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 Predicting Forex and Stock Market with Fractal Pattern written by Young Ho Seo and published by www.algotrading-investment.com. This book was released on 2020-04-09 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: About this book This book provides you the powerful and brand new knowledge on predicting financial market that we have discovered in several years of our own research and development work. This book will help you to turn your intuition into the scientific prediction method. In the course of recognizing the price patterns in the chart of Forex and Stock market, you should be realized that it was your intuition working at the background for you. The geometric prediction devised in this book will show you the scientific way to predict the financial market using your intuition. Many of us made a mistake of viewing the financial market with deterministic cycle. Even though we knew that market would not show us such a simple prediction pattern, we never stop using the concept of deterministic cycle to predict the financial market, for example, using Fourier transform, and other similar techniques. Why is that so? The reason is simple. It is because no one presented an effective way of predicting stochastic cycle. Stochastic cycle is the true face of the financial market because many variables in the market are suppressing the predictable cycle with fixed time interval. So how we predict the stochastic cycle present in the financial market? The key to answer is the Fractal Pattern and Fractal Wave. The geometric prediction on Fractal Wave solves the puzzles of the stochastic cycle modelling problem together. In another words, your intuition, more precisely your capability to recognize geometric shape, is more powerful than any other technical indicators available in the market. Hence, the geometric prediction, which comes from your intuition, would maximize your ability to trade in the financial market. In this book, Geometric prediction is described as the combined ability to recognize the geometric regularity and statistical regularity from the chart. We provide the examples of geometric regularity and statistical regularity. In addition, we will show you how these regularities are related to your intuition. The chart patterns covered in this book include support, resistance, Fibonacci Price pattern, Harmonic Pattern, Falling Wedge pattern, Rising Wedge pattern, and Gann Angles with probability. We use these chart patterns to detect geometric regularity. Then, we use the turning point probability as the mean of detecting statistical regularity. In our trading, we combine both to improve the trading performance.
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 Predict the Next Bull or Bear Market and Win written by Michael Sincere and published by Simon and Schuster. This book was released on 2014-04-18 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The secrets to making money--no matter what the market conditions! A fundamental guide to investing, Predict the Next Bull or Bear Market and Win shows you how to build your wealth and protect your investments in an ever-changing market. With author and financial expert Michael Sincere's guidance, you'll learn everything you need to know about the key economic indicators that can help you predict the market's performance and better understand when to sell and when to buy. Unlike competing books that attempt a comprehensive survey of all market indicators, Sincere focuses only on those that make a real impact. His clear, concise strategies show you how to prosper during bull markets, be cautious during sideways markets, and make a profit when the market is going down. Predict the Next Bull or Bear Market and Win thoroughly educates you on the small number of indicators that are essential to a growing portfolio in a tumultuous market. By understanding the right economic indicators, you'll learn how to make money in any kind of market!
Download or read book Breakthrough Strategies for Predicting Any Market written by Jeff Greenblatt and published by John Wiley & Sons. This book was released on 2013-09-30 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revised and updated edition of the book that changed the way you think about trading In the Second Edition of this groundbreaking book by star trader Jeff Greenblatt, he continues to shares his hard-won lessons on what it takes to be a professional trader, while detailing his proven techniques for mastering market timing. With the help of numerous case studies and charts, Greenblatt develops his original high-probability pattern recognition system which, once mastered, endows its user with a deeper understanding of how the markets really work and boosts the efficiency of any trading methodology. Following in the footsteps of the great W.D. Gann, Jeff Greenblatt helps investors gain greater precision with any instrument they trade, during any time frame. Shows how to combine a variety of technical indicators to pinpoint turning points in the financial markets Makes even the most complex subject matter easy to understand with crystal-clear explanations and step-by-step guidance on all concepts, terms, processes, and techniques Reveals how to use Elliott Wave Analysis, Fibonacci, candlesticks, and momentum indicators to interpret market movements Breakthrough Strategies for Predicting Any Market shares fascinating and enlightening personal anecdotes from Jeff Greenblatt's career along with his candid reflection on developing and maintaining the mental discipline of a successful trader.
Download or read book News and Trading Rules written by James D. Thomas and published by . This book was released on 2003 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "AI has long been applied to the problem of predicting financial markets. While AI researchers see financial forecasting as a fascinating challenge, predicting markets has powerful implications for financial economics -- in particular the study of market efficiency. Recently economists have turned to AI for tools, using genetic algorithms to build trading strategies, and exploring the returns those strategies generate of evidence of market inefficiency. The primary aim of this thesis is to take this basic approach, and put the artificial intelligence techniques used on a firm footing, in two ways: first, by adapting AI techniques to the stunning amount of noise in financial data; second, by introducing a new source of data untapped by traditional forecasting methods: news. I start with practitioner-developed technical analysis constructs, systematically examining their abiity to generate trading rules profitable on a large universe of stocks. Then, I use these technical analysis constructs as the underlying representation for a simple trading rule leaner, with close attention paid to limiting search and representation to fight over-fitting. In addition, I exlore the use of ensemble methods to improve performance. Finally, I introduce the use of textual data from internet message boards and news stories, studying their use both in isolation as well as augmenting numerical trading strategies."
