Forecasting Stock Prices Trends

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The Nature of Statistical Learning Theory

Author : Vladimir Vapnik
Publisher : Springer Science & Business Media
ISBN 13 : 1475732643
Total Pages : 324 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis The Nature of Statistical Learning Theory by : Vladimir Vapnik

Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Advanced Data Mining and Applications

Author : Shuigeng Zhou
Publisher : Springer Science & Business Media
ISBN 13 : 3642355277
Total Pages : 812 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advanced Data Mining and Applications by : Shuigeng Zhou

Download or read book Advanced Data Mining and Applications written by Shuigeng Zhou and published by Springer Science & Business Media. This book was released on 2012-12-09 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

How can I get started Investing in the Stock Market

Author : Lokesh Badolia
Publisher : Educreation Publishing
ISBN 13 :
Total Pages : 63 pages
Book Rating : 4./5 ( download)

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Book Synopsis How can I get started Investing in the Stock Market by : Lokesh Badolia

Download or read book How can I get started Investing in the Stock Market written by Lokesh Badolia and published by Educreation Publishing. This book was released on 2016-10-27 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is well-researched by the author, in which he has shared the experience and knowledge of some very much experienced and renowned entities from stock market. We want that everybody should have the knowledge regarding the different aspects of stock market, which would encourage people to invest and earn without any fear. This book is just a step forward toward the knowledge of market.

Forecasting Stock Prices

Author : Luna Tjung
Publisher : Lulu.com
ISBN 13 : 0557601118
Total Pages : 83 pages
Book Rating : 4.5/5 (576 download)

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Book Synopsis Forecasting Stock Prices by : Luna Tjung

Download or read book Forecasting Stock Prices written by Luna Tjung and published by Lulu.com. This book was released on with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Time Series Analysis and Its Applications

Author : Robert H. Shumway
Publisher :
ISBN 13 : 9781475732627
Total Pages : 568 pages
Book Rating : 4.7/5 (326 download)

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Book Synopsis Time Series Analysis and Its Applications by : Robert H. Shumway

Download or read book Time Series Analysis and Its Applications written by Robert H. Shumway and published by . This book was released on 2014-01-15 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning Tools for Predicting Stock Market Movements

Author : Renuka Sharma
Publisher : John Wiley & Sons
ISBN 13 : 1394214316
Total Pages : 358 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Deep Learning Tools for Predicting Stock Market Movements by : Renuka Sharma

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 2024-04-10 with total page 358 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.

Technical Analysis and Stock Market Profits

Author : R. Schabacker
Publisher : Harriman House Limited
ISBN 13 : 1897597568
Total Pages : 472 pages
Book Rating : 4.8/5 (975 download)

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Book Synopsis Technical Analysis and Stock Market Profits by : R. Schabacker

Download or read book Technical Analysis and Stock Market Profits written by R. Schabacker and published by Harriman House Limited. This book was released on 2021-02-15 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Richard W. Schabacker's great work, Technical Analysis and Stock Market Profits, is a worthy addition to any technical analyst's personal library or any market library. His "pioneering research" represents one of the finest works ever produced on technical analysis, and this book remains an example of the highest order of analytical quality and incisive trading wisdom. Originally devised as a practical course for investors, it is as alive, vital and instructional today as the day it was written. It paved the way for Robert Edwards and John Magee's best-selling Technical Analysis of Stock Trends - a debt which is acknowledged in their foreword: 'Part One is based in large part on the pioneer researches and writings of the late Richard Schabacker.'Schabacker presents technical analysis as a totally organized subject and comprehensively lays out the various important patterns, formations, trends, support and resistance areas, and associated supporting technical detail. He presents factors that can be confidently relied on, and gives equal attention to the blemishes and weaknesses that can upset the best of analytical forecasts: Factors which investors would do well to absorb and apply when undertaking the fascinating game of price, time and volume analysis.

McWhirter Theory of Stock Market Forecasting

Author : Louise McWhirter
Publisher : American Federation of Astr
ISBN 13 : 0866905855
Total Pages : 210 pages
Book Rating : 4.8/5 (669 download)

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Book Synopsis McWhirter Theory of Stock Market Forecasting by : Louise McWhirter

Download or read book McWhirter Theory of Stock Market Forecasting written by Louise McWhirter and published by American Federation of Astr. This book was released on 2008-11 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Included in this volume are Louise McWhirter's theories and numerous, fully-explained and detailed examples for: Forecasting business cycles and stock market trends, forecasting trends of individual stocks, and forecasting monthly and daily trends on the New York stock exchange.

