This book is a compilation of 60 days of technical analysis done on Nifty50 and BankNifty Indices. The period under study is October to December i.e. Quarter 3 of Financial Year 2023-24. The strategies deployed, their outcomes, corrections & and feedback are captured in each day's work. Almost all the strategies are reaction-based rather than prediction-based. Based on the analysis a possible best-case and worst-case scenario is outlined for the next day's price action.
"There are fifteen major breakthroughs in technical analysis! SEVEN of these breakthroughs are new, never-before-revealed material!" - George Lane, Stochastics Originator. As professional traders approach the 21st century, accelerating technological change threatens to make conventional technical studies and indicators ineffective. To compete in this changing environment, these professionals need radical new uses and combinations of indicators and formulas to keep their competitive edge. Not a primer for the novice, TECHNICAL ANALYSIS FOR THE TRADING PROFESSIONAL resets the scales, arming today's professional trader with new, unique, and never-before-seen formulas and uses of key market indicators and techniques.
Martin Pring's book is the first in-depth look at the subject of market momentum and is heavily illustrated with graphs and charts that provide visual examples of every theory and concept relating to investments and the markets
Obsidian is an innovative app for working with ideas, striving to serve as your second brain. That's an ambitious goal and Obsidian is an ambitious app, which has seen its popularity grow leaps and bounds over the past year. This book brings together tips from Expert Obsidian users who've tweaked and finessed their note-taking and sense-making process in Obsidian. In this book, you'll learn how to: * Learn for the long term by focusing on concepts rather than traditional notes; * Push your creative juices by discovering connections between concepts; * Manage a publishing workflow using a Kanban board, from capturing initial ideas to developing these through to completion; * Plan and organize your day in Obsidian, tracking your regular work and documenting your creative journey; * Work efficiently in Obsidian with shortcuts, templates and several plugins to boost your creative process. This book presents Experts' use of Obsidian. For a ground-up understanding of key concepts and techniques in Obsidian, pick up the related book "Master Obsidian Quickly - Boost Your Learning & Productivity with a Free, Modern, Powerful Knowledge Toolkit" by the same author.
When I wrote TRUTH OF THE STOCK TAPE in 1923, it was because there was a demand for a book of that kind. People needed the help that I could give them and the benefit of my experience and knowledge. In that book I gave the best I had and received my reward. People appreciated my efforts. They bought the book then and they are still buying it. They say it is a good book and more than worth the money. That is very gratifying to me. After the 1929 bull market culminated there was a demand for a new book to meet changed conditions under the so-called “New Era,” so I wrote WALL STREET STOCK SELECTOR in the spring of 1930. I gave freely of my knowledge and the benefit of years of experience. This book helped others to protect their principal and make profits. People who read the book pronounced it one of the best. It is still selling, and again I have been rewarded. No man can learn all there is to know about forecasting the trend of stocks in 3, 5, 10, or 20 years, but if he is a deep student and hard worker, he learns more and knowledge comes easier after years of experience. I knew more about determining the trend of stocks in 1923 than I did in 1911. Seven more years of experience gave me more knowledge and enabled me to write the WALL STREET STOCK SELECTOR in 1930 and give my readers the benefit of my increased knowledge. Now, after five more years have elapsed, my experience and practical test of new rules have enabled me to learn more of value since 1930. The 1929-1932 panic and what has followed since, gave me valuable experience and I have gained more knowledge about detecting the right stocks to buy and sell. I cannot lose if I pass this knowledge on to those who will appreciate it.
Global capital markets have undergone fundamental transformations in recent years and, as a result, have become extraordinarily complex and opaque. Trading space is no longer measured in minutes or seconds but in time units beyond human perception: milliseconds, microseconds, and even nanoseconds. Technological advances have thus scaled up imperceptible and previously irrelevant time differences into operationally manageable and enormously profitable business opportunities for those with the proper high-tech trading tools. These tools include the fastest private communication and trading lines, the most powerful computers and sophisticated algorithms capable of speedily analysing incoming news and trading data and determining optimal trading strategies in microseconds, as well as the possession of gigantic collections of historic and real-time market data. Fragmented capital markets are also becoming a rapidly growing reality in Europe and Asia, and are an established feature of U.S. trading. This raises urgent market governance issues that have largely been overlooked. Global Algorithmic Capital Markets seeks to understand how recent market transformations are affecting core public policy objectives such as investor protection and reduction of systemic risk, as well as fairness, efficiency, and transparency. The operation and health of capital markets affect all of us and have profound implications for equality and justice in society. This unique set of chapters by leading scholars, industry insiders, and regulators discusses ways to strengthen market governance for the benefit of society at whole.
Criticism of the present economic system of the USA and proposals for comprehensive economic policy reform - covers the general economic theory of advanced economic development, consumption, and the concept of the household, the market system in relation to the service sector and the self employed, economic planning, price policy, inflation, income distribution, fiscal policy, the environment, technological change, the role of women, etc.
Explore the infinite possibilities offered by Artificial Intelligence and Neural Networks KEY FEATURES ● Covers numerous concepts, techniques, best practices and troubleshooting tips by community experts. ● Includes practical demonstration of robust deep learning prediction models with exciting use-cases. ● Covers the use of the most powerful research toolkit such as Python, PyTorch, and Neural Network Intelligence. DESCRIPTION This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction models using PyTorch. The readers will learn the fundamentals of PyTorch in the early stages of the book. Next, the time series forecasting is covered in greater depth after the programme has been developed. You will try to use machine learning to identify the patterns that can help us forecast the future results. It covers methodologies such as Recurrent Neural Network, Encoder-decoder model, and Temporal Convolutional Network, all of which are state-of-the-art neural network architectures. Furthermore, for good measure, we have also introduced the neural architecture search, which automates searching for an ideal neural network design for a certain task. Finally by the end of the book, readers would be able to solve complex real-world prediction issues by applying the models and strategies learnt throughout the course of the book. This book also offers another great way of mastering deep learning and its various techniques. WHAT YOU WILL LEARN ● Work with the Encoder-Decoder concept and Temporal Convolutional Network mechanics. ● Learn the basics of neural architecture search with Neural Network Intelligence. ● Combine standard statistical analysis methods with deep learning approaches. ● Automate the search for optimal predictive architecture. ● Design your custom neural network architecture for specific tasks. ● Apply predictive models to real-world problems of forecasting stock quotes, weather, and natural processes. WHO THIS BOOK IS FOR This book is written for engineers, data scientists, and stock traders who want to build time series forecasting programs using deep learning. Possessing some familiarity of Python is sufficient, while a basic understanding of machine learning is desirable but not needed. TABLE OF CONTENTS 1. Time Series Problems and Challenges 2. Deep Learning with PyTorch 3. Time Series as Deep Learning Problem 4. Recurrent Neural Networks 5. Advanced Forecasting Models 6. PyTorch Model Tuning with Neural Network Intelligence 7. Applying Deep Learning to Real-world Forecasting Problems 8. PyTorch Forecasting Package 9. What is Next?
