Ein Überblick über die aktuellsten Technologien zum Aufbau einer Handelsstrategie: neuronale Netzwerke, genetische Algorithmen, Expertensysteme, Fuzzy logic und statistische Mustererkennung. Gezeigt wird, wie diese neuen Methoden in klassische Analysenverfahren integriert werden können. Auch Erläuterungen zur Prüfung und Bewertung existierender Systeme kommen nicht zu kurz.
Featuring case studies from the industrial and tourism sectors, this book provides an interdisciplinary perspective on the effect of total quality management on business and innovation strategies. The principles of Total Quality Management (TQM) have been widely researched and analyzed as an essential tool for businesses to compete in a globalized economy. This book presents the latest research on the applications of TQM across different functions such as customer service, human resources management and cost control. It demonstrates how the utilization of TQM tools, such as the SERVQUAL model, Eco-Management and Audit Scheme (EMAS), High Involvement Practices (HIWP) and the EFQM excellence model, impacts a firm’s performance, enhances productivity and innovation and reduces cost, thereby allowing them to compete more effectively in the global market. Building on the extensive literature on the relationship between TQM and business performance, the authors argue that quality acts as a powerful competitive tool that companies should embrace in their corporate strategy. By promoting activities that result in greater efficiency, improved control and management of the organization (internal quality), firms can achieve significant improvement in customer satisfaction, employee satisfaction, social impact and business results (external quality) and exceed expectations in these areas.
Cutting-edge insight from the leader in trading technology In Cybernetic Analysis for Stocks and Futures, noted technical analyst John Ehlers continues to enlighten readers on the art of predicting the market based on tested systems. With application of his engineering expertise, Ehlers explains the latest, most advanced techniques that help traders predict stock and futures markets with surgical precision. Unique new indicators and automatic trading systems are described in text as well as Easy Language and EFS code. The approaches are universal and robust enough to be applied to a full range of market conditions. John F. Ehlers (Santa Barbara, CA) is President of MESA Software (www.mesasoftware.com) and has also written Rocket Science for Traders (0-471-40567-1) as well as numerous articles for Futures and Technical Analysis of Stocks & Commodities magazines.
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.
The first and only book of its kind, Automated Options Trading describes a comprehensive, step-by-step process for creating automated options trading systems. Using the authors' techniques, sophisticated traders can create powerful frameworks for the consistent, disciplined realization of well-defined, formalized, and carefully-tested trading strategies based on their specific requirements. Unlike other books on automated trading, this book focuses specifically on the unique requirements of options, reflecting philosophy, logic, quantitative tools, and valuation procedures that are completely different from those used in conventional automated trading algorithms. Every facet of the authors' approach is optimized for options, including strategy development and optimization; capital allocation; risk management; performance measurement; back-testing and walk-forward analysis; and trade execution. The authors' system reflects a continuous process of valuation, structuring and long-term management of investment portfolios (not just individual instruments), introducing systematic approaches for handling portfolios containing option combinations related to different underlying assets. With these techniques, it is finally possible to effectively automate options trading at the portfolio level. This book will be an indispensable resource for serious options traders working individually, in hedge funds, or in other institutions.
A brand new collection of state-of-the-art option trading techniques, from world-renowned experts Sergey Izraylevich and Vadim Tsudikman …now in a convenient e-format, at a great price! Leading-edge option trading techniques for serious investors, traders, and portfolio managers Writing for serious investors, traders, hedge fund managers, and quants, pioneering option experts Sergey Izraylevich and Vadim Tsudikman introduce important new techniques for maximizing option profits, controlling risk, and consistently identifying trades optimized for your goals and strategies.First, in Systematic Options Trading: Evaluating, Analyzing, and Profiting from Mispriced Option Opportunities, Izraylevich and Tsudikmanintroducereliable new ways to identify your best option combinations, underlying assets, and strategies. They treat the option market as a whole: an unlimited set of trading variants composed of all option combinations that can be constructed at any specific moment (using all possible strategies and underlying assets). Their powerful system permits thorough analysis and comparison of many option combinations in terms of both expected profitability and potential risk. It formalizes and classifies over a dozen criteria intended to select preferable trading alternatives from a vast quantity of potential opportunities, showing how to apply multiple valuation criteria concurrently to systematically identify subtle price distortions, and consistently select trades that meet optimal parameters. Next, in Automated Option Trading: Create, Optimize, and Test Automated Trading Systems, they present thefirst complete step-by-step guide to creating profitable automated systems for the disciplined realization of well-defined, formalized, and tested option strategies. Every facet of their approach is optimized for options, including strategy development, capital allocation, risk management, performance measurement, back-testing, walk-forward analysis; and trade execution. Their system incorporates continuous valuation, structuring and long-term management of investment portfolios (not just individual instruments), and can systematically handle option combinations related to different underlying assets — making it possible to finally automate options trading at the portfolio level. From world-renowned option trading experts Sergey Izraylevich, Ph.D. and Vadim Tsudikman
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.
This Palgrave Pivot innovatively combines new methods and approaches to building dynamic trading systems to forecast future price direction in today’s increasingly difficult and volatile financial markets. The primary purpose of this book is to provide a structured course for building robust algorithmic trading models that forecast future price direction. Chan provides insider information and insights on trading strategies; her knowledge and experience has been gained over two decades as a trader in foreign exchange, stock and derivatives markets. She guides the reader to build, evaluate, and test the predictive ability and the profitability of abnormal returns of new hybrid forecasting models.
This book shows traders how to use Intermarket Analysis to forecast future equity, index and commodity price movements. It introduces custom indicators and Intermarket based systems using basic mathematical and statistical principles to help traders develop and design Intermarket trading systems appropriate for long term, intermediate, short term and day trading. The metastock code for all systems is included and the testing method is described thoroughly. All systems are back tested using at least 200 bars of historical data and compared using various profitability and drawdown metrics.
This book constitutes the refereed proceedings of the four workshops that were organized in conjunction with the International Conference on Business Information Systems, BIS 2012, which took place in Vilnius, Lithuania, May 21-23, 2012. In addition, the papers from the Future Internet Symposium, which was organized in conjunction with BIS 2012, are also included. BIS workshops give researchers the opportunity to share their preliminary ideas and first experimental results, and discuss research hypotheses with a highly focused audience. The 24 papers were carefully reviewed and selected from 63 submissions and were revised and extended after the event. The workshop topics covered applications and economics of knowledge-based technologies (AKTB), business and IT alignment (BITA), enterprise systems for higher education (ESHE), and formal semantics for future enterprises (FSFE). In addition, one invited paper from BITA is also included in this volume.
