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Book Synopsis Metaheuristics in Machine Learning: Theory and Applications by : Diego Oliva
Download or read book Metaheuristics in Machine Learning: Theory and Applications written by Diego Oliva and published by Springer Nature. This book was released on with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Book Synopsis Hybrid Intelligent Systems by : Ajith Abraham
Download or read book Hybrid Intelligent Systems written by Ajith Abraham and published by Springer. This book was released on 2015-12-08 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the hybridization of intelligent systems which is a promising research field of modern computational intelligence concerned with the development of the next generation of intelligent systems. This Volume contains the papers presented in the Fifteenth International conference on Hybrid Intelligent Systems (HIS 2015) held in Seoul, South Korea during November 16-18, 2015. The 26 papers presented in this Volume were carefully reviewed and selected from 90 paper submissions. The Volume will be a valuable reference to researchers, students and practitioners in the computational intelligence field.
Book Synopsis Reinforcement Learning for Finance by : Yves J. Hilpisch
Download or read book Reinforcement Learning for Finance written by Yves J. Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2024-10-14 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research. This book is among the first to explore the use of reinforcement learning methods in finance. Author Yves Hilpisch, founder and CEO of The Python Quants, provides the background you need in concise fashion. ML practitioners, financial traders, portfolio managers, strategists, and analysts will focus on the implementation of these algorithms in the form of self-contained Python code and the application to important financial problems. This book covers: Reinforcement learning Deep Q-learning Python implementations of these algorithms How to apply the algorithms to financial problems such as algorithmic trading, dynamic hedging, and dynamic asset allocation This book is the ideal reference on this topic. You'll read it once, change the examples according to your needs or ideas, and refer to it whenever you work with RL for finance. Dr. Yves Hilpisch is founder and CEO of The Python Quants, a group that focuses on the use of open source technologies for financial data science, AI, asset management, algorithmic trading, and computational finance.
Book Synopsis Machine Learning for Time-Series with Python by : Ben Auffarth
Download or read book Machine Learning for Time-Series with Python written by Ben Auffarth and published by Packt Publishing Ltd. This book was released on 2021-10-29 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get better insights from time-series data and become proficient in model performance analysis Key FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems. Machine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering. This book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You'll also have a look at real-world case studies covering weather, traffic, biking, and stock market data. By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series. What you will learnUnderstand the main classes of time series and learn how to detect outliers and patternsChoose the right method to solve time-series problemsCharacterize seasonal and correlation patterns through autocorrelation and statistical techniquesGet to grips with time-series data visualizationUnderstand classical time-series models like ARMA and ARIMAImplement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning modelsBecome familiar with many libraries like Prophet, XGboost, and TensorFlowWho this book is for This book is ideal for data analysts, data scientists, and Python developers who want instantly useful and practical recipes to implement today, and a comprehensive reference book for tomorrow. Basic knowledge of the Python Programming language is a must, while familiarity with statistics will help you get the most out of this book.
Book Synopsis Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk by : Richard C. Grinold
Download or read book Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk written by Richard C. Grinold and published by McGraw Hill Professional. This book was released on 1999-11-16 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This new edition of Active Portfolio Management continues the standard of excellence established in the first edition, with new and clear insights to help investment professionals." -William E. Jacques, Partner and Chief Investment Officer, Martingale Asset Management. "Active Portfolio Management offers investors an opportunity to better understand the balance between manager skill and portfolio risk. Both fundamental and quantitative investment managers will benefit from studying this updated edition by Grinold and Kahn." -Scott Stewart, Portfolio Manager, Fidelity Select Equity ® Discipline Co-Manager, Fidelity Freedom ® Funds. "This Second edition will not remain on the shelf, but will be continually referenced by both novice and expert. There is a substantial expansion in both depth and breadth on the original. It clearly and concisely explains all aspects of the foundations and the latest thinking in active portfolio management." -Eric N. Remole, Managing Director, Head of Global Structured Equity, Credit Suisse Asset Management. Mathematically rigorous and meticulously organized, Active Portfolio Management broke new ground when it first became available to investment managers in 1994. By outlining an innovative process to uncover raw signals of asset returns, develop them into refined forecasts, then use those forecasts to construct portfolios of exceptional return and minimal risk, i.e., portfolios that consistently beat the market, this hallmark book helped thousands of investment managers. Active Portfolio Management, Second Edition, now sets the bar even higher. Like its predecessor, this volume details how to apply economics, econometrics, and operations research to solving practical investment problems, and uncovering superior profit opportunities. It outlines an active management framework that begins with a benchmark portfolio, then defines exceptional returns as they relate to that benchmark. Beyond the comprehensive treatment of the active management process covered previously, this new edition expands to cover asset allocation, long/short investing, information horizons, and other topics relevant today. It revisits a number of discussions from the first edition, shedding new light on some of today's most pressing issues, including risk, dispersion, market impact, and performance analysis, while providing empirical evidence where appropriate. The result is an updated, comprehensive set of strategic concepts and rules of thumb for guiding the process of-and increasing the profits from-active investment management.
