Build an Automated Stock Trading System in Excel PDF Download

Author: Lawrence H. Klamecki
Publisher: Createspace Independent Publishing Platform
ISBN: 9781481065634
Category : Deals
Languages : en
Pages : 0

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Book Description
Build an Automated Stock Trading System in Excel is a step-by-step how to guide on building a sophisticated automated stock trading model using Microsoft Excel. Microsoft's Visual Basic (VBA) language is used in conjunction with Excel's user interface, formulas, and calculation capabilities to deliver a powerful and flexible trading tool. The Model includes five proven technical indicators (ADX, moving average crossovers, stochastics, Bollinger bands, and DMI). You are guided in a detailed fashion through creating worksheets, files, ranges, indicator formulas, control buttons, DDE/Active-X links, and code modules. The model incorporates both trend-trading and swing-trading features. The swing-trading feature can be turned on or off, depending upon your investing style. After building the model, you simply import the data you need, run the model automatically with a click of a button, and make your trading decisions. The system operates with your choice of FREE ASCII .TXT files available on the internet (from Yahoo Finance or other provider), or your subscription data service (with our without a DDE link). The model can be used alone or in conjunction with your existing fundamental and market analysis to improve investment timing and avoid unprofitable situations. A separate pre-built Backtesting Model is included by email for historical analysis and testing various stocks and time periods. What You Get: A Tremendous 3-in-1 Value! - A complete how to guide PLUS VBA Code and FAQs sections. - Detailed instructions on importing price data into Excel using a DDE link or Yahoo Finance. - Pre-built Backtesting Model in Excel with graphs and trade statistics for your historical analysis. Features & Benefits: - Learn to integrate Excel, VBA, formulas, and data sources into a profitable trading tool. - Acquire unique knowledge applicable to any Excel modeling or analysis project. - Save money by eliminating recurring software costs. - Calculate trading signals on a large number of stocks within seconds. Technical Requirements: - Microsoft Excel - 2 megabytes disk space (for files and stock data storage) - Intraday, daily, or weekly Open-High-Low-Close-Volume price data - Internet access

Author: Benjamin Van Vliet
Publisher: Elsevier
ISBN: 0080476252
Category : Business & Economics
Languages : en
Pages : 331

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Book Description
Over the next few years, the proprietary trading and hedge fund industries will migrate largely to automated trade selection and execution systems. Indeed, this is already happening. While several finance books provide C++ code for pricing derivatives and performing numerical calculations, none approaches the topic from a system design perspective. This book will be divided into two sections: programming techniques and automated trading system ( ATS ) technology and teach financial system design and development from the absolute ground up using Microsoft Visual C++.NET 2005. MS Visual C++.NET 2005 has been chosen as the implementation language primarily because most trading firms and large banks have developed and continue to develop their proprietary algorithms in ISO C++ and Visual C++.NET provides the greatest flexibility for incorporating these legacy algorithms into working systems. Furthermore, the .NET Framework and development environment provide the best libraries and tools for rapid development of trading systems. The first section of the book explains Visual C++.NET 2005 in detail and focuses on the required programming knowledge for automated trading system development, including object oriented design, delegates and events, enumerations, random number generation, timing and timer objects, and data management with STL.NET and .NET collections. Furthermore, since most legacy code and modeling code in the financial markets is done in ISO C++, this book looks in depth at several advanced topics relating to managed/unmanaged/COM memory management and interoperability. Further, this book provides dozens of examples illustrating the use of database connectivity with ADO.NET and an extensive treatment of SQL and FIX and XML/FIXML. Advanced programming topics such as threading, sockets, as well as using C++.NET to connect to Excel are also discussed at length and supported by examples. The second section of the book explains technological concerns and design concepts for automated trading systems. Specifically, chapters are devoted to handling real-time data feeds, managing orders in the exchange order book, position selection, and risk management. A .dll is included in the book that will emulate connection to a widely used industry API ( Trading Technologies, Inc.'s XTAPI ) and provide ways to test position and order management algorithms. Design patterns are presented for market taking systems based upon technical analysis as well as for market making systems using intermarket spreads. As all of the chapters revolve around computer programming for financial engineering and trading system development, this book will educate traders, financial engineers, quantitative analysts, students of quantitative finance and even experienced programmers on technological issues that revolve around development of financial applications in a Microsoft environment and the construction and implementation of real-time trading systems and tools. - Teaches financial system design and development from the ground up using Microsoft Visual C++.NET 2005 - Provides dozens of examples illustrating the programming approaches in the book - Chapters are supported by screenshots, equations, sample Excel spreadsheets, and programming code

Author: Edward Leshik
Publisher: John Wiley & Sons
ISBN: 1119975093
Category : Business & Economics
Languages : en
Pages : 273

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Book Description
Interest in algorithmic trading is growing massively – it’s cheaper, faster and better to control than standard trading, it enables you to ‘pre-think’ the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human ‘bandwidth’. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic trading is becoming the industry lifeblood. But it is a secretive industry with few willing to share the secrets of their success. The book begins with a step-by-step guide to algorithmic trading, demystifying this complex subject and providing readers with a specific and usable algorithmic trading knowledge. It provides background information leading to more advanced work by outlining the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where we are now and where we are going. The book then goes on to demonstrate a selection of detailed algorithms including their implementation in the markets. Using actual algorithms that have been used in live trading readers have access to real time trading functionality and can use the never before seen algorithms to trade their own accounts. The markets are complex adaptive systems exhibiting unpredictable behaviour. As the markets evolve algorithmic designers need to be constantly aware of any changes that may impact their work, so for the more adventurous reader there is also a section on how to design trading algorithms. All examples and algorithms are demonstrated in Excel on the accompanying CD ROM, including actual algorithmic examples which have been used in live trading.

