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Books on the topic 'Algorithmic Trading'

Author: Grafiati

Published: 4 June 2021

Last updated: 23 February 2023

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1

Chan, Ernest P. Algorithmic Trading. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118676998.

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2

Leshik, Edward A., and Jane Cralle, eds. An Introduction to Algorithmic Trading. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119206033.

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3

Davey, Kevin J. Building Winning Algorithmic Trading Systems. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118778944.

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4

Chan, Ernest P. Quantitative trading: How to build your own algorithmic trading business. Hoboken, N.J: John Wiley & Sons, 2009.

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5

Algorithmic trading & DMA: An introduction to direct access trading strategies. London: 4Myeloma Press, 2010.

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6

High-frequency trading: A practical guide to algorithmic strategies and trading system. Hoboken, N.J: Wiley, 2010.

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7

Electronic and algorithmic trading technology: The complete guide. Boston, Mass: Academic Press, an imprint of Elsevier, 2007.

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8

Jane, Cralle, ed. An introduction to algorithmic trading: Basic to advanced strategies. Chichester, West Sussex, UK: Wiley, 2011.

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9

Gomber, Peter, and Kai Zimmermann. Algorithmic Trading in Practice. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.12.

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The use of computer algorithms in securities trading, or algorithmic trading, has become a central factor in modern financial markets. The desire for cost and time savings within the trading industry spurred buy side as well as sell side institutions to implement algorithmic services along the entire securities trading value chain. This chapter encompasses this algorithmic evolution, highlighting key cornerstones in it development discussing main trading strategies, and summarizing implications for overall securities markets quality. In addition, it touches on the contribution of algorithmic trading to the recent market turmoil, the U.S. Flash Crash, including the discussions of potential solutions for assuring market reliability and integrity.

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10

Algorithmic Trading Methods. Elsevier, 2021. http://dx.doi.org/10.1016/c2017-0-03456-0.

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11

The Algorithmic Trading. Edgar L. Goin, 2022.

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12

Vassiliadis, Vassilios, and Georgios Dounias. Algorithmic Trading based on Biologically Inspired Algorithms. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.11.

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The chapter discusses algorithmic trading, which refers to any automated process, consisting of a number of interconnected components, whose main aim is to perform financial transactions of any kind. Its chief advantage lies in the fact that human intervention is minimized to an acceptable extent. This is quite desirable because nowadays numerous factors affect financial decisions. Financial managers are able to deal with a limited amount of information. There are many ways to implement algorithmic trading systems. This chapter aims to highlight the efficiency of biologically inspired methodologies when incorporated in such systems. Biologically inspired intelligence comprises a range of algorithms whose common philosophy is based on the behavior of real-world, natural systems and networks. What is more, the performance of the applied nature-inspired intelligence (NII) methodologies is compared to traditional benchmark approaches such as the random portfolio construction.

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13

Essays on Algorithmic Trading. ibidem-Verlag, 2010.

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14

Research, Fudancy, and M. Schoeffel. Algorithmic Trading - Algorithmic Trading Strategies - Compendium : Volumes 21 to 40: Trading Systems Research And Development. CreateSpace Independent Publishing Platform, 2012.

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15

Gettens, Sylvia. Explore Algorithmic Trading : Trading Strategies Based on Rules Programmed into a Computer: Algorithmic Trading Books. Independently Published, 2021.

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16

Research, Fudancy, and M. Schoeffel. Algorithmic Trading - Algorithmic Trading Strategies - Compendium : Volumes 1 to 20: Trading Systems Research and Development. CreateSpace Independent Publishing Platform, 2012.

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17

Hanson, David. Algorithmic Trading Strategies: Highly Profitable Algorithmic Trading Strategies for Forex and Cryptocurrency. Independently Published, 2021.

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18

Chakravarty, Satya, and Palash Sarkar. Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain. Emerald Publishing Limited, 2020.

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19

Chakravarty, Satya, and Palash Sarkar. Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain. Emerald Publishing Limited, 2020.

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20

Chakravarty, Satya, and Palash Sarkar. Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain. Emerald Publishing Limited, 2020.

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21

Electronic and algorithmic trading technology. british library cataloguing in publication data, 2007.

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22

Velu, Raja. Algorithmic Trading and Quantitative Strategies. Taylor & Francis Group, 2020.

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23

Velu, Raja. Algorithmic Trading and Quantitative Strategies. Taylor & Francis Group, 2020.

