Technical analysis is defined as the tracking and prediction of asset price movements using charts and graphs in combination with various mathematical and statistical methods. More precisely, it is the quantitative criteria used in predicting the relative strength of buying and selling forces within a market to determine what to buy, what to sell, and when to execute trades. This book introduces simple technical analysis tools like moving averages and Bollinger bands, and also advanced techniques such as wavelets and empirical mode decomposition. It first discusses some traditional tools in technical analysis, such as trend, trend Line, trend channel, Gann's Theory, moving averages, and Bollinger bands. It then introduces a recent indicator developed for stock market and two recent techniques used in the technical analysis field: wavelets and the empirical mode decomposition in financial time series. The book also discusses the theory to test the performance of the indicators and introduces the MATLAB Financial Toolbox, some of the functions/codes of which are used in our numerical experiments.

This book presents a roundup of tools in technical analysis. The major targeted readers are university undergraduates and investors who want to have a basic understanding of the nuts and bolts related to technical analysis. The book first discusses some basic and traditional tools and then moves on to study the more advanced mathematical techniques, like neural network and program trading.

"This 4-volume set provides a compendium of comprehensive advanced research articles written by an international collaboration of experts involved with the strategic use of information systems"--Provided by publisher.

Foodservice industry operators today must concern themselves with the evolution of food preparation and service and attempt to anticipate demands and related industry changes such as the supply chain and resource acquisition to not only meet patrons' demands but also to keep their competitive advantage. From a marketing standpoint, the trend toward a more demanding and sophisticated patron will continue to grow through various factors including the promotion of diverse food preparation through celebrity chefs, mass media, and the effect of globalization. From an operational standpoint, managing and controlling the business continues to serve as a critical success factor. Maintaining an appropriate balance between food costs and labor costs, managing employee turnover, and focusing on food/service quality and consistency are fundamental elements of restaurant management and are necessary but not necessarily sufficient elements of success. This increasing demand in all areas will challenge foodservice operators to adapt to new technologies, to new business communication and delivery systems, and to new management systems to stay ahead of the changes. Strategic International Restaurant Development: From Concept to Production explains the world of the food and beverage service industry as well as industry definitions, history, and the status quo with a look towards current challenges and future solutions that can be undertaken when developing strategic plans for restaurants. It highlights trends and explains the logistics of management and its operation. It introduces the basic principles for strategies and competitive advantage in the international context. It discusses the food and beverage management philosophy and introduces the concept of food and beverage service entrepreneurship, restaurant viability, and critical success factors involved in a foodservice business venture. Finally, it touches on the much-discussed topic of the food and beverage service industry and sustainable development. This book is ideal for restaurateurs, managers, entrepreneurs, executives, practitioners, stakeholders, researchers, academicians, and students interested in the methods, tools, and techniques to successfully manage, develop, and run a restaurant in the modern international restaurant industry.

Master the Fundamentals of Data Analytics at Scale KEY FEATURES ● Comprehensive guide to constructing data engineering workflows spanning diverse data sources ● Expert techniques for transforming and visualizing data to extract actionable insights ● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns DESCRIPTION Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence. WHAT WILL YOU LEARN ● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats. ● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis. ● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights. ● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights. ● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights. WHO IS THIS BOOK FOR? This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks. TABLE OF CONTENTS 1. Introduction to Data Analytics and AWS 2. Getting Started with AWS 3. Collecting Data with AWS 4. Processing Data on AWS 5. Descriptive Analytics on AWS 6. Advanced Data Analysis on AWS 7. Additional Use Cases for Data Analysis 8. Data Visualization and Interaction on AWS 9. The Future of Data Analytics 10. Conclusion and Next Steps Index

As the field of FinTech continues its progress, financial institutions must not only enhance their digitization, but also make serious efforts to understand the resulting new opportunities it creates. In line with these developments, TABF has published the book Basic knowledge on FinTech, which was designed by us as a reference for the FinTech Knowledge Test. Co-authored by TABF staff and other experts, it features balanced and credible analysis, avoiding trivia and overly complex concepts while emphasizing readability. The content structure is based on the World Economic Forum (WEF)'s roadmap for FinTech development, adding in TABF's research findings plus other domestic and international trends and practices. Not only is Basic knowledge on FinTech suitable for financial proficiency testing, but it can also be used as a textbook in university courses, supplementing theoretical knowledge with up-to-date practical knowledge in this rapidly changing field.

Compiled by more than 300 of the world's leading professionals, visionaries, writers and educators, this is THE first-stop reference resource and knowledge base for finance. QFINANCE covers an extensive range of finance topics with unique insight, authoritative information, practical guidance and thought-provoking widsom. Unmatched for in-depth content, QFINANCE contains more than 2 million words of text, data analysis, critical summaries and bonus online content. Created by Bloomsbury Publishing in association with the Qatar Financial Centre (QFC) Authority, QFINANCE is the expert reference resource for finance professionals, academics, students, journalists and writers. QFINANCE: The Ultimate Resource Special Features: Best Practice and Viewpoint Essays – Finance leaders, experts and educators address how to resolve the most crucial issues and challenges facing business today. Finance Checklists – Step-by-step guides offer problem-solving solutions including hedging interest-rate risk, governance practices, project appraisal, estimating enterprise value and managing credit ratings. Calculations and Ratios – Essential mathematical tools include how to calculate return on investment, return on shareholders’ equity, working capital productivity, EVA, risk-adjusted rate of return, CAPM, etc. Finance Thinkers and Leaders – Illuminating biographies of 50 of the leading figures in modern finance including Joseph De La Vega, Louis Bachelier, Franco Modigliani, Paul Samuelson, and Myron Scholes Finance Library digests –Summaries of more than 130 key works ranging from “Against the Gods” to “Portfolio Theory & Capital Markets” and “The Great Crash”. Country and Sector Profiles – In-depth analysis of 102 countries and 26 sectors providing essential primary research resource for direct or indirect investment. Finance Information Sources – A select list of the best resources for further information on finance and accounting worldwide, both in print and online, including books, journal articles, magazines, internet, and organizations Finance Dictionary – A comprehensive jargon-free, easy-to-use dictionary of more than 9,000 finance and banking terms used globally. Quotations – More than 2,000 business relevant quotations. Free access to QFinance Online Resources (www.qfinance.com): Get daily content updates, podcasts, online events and use our fully searchable database.