Author: Robert Carver
Publisher: Harriman House Limited
ISBN: 085719500X
Category : Business & Economics
Languages : en
Pages : 247

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Book Description
This is not just another book with yet another trading system. This is a complete guide to developing your own systems to help you make and execute trading and investing decisions. It is intended for everyone who wishes to systematise their financial decision making, either completely or to some degree. Author Robert Carver draws on financial theory, his experience managing systematic hedge fund strategies and his own in-depth research to explain why systematic trading makes sense and demonstrates how it can be done safely and profitably. Every aspect, from creating trading rules to position sizing, is thoroughly explained. The framework described here can be used with all assets, including equities, bonds, forex and commodities. There is no magic formula that will guarantee success, but cutting out simple mistakes will improve your performance. You'll learn how to avoid common pitfalls such as over-complicating your strategy, being too optimistic about likely returns, taking excessive risks and trading too frequently. Important features include: - The theory behind systematic trading: why and when it works, and when it doesn't. - Simple and effective ways to design effective strategies. - A complete position management framework which can be adapted for your needs. - How fully systematic traders can create or adapt trading rules to forecast prices. - Making discretionary trading decisions within a systematic framework for position management. - Why traditional long only investors should use systems to ensure proper diversification, and avoid costly and unnecessary portfolio churn. - Adapting strategies depending on the cost of trading and how much capital is being used. - Practical examples from UK, US and international markets showing how the framework can be used. Systematic Trading is detailed, comprehensive and full of practical advice. It provides a unique new approach to system development and a must for anyone considering using systems to make some, or all, of their investment decisions.

Author: Eugene A. Durenard
Publisher: John Wiley & Sons
ISBN: 1118419294
Category : Business & Economics
Languages : en
Pages : 388

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Book Description
An insider's view of how to develop and operate an automated proprietary trading network Reflecting author Eugene Durenard's extensive experience in this field, Professional Automated Trading offers valuable insights you won't find anywhere else. It reveals how a series of concepts and techniques coming from current research in artificial life and modern control theory can be applied to the design of effective trading systems that outperform the majority of published trading systems. It also skillfully provides you with essential information on the practical coding and implementation of a scalable systematic trading architecture. Based on years of practical experience in building successful research and infrastructure processes for purpose of trading at several frequencies, this book is designed to be a comprehensive guide for understanding the theory of design and the practice of implementation of an automated systematic trading process at an institutional scale. Discusses several classical strategies and covers the design of efficient simulation engines for back and forward testing Provides insights on effectively implementing a series of distributed processes that should form the core of a robust and fault-tolerant automated systematic trading architecture Addresses trade execution optimization by studying market-pressure models and minimization of costs via applications of execution algorithms Introduces a series of novel concepts from artificial life and modern control theory that enhance robustness of the systematic decision making—focusing on various aspects of adaptation and dynamic optimal model choice Engaging and informative, Proprietary Automated Trading covers the most important aspects of this endeavor and will put you in a better position to excel at it.

Author: Keith Fitschen
Publisher: John Wiley & Sons
ISBN: 1118635612
Category : Business & Economics
Languages : en
Pages : 243

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Book Description
An award winning system developer explains how to create, test, and implement a profitable trading system Traders have long been drawn to the idea of translating their strategies and ideas into trading systems. While successful trading systems have been developed, in most cases, they work very well for a period of time in specific markets, but perform less well across all markets in all time frames. Nobody understands this better than author Keith Fitschen—a thought-leader in trading system development—and now, with Trading Strategy Generation + Website, he shares his extensive experience in this field with you. Trading Strategy Generation skillfully explains how to take market insights or trading ideas and develop them into a robust trading system. In it, Fitschen describes the critical steps a trader needs to follow, including: translating the market insight into a rules-based approach; determining entry and exit points; testing against historical data; and integrating money management and position sizing into the system. Written by an award winning system developer who has actively traded his systems for thirty years Introduces new ideas on money management and position sizing for different markets Details exactly what it takes to build, test, and implement a profitable technical trading system A companion Website contains supplementary material, including Excel spreadsheets designed to rate the strength of entry signals and provide money management guidance based on market volatility and portfolio correlations Written with the serious trader in mind, Trading Strategy Generation is an accessible guide to building a system that will generate realistic returns over time.

Author: Howard Bandy
Publisher:
ISBN: 9780979183836
Category :
Languages : en
Pages : 376

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Book Description

Author: Kendall Kim
Publisher: Academic Press
ISBN: 0080548865
Category : Computers
Languages : en
Pages : 224

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Book Description
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

Author: Yves Hilpisch
Publisher: O'Reilly Media
ISBN: 1492053325
Category : Computers
Languages : en
Pages : 380

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Book Description
Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms

Author: Kevin J. Davey
Publisher: John Wiley & Sons
ISBN: 1118778987
Category : Business & Economics
Languages : en
Pages : 294

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Book Description
Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns. With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas. A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.