Book Synopsis A Comprehensive Guide to Exchange-Traded Funds (ETFs) by : Joanne M. Hill
Download or read book A Comprehensive Guide to Exchange-Traded Funds (ETFs) written by Joanne M. Hill and published by CFA Institute Research Foundation. This book was released on 2015-05 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exchange-traded funds (ETFs) have become in their 25-year history one of the fastest growing segments of the investment management business. These funds provide liquid access to virtually every financial market and allow large and small investors to build institutional-caliber portfolios. Yet, their management fees are significantly lower than those typical of mutual funds. High levels of transparency in ETFs for holdings and investment strategy help investors evaluate an ETF’s potential returns and risks. This book covers the evolution of ETFs as products and in their uses in investment strategies. It details how ETFs work, their unique investment and trading features, their regulatory structure, how they are used in tactical and strategic portfolio management in a broad range of asset classes, and how to evaluate them individually.
Book Synopsis Exchange Traded Funds and E-Mini Stock Index Futures by : David Lerman
Download or read book Exchange Traded Funds and E-Mini Stock Index Futures written by David Lerman and published by John Wiley & Sons. This book was released on 2002-07-01 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how to use both ETFs and E-Minis for high-powered results Exchange Traded Funds (ETFs) are a remarkable new tool for trading and investing in broad market segments or narrow sectors. ETF trading volume and asset growth continue to soar at record levels. Ideal for speculating in and hedging as well as long-term investing in the broader markets, these index products work together to diversify and balance any global portfolio. Now, one of the top executives (and experts) in the industry reveals the intricacies of the products, how to use them, and what the future holds. Readers will get sample index portfolios and strategies for all market participants--ranging from the short-term trader to the long-term investor; and from the risk taker to the conservative investor. David Lerman (Chicago, IL) is the Senior Director of Equity Index Products Marketing at the Chicago Mercantile Exchange. He has traveled around the globe on behalf of the CME, giving seminars and workshops to retail and institutional audiences, including pension funds, corporations, banks and brokers on risk management/trading using equity index futures and options.
Book Synopsis The ETF Trend Following Playbook by : Tom Lydon
Download or read book The ETF Trend Following Playbook written by Tom Lydon and published by FT Press. This book was released on 2009-08-13 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Low-Risk ETF-Based Investing Strategy That Gives You the Chance to Make Money in Any Market Climate “Tom Lydon has been a leader in the ETF business for many years. His new book walks through the basics of ETFs investing and shows why professionals–and increasingly, individuals–are turning to ETFs.” –Bob Pisani, CNBC Reporter “Our complex and global financial system has created a powerful need for guideposts for investors and traders alike. Tom Lydon provides an excellent tool to help navigate the current economic environment in a clear, concise, easy-to-understand way.” –John L. Jacobs, EVP and CMO, The NASDAQ OMX Group, Inc. “There are hundreds of writers, speakers, and advisers clamoring to get a seat aboard the ETF bandwagon. However, if you’re looking for genuine insight from a real pioneer, then read Tom Lydon. Not only is Tom’s The ETF Trend Following Playbook a principled how-to guide for individual investors, it is requisite reading for money managers.” –Gary Gordon, Editor of ETFExpert.com “Tom Lydon has put together a concise handbook for the active ETF trader outlining the key drivers of successful trend investing. The ETF Trend Following Playbook provides sound advice for traders as well as a comprehensive and up-to-date tour of all the ETF world has to offer.” –Scott Burns, Director of ETF Analysis at Morningstar
Book Synopsis Trading and Electronic Markets: What Investment Professionals Need to Know by : Larry Harris
Download or read book Trading and Electronic Markets: What Investment Professionals Need to Know written by Larry Harris and published by CFA Institute Research Foundation. This book was released on 2015-10-19 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: The true meaning of investment discipline is to trade only when you rationally expect that you will achieve your desired objective. Accordingly, managers must thoroughly understand why they trade. Because trading is a zero-sum game, good investment discipline also requires that managers understand why their counterparties trade. This book surveys the many reasons why people trade and identifies the implications of the zero-sum game for investment discipline. It also identifies the origins of liquidity and thus of transaction costs, as well as when active investment strategies are profitable. The book then explains how managers must measure and control transaction costs to perform well. Electronic trading systems and electronic trading strategies now dominate trading in exchange markets throughout the world. The book identifies why speed is of such great importance to electronic traders, how they obtain it, and the trading strategies they use to exploit it. Finally, the book analyzes many issues associated with electronic trading that currently concern practitioners and regulators.
