November 30, 2020

Download Ebook Free Electronic And Algorithmic Trading Technology

Electronic and Algorithmic Trading Technology

Electronic and Algorithmic Trading Technology
Author : Kendall Kim
Publisher : Academic Press
Release Date : 2010-07-27
Category : Business & Economics
Total pages :224
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Electronic and algorithmic trading has become part of a mainstream response to buy-side traders’ need to move large blocks of shares with minimum market impact in today’s complex institutional trading environment. This book illustrates an overview of key providers in the marketplace. With electronic trading platforms becoming increasingly sophisticated, more cost effective measures handling larger order flow is becoming a reality. The higher reliance on electronic trading has had profound implications for vendors and users of information and trading products. Broker dealers providing solutions through their products are facing changes in their business models such as: relationships with sellside customers, relationships with buyside customers, the importance of broker neutrality, the role of direct market access, and the relationship with prime brokers. Electronic and Algorithmic Trading Technology: The Complete Guide is the ultimate guide to managers, institutional investors, broker dealers, and software vendors to better understand innovative technologies that can cut transaction costs, eliminate human error, boost trading efficiency and supplement productivity. As economic and regulatory pressures are driving financial institutions to seek efficiency gains by improving the quality of software systems, firms are devoting increasing amounts of financial and human capital to maintaining their competitive edge. This book is written to aid the management and development of IT systems for financial institutions. Although the book focuses on the securities industry, its solution framework can be applied to satisfy complex automation requirements within very different sectors of financial services – from payments and cash management, to insurance and securities. Electronic and Algorithmic Trading: The Complete Guide is geared toward all levels of technology, investment management and the financial service professionals responsible for developing and implementing cutting-edge technology. It outlines a complete framework for successfully building a software system that provides the functionalities required by the business model. It is revolutionary as the first guide to cover everything from the technologies to how to evaluate tools to best practices for IT management. First book to address the hot topic of how systems can be designed to maximize the benefits of program and algorithmic trading Outlines a complete framework for developing a software system that meets the needs of the firm's business model Provides a robust system for making the build vs. buy decision based on business requirements

Learn Algorithmic Trading

Learn Algorithmic Trading
Author : Sourav Ghosh,Sebastien Donadio
Publisher : Unknown
Release Date : 2019-11-07
Category : Computers
Total pages :394
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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 strategies Key Features Understand the power of algorithmic trading in financial markets with real-world examples Get up and running with the algorithms used to carry out algorithmic trading Learn to build your own algorithmic trading robots which require no human intervention Book Description It's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You'll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You'll explore the key components of an algorithmic trading business and aspects you'll need to take into account before starting an automated trading project. Next, you'll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you'll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you'll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you'll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets. What you will learn Understand the components of modern algorithmic trading systems and strategies Apply machine learning in algorithmic trading signals and strategies using Python Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more Quantify and build a risk management system for Python trading strategies Build a backtester to run simulated trading strategies for improving the performance of your trading bot Deploy and incorporate trading strategies in the live market to maintain and improve profitability Who this book is for This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.

Learn Algorithmic Trading with Python

Learn Algorithmic Trading with Python
Author : Jamal Sinclair O’Garro
Publisher : Apress
Release Date : 2019-10-26
Category : Computers
Total pages :335
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Develop and deploy an automated electronic trading system with Python and the SciPy ecosystem. This book introduces you to the tools required to gather and analyze financial data through the techniques of data munging and data visualization using Python and its popular libraries: NumPy, Pandas, scikit-learn, and Matplotlib. You will create a research environment using Jupyter Notebooks while leveraging open source back-testing software to analyze and experiment with several trading strategies. Next, you will measure the level of return and risk of a portfolio using measures such as Alpha, Beta, and the Sharpe Ratio. This will set the stage for the use of open source backtesting and scientific computing libraries such as zipline, NumPy, and scikit-learn to develop models that will help you identify, buy, and sell signals for securities in your portfolio and watch-list. With Learn Algorithmic Trading with Python you will explore key techniques used to analyze the performance of a portfolio and trading strategies and write unit tests on Python code that will send live orders to the market. What You'll Learn Analyze financial data with Pandas Use Python libraries to perform statistical reviews Review algorithmic trading strategies Assess risk management with NumPy and StatsModels Perform paper and Live Trading with IB Python API Write unit tests and deploy your trading system to the Cloud Who This Book Is For Software developers, data scientists, or students interested in Python and the SciPy ecosystem

The Science of Algorithmic Trading and Portfolio Management

The Science of Algorithmic Trading and Portfolio Management
Author : Robert Kissell
Publisher : Academic Press
Release Date : 2013-07-01
Category : Business & Economics
Total pages :473
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The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. Helps readers design systems to manage algorithmic risk and dark pool uncertainty. Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.

The Handbook of Electronic Trading

The Handbook of Electronic Trading
Author : Joe Rosen
Publisher : Unknown
Release Date : 2009-06-18
Category : Business & Economics
Total pages :589
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This book provides a comprehensive look at the challenges of keeping up with liquidity needs and technology advancements. It is also a sourcebook for understandable, practical solutions on trading and technology.

Flash Boys: A Wall Street Revolt

Flash Boys: A Wall Street Revolt
Author : Michael Lewis
Publisher : W. W. Norton & Company
Release Date : 2014-03-31
Category : Business & Economics
Total pages :274
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Argues that post-crisis Wall Street continues to be controlled by large banks and explains how a small, diverse group of Wall Street men have banded together to reform the financial markets.

Dynamics of Drivers of Organizational Change

Dynamics of Drivers of Organizational Change
Author : Nicole Zimmermann
Publisher : Springer Science & Business Media
Release Date : 2011-06-29
Category : Business & Economics
Total pages :311
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Often, organizations have difficulties in recognizing the need to change. Nicole Zimmermann investigates the barriers to, but also in particular the drivers of organizational change. From the case-specific as well as from a generic study, a structural model results that is able to explain how environmental and cognitive drivers, inertia and managerial attention interact.

