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The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading;
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professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic;
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sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced;
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, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it;
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contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading;
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Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading;
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portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with;
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introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover;
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of portfolio, but also elaborates on financial derivatives, securities market and risk evaluation that help in understanding the trading system better;
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of portfolio, but also elaborates on financial derivatives, securities market and risk evaluation that help in understanding the trading system better;
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A comprehensive overview of trading and risk management in the energy markets Energy Trading and Risk Management provides a comprehensive;
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Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using;
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markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading;
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originated with Harry Markowitz's seminal paper Portfolio Selection in 1952, has stood the test of time and continues to be the intellectual;
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himself to help you interpret and implement the included algorithms. Algorithmic system trading isn't really all that new, but the technology;
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long/short portfolio. It discusses fundamental and advanced trading concepts from the perspective of a veteran short seller. This book will;
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sectors of financial services - from payments and cash management, to insurance and securities. Electronic and Algorithmic Trading: The Complete;
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A unique, authoritative, and comprehensive treatment of fixed income markets Fixed Income Trading and Risk Management: The Complete;
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This book provides the first practical guide to the function and implementation of algorithmic differentiation in finance. Written in a;
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Based in Singapore, Teguh Pranoto Chen specializes in building a portfolio of trading systems. Choice brokers in the United States and;
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over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading;
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of options contracts. From the basics of options trading to strategy construction and portfolio management, The Unlucky Investor's Guide to Options;
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MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his;
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The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and;
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The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and;
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, absorb the effects on your money, and quickly resolve problems that impact profits. Algorithmic trading began as a ridiculous concept in the;
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Trading Psychology 2.0 is a comprehensive guide to applying the science of psychology to the art of trading in a dynamic and evolving;
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