First International Conference on Sustainable Technologies for Computational Intelligence

Author : Ashish Kumar Luhach
Publisher : Springer Nature
ISBN 13 : 9811500290
Total Pages : 833 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis First International Conference on Sustainable Technologies for Computational Intelligence by : Ashish Kumar Luhach

Download or read book First International Conference on Sustainable Technologies for Computational Intelligence written by Ashish Kumar Luhach and published by Springer Nature. This book was released on 2019-11-01 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

Deep Learning for Time Series Forecasting

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 572 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Learning for Time Series Forecasting by : Jason Brownlee

Download or read book Deep Learning for Time Series Forecasting written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-08-30 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

Introduction to Financial Forecasting in Investment Analysis

Author : John B. Guerard, Jr.
Publisher : Springer Science & Business Media
ISBN 13 : 1461452392
Total Pages : 245 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Introduction to Financial Forecasting in Investment Analysis by : John B. Guerard, Jr.

Download or read book Introduction to Financial Forecasting in Investment Analysis written by John B. Guerard, Jr. and published by Springer Science & Business Media. This book was released on 2013-01-04 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.

Trend Forecasting with Intermarket Analysis

Author : Louis B. Mendelsohn
Publisher : John Wiley & Sons
ISBN 13 : 111853865X
Total Pages : 171 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Trend Forecasting with Intermarket Analysis by : Louis B. Mendelsohn

Download or read book Trend Forecasting with Intermarket Analysis written by Louis B. Mendelsohn and published by John Wiley & Sons. This book was released on 2012-10-15 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this groundbreaking new edition, Mendelsohn gives you the weapon to conquer the limitations of traditional technical trading-intermarket analysis. To compete in today's rapidly changing economy, you need a method that can identify reoccurring patterns within individual financial markets and between related global markets. You need tools that lead, not lag. Step by step, Mendelsohn shows how combining technical, fundamental, and intermarket analysis into one powerful framework can give you an early edge to accurately forecasting trends. Inside, you'll discover: Precise trading strategies that can be used by both day traders and position traders. The limitations of traditional technical analysis methods-and how to overcome them. How neural network computational modeling can create leading, not lagging, moving averages for more accurate forecasting. Innovative, quantitative trend forecasting indicators at the cutting edge of market analysis. PLUS-an introduction to VantagePoint Software, which makes Mendelsohn's "new economy" trading methods work simply-and effectively. This software applies the pattern recognition capabilities of advanced neural networks to analyze intermarket data on literally hundreds of global financial markets each day.

The Front Office

Author : Tom Costello
Publisher : Https: //Www.Isbnservices.COM
ISBN 13 : 9781637958476
Total Pages : 344 pages
Book Rating : 4.9/5 (584 download)

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Book Synopsis The Front Office by : Tom Costello

Download or read book The Front Office written by Tom Costello and published by Https: //Www.Isbnservices.COM. This book was released on 2021-02-05 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Getting into the Hedge Fund industry is hard, being successful in the hedge fund industry is even harder. But the most successful people in the hedge fund industry all have some ideas in common that often mean the difference between success and failure. The Front Office is a guide to those ideas. It's a manual for learning how to think about markets in the way that's most likely to lead to sustained success in the way that the top Institutions, Investment Banks and Hedge Funds do. Anyone can tell you how to register a corporation or how to connect to a lawyer or broker. This isn't a book about those 'back office' issues. This is a book about the hardest part of running a hedge fund. The part that the vast majority of small hedge funds and trading system developers never learn on their own. The part that the accountants, settlement clerks, and back office staffers don't ever see. It explains why some trading systems never reach profitability, why some can't seem to stay profitable, and what to do about it if that happens to you. This isn't a get rich quick book for your average investor. There are no easy answers in it. If you need someone to explain what a stock option is or what Beta means, you should look somewhere else. But if you think you're ready to reach for the brass ring of a career in the institutional investing world, this is an excellent guide. This book explains what those people see when they look at the markets, and what nearly all of the other investors never do.

