Develop a successful trading system and achieve extraordinary profits

"This is by far one of the best trading books to come along in a long time. It deals with specifics in market entry, exits, and stop placement in a simple, understandable approach. This is a well-defined trading plan that will benefit both the long-term and short-term stock trader. Buy it. You will not be disappointed."–John Hill, President, Futures Truth Co., coauthor, The Ultimate Trading Guide

In a straightforward, easy-to-follow format, John F. Clayburg divulges his techniques for identifying the major trends, determining the "trend within the trend," finding the optimal entry, and then choosing the right time to get out. More than just a guide to indicators, the book teaches investors how to observe, analyze, and recognize patterns that will help them make smart trading decisions, in any market.

Here are just some of the strategies covered:

• How to use and interpret indicators that are freely available on the Web
• How to develop an effective system
• How to use a simple early morning technique that will significantly increase the accuracy of your daily trading
• How to achieve your own optimal trading frequency
• How to interpret multiple indicators for optimum returns
• How to automate your system using commercially available software

Filled with useful, time-tested techniques that will never become obsolete, regardless of advances in technology, Four Steps to Trading Success is a must for any serious day trader looking to improve his or her track record.

This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions-a theory-then-application approach-where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic.

Building Flickr Applications with PHP teaches you how to use today's most popular online photo management system. You'll learn to work with both your own photos and Flickr's enormous cache, and create new and compelling extensions to the Flickr platform. This book is a great pick because It's written by experienced developer Rob Kunkle and Phlickr developer Andrew Morton. You'll learn how to use the PHP API Phlickr to write and retrieve photos. Flicker is growing quickly in popularity in the online photo management world. Using the popular PHP-driven Phlickr API in conjunction with MySQL, you'll discover how to take advantage of open source tools like PHP, Apache, and MySQL, as well as the Flickr architecture, to manage, retrieve, and format photos in imaginative ways. You'll also learn how to build upon Flickr's photo collaboration features to create interfaces for working with others on photo album projects. And you'll learn how to format Flickr tags--taking advantage of RSS to distribute photo updates.

This book presents a comprehensive collection of case studies on augmented reality and virtual realty (AR/VR) applications in various industries. Augmented reality and virtual reality are changing the business landscape, providing opportunities for businesses to offer unique services and experiences to their customers. The case studies provided in this volume explore business uses of the technology across multiple industries such as healthcare, tourism, hospitality, events, fashion, entertainment, retail, education and video gaming. The book includes solutions of different maturities as well as those from startups to large enterprises thereby providing a thorough view of how augmented reality and virtual reality can be used in business.

This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others. The first chapters of the text focus on analyzing variability, probability models, and distribution functions. Next, the authors introduce statistical inference and bootstrapping, and variability in several dimensions and regression models. The text then goes on to cover sampling for estimation of finite population quantities and time series analysis and prediction, concluding with two chapters on modern data analytic methods. Each chapter includes exercises, data sets, and applications to supplement learning. Modern Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. Because of the foundational nature of the text, it can be combined with any program requiring data analysis in its curriculum, such as courses on data science, industrial statistics, physical and social sciences, and engineering. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Industrial Statistics: A Computer-Based Approach with Python. It covers topics such as statistical process control, including multivariate methods, the design of experiments, including computer experiments and reliability methods, including Bayesian reliability. These texts can be used independently or for consecutive courses. The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/ModernStatistics/ "In this book on Modern Statistics, the last two chapters on modern analytic methods contain what is very popular at the moment, especially in Machine Learning, such as classifiers, clustering methods and text analytics. But I also appreciate the previous chapters since I believe that people using machine learning methods should be aware that they rely heavily on statistical ones. I very much appreciate the many worked out cases, based on the longstanding experience of the authors. They are very useful to better understand, and then apply, the methods presented in the book. The use of Python corresponds to the best programming experience nowadays. For all these reasons, I think the book has also a brilliant and impactful future and I commend the authors for that." Professor Fabrizio RuggeriResearch Director at the National Research Council, ItalyPresident of the International Society for Business and Industrial Statistics (ISBIS)Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)

This book provides the foundation and understanding necessary for proper design of databases for today's distributed and multi-database architectures. Introductory chapters help novices understand essential topics such as SQL, relational databases, transaction processing, and deadlock detection, while subsequent sections dealing with homogeneous, distributed databases, heterogeneous multi-databases, and federated databases enable readers to understand the complexities of distributed database design. Packed with over 200 illustrations, 50 equations, and two full chapters of examples.

