Stock Market Forecasting

Author : Xiaolian Zheng,Ben M. Chen
Publisher : Springer
Page : 161 pages
File Size : 48,9 Mb
Release : 2013-04-05
Category : Technology & Engineering
ISBN : 9781447151555

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Stock Market Modeling and Forecasting by Xiaolian Zheng,Ben M. Chen Pdf

Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics. The modeling process is considered as identifying a dynamic system in which a real stock market is treated as an unknown plant and the identification model proposed is tuned by feedback of the matching error. Like a physical system, a financial market exhibits fast and slow dynamics corresponding to external (such as company value and profitability) and internal forces (such as investor sentiment and commodity prices) respectively. The framework presented here, consisting of an internal model and an adaptive filter, is successful at considering both fast and slow market dynamics. A double selection method is efficacious in identifying input factors influential in market movements, revealing them to be both frequency- and market-dependent. The authors present work on both developed and developing markets in the shape of the US, Hong Kong, Chinese and Singaporean stock markets. Results from all these sources demonstrate the efficiency of the model framework in identifying significant influences and the quality of its predictive ability; promising results are also obtained by applying the model framework to the forecasting of major market-turning periods. Having shown that system-theoretic ideas can form the core of a novel and effective basis for stock market analysis, the book is completed by an indication of possible and likely future expansions of the research in this area.

Author : Ajith Abraham,Pavel Krömer,Václav Snásel
Publisher : Springer
Page : 0 pages
File Size : 49,5 Mb
Release : 2014-12-04
Category : Computers
ISBN : 3319135716

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Afro-European Conference for Industrial Advancement by Ajith Abraham,Pavel Krömer,Václav Snásel Pdf

This volume contains accepted papers presented at AECIA2014, the First International Afro-European Conference for Industrial Advancement. The aim of AECIA was to bring together the foremost experts as well as excellent young researchers from Africa, Europe, and the rest of the world to disseminate latest results from various fields of engineering, information, and communication technologies. The first edition of AECIA was organized jointly by Addis Ababa Institute of Technology, Addis Ababa University, and VSB - Technical University of Ostrava, Czech Republic and took place in Ethiopia's capital, Addis Ababa.

Author : Louise McWhirter
Publisher : American Federation of Astr
Page : 210 pages
File Size : 52,8 Mb
Release : 2008-11
Category : Astrology
ISBN : 9780866905855

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McWhirter Theory of Stock Market Forecasting by Louise McWhirter Pdf

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.

Author : M G Bucholtz
Publisher : Wood Dragon Books
Page : 132 pages
File Size : 46,8 Mb
Release : 2014-09-12
Category : Electronic
ISBN : 096853709X

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Stock Market Forecasting by M G Bucholtz Pdf

In 1937 Louise McWhirter published her ground-breaking forecasting methodology in which she revealed how to forecast in advance the general state of the economy for years to come. She revealed how to use planetary angles present at the time of a New Moon to identify key dates in a lunar cycle when the New York Stock Exchange would have a high probability of exhibiting a price trend change. She further showed how to use planetary transits, angles and aspects to predict times when individual stocks and commodity futures would have a high probability of exhibiting a price trend change. Today, McWhirter's work in in danger of fading into a distant memory. This book has been crafted in part to help ensure that does not happen. This book has also been crafted to assist the trader and investor in de-mystifying the many nuances in the McWhirter methodology.

Author : Louise McWhirter
Publisher : Red Wheel/Weiser
Page : 198 pages
File Size : 53,6 Mb
Release : 1977
Category : Astrology and business.
ISBN : 0882310348

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Astrology and Stock Market Forecasting by Louise McWhirter Pdf

Author : W. D. Gann
Publisher : WWW.Snowballpublishing.com
Page : 260 pages
File Size : 52,9 Mb
Release : 2009-10
Category : Business & Economics
ISBN : 160796192X

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Stock Market Forecasting Courses by W. D. Gann Pdf

This is an extensive course for the gann trader as well as the investor. W. D. Gann's Stock Trading Course can teach you a number of different trading techniques and skills, such as charting, chart interpretation, how do find natural resistance levels, forecasting trend changes, using Gann Lines (or Gann Angles), seasonal changes for stocks, how to decipher time cycles, the relationship between time and price, squaring price and time, how to use gann squares & gann calculators and more.

Author : R. Schabacker
Publisher : Harriman House Limited
Page : 472 pages
File Size : 51,5 Mb
Release : 2021-02-15
Category : Business & Economics
ISBN : 9781897597569

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Technical Analysis and Stock Market Profits by R. Schabacker Pdf

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.

Author : John C. Touhey
Publisher : Unknown
Page : 184 pages
File Size : 54,5 Mb
Release : 1980
Category : Actions de sociétés - Prix, Prévision des
ISBN : 0814456103

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Stock Market Forecasting for Alert Investors by John C. Touhey Pdf

Author : W. P. Hamilton
Publisher : Cosimo, Inc.
Page : 377 pages
File Size : 53,5 Mb
Release : 2006-11-01
Category : Business & Economics
ISBN : 9781602060067

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The Stock Market Barometer by W. P. Hamilton Pdf

One of the most reliable stock market predictors is Dow's Theory, developed by Charles H. Dow, the founder of The Wall Street Journal. That theory, which makes sense of the fluctuations of the Dow-Jones Industrial Average, is clearly and simply explained in The Stock Market Barometer by W.P. Hamilton. As Hamilton wrote, "The Dow-Jones average is still standard, although it has been extensively imitated. There have been various ways of reading it; but nothing has stood the test which has been applied to Dow's theory." Besides providing this valuable explanation for anyone wishing to understand the rise and fall of stocks, Hamilton analyzes the history of the stock market since 1897. WILLIAM PETER HAMILTON was an editor of The Wall Street Journal and also wrote for Barron's. He worked closely with Charles H. Dow, founder of the Journal, the Dow Jones Industrial Average, and the Dow Jones financial news service.

