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Download or read book Applying Fuzzy Logic to Stock Price Prediction written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ali Ghodsi Boushehri
Publisher :
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.:/5 (11 download)
Download or read book Applying Fuzzy Logic to Stock Price Prediction written by Ali Ghodsi Boushehri and published by . This book was released on 2000 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major concern of this study is to develop a system that can predict future prices in the stock markets by taking samples of past prices. Stock markets are complex. Their dramatic movements, and unexpected booms and crashes, dull all traditional tools. This study attempts to resolve such complexity using the subtractive clustering based fuzzy system identification method, the Sugeno type reasoning mechanism, and candlestick chart analysis. Candlestick chart analysis shows that if a certain pattern of prices occurs in the market, then the stock price will increase or decrease. Inspired by the key information that candlestick analysis uses, this study assumes that everything impacting a market, from economic factors to politics, is distilled into market price. The model presented in this study elicits, from historical data price, some of the rules which govern the market, and shows that rules which are drawn from a particular stock are to some extent independent of that stock, and can be generalized and applied to other stocks regardless of specific time or industrial field. The experimental results of this study in the duration of 3 months reveals that the model can correctly predict the direction of the market with an average hit ratio of 87%. In addition to daily prediction, this model is also capable of predicting the open, high, low, and close prices of desired stock, weekly and monthly.
Author : Andreas Meier
Publisher : Springer
ISBN 13 : 3030033686
Total Pages : 207 pages
Book Rating : 4.0/5 (3 download)
Download or read book Applying Fuzzy Logic for the Digital Economy and Society written by Andreas Meier and published by Springer. This book was released on 2019-02-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
Author :
Publisher :
ISBN 13 :
Total Pages : 35 pages
Book Rating : 4.:/5 (958 download)
Download or read book Stock Market Forecasting Using Fuzzy Logic written by and published by . This book was released on 2016 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is a very tedious task and many factors should be taken into consideration for proper predictions. The chaotic nature and randomness of stock market index values, makes forecasting stock market values a very challenging task. Financial forecasting can be done in many areas such as currencies, commodities, bonds and stocks. This project is restricted to stocks; and in particular the SENSEX, National Stock Exchange of India. Prediction of the stock market can be of interest to investors, traders and researchers. To take appropriate buy and sell decision for a stock knowing the momentum of the stock market can be of great help. Forecasting becomes difficult considering highly unpredictable attributes such as historical prices, company orders, company earnings, company revenue, etc. The proposed fuzzy model identifies the momentum of the stock index for next 5 days by considering the 14-day historic data as the base. The fuzzy model is applied to the close and open values and a system is designed which takes input as 14-day data and outputs the future moment as Up(bearish), Neural and Down(Bullish). The results found closely match with the expected real-world values when compared with already known data.
Author : Oscar Castillo
Publisher : Springer Nature
ISBN 13 : 3031597141
Total Pages : 102 pages
Book Rating : 4.0/5 (315 download)
Download or read book Type-3 Fuzzy Logic in Time Series Prediction written by Oscar Castillo and published by Springer Nature. This book was released on with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. Gunasekaran
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (13 download)
Download or read book Neuro Fuzzy Based Stock Market Prediction System written by M. Gunasekaran and published by . This book was released on 2013 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks have been used for forecasting purposes for some years now. Often arises the problem of a black-box approach, i.e. after having trained neural networks to a particular problem, it is almost impossible to analyze them for how they work. Fuzzy Neuronal Networks allow adding rules to neural networks. This avoids the black-box-problem. Additionally they are supposed to have a higher prediction precision in unlike situations. Applying artificial neural network, genetic algorithm and fuzzy logic for the stock market prediction has attracted much attention recently, which has better correlated the non-quantitative factors with the stock market performance. However these approaches perform less satisfactorily due to the memoryless nature of the stock market performance. In this paper, we propose a data compression-based portfolio prediction model hybridized with the fuzzy logic and genetic algorithm. In the model, the quantifiable microeconomic stock data are first optimized through the genetic algorithms to generate the most effective microeconomic data in relation to the stock market performance.
Author : Maha Abdelrasoul
Publisher :
ISBN 13 : 9783330800106
Total Pages : 132 pages
Book Rating : 4.8/5 (1 download)
Download or read book Stock Market Trend Prediction Using Neural Networks and Fuzzy Logic written by Maha Abdelrasoul and published by . This book was released on 2016-11-22 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dr.N.Srinivasan
Publisher : Clever Fox Publishing
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4./5 ( download)
Download or read book Stock price Prediction a referential approach on how to predict the stock price using simple time series... written by Dr.N.Srinivasan and published by Clever Fox Publishing. This book was released on with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : George Bojadziev
Publisher : World Scientific
ISBN 13 : 9812706496
Total Pages : 253 pages
Book Rating : 4.8/5 (127 download)
Download or read book Fuzzy Logic for Business, Finance, and Management written by George Bojadziev and published by World Scientific. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.
Author : R. Sathiyaraj
Publisher : CRC Press
ISBN 13 : 1000555909
Total Pages : 145 pages
Book Rating : 4.0/5 (5 download)
Download or read book Advanced Intelligent Predictive Models for Urban Transportation written by R. Sathiyaraj and published by CRC Press. This book was released on 2022-03-27 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments. Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT. This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.