Predict Market Swings With Technical Analysis

Author : Michael McDonald
Publisher : John Wiley & Sons
ISBN 13 : 0471271578
Total Pages : 218 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Predict Market Swings With Technical Analysis by : Michael McDonald

Download or read book Predict Market Swings With Technical Analysis written by Michael McDonald and published by John Wiley & Sons. This book was released on 2002-10-02 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fresh perspective on predicting the market The experience of Wall Street investment manager and analyst Michael McDonald offers a new perspective on how to navigate the turbulent ups and downs of the markets. His innovative approach to the stock market teaches investors how to use new investment strategies intended to replace the "buy and hold forever" strategies of yesterday. McDonald discusses what a "trading range" market is-a roller-coaster ride in which the market will neither gain nor lose much ground-and guides readers through this market with his proven investment strategies. This book provides an understandable way to make sense of the unpredictable stock market, taking into account more complex theories, including chaos and contrarian approaches. Along with his expert advice, McDonald presents four investing paradoxes that will help investors make smarter decisions now and predict where the market is heading, using his proven theories.

2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728126081
Total Pages : pages
Book Rating : 4.1/5 (26 download)

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Book Synopsis 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) by : IEEE Staff

Download or read book 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) written by IEEE Staff and published by . This book was released on 2019-07-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPSAC is the IEEE Computer Society s signature Conference on Computers, Software and Applications It is one of the major international forums for academia, industry, and government to discuss research results, advancements and future trends in computer and software technologies and applications The technical program includes keynote addresses, research papers, industrial case studies, panel discussions, fast abstracts, doctoral symposium, poster sessions, and a number of workshops on emerging important topics

Paul Wilmott on Quantitative Finance

Author : Paul Wilmott
Publisher : Wiley
ISBN 13 : 9780471874386
Total Pages : 0 pages
Book Rating : 4.8/5 (743 download)

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Book Synopsis Paul Wilmott on Quantitative Finance by : Paul Wilmott

Download or read book Paul Wilmott on Quantitative Finance written by Paul Wilmott and published by Wiley. This book was released on 2000-06-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only comprehensive reference encompassing both traditional and new derivatives and financial engineering techniques Based on the author's hugely successful Derivatives: The Theory and Practice of Financial Engineering, Paul Wilmott on Quantitative Finance is the definitive guide to derivatives and related financial products. In addition to fully updated and expanded coverage of all the topics covered in the first book, this two-volume set also includes sixteen entirely new chapters covering such crucial areas as stochastic control and derivatives, utility theory, stochastic volatility and utility, mortgages, real options, power derivatives, weather derivatives, insurance derivatives, and more. Wilmott has also added clear, detailed explanations of all the mathematical procedures readers need to know in order to use the techniques he describes. Paul Wilmott, Dphil (Oxford, UK), is one of Europe's leading writers and consultants in the area of financial mathematics. He is also head of Wilmott Associates, a leading international financial consulting firm whose clients include Citibank, IBM, Bank of Montreal, Momura, Daiwa, Maxima, Dresdner Klienwort Benson, Origenes, and Siembra.

Analysis of Financial Time Series

Author : Ruey S. Tsay
Publisher : Wiley-Interscience
ISBN 13 : 9780471415442
Total Pages : 472 pages
Book Rating : 4.4/5 (154 download)

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Book Synopsis Analysis of Financial Time Series by : Ruey S. Tsay

Download or read book Analysis of Financial Time Series written by Ruey S. Tsay and published by Wiley-Interscience. This book was released on 2001-11-01 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamental topics and new methods in time series analysis Analysis of Financial Time Series provides a comprehensive and systematic introduction to financial econometric models and their application to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: analysis and application of univariate financial time series; the return series of multiple assets; and Bayesian inference in finance methods. Timely topics and recent results include: Value at Risk (VaR) High-frequency financial data analysis Markov Chain Monte Carlo (MCMC) methods Derivative pricing using jump diffusion with closed-form formulas VaR calculation using extreme value theory based on a non-homogeneous two-dimensional Poisson process Multivariate volatility models with time-varying correlations Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance, Analysis of Financial Time Series offers an in-depth and up-to-date account of these vital methods.