Author : Dr.N.Srinivasan
Publisher : Clever Fox Publishing
Page : 56 pages
File Size : 42,8 Mb
Release : 2024-06-10
Category : Business & Economics
ISBN : 8210379456XXX

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Stock price Prediction a referential approach on how to predict the stock price using simple time series... by Dr.N.Srinivasan Pdf

This book is about the various techniques involved in the stock price prediction. Even the people who are new to this book, after completion they can do stock trading individually with more profit.

Author : Donald A. Bradley
Publisher : Unknown
Page : 76 pages
File Size : 51,9 Mb
Release : 1948
Category : Astrology
ISBN : UIUC:30112032887173

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Stock Market Prediction by Donald A. Bradley Pdf

Author : Jalaj Thanaki
Publisher : Packt Publishing Ltd
Page : 567 pages
File Size : 54,8 Mb
Release : 2018-04-27
Category : Computers
ISBN : 9781788398893

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Machine Learning Solutions by Jalaj Thanaki Pdf

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.

Author : Joish Bosco,Fateh Khan
Publisher : GRIN Verlag
Page : 76 pages
File Size : 49,9 Mb
Release : 2018-09-18
Category : Computers
ISBN : 9783668800458

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Stock Market Prediction and Efficiency Analysis using Recurrent Neural Network by Joish Bosco,Fateh Khan Pdf

Project Report from the year 2018 in the subject Computer Science - Technical Computer Science, , course: Computer Science, language: English, abstract: Modeling and Forecasting of the financial market have been an attractive topic to scholars and researchers from various academic fields. The financial market is an abstract concept where financial commodities such as stocks, bonds, and precious metals transactions happen between buyers and sellers. In the present scenario of the financial market world, especially in the stock market, forecasting the trend or the price of stocks using machine learning techniques and artificial neural networks are the most attractive issue to be investigated. As Giles explained, financial forecasting is an instance of signal processing problem which is difficult because of high noise, small sample size, non-stationary, and non-linearity. The noisy characteristics mean the incomplete information gap between past stock trading price and volume with a future price. The stock market is sensitive with the political and macroeconomic environment. However, these two kinds of information are too complex and unstable to gather. The above information that cannot be included in features are considered as noise. The sample size of financial data is determined by real-world transaction records. On one hand, a larger sample size refers a longer period of transaction records; on the other hand, large sample size increases the uncertainty of financial environment during the 2 sample period. In this project, we use stock data instead of daily data in order to reduce the probability of uncertain noise, and relatively increase the sample size within a certain period of time. By non-stationarity, one means that the distribution of stock data is various during time changing. Non-linearity implies that feature correlation of different individual stocks is various. Efficient Market Hypothesis was developed by Burton G. Malkiel in 1991.

Author : Vinaitheerthan Renganathan
Publisher : Vinaitheerthan Renganathan
Page : 107 pages
File Size : 46,5 Mb
Release : 2021-04-30
Category : Business & Economics
ISBN : 9789354579738

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Stock price analysis through Statistical and Data Science tools: An Overview by Vinaitheerthan Renganathan Pdf

Stock price analysis involves different methods such as fundamental analysis and technical analysis which is based on data related to price movement of the stock in the past. Price of the stock is affected by various factors such as company’s performance, current status of economy and political factor. These factors play an important role in supply and demand of the stock which makes the price to be volatile in the short term. Investors and stock traders aim to book profit through buying and selling the stocks. There are different statistical and data science tools are being used to predict the stock price. Data Science and Statistical tools assume only the stock price’s historical data in predicting the future stock price. Statistical tools include measures such as Graph and Charts which depicts the general trend and time series tools such as Auto Regressive Integrated Moving Averages (ARIMA) and regression analysis. Data Science tools include models like Decision Tree, Support Vector Machine (SVM), Artificial Neural Network (ANN) and Long Term and Short Term Memory (LSTM) Models. Current methods include carrying out sentiment analysis of tweets, comments and other social media discussion to extract the hidden sentiment expressed by the users which indicate the positive or negative sentiment towards the stock price and the company. The book provides an overview of the analyzing and predicting stock price movements using statistical and data science tools using R open source software with hypothetical stock data sets. It provides a short introduction to R software to enable the user to understand analysis part in the later part. The book will not go into details of suggesting when to purchase a stock or what at price. The tools presented in the book can be used as a guiding tool in decision making while buying or selling the stock. Vinaitheerthan Renganathan www.vinaitheerthan.com/book.php

Author : Jehan Shareef
Publisher : Unknown
Page : 112 pages
File Size : 40,8 Mb
Release : 2015-07-24
Category : Electronic
ISBN : 0692498109

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Prediction of International Stock Market Movements Using a Statistical Time Series Analysis Method by Jehan Shareef Pdf