Download or read book Predicting Market Reactions to Bad News written by Xiaowen Yu and published by . This book was released on 2018 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our Applied Finance Project aims to develop a framework to predict short-term and medium-term market reactions to bad news shocks. The study is based on a sample of 18,497 bad news articles and time series of 1,008 Russell 3000 stocks returns during the period 2005 to 2017. Our research proposes a three-stage model for the analysis. Firstly, given a dataset of bad news events and stock prices, we employ time series clustering techniques on cumulative abnormal returns of stocks, by which the news articles related to those stocks are grouped into different clusters. Secondly, we apply Natural Language Processing and multi-class classification algorithms on relevant news articles to extract features of each cluster. Then, by applying Support Vector Machine model, whenever specific bad news is released, we can predict the subsequent short-term, and medium-term market reactions post negative news. Finally, we develop long/short trading strategy for both short-term and medium-term horizons that asset managers in the real world can apply every day.
Download or read book Price Forecasting Models for NewStar Financial Inc NEWS Stock written by Ton Viet Ta and published by Independently Published. This book was released on 2020-09-04 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to earn up to a 1755998% annual return on your money by two trades per day on NewStar Financial, Inc. NEWS Stock? Reading this book is the only way to have a specific strategy. This book offers you a chance to trade NEWS Stock at predicted prices. Eight methods for buying and selling NEWS Stock at predicted low/high prices are introduced. These prices are very close to the lowest and highest prices of the stock in a day. All methods are explained in a very easy-to-understand way by using many examples, formulas, figures, and tables. The BIG DATA of the 164 consecutive trading days (from January 13, 2020 to September 3, 2020) are utilized. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each takes you no more than 30 seconds for calculation to obtain a specific predicted price. The methods are not transient. They cannot be beaten by Mr. Market in several years, even until the stock doubles its current age. They are traits of Mr. Market. The reason is that the author uses the law of large numbers in the probability theory to construct them. In other words, you can use the methods in a long time without worrying about their change. The efficiency of the methods can be checked easily. Just compare the predicted prices with the actual price of the stock while referring to the probabilities of success which are shown clearly in the book (click the LOOK INSIDE button to read more information before buying this book). Depending on the number of investors who are interested in this book, the performance of the methods from the publication date will be added to the book after one year, and will be stated here in the description of the book too. You will then see that the methods in this book are outstanding or not. The book is very useful for Investors who have decided to buy the stock and keep it for a long time (as the strategy of Warren Buffett), or to sell the stock and pay attention to other stocks. The methods will help them to maximize profits for their decision. Day traders who buy and sell the stock many times in a day. Although each method is valid one time per day, the information from the methods will help the traders buy/sell the stock in the second time, third time or more in a day. Beginners to NEWS Stock. The book gives an insight about the behavior of the stock. They will surely gain their knowledge of NEWS Stock after reading the book. Everyone who wants to know about the U.S. stock market.
Download or read book Breakthrough Strategies for Predicting Any Market written by Jeff Greenblatt and published by John Wiley & Sons. This book was released on 2012-09-27 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book that will forever change the way you think about trading and take your technical analysis to the next level Certain to become one of the great trading books of the 21st century, Breakthrough Strategies for Predicting Any Market is star trader, Jeff Greenblatt’s maxim opus. In it he shares his hard-won lessons on what it takes to be a professional trader, while detailing his proven techniques for mastering market timing. With the help of numerous case studies and charts, Jeff develops his original high-probability pattern recognition system which, once mastered endows its user with a deeper understanding of how the markets really work and boosts the efficiency of any trading methodology by an order of magnitude. Following in the footsteps of the great W.D. Gann, Jeff helps you gain greater precision in any instrument you trade, on any time frame. Actual market examples supplemented with 120 charts of stocks, bonds, commodities in multiple time frames from minutes to 10 years starting with varied combination of price, volume and momentum studies Makes even the most complex subject matter easy to understand with crystal-clear explanations and step-by-step guidance on all concepts, terms, processes and techniques Shares fascinating and enlightening personal anecdotes from Jeff Greenblatt’s career along with his candid reflection on getting and maintaining the mental discipline of a successful trader Identifies potential support and resistance levels, including envelope and channel analysis and Fibonacci ratios, and demonstrates that most reversals and breakouts occur on an key time bar
Download or read book Trading on Corporate Earnings News written by John Shon and published by FT Press. This book was released on 2011-03-09 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Profit from earnings announcements, by taking targeted, short-term option positions explicitly timed to exploit them! Based on rigorous research and huge data sets, this book identifies the specific earnings-announcement trades most likely to yield profits, and teaches how to make these trades—in plain English, with real examples! Trading on Corporate Earnings News is the first practical, hands-on guide to profiting from earnings announcements. Writing for investors and traders at all experience levels, the authors show how to take targeted, short-term option positions that are explicitly timed to exploit the information in companies’ quarterly earnings announcements. They first present powerful findings of cutting-edge studies that have examined market reactions to quarterly earnings announcements, regularities of earnings surprises, and option trading around corporate events. Drawing on enormous data sets, they identify the types of earnings-announcement trades most likely to yield profits, based on the predictable impacts of variables such as firm size, visibility, past performance, analyst coverage, forecast dispersion, volatility, and the impact of restructurings and acquisitions. Next, they provide real examples of individual stocks–and, in some cases, conduct large sample tests–to guide investors in taking advantage of these documented regularities. Finally, they discuss crucial nuances and pitfalls that can powerfully impact performance.