Author : Parniyan Mousaie
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)
Download or read book An Improved Intelligent Model for Stock Market Time Series Data Prediction Using Fuzzy Logic and Deep Neural Networks written by Parniyan Mousaie and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is vitally crucial to establish a method that can accurately forecast prices on the stock exchange market because of the influence the stock market has on the country's ability to raise capital and advance its economic growth. On the stock market, a great number of sensitivity factors are connected to price movement, which is why the progressions associated with such a phenomenon are routinely evaluated. Several neural network models have recently been used to forecast stock prices. In this research, the data related to active companies in the stock market was used to evaluate research questions. Also, the neural network technique was used to look at all data from the market index, fuzzy neural network model, and long short-term memory (LSTM) model from 2020 to 2021. Accordingly, this study aims to forecast the stock price and give a dynamic model with fewer errors using integrated factors, the technical, cardinal, and economic assessment of the market index using the neural network technique. This will be accomplished by utilizing the neural network method. The findings demonstrated that if the combined data of basic analytical factors was used further, we would not only have better training and receive better results, but we would also be able to decrease the prediction error.
Author : Hakyun Kim
Publisher :
ISBN 13 :
Total Pages : 222 pages
Book Rating : 4.:/5 (313 download)
Download or read book Applying Fuzzy Logic to Managerial Decision Making written by Hakyun Kim and published by . This book was released on 1994 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xu Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (111 download)
Download or read book A Neuro-fuzzy Logic Forecasting System in Stock Investment Decision Making Processes written by Xu Wang and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The sophisticated financial investment world is characterized by highly random variations in stock prices, financial indexes and trading volumes so that it is quite difficult to get fundamental understanding of the financial investment process and to predict the stock market. This research attempts to develop a new and innovative approach to predict the stock time series with artificial intelligence techniques. Specifically, a fuzzy logic analysis has been made to predict the stock time series with different characteristic variables and different investments horizons, respectively. A neural network is designed to fine-tune the parameters involved and thus a neuron-fuzzy logic time series forecasting model has been developed" - abstract.
Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
ISBN 13 : 1522573631
Total Pages : 1482 pages
Book Rating : 4.5/5 (225 download)
Download or read book Advanced Methodologies and Technologies in Business Operations and Management written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-09-14 with total page 1482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Businesses consistently work on new projects, products, and workflows to remain competitive and successful in the modern business environment. To remain zealous, businesses must employ the most effective methods and tools in human resources, project management, and overall business plan execution as competitors work to succeed as well. Advanced Methodologies and Technologies in Business Operations and Management provides emerging research on business tools such as employee engagement, payout policies, and financial investing to promote operational success. While highlighting the challenges facing modern organizations, readers will learn how corporate social responsibility and utilizing artificial intelligence improve a company’s culture and management. This book is an ideal resource for executives and managers, researchers, accountants, and financial investors seeking current research on business operations and management.
Author : Jibendu Kumar Mantri
Publisher : Universal-Publishers
ISBN 13 : 1627345035
Total Pages : 193 pages
Book Rating : 4.6/5 (273 download)
Download or read book Soft-Computing in Capital Market written by Jibendu Kumar Mantri and published by Universal-Publishers. This book was released on 2014-06-03 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Finance, an exciting new cross-disciplinary research area, depends extensively on the tools and techniques of computer science, statistics, information systems and financial economics for educating the next generation of financial researchers, analysts, risk managers, and financial information technology professionals. This new discipline, sometimes also referred to as "Financial Engineering" or "Quantitative Finance" needs professionals with extensive skills both in finance and mathematics along with specialization in computer science. Soft-Computing in Capital Market hopes to fulfill the need of applications of this offshoot of the technology by providing a diverse collection of cross-disciplinary research. This edited volume covers most of the recent, advanced research and practical areas in computational finance, starting from traditional fundamental analysis using algebraic and geometric tools to the logic of science to explore information from financial data without prejudice. Utilizing various methods, computational finance researchers aim to determine the financial risk with greater precision that certain financial instruments create. In this line of interest, twelve papers dealing with new techniques and/or novel applications related to computational intelligence, such as statistics, econometrics, neural- network, and various numerical algorithms are included in this volume.
Author : L. C. Jain
Publisher : World Scientific
ISBN 13 : 9789810228897
Total Pages : 204 pages
Book Rating : 4.2/5 (288 download)
Download or read book Hybrid Intelligent Engineering Systems written by L. C. Jain and published by World Scientific. This book was released on 1997 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on hybrid intelligent engineering systems is unique, in the sense that it presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms, and chaos engineering. It shows that these new techniques enhance the capabilities of one another. A number of hybrid systems for solving engineering problems are presented.
Author : Sivaji Bandyopadhyay
Publisher : Springer Nature
ISBN 13 : 9819754127
Total Pages : 600 pages
Book Rating : 4.8/5 (197 download)
Download or read book Intelligent Computing Systems and Applications written by Sivaji Bandyopadhyay and published by Springer Nature. This book was released on with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:
