarding marketing‚ global growth‚ and technology integration increasingly play a role in the success of investment

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    the problem‚ decision support systems (DSS) are used personally by managers on an everyday basis in direct support of decisions. Along with artificial intelligence (AI) and expert systems (ES) occurred‚ conflict is existed between AI approach and algorithmic approach. In practice‚ it is hard to distinguish clearly which approach is better for an organization. A system based on these two approaches adopted by managers is just depends on a specific situation. According to the case of Beauty Parlour

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    Complex Event Processing

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    Technology Commercial applications of CEP include algorithmic stock-trading‚ the detection of credit-card fraud‚ business activity monitoring‚  security monitoring‚ security policy risk management‚ customer relationship management (CRM)‚ application servers and middleware. 4 5 There are also wide variety of financial applications that incorporates CEP‚ (e.g. profit‚ loss‚ and risk management systems‚  order and liquidity analysis‚ quantitative trading and signal generation systems‚ and others. 6

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    cs 322

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    COMBANITRIX A COMBINATORIAL ALGORITHMIC PROCEDURE I. Rationale An algorithm is a large-scale continuous study and research for the most time-convenient and resource-efficient mode of systematically doing things accurately. It predates the existence of computers. As such‚ algorithms arise more significantly as compared to computing technology. Word-letter oriented games‚ applications and systems are but some of technological advancements that use heavy algorithm processes. As to this‚ we

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