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 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 Predict Market Swings With Technical Analysis written by Michael McDonald and published by John Wiley & Sons. This book was released on 2002-10-02 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fresh perspective on predicting the market The experience of Wall Street investment manager and analyst Michael McDonald offers a new perspective on how to navigate the turbulent ups and downs of the markets. His innovative approach to the stock market teaches investors how to use new investment strategies intended to replace the "buy and hold forever" strategies of yesterday. McDonald discusses what a "trading range" market is-a roller-coaster ride in which the market will neither gain nor lose much ground-and guides readers through this market with his proven investment strategies. This book provides an understandable way to make sense of the unpredictable stock market, taking into account more complex theories, including chaos and contrarian approaches. Along with his expert advice, McDonald presents four investing paradoxes that will help investors make smarter decisions now and predict where the market is heading, using his proven theories.
Download or read book Semantic News Analysis Prediction written by Seth R. Orell and published by . This book was released on 2011 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Active stock trading firms have a need for quick analysis of financial news items. News affects markets. Predicting how a news article may move a stock's price can give a trader an edge over competitors and this involves the automatic understanding of a news item's semantics. Years of research on semantic Web Services has yielded a variety of techniques to discern or provide meaning beyond the basic WSDL syntax. I believe that this research into Web Service semantics has relevance in other fields, specifically the content analysis of news as it applies to markets. The purpose of the present study is to determine if specific academic models of Web-based semantic analysis can be utilized to provide market price predictions. The study's design allows for an objective measure of accuracy by comparing predictions against actual market changes. In the study, I explore the application of current "Top-Down" Web service semantic analyzers to distill the various approaches into abstract concepts. I take a common approach of textual content matching and apply it with and without synonym-analysis (a form of spread activation) with promising results. Using the securities in the Russell 1000 Index (chosen for market liquidity and activity), I collected corresponding news articles from Reuters for 8 months. For each article, I pulled one-minute snapshots of market data for the article's publishing date and corre-sponding security. I then divided the news items into two groups: an in-sample learning set and an out-of-sample input set. The in-sample set of news provided "predictions" for price movement and I could contrast this against what the input item actually did in the market. Simple semantic analysis produced encouraging results with a rate of return (profit) better than random for shorter hold durations (one to five minutes). A synonym-based strategy showed a stronger return for longer hold periods (thirty to forty-five minutes). Both strategies performed better than a random matching approach, which lost money for every hold duration. These results show potential for similar and broader market analysis using established academic models of semantic Web analysis"--Abstract.
Download or read book Institutional Trading Around Corporate News written by Alan Guoming Huang and published by . This book was released on 2019 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine institutional trading surrounding corporate news by combining a comprehensive database of newswire releases on U.S. firms with a high-frequency database of institutional trades. To identify the ability of institutions to predict or quickly interpret news, we form “news clusters” of related news about a particular firm that occurs in rapid succession. We find that institutions chiefly trade on the tone of news directly after the earliest news release in a cluster, and such news-motivated trading predicts returns over the following weeks. Our results suggest that institutional investors contribute to price efficiency by the speedy interpretation of public information.
Download or read book Three Lines written by R. Rana and published by Createspace Independent Publishing Platform. This book was released on 2016-01-30 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three Lines is a practical guide to foreign exchange trading that offers a simple strategy for forecasting future price movements based on the fundamental economic mechanism of demand and supply. Just a few years ago, it was nearly impossible for the average investor to trade in the forex market online. What was once the domain of corporations, large financial institutions, central banks, hedge funds, and very wealthy individuals is now open to just about anyone with an Internet connection. Today, the forex is one of the largest financial markets in the world. The forex market is driven by demand and supply. The primary purpose of this book is to show how a trader can effectively predict the next price move, once he knows how to spot demand and supply imbalance points on what are known as candlestick charts. Topics covered include: Introduction to the foreign exchange Technical analysis Trends in forex markets Demand and supply zones Trading psychology Money management tips Trading plans Using the Metatrader 4 platform Whether you're a novice or a professional trader, you're sure to gain something new from the in-depth information and pragmatic advice provided in this book.
Download or read book The Handbook of News Analytics in Finance written by Gautam Mitra and published by John Wiley & Sons. This book was released on 2011-07-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling.
