Recent years have witnessed the advancement of automated algorithmic trading systems as institutional solutions in the form of autobots, black box or expert advisors. However, little research has been done in this area with sufficient evidence to show the efficiency of these systems. This paper builds an automated trading system which implements an optimized genetic-algorithm neural-network (GANN) model with cybernetic concepts and evaluates the success using a modified value-at-risk (MVaR) framework. The cybernetic engine includes a circular causal feedback control feature and a developed golden-ratio estimator, which can be applied to any form of market data in the development of risk-pricing models. The paper applies the Euro and Yen forex rates as data inputs. It is shown that the technique is useful as a trading and volatility control system for institutions including central bank monetary policy as a risk-minimizing strategy. Furthermore, the results are achieved within a 30-second timeframe for an intra-week trading strategy, offering relatively low latency performance. The results show that risk exposures are reduced by four to five times with a maximum possible success rate of 96%, providing evidence for further research and development in this area.

This book is not extensive by any means. There are many great books out there but this book is targeted at traders that seek inspiration for enhancing their trading methods. More importantly, this book is for anyone interested in trading as I have utilized mainly free software (FxPro Quant and MT4). Hence, anyone can read this book and learn from scratch to actually start trading with greater winning probabilities. Creating winning trading strategies is complex and hence automation is implemented, but maintaining an automated system can be tedious, and thus, my endeavor to build a self-learning and enhancing system otherwise known technically as a cybernetic system. The process in creating this book has really helped me solidify my ideas, and I sincerely hope for you as well.

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.

The team at Finamatrix has shown through real trading accounts that it is possible to produce superior returns i.e. 100% on a weekly to monthly basis with manual trading. However, the sustainability of the superior returns are subject to the limitations of human thinking processes that are prone to mistakes due to emotions, cognitive errors, etc. The human brain of an experienced trader is able to harness all the data available and convert this data into useful information in a very short time for profit but this is not a perfect process. We attempt to develop the holy grail of trading systems -- a completely self-learning and self-enhancing trading database system that learns from trader experience and is capable of a suite of functions, including not only recalling and implementing strategies when suitable conditions arise but also capable of adaptation and self-improvement. The system is able to execute continuous iterations and is able to convert errors into learning experiences so as to re-program previous bad trades to create good trades. The system also features learning from good trades and is able to modify and re-input the parameters so as to offer relatively more appropriate trading strategies that are able to produce better returns. These functions are potentially made possible through the utilization of genetic-optimization neural-networks in a risk cybernetics framework.

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.

The financial industry's leading independent research firm's forward-looking assessment into high frequency trading Once regarded as a United States-focused trend, today, high frequency trading is gaining momentum around the world. Yet, while high frequency trading continues to be one of the hottest trends in the markets, due to the highly proprietary nature of the computer transactions, financial firms and institutions have made very little available in terms of information or "how-to" techniques. That's all changed with The High Frequency Game Changer: How Automated Trading Strategies Have Revolutionized the Markets. In the book, Zubulake and Lee present an overview of how high frequency trading is changing the face of the market. The book Explains how we got here and what it means to traders and investors Details how to build a high frequency trading firm, including the relevant tools, strategies, and trading talent Defines key components common to HFT such as algorithms, low latency trading infrastructure, collocation etc. The High Frequency Game Changer takes a highly controversial and extremely complicated subject and makes it accessible to anyone with an interest or stake in financial markets.

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.