Download or read book Predicting and Trading the News written by Steve Norman and published by Steve Norman. This book was released on 2023-04-19 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trading does not need to be complicated. This book intends to show the reader how a relatively simple approach to reading price action at key levels can be used for trading the news, as well as non-news trading, with some remarkable profits in very quick time. There are plenty of chart examples, showing real trades as well as theoretical ones; even some where the trades didn’t work out. You can trade almost any instrument that’s likely to be moved by a scheduled news event; be it forex, indices, crypto or commodities. Timing is key: when you can enter a trade before the news is released, from seconds before to hours before, your risk to reward will often be multiplied many times over, compared to waiting for the data to be published. When you can’t enter before the stats are known, or price does the opposite to expectations, there are ways to get in on the dominant move to reap the rewards.
Download or read book Day Trading and Swing Trading the Currency Market written by Kathy Lien and published by John Wiley & Sons. This book was released on 2015-12-01 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Play the forex markets to win with this invaluable guide to strategy and analysis Day Trading and Swing Trading the Currency Market gives forex traders the strategies and skills they need to approach this highly competitive arena on an equal footing with major institutions. Now in it's third edition, this invaluable guide provides the latest statistics, data, and analysis of recent events, giving you the most up-to-date picture of the state of the fast-moving foreign exchange markets. You'll learn how the interbank currency markets work, and how to borrow strategy from the biggest players to profit from trends. Clear and comprehensive, this book describes the technical and fundamental strategies that allow individual traders to compete with bank traders, and gives you comprehensive explanations of strategies involving intermarket relationships, interest rate differentials, option volatilities, news events, and more. The companion website gives you access to video seminars on how to be a better trader, providing another leg up in this competitive market. The multi-billion-dollar foreign exchange market is the most actively traded market in the world. With online trading platforms now offering retail traders direct access to the interbank foreign exchange market, there's never been a better time for individuals to learn the ropes of this somewhat secretive area. This book is your complete guide to forex trading, equipping you to play with the big guys and win—on your own terms. Understand how the foreign currency markets work, and the forces that move them Analyze the market to profit from short-term swings using time-tested strategies Learn a variety of technical trades for navigating overbought or oversold markets Examine the unique characteristics of various currency pairs Many of the world's most successful traders have made the bulk of their winnings in the currency market, and now it's your turn. Day Trading and Swing Trading the Currency Market is the must-have guide for all foreign exchange traders.
Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Download or read book Technical Analysis of the Financial Markets written by John J. Murphy and published by Penguin. This book was released on 1999-01-01 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.
Download or read book Forecasting Expected Returns in the Financial Markets written by Stephen Satchell and published by Elsevier. This book was released on 2011-04-08 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Download or read book Applied Latent Class Analysis written by Jacques A. Hagenaars and published by Cambridge University Press. This book was released on 2002-06-24 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.
Download or read book Trading on Sentiment written by Richard L. Peterson and published by John Wiley & Sons. This book was released on 2016-03-04 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: In his debut book on trading psychology, Inside the Investor’s Brain, Richard Peterson demonstrated how managing emotions helps top investors outperform. Now, in Trading on Sentiment, he takes you inside the science of crowd psychology and demonstrates that not only do price patterns exist, but the most predictable ones are rooted in our shared human nature. Peterson’s team developed text analysis engines to mine data - topics, beliefs, and emotions - from social media. Based on that data, they put together a market-neutral social media-based hedge fund that beat the S&P 500 by more than twenty-four percent—through the 2008 financial crisis. In this groundbreaking guide, he shows you how they did it and why it worked. Applying algorithms to social media data opened up an unprecedented world of insight into the elusive patterns of investor sentiment driving repeating market moves. Inside, you gain a privileged look at the media content that moves investors, along with time-tested techniques to make the smart moves—even when it doesn’t feel right. This book digs underneath technicals and fundamentals to explain the primary mover of market prices - the global information flow and how investors react to it. It provides the expert guidance you need to develop a competitive edge, manage risk, and overcome our sometimes-flawed human nature. Learn how traders are using sentiment analysis and statistical tools to extract value from media data in order to: Foresee important price moves using an understanding of how investors process news. Make more profitable investment decisions by identifying when prices are trending, when trends are turning, and when sharp market moves are likely to reverse. Use media sentiment to improve value and momentum investing returns. Avoid the pitfalls of unique price patterns found in commodities, currencies, and during speculative bubbles Trading on Sentiment deepens your understanding of markets and supplies you with the tools and techniques to beat global markets— whether they’re going up, down, or sideways.
