Download or read book Stock Market Intelligence written by Jeff Luke and published by Independently Published. This book was released on 2018-03-20 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to invest in stocks like Adobe, Amazon, Apple, Facebook, Google, Netflix, Nvidia, or any other fast-growing company. This book teaches you a stock selection system that shows you if a stock makes sense. Old methods of stock-picking worked for years when businesses changed slowly. In the days of Coca Cola, Sears, McDonald's and Walmart things moved slowly and traditional methods of valuing companies worked well. Those were the days before the Internet, Amazon, Google, and iPhones. Today's companies innovate rapidly, and if you want to invest in these companies you can't only use old metrics like P/E, P/B, or PEG ratios. We now live in the age of Alexa, Nvidia GPUs, Instagram, iPhones and Tesla. Today's companies invent fast, and you need fast, sharp, precise tools to give you a decision-making edge. Stock Market Intelligence teaches you the "high-quality" and "high velocity" decision-making strategies that Jeff Bezos uses with his leadership team at Amazon, and it shows you how to apply them to your own stock decisions. Learn the smart way to pick great stocks. You got this.
Download or read book The Handbook of Market Intelligence written by Hans Hedin and published by John Wiley & Sons. This book was released on 2014-06-30 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important update to this roadmap for the development of a corporate intelligence program Market intelligence is the distinct discipline by which organisations systematically gather and process information about their external operating environment in order to facilitate accurate and confident decision making that is based on insight. For companies to thrive in the global post-recession marketplace, their management needs future-oriented business information. The Handbook of Market Intelligence provides a one stop shop, step-by-step roadmap for establishing, conducting and further developing corporate intelligence programs within an organisation and then shows how organisations can turn market data into actionable insights. • Full of best practice advice from hundreds of real-life international case studies • Outlines the anticipated future trends in Strategic Market Intelligence based on unique global survey data • Provides guidance on extracting relevant, useful and accurate market information that can be used for successful business development
Download or read book Stock Market Intelligence Analysis written by Cameron Sae and published by . This book was released on 2020-09-15 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do others always make money in the stock market, but they fail repeatedly? Why others, can be fried from silk into successful people, but they are still silk? The road of stock speculation is always full of doubts, the stock god taught you how to speculate so that your path to stock speculation more successful. The book content from shallow deep, easy to understand, detailed explanation, easy to learn, is the best choice for stock investors. The book combines the author's 20 years of fund management experience to help you analyze the stock market, master the laws of the stock market so that your investment risk is smaller, the investment success rate is higher. This book will protect your stock investments.
Download or read book The Research Driven Investor written by Timothy Hayes and published by McGraw-Hill Companies. This book was released on 2001 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The editor of "Investment Strategy" shows how individual investors can access institutional-quality tools, data, and indicators and consistently beat the market. Hayes presents walk-through examples of a wide variety of investment models based on more than 100 years of stock market data and research from Ned Davis Research to achieve top results. 120 illustrations. 60 tables.
Download or read book Data Driven Investing written by Mitchell R. Hardy and published by COGNITION CAPITAL MANAGEMEN. This book was released on 2004 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Encyclopedia of Stock Market Techniques written by and published by . This book was released on 1963 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Investment Intelligence from Insider Trading written by H. Nejat Seyhun and published by MIT Press. This book was released on 2000-02-28 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to profit from information about insider trading. The term insider trading refers to the stock transactions of the officers, directors, and large shareholders of a firm. Many investors believe that corporate insiders, informed about their firms' prospects, buy and sell their own firm's stock at favorable times, reaping significant profits. Given the extra costs and risks of an active trading strategy, the key question for stock market investors is whether the publicly available insider-trading information can help them to outperform a simple passive index fund. Basing his insights on an exhaustive data set that captures information on all reported insider trading in all publicly held firms over the past twenty-one years—over one million transactions!—H. Nejat Seyhun shows how investors can use insider information to their advantage. He documents the magnitude and duration of the stock price movements following insider trading, determinants of insiders' profits, and the risks associated with imitating insider trading. He looks at the likely performance of individual firms and of the overall stock market, and compares the value of what one can learn from insider trading with commonly used measures of value such as price-earnings ratio, book-to-market ratio, and dividend yield.
Download or read book The Philadelphia Stock Exchange and the City It Made written by Domenic Vitiello and published by University of Pennsylvania Press. This book was released on 2010-04-14 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Philadelphia Stock Exchange and the City It Made recounts the history of America's first stock exchange and the ways it shaped the growth and decline of the city around it. Founded in 1790, the Philadelphia Stock Exchange, its member firms, and the companies they financed had profound impacts on the city's place in the world economy. At its start, the exchange and its members helped spur the development of the early United States, its financial sector, and its westward expansion. During the nineteenth century, they invested in making Philadelphia the center of industrial America, raising capital for the railroads and coal mines that connected cities to one another and built a fossil fuel-based economy. After financing the Civil War, they underwrote the growth of the modern metropolis, its transportation infrastructure, utility systems, and real estate development. At the turn of the twentieth century, stagnation of the exchange contributed to Philadelphia's loss of power in the national and world economy. This original interpretation of the roots of deindustrialization holds important lessons for other cities that have declined. The exchange's revival following World War II is a remarkable story, but it also illustrates the limits of economic development in postindustrial cities. Unlike earlier eras, the exchange's fortunes diverged from those of the city around it. Ultimately, it became part of a larger, global institution when it merged with NASDAQ in 2008. Far more than a history of a single institution, The Philadelphia Stock Exchange and the City It Made traces the evolving relationship between the exchange and the city. For people concerned with cities and their development, this study offers a long-term history of the public-private partnerships and private sector-led urban development popular today. More generally, it traces the networks of firms and institutions revealed by the securities market and its participants. Herein lies a critical and understudied part of the history of metropolitan economic development.