More than any other entertainment medium, video games offer the chance for us to participate in a world beyond the ordinary. Whether you are playing as a supersonic hedgehog, an athletic archeologist, or a moustachioed Italian plumber, video games allow their players to inhabit spaces where the usual parameters of existence do not apply. The medium's history is chronicled through the individual stories of 151 of the most iconic video games. Beginning in the early 1970s, the book charts five decades of the pixel revolution. The story of each game is accompanied by trivia and quotations, and illustrated with photographs, screenshots and artwork. This celebratory reference, and up-to-date history, will enthral any video games aficionado. - Chronicles the history of gaming through an analysis of151 of the world's most-iconic and best-loved games - Expert analysis of the story of each game, accompanied . by fascinating trivia, memorable quotes, and information on the year of publication and where the game can be played today - Includes titles across all platforms, including arcade, console, PC, online and handheld games - Charts five decades of video game evolution, from Computer Space to Fortnite - Compulsively illustrated with over 1000 action screenshots, game artworks and photographs

This monograph describes an innovative prototyping framework for data and knowledge intensive systems. The proposed approach will prove especially useful for advanced and research-oriented projects that aim to develop a traditional database perspective into fully-fledged advanced database approaches and knowledge engineering technologies. The book is organised in two parts. The first part, comprising chapters 1 to 4, provides an introduction to the concept of prototyping, to database and knowledge-based technologies, and to the main issues involved in the integration of data and knowledge engineering. The second part, comprising chapters 5 to 12, illustrates the proposed approach in technical detail. Audience: This volume will be of interest to researchers in the field of databases and knowledge engineering in general, and for software designers and knowledge engineers who aim to expand their expertise in data and knowledge intensive systems.

This book reports on interdisciplinary research and practices in communication, interior, fashion and product design, highlighting strategies for systematizing the design approach in a global, digital world. It gathers a selection of chapters written by the authors of the best articles presented at the 7th EIMAD conference, held online on May 14-15, 2020, from Portugal. The works were chosen for their particular link to contemporary concerns in terms of identity, health and well-being, social inclusion, sustainability, education and environment and, among others. They cover and bridges between important aspects of design education, research and practice, as well as creativity and emerging technology, offering a timely perspective and a source of inspiration to researchers, professionals and educators in design, product development and related fields.

This "hands-on" book is for people who are interested in immediately putting Maple to work. The reader is provided with a compact, fast and surveyable guide that introduces them to the extensive capabilities of the software. The book is sufficient for standard use of Maple and will provide techniques for extending Maple for more specialized work. The author discusses the reliability of results systematically and presents ways of testing questionable results. The book allows a reader to become a user almost immediately and helps him/her to grow gradually to a broader and more proficient use. As a consequence, some subjects are dealt with in an introductory way early in the book, with references to a more detailed discussion later on.

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.

This book discusses quantum theory as the theory of random (Brownian) motion of small particles (electrons etc.) under external forces. Implying that the Schroedinger equation is a complex-valued evolution equation and the Schroedinger function is a complex-valued evolution function, important applications are given. Readers will learn about new mathematical methods (theory of stochastic processes) in solving problems of quantum phenomena. Readers will also learn how to handle stochastic processes in analyzing physical phenomena.

This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This book is intended for econometrics and statistics postgraduates, professors and researchers in economics departments, business schools, statistics departments, or any research centre in the same fields, especially econometricians.

Whether you're a computer rookie or hot shot, you can master Microsoft (R) Office 2016 applications quickly with ILLUSTRATED MICROSOFT (R) OFFICE 2016 & OFFICE 365 INTRODUCTORY, part of the popular Illustrated Series. Using a focused, user-friendly format, a two-page layout allows you to work through an entire task without turning the page. The book's easy to follow presentation highlights Learning Outcomes that outline the skills in each lesson. Larger full-color screen images reflect exactly what you should see on your own computer. Each module begins with a brief overview of the principles of the lesson and introduces a case study for further application. New Productivity Apps visually introduce Microsoft (R) OneNote, Sway, Office Mix and Edge using fun, hands-on activities. Companion Sways provide videos and step-by-step instructions to help you master each app. In addition, MindTap and SAM help you further focus your study for results now and success later on the job.