Download or read book The StockTwits Edge written by Howard Lindzon and published by John Wiley & Sons. This book was released on 2011-06-09 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Profitable trade set-ups from StockTwits leading traders One of the biggest secrets on Wall Street is that to become consistently profitable, you need to specialize in a distinct setup. That is, you need to know how to read the signals that can help you identify an opportunity to buy or sell. In The StockTwits Edge: 40 Actionable Trade Setups from Real Market Pros, both well-known professional masters of the market and lesser-known individual traders describe their highest probability setups to teach you about an assortment of time frame and asset class-related market methods along the way. Drawing on the wisdom of some of the top minds at StockTwits, the leading stock market social networking site, this book has something for everyone, giving you exactly what you need to come up with profitable ideas and avoid financial risk, every day. Includes key trading insights from the experts at StockTwits Explains which factors of a setup are important, and why While there are many factors involved in successful trading and investing, the ability to identify profitable situations is paramount, and The StockTwits Edge gives you everything you need to achieve that goal.
Download or read book Artificial Neural Network Modelling written by Subana Shanmuganathan and published by Springer. This book was released on 2016-02-03 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.
Download or read book The Foreign Exchange Matrix written by Barbara Rockefeller and published by Harriman House Limited. This book was released on 2013-02-11 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The foreign exchange market is huge, fascinating and yet widely misunderstood by participants and non-participants alike. This is because its unanswered questions are numerous. For instance, what is the purpose of the $4 trillion per day trading volume? What determines currency trends and who are the players in the FX arena? Does FX drive other financial markets, or is it the passive end-product of all the other markets? FX is without clear supply and demand factors, so how do traders determine sentiment and price direction? Much is written in an effort to answer these questions, but a lot of it is just noise. In the 12 pieces here, Barbara Rockefeller and Vicki Schmelzer draw on their combined 50 years' experience in foreign exchange to cut through the clutter and provide an elegant and razor-sharp look at this market. Their analysis is accurate, useful and enlivened by many anecdotes and examples from historic market events. They cover: - How the matrix concept can help observers understand foreign exchange market action - What professional FX traders take into consideration before entering into positions - Whether the FX market can be forecast - The interplay between foreign exchange and other financial markets - How technology has levelled the playing field between big and small players, and at what cost - Whether the prospect of reserve currency diversification away from the dollar is likely - The toolkit that central banks use to manage national economies and the effect of this on currencies 'The Foreign Exchange Matrix' is the go-to book for anyone seeking a deeper understanding of the world of foreign exchange.
Download or read book Learning from Data written by Vladimir Cherkassky and published by John Wiley & Sons. This book was released on 2007-09-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
Download or read book Support Vector Machines written by Naiyang Deng and published by CRC Press. This book was released on 2012-12-17 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which
Download or read book Advances in Data Mining Applications and Theoretical Aspects written by Petra Perner and published by Springer. This book was released on 2017-06-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017. The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.
Download or read book Predictocracy written by Michael Abramowicz and published by Yale University Press. This book was released on 2008-10-01 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predicting the future is serious business for virtually all public and private institutions, for they must often make important decisions based upon such predictions. This text explores how institutions might improve their predictions and arrive at better decisions by means of prediction markets.
Download or read book Introduction to Modern Information Retrieval written by Gerard Salton and published by New York ; Montreal : McGraw-Hill. This book was released on 1983 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines Concepts, Functions & Processes of Information Retrieval Systems
Download or read book World Event Trading written by Andrew Busch and published by John Wiley & Sons. This book was released on 2007-10-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an age of twenty-four-hour news coverage and cutting-edge technology, world events dominate our lives and impact the financial markets. From hurricanes to the war in Iraq, we exist in a crazy, connect-the-dot planet. However, the well-prepared investor can turn these events into profits. All they need is the ability to recognize the consistent characteristics of these events and the vision to build a strategy or portfolio that can take advantage of these situations when they begin to unfold. As a foreign exchange strategist with over twenty years of financial experience, author Andrew Busch knows what it takes to make it in today’s dynamic market. And now, with World Event Trading, he wants to show you how. Filled with in-depth insights and expert advice, this practical guide examines three categories of world events—infectious diseases, natural disasters, and politics—and provides hands-on strategies for trading profitably on each. Using actual examples of the war in Iraq, Hurricane Katrina, and other recent "page one stories," Busch shows you how to understand all-important market moods and anticipate profitable trades. He also reveals little-known details on legendary event-driven trading successes, illustrating how any trader can repeat them in different market environments. Andrew Busch is the Global FX Market Strategist for BMO Financial Group’s Investment Banking Division in Chicago. He is a recognized expert on the world financial markets and how these markets are impacted by political events. Busch’s views appear in his daily newsletter, the Busch Update, which reaches 5,000 investors and financial professionals. He also writes a weekly column that appears on The Globe and Mail Web site on Fridays and in print on Mondays (circulation 40,000). Busch makes weekly appearances on CNBC’s Closing Bell with Maria Bartiromo and is frequently quoted by the Wall Street Journal as well as other news services. He graduated Phi Beta Kappa with a BA in economics from Ohio Wesleyan University and received an MBA from the University of Chicago.