Download or read book Internet Stock Trading and Market Research for the Small Investor written by Paul M. Moubarak and published by iUniverse. This book was released on 2012-06 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet Stock Trading and Market Research for the Small Investor presents a fresh perspective on online trading that eliminates the prerequisite of technical charting, and simplifies the formulation of buying and selling positions down to a fundamental interpretation of corporate news that drives the market. The first part of the book introduces novice traders to basic market dynamics and terminologies, and exposes them to online trade regulations and web resources where market information can be accessed to formulate short-term daily trading positions. The investment strategies recommended in this book target the growing trend of online investors, including short-term and first-time traders who don't employ technical analysis as a trading compass. In the second part, Internet Stock Trading and Market Research for the Small Investor offers individual market researchers an alternative software tool to financial database subscriptions called SMART, which provides free access to discrete-time market data necessary for technical analysis. This combination of the trading and research aspects of the stock market leaves you with an encompassing introduction to the market dynamics, and to the sensible investment strategies that maximize profit from short-term positions in an environment of financial volatility.
Download or read book Market Intelligence written by Martin Callingham and published by Kogan Page Publishers. This book was released on 2004 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this title is to examine the client-side perspective of market research and describe the pitfalls and problems when commissioning, briefing and using market research.
Download or read book The New Encyclopedia of Stock Market Techniques written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Irrational Exuberance written by Robert J. Shiller and published by Scribe Publications. This book was released on 2000 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: No Marketing Blurb
Download or read book Applied Quantitative Finance written by Mauricio Garita and published by Springer Nature. This book was released on 2021-09-03 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and interpret results. This book offers practical applications in the field of finance concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of finance as it gives a descriptive process for students, academics and practitioners.
Download or read book The Inefficient Stock Market written by Robert A. Haugen and published by Pearson. This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sparked with wit and humor, this clever and insightful book provides clear evidence that the stock market is inefficient. In the author's view, models based on rational economic behavior cannot explain important aspects of market behavior. The book tackles important issues in today's financial market in a highly conversational and entertaining manner that will appeal to most readers. Chapter topics include: estimating expected return with the theories of modern finance, estimating portfolio risk and expected return with ad hoc factor models, payoffs to the five families, predicting future stock returns with the expected-return factor model, super stocks and stupid stocks, the international results, the topography of the stock market, the positive payoffs to cheapness and profitability, the negative payoff to risk, and the forces behind the technical payoffs to price-history. For anyone who wants to learn more about today's financial markets.
Download or read book Computational Science ICCS 2001 written by Vassil Alexandrov and published by Springer Science & Business Media. This book was released on 2001-05-24 with total page 1068 pages. Available in PDF, EPUB and Kindle. Book excerpt: LNCS volumes 2073 and 2074 contain the proceedings of the International Conference on Computational Science, ICCS 2001, held in San Francisco, California, May 27-31, 2001. The two volumes consist of more than 230 contributed and invited papers that reflect the aims of the conference to bring together researchers and scientists from mathematics and computer science as basic computing disciplines, researchers from various application areas who are pioneering advanced application of computational methods to sciences such as physics, chemistry, life sciences, and engineering, arts and humanitarian fields, along with software developers and vendors, to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research, as well as to help industrial users apply various advanced computational techniques.
Download or read book Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation written by Tiago Martins and published by Springer Nature. This book was released on 2021-07-08 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is based on a template using a grid of weights with a fixed size. The template takes in consideration not only the closing price but also the open, high, and low values of the price during the period under testing in contrast to the traditional methods of analysing only the closing price. Each cell of the grid encompasses a score, and these are optimized by an evolutionary genetic algorithm that takes genetic diversity into consideration through a speciation routine, giving time for each individual of the population to be optimized within its own niche. With this method, the system is able to present better results and improves the results compared with other template approaches. The tests considered real data from the stock market and against state-of-the-art solutions, namely the ones using a grid of weights which does not have a fixed size and non-speciated approaches. During the testing period, the presented solution had a return of 21.3% compared to 10.9% of the existing approaches. The use of speciation was able to increase the returns of some results as genetic diversity was taken into consideration.
Download or read book Deep Learning Tools for Predicting Stock Market Movements written by Renuka Sharma and published by John Wiley & Sons. This book was released on 2024-05-14 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.