Book Synopsis Introductory Business and Economic Forecasting by : Paul Newbold
Download or read book Introductory Business and Economic Forecasting written by Paul Newbold and published by Thomson South-Western. This book was released on 1994 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rev. ed. of: Introductory business forecasting. 1990. Includes bibliographical references and index.
Book Synopsis RETRACTED BOOK: 151 Trading Strategies by : Zura Kakushadze
Download or read book RETRACTED BOOK: 151 Trading Strategies written by Zura Kakushadze and published by Springer. This book was released on 2018-12-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
Book Synopsis Alternative Assets and Cryptocurrencies by : Christian Hafner
Download or read book Alternative Assets and Cryptocurrencies written by Christian Hafner and published by MDPI. This book was released on 2019-07-26 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alternative assets such as fine art, wine, or diamonds have become popular investment vehicles in the aftermath of the global financial crisis. Correlation with classical financial markets is typically low, such that diversification benefits arise for portfolio allocation and risk management. Cryptocurrencies share many alternative asset features, but are hampered by high volatility, sluggish commercial acceptance, and regulatory uncertainties. This collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. It gives an overview of their current state and explores their properties and prospects using innovative approaches and methodologies.
Book Synopsis Analyzing Financial Data and Implementing Financial Models Using R by : Clifford S. Ang
Download or read book Analyzing Financial Data and Implementing Financial Models Using R written by Clifford S. Ang and published by Springer Nature. This book was released on 2021-06-23 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online.
Book Synopsis Intermarket Trading Strategies by : Markos Katsanos
Download or read book Intermarket Trading Strategies written by Markos Katsanos and published by John Wiley & Sons. This book was released on 2010-03-11 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows traders how to use Intermarket Analysis to forecast future equity, index and commodity price movements. It introduces custom indicators and Intermarket based systems using basic mathematical and statistical principles to help traders develop and design Intermarket trading systems appropriate for long term, intermediate, short term and day trading. The metastock code for all systems is included and the testing method is described thoroughly. All systems are back tested using at least 200 bars of historical data and compared using various profitability and drawdown metrics.
Download or read book Investing 101 written by Michele Cagan and published by Simon and Schuster. This book was released on 2016 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Contains material adapted from The everything investing book, 3rd edition"--Title page verso.
Book Synopsis Python for Finance by : Yves J. Hilpisch
Download or read book Python for Finance written by Yves J. Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
Book Synopsis Study Guide for Come Into My Trading Room by : Alexander Elder
Download or read book Study Guide for Come Into My Trading Room written by Alexander Elder and published by John Wiley & Sons. This book was released on 2002-10-16 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: STUDY GUIDE FOR Come Into My Trading Room A Complete Guide to Trading You can read Come Into My Trading Room: A Complete Guide to Trading in a few days, but you cannot expect to master every aspect of that invaluable book until you work through it. Study Guide for Come Into My Trading Room: A Complete Guide to Trading will help you learn the profitable methods and techniques of Come Into My Trading Room before risking a dollar in the markets. Study Guide for Come Into My Trading Room: A Complete Guide to Trading parallels the actual book, challenging you at every step with questions that make you focus on all the important areas of trading. Some tests are pencil-and-paper, others have you work with charts, but all prepare you to make crucial decisions. This Study Guide will: Quiz you on the essentials of trading–choosing the markets to trade, finding holes in the Efficient Market Theory, and overcoming common obstacles to success Make you aware of psychological blind spots that lead to losing Test your knowledge of charting and computerized indicators Explore trading systems, day-trading, and advanced concepts, such as Impulse trading and SafeZone stops Ask questions about money management, record-keeping, and managing time Challenge you with eight case studies where you choose entry and exit points and get graded for your performance The best trading strategies, techniques, and tools are only as good as your understanding of them. Pick up this Study Guide for Come Into My Trading Room: A Complete Guide to Trading and convert Dr. Elder's methods into your own powerful and profitable tools.