Multimedia Document Systems in Perspectives brings together in one place important contributions and up-to-date research results in this fast moving area. Multimedia Document Systems in Perspectives serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Get a firm grip on one of the most popular project management applications on the market today In Microsoft Project Fundamentals: Microsoft Project Standard 2021, Professional 2021, and Project Online Editions, accomplished project management leader Teresa Stover delivers a hands-on introduction to Microsoft's popular project management software filled with real-world examples and plain-language guidance. The book walks you through how to plan, schedule, manage resources, track progress, and more. In the book, you'll: Learn principles and best practices of project management while mastering Microsoft Project capabilities, calculations, and views Understand how task durations, dependencies, and date constraints power the project schedule Manage human, equipment, and material resources, including availability, cost, and task assignments Adjust the project to optimize for the project finish date, budget, and resource allocation Use Microsoft Project to manage waterfall or agile projects Ideal for anyone seeking to unlock the potential of Microsoft's leading project management software for their own project work, Microsoft Project Fundamentals is an essential resource for those new to Microsoft Project and project management, as well as previous users and seasoned project professionals looking for a refresher in the latest features of the newest version of Microsoft Project.

COOP 2010 is the 9th edition of the International Conference on Designing Cooperative Systems, being the second European conference in the field of Computer Supported Cooperative Work after ECSCW. The conference brings together researchers who contribute to the analysis and design of cooperative systems and their integration in organizational community, public and other settings, and their implications for policy and decision making. Cooperative systems design requires a deep understanding of collective activities, involving both artifacts and social practices. Contributions are solicited from a wide range of domains contributing to the fields of cooperative systems design and evaluation: CSCW, HCI, Information Systems, Knowledge Engineering, Multi-agents, organizational and management sciences, sociology, psychology, anthropology, ergonomics, linguistics.

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem-oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks. Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.

Over the past thirty years, with improvements in optics, electronics, and computer technology, great strides have been made in the quantitative analysis of the visual system. A number of books on eye movement research have been written that have dealt with specific aspects of either eye movement control. However, none of these books provide a comprehensive overview of multiple aspects of the visual system. Moreover, few of these books contain modeling and detailed quantitative analyses of the visual system. Further, since the major books are almost ten years old, there is a need for an update to include the most recent research findings. It is with these considerations in mind that we have carefully compiled this updated, comprehensive, and quantitative model-based edited book on various components of the visual system. Some of the best vision scientists in the world in their respective fields have contributed to chapters in this book. They have expertise in a wide variety of fields, including bioengineering, basic and clinical visual science, medicine, neurophysiology, optometry, and psychology. Their combined efforts have resulted in a high quality book that covers modeling and quantitative analysis of optical, neurosensory, oculomotor, perceptual and clinical systems. It includes only those techniques and models that have such fundamentally strong physiological, control system, and perceptual bases that they will serve as foundations for models and analysis techniques in the future. The book is aimed first towards seniors and beginning graduate students in biomedical engineering, neurophysiology, optometry, and psychology, who will gain a broad understanding of quantitative analysisof the visual system. In addition, it has sufficient depth in each area to be useful as an updated reference and tutorial for graduate and post-doctoral students, as well as general vision scientists.

The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product

The COVID-19 pandemic affected a wide range of global sectors, but one of the most important is education. The transition from classroom to computer screen was a difficult one for many Asian students, parents, and teachers. Since this transition, global education systems now mostly depend on online technology. It is crucial that the impact of the pandemic on education is not only examined from a Western point of view, but also from Eastern perspectives. The Handbook of Research on Asian Perspectives of the Educational Impact of COVID-19 provides the current issues the education sector is facing in the aftermath of the COVID-19 pandemic. This book investigates the issues and challenges the education sector is facing as well as the future directions needed to provide education in a more effective way. Covering topics such as academic perspectives, university-level employees, and leadership challenges, this book is a dynamic resource for students, teachers, pre-service teachers, school administrators, education providers, faculty, researchers, policymakers, and academicians.