Electronic And Algorithmic Trading Technology

Electronic and Algorithmic Trading Technology

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

Architects of Electronic Trading

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

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