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24

Velu, Raja, Maxence Hardy, and Daniel Nehren. Algorithmic Trading and Quantitative Strategies. Taylor & Francis Group, 2020.

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25

Velu, Raja. Algorithmic Trading and Quantitative Strategies. Taylor & Francis Group, 2020.

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26

Álvaro Cartea, José Penalva, and Sebastian Jaimungal. Algorithmic and High-Frequency Trading. Cambridge University Press, 2015.

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27

Lai, Tze Leung, Samuel Po-Shing Wong, and Raja P. Velu. Algorithmic Trading and Market Making. Taylor & Francis Group, 2015.

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28

Algorithmic and High-Frequency Trading. Cambridge University Press, 2015.

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29

Velu, Raja, Maxence Hardy, and Daniel Nehren. Algorithmic Trading and Quantitative Strategies. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429183942.

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30

Velu, Raja. Algorithmic Trading and Quantitative Strategies. Taylor & Francis Group, 2020.

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31

Electronic and Algorithmic Trading Technology. Elsevier, 2007. http://dx.doi.org/10.1016/b978-0-12-372491-5.x5000-9.

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32

TradeSignAlgo. Algorithmic Trading Strategy: Second Edition. Independently Published, 2017.

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33

Velu, Raja, Maxence Hardy, and Daniel Nehren. Algorithmic Trading and Quantitative Strategies. Taylor & Francis Group, 2018.

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34

Algorithmic Trading: A Practitioner's Guide. TBG Press, 2020.

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35

Chakravarty, Satya R., and Palash Sarkar. An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain. Emerald Publishing Limited, 2020. http://dx.doi.org/10.1108/9781789738933.

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36

Pierre-Henri, Conac. Part III Trading, 17 Algorithmic Trading and High-Frequency Trading (HFT). Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780198767671.003.0017.

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This chapter analyses the MiFID II rules on algorithmic trading (AT), including high-frequency trading (HFT). The author argues that AT raises serious issues of volatility and systemic risk, and HFT issues of systematic front-running of investors. However, opinions are divided on the benefits and risks of these techniques, especially HFT. MiFID II takes a technical approach mostly focused on prevention of a repeat of the 2010 ‘Flash Crash’ with provisions on market abuse. The ESMA 2012 Guidelines remain the most effective regulation to frame the development of HFT, able to tackle market developments with relative speed. However, with implementation of the directive still far away, prosecution of market abuse among HFT traders by legislators and supervisors could lead to a de facto ban of HFT in some Member States. However, the author argues that supervisors would need to allocate scarce resources to it, at great cost, and only the most motivated supervisors will do so.

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37

DUBEY, Vivek. Journey of Algorithmic Trading: Financial Analytics. Independently Published, 2019.

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38

Johnson, James. Algorithmic Trading: A Beginner's Guide to Learning the Fundamentals and the Strategies of Algorithmic Trading. Independently Published, 2019.

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39

Johnson, Alex. Algorithmic Trading: A Comprehensive Beginner's Guide to Learn the Basics and Realms of Algorithmic Trading. Independently Published, 2019.

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40

Chan, Ernest P. Quantitative Trading: How to Build Your Own Algorithmic Trading Business. Wiley & Sons, Limited, John, 2021.

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41

Chan, Ernest P. Quantitative Trading: How to Build Your Own Algorithmic Trading Business. Wiley & Sons, Incorporated, John, 2021.

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42

Chan, Ernie. Quantitative Trading: How to Build Your Own Algorithmic Trading Business. Wiley & Sons, Limited, John, 2015.

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43

Chan, Ernest P. Quantitative Trading: How to Build Your Own Algorithmic Trading Business. Wiley & Sons, Incorporated, John, 2021.

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44

India Retail Algo Trading Scam. Utsav Kapoor, 2021.

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45

Chan, Ernie. Algorithmic Trading: Winning Strategies and Their Rationale. Wiley & Sons, Incorporated, John, 2013.

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46

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques. Wiley & Sons, Incorporated, John, 2008.

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47

Algorithmic Trading: Winning Strategies and Their Rationale. Wiley & Sons, Incorporated, John, 2013.

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48

Chan, Ernie. Algorithmic Trading: Winning Strategies and Their Rationale. Wiley & Sons, Incorporated, John, 2013.

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49

Pole, Andrew. Statistical Arbitrage: Algorithmic Trading Insights and Techniques. Wiley & Sons, Limited, John, 2015.

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50

Chan, Ernie. Algorithmic Trading: Winning Strategies and Their Rationale. Wiley & Sons, Limited, John, 2014.

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