Stock Market Prediction

Stock Market Prediction PDF Author: Donald A. Bradley
Publisher:
ISBN:
Category : Astrology
Languages : en
Pages : 76

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Handbook of Research on Smart Technology Models for Business and Industry

Handbook of Research on Smart Technology Models for Business and Industry PDF Author: Thomas, J. Joshua
Publisher: IGI Global
ISBN: 1799836460
Category : Technology & Engineering
Languages : en
Pages : 520

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Book Description
Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications for nearly every industry. As the progress has, in turn, excited the interest of venture investors, technology firms, and a growing number of clients, implementing intelligent automation in both physical and information systems has become a must in business. Handbook of Research on Smart Technology Models for Business and Industry is an essential reference source that discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies. Featuring research on topics such as digital security, renewable energy, and intelligence management, this book is ideally designed for machine learning specialists, industrial experts, data scientists, researchers, academicians, students, and business professionals seeking coverage on current smart technology models.

Predicting the Markets of Tomorrow

Predicting the Markets of Tomorrow PDF Author: James P. O'Shaughnessy
Publisher: Penguin
ISBN: 110121838X
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
A unique and timely new wealth-building strategy from a legendary investment guru In his national bestsellers How to Retire Rich and What Works on Wall Street, portfolio manager extraordinaire James P. O’Shaughnessy offered investors practical advice based on rigorous quantitative analysis—advice that has consistently beaten the market. But in a recent analysis of market data, O’Shaughnessy uncovered some astonishing trends not discussed in his previous books. The Markets of Tomorrow explains O’Shaughnessy’s new research and tells ordinary investors what they must do now to revamp their portfolios. According to O’Shaughnessy, the year 2000 marked the end of a twenty-year cycle that was dominated by the stocks of larger, fastergrowing companies like those in the S&P 500. In the new cycle, the stocks of small and midsize companies are the ones that will outperform the market, along with large company value stocks and intermediate term bonds. O’Shaughnessy describes the number crunching behind his analysis and then shows individual investors exactly how to select the right mix of investments and pick top-performing small and midcap stocks. The Markets of Tomorrow is a loud and clear call to action for every investor who doesn’t want to be left behind.

In The Trading Cockpit with the O'Neil Disciples

In The Trading Cockpit with the O'Neil Disciples PDF Author: Gil Morales
Publisher: John Wiley & Sons
ISBN: 1118283082
Category : Business & Economics
Languages : en
Pages : 437

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Book Description
Praise for In the Trading Cockpit . . . "Morales and Kacher want you to see an alternative to popular and traditional dead end strategies (i.e., buy and hope). Absorb the insights of In the Trading Cockpit with the O'Neil Disciples and put yourself in position to think differently and profit." Michael W. Covel, Bestselling author of Trend Following and The Complete TurtleTrader; President, Trend Following Your hands-on guide to mastering powerful trading methods inspired by stock market legend William O'Neil Written by two former William O'Neil + Co. employees who have spent years building upon the lessons they learned working alongside the master, this book delivers powerful trading techniques based on the O'Neil model that you can put to work in your own portfolio, right away. The follow-up to their bestselling Trade Like an O'Neil Disciple, In the Trading Cockpit with the O'Neil Disciples goes beyond the descriptive narrative of the former book to provide you with step-by-step guidance and all the practice you need to quickly master those tried-and-true methods and make them an integral part of your trading system. You'll find: Clear, step-by-step explanations of powerful new trading strategies, including techniques for buying pocket pivots and gap-ups Hundreds of annotated examples with charts of real-life trades from the authors' own experiences with detailed analysis of what worked, what didn't, and why Set ups with buy, add, and sell points for both winning and losing scenarios Dozens of skill-building exercises that help you quickly master the techniques described Tried-and-true stock shorting techniques based on William O'Neil's methods Written by established experts Gil Morales and Dr. Chris Kacher, In the Trading Cockpit with the O'Neil Disciples is an indispensable guide to mastering proven strategies for trading stocks for record profits in every market environment.

On Market Timing and Investment Performance Part II: Statistical Procedures for Evaluating Forecasting Skills

On Market Timing and Investment Performance Part II: Statistical Procedures for Evaluating Forecasting Skills PDF Author: Roy Henriksson
Publisher:
ISBN: 9781021216878
Category : Business & Economics
Languages : en
Pages : 0

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Challenges and Applications of Data Analytics in Social Perspectives

Challenges and Applications of Data Analytics in Social Perspectives PDF Author: Sathiyamoorthi, V.
Publisher: IGI Global
ISBN: 179982568X
Category : Computers
Languages : en
Pages : 324

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Book Description
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

The Inefficient Stock Market

The Inefficient Stock Market PDF Author: Robert A. Haugen
Publisher: Pearson
ISBN: 9780130323668
Category : Stock exchanges
Languages : en
Pages : 0

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Book Description
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.

Machine Learning Solutions

Machine Learning Solutions PDF Author: Jalaj Thanaki
Publisher: Packt Publishing Ltd
ISBN: 1788398890
Category : Computers
Languages : en
Pages : 567

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Book Description
Practical, hands-on solutions in Python to overcome any problem in Machine Learning Key Features Master the advanced concepts, methodologies, and use cases of machine learning Build ML applications for analytics, NLP and computer vision domains Solve the most common problems in building machine learning models Book Description Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. What you will learn Select the right algorithm to derive the best solution in ML domains Perform predictive analysis effciently using ML algorithms Predict stock prices using the stock index value Perform customer analytics for an e-commerce platform Build recommendation engines for various domains Build NLP applications for the health domain Build language generation applications using different NLP techniques Build computer vision applications such as facial emotion recognition Who this book is for This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book.

Creating Real Wealth

Creating Real Wealth PDF Author: Michael E. Kemp
Publisher:
ISBN: 9780648238744
Category : Finance, Personal
Languages : en
Pages : 203

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Book Description
Creating Real Wealth opens with a thorough and intelligent discussion on the various aspects of wealth creation. Author Michael Kemp encourages readers to first define their perception of wealth before they set out on their journey to achieve financial security. The vague goal of "becoming wealthy" is unachievable if the more you earn the more you spend. He warns against measuring financial goals and achievements against those of the Joneses' or the stars of the screen and entertainment worlds. Instead he reviews the wisdom of those intelligent investors who have created real and lasting wealth. Kemp's reasoning is easy to follow. He believes there are only really four things the wealth-creator needs to know about money: how to earn it, save it, invest it and enjoy it. In this fascinating book you will learn: - How to set goals that will lead to financial security. - The importance of saving and the power of compounding. - To avoid emotional pitfalls and to think like a true investor. - How to enjoy the wealth that you have created.

Astrology and Stock Market Forecasting

Astrology and Stock Market Forecasting PDF Author: Louise McWhirter
Publisher: Red Wheel/Weiser
ISBN: 9780882310343
Category : Astrology and business.
Languages : en
Pages : 198

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Book Description