Algorithmic and High-Frequency Trading

Algorithmic and High-Frequency Trading
Author : Álvaro Cartea,Sebastian Jaimungal,José Penalva
Publisher : Cambridge University Press
Release Date : 2015-08-06
Category : Business & Economics
Total pages :356
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A straightforward guide to the mathematics of algorithmic trading that reflects cutting-edge research.

High-Frequency Trading

High-Frequency Trading
Author : Irene Aldridge
Publisher : John Wiley and Sons
Release Date : 2009-12-22
Category : Business & Economics
Total pages :368
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A hands-on guide to the fast and ever-changing world of high-frequency, algorithmic trading Financial markets are undergoing rapid innovation due to the continuing proliferation of computer power and algorithms. These developments have created a new investment discipline called high-frequency trading. This book covers all aspects of high-frequency trading, from the business case and formulation of ideas through the development of trading systems to application of capital and subsequent performance evaluation. It also includes numerous quantitative trading strategies, with market microstructure, event arbitrage, and deviations arbitrage discussed in great detail. Contains the tools and techniques needed for building a high-frequency trading system Details the post-trade analysis process, including key performance benchmarks and trade quality evaluation Written by well-known industry professional Irene Aldridge Interest in high-frequency trading has exploded over the past year. This book has what you need to gain a better understanding of how it works and what it takes to apply this approach to your trading endeavors.

Technology and Regulation

Technology and Regulation
Author : Robert A. Schwartz,John Aidan Byrne,Antoinette Colaninno
Publisher : Springer Science & Business Media
Release Date : 2009-07-24
Category : Business & Economics
Total pages :117
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This book is an augmented account of Technology and Regulation: How Are They Driving Our Markets?, a conference hosted by the Zicklin School of Business at Baruch College on May 1, 2007. The text includes the edited transcript of the full conference: four panels and the major presentations of three distinguished industry leaders – Ian Domowitz, Managing Director, ITG, Inc.; Erik Sirri, Director of the Division of Market Regulation, US Securities and Exchange Commission; and John Thain, who was CEO of NYSE Euronext at the time of the conference. The book also includes a related paper by Paul Davis, Mike Pagano, and myself: “Divergent Expectations,” Journal of Portfolio Management, Fall 2007. My co-editors and I have worked diligently to make this book, like all the other popular books in the series, more than an historical record. John Byrne, Antoinette Colaninno and I have edited the manuscript heavily for clarity and unity of ideas.

The Oxford Handbook of Computational Economics and Finance

The Oxford Handbook of Computational Economics and Finance
Author : Shu-Heng Chen,Mak Kaboudan,Ye-Rong Du
Publisher : Oxford University Press
Release Date : 2018-01-12
Category : Business & Economics
Total pages :784
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The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Trading and Electronic Markets: What Investment Professionals Need to Know

Trading and Electronic Markets: What Investment Professionals Need to Know
Author : Larry Harris
Publisher : CFA Institute Research Foundation
Release Date : 2015-10-19
Category : Business & Economics
Total pages :94
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The true meaning of investment discipline is to trade only when you rationally expect that you will achieve your desired objective. Accordingly, managers must thoroughly understand why they trade. Because trading is a zero-sum game, good investment discipline also requires that managers understand why their counterparties trade. This book surveys the many reasons why people trade and identifies the implications of the zero-sum game for investment discipline. It also identifies the origins of liquidity and thus of transaction costs, as well as when active investment strategies are profitable. The book then explains how managers must measure and control transaction costs to perform well. Electronic trading systems and electronic trading strategies now dominate trading in exchange markets throughout the world. The book identifies why speed is of such great importance to electronic traders, how they obtain it, and the trading strategies they use to exploit it. Finally, the book analyzes many issues associated with electronic trading that currently concern practitioners and regulators.

Architects of Electronic Trading

Architects of Electronic Trading
Author : Stephanie Hammer
Publisher : John Wiley & Sons
Release Date : 2013-05-31
Category : Business & Economics
Total pages :208
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Insights that can help you improve your technology edge Featuring contributions from technology visionaries at leading alternative investors, hedge funds, trading firms, exchanges, and vendors, this book covers current trends in trading technology. The book features interviews with the leaders responsible for the technology that is shaping today's electronic financial markets. You'll hear the views of CIOs, CTOs, and other technology leaders on emerging technologies, innovation in the financial sector, and how technology is enhancing markets in ways other than just speed. Their perspectives on harnessing technology to enhance computing power, reduce time to market, bolster risk management, and much more offer valuable lessons for readers. Includes a wealth of practical insights on how to improve your technology edge Features interviews with leading technology professionals in the financial industry across an array of asset classes and markets Serves as a topical guide to the latest developments, enhancements and applications of technology to tackle trading and risk management challenges Includes insights from top technology professionals on evaluating and adopting technology solutions Looks at the effects of technology on finance professionals and their businesses as well as the global finance industry generally

Quantitative Trading

Quantitative Trading
Author : Ernest P. Chan
Publisher : Unknown
Release Date : 2009
Category : Investment analysis
Total pages :181
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"While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed"--Resource description page.

Algorithmic Trading

Algorithmic Trading
Author : Ernie Chan
Publisher : John Wiley & Sons
Release Date : 2013-05-28
Category : Business & Economics
Total pages :224
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Praise for Algorithmic Trading "Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers." —DAREN SMITH, CFA, CAIA, FSA, President and Chief Investment Officer, University of Toronto Asset Management "Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses." —Roger Hunter, Mathematician and Algorithmic Trader