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1

Tsai, S. C. Optimisation of trading rules using genetic algorithms. UMIST, 1997.

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2

Gillam, Peter Terrence. The use of genetic algorithms in discovering profitable stock trading systems. University of Birmingham, 1998.

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3

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

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4

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

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5

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

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6

(Firm), Institutional Investor, ed. Algorithmic trading: Precision, control, execution. Institutional Investor, 2005.

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7

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

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8

(Firm), Institutional Investor, ed. Algorithmic trading II: Precision, control, execution. Institutional Investor, 2006.

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9

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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10

Essays on Algorithmic Trading. Ibidem Verlag, 2014.

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11

Essays on Algorithmic Trading. ibidem-Verlag, 2010.

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12

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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13

Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po Wong. Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Taylor & Francis Group, 2019.

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14

Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Taylor & Francis Group, 2017.

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15

Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Taylor & Francis Group, 2017.

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16

Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Taylor & Francis Group, 2017.

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17

Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Taylor & Francis Group, 2017.

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18

Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Taylor & Francis Group, 2017.

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19

Kapoor, Vivek, and Shubhamoy Dey. Genetic Algorithms and Applications for Stock Trading Optimization. IGI Global, 2021.

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20

Kapoor, Vivek, and Shubhamoy Dey. Genetic Algorithms and Applications for Stock Trading Optimization. IGI Global, 2021.

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21

Kapoor, Vivek, and Shubhamoy Dey. Genetic Algorithms and Applications for Stock Trading Optimization. IGI Global, 2021.

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22

Kapoor, Vivek, and Shubhamoy Dey. Genetic Algorithms and Applications for Stock Trading Optimization. IGI Global, 2021.

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23

Kapoor, Vivek, and Shubhamoy Dey. Genetic Algorithms and Applications for Stock Trading Optimization. IGI Global, 2021.

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24

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

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25

Chan, Ernest P. Machine Trading: Deploying Computer Algorithms to Conquer the Markets. Wiley & Sons, Limited, John, 2017.

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26

Chan, Ernest P. Machine Trading: Deploying Computer Algorithms to Conquer the Markets. Wiley & Sons, Incorporated, John, 2016.

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27

Chan, Ernest P. Machine trading: Deploying computer algorithms to conquer the markets. 2017.

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28

Masters, Timothy. Testing and Tuning Market Trading Systems: Algorithms in C++. Apress, 2018.

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29

Chan, Ernest P. Machine Trading: Deploying Computer Algorithms to Conquer the Markets. Wiley & Sons, Incorporated, John, 2016.

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30

Leshik, Edward, and Jane Cralle. Introduction to Algorithmic Trading: Basic to Advanced Strategies. Wiley & Sons, Limited, John, 2015.

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31

Leshik, Edward, and Jane Cralle. Introduction to Algorithmic Trading: Basic to Advanced Strategies. Wiley & Sons, Incorporated, John, 2011.

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32

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

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33

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

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34

Kaufman, Perry J. Guide to Creating a Successful Algorithmic Trading Strategy. Wiley & Sons, Incorporated, John, 2015.

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35

Kaufman, Perry J. Guide to Creating a Successful Algorithmic Trading Strategy. Wiley & Sons, Incorporated, John, 2015.

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36

Kaufman, Perry J. Guide to Creating a Successful Algorithmic Trading Strategy. Wiley & Sons, Incorporated, John, 2015.

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37

Kaufman, Perry J. Guide to Creating a Successful Algorithmic Trading Strategy. Wiley & Sons, Incorporated, John, 2016.

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38

Kaufman, Perry J. Guide to Creating a Successful Algorithmic Trading Strategy. Wiley & Sons, Incorporated, John, 2016.

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39

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

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40

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

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41

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

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42

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

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43

Masters, Timothy. Permutation and Randomization Tests for Trading System Development: Algorithms in C++. Independently Published, 2020.

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44

The Science Of Algorithmic Trading And Portfolio Management. Academic Press, 2013.

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45

Kaufman, Perry J. A guide to creating a successful algorithmic trading strategy. 2016.

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46

Krishtop, Alex. Getting Started with Forex Trading Using Python: Beginner's Guide to the Currency Market and Development of Trading Algorithms. Packt Publishing, Limited, 2023.

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47

Krishtop, Alex. Getting Started with Forex Trading Using Python: Beginner's Guide to the Currency Market and Development of Trading Algorithms. de Gruyter GmbH, Walter, 2023.

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48

MacKenzie, Donald. Trading at the Speed of Light: How Ultrafast Algorithms Are Transforming Financial Markets. Princeton University Press, 2023.

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49

MacKenzie, Donald. Trading at the Speed of Light: How Ultrafast Algorithms Are Transforming Financial Markets. Princeton University Press, 2021.

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50

MacKenzie, Donald. Trading at the Speed of Light: How Ultrafast Algorithms Are Transforming Financial Markets. Princeton University Press, 2021.

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