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Author: Steve Norman Publisher: Steve Norman ISBN: Category : Business & Economics Languages : en Pages : 110
Book Description
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.
Author: Steve Norman Publisher: Steve Norman ISBN: Category : Business & Economics Languages : en Pages : 110
Book Description
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.
Author: Sergio Consoli Publisher: Springer Nature ISBN: 3030668916 Category : Application software Languages : en Pages : 357
Book Description
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.
Author: Kathy Lien Publisher: John Wiley & Sons ISBN: 1119220106 Category : Business & Economics Languages : en Pages : 291
Book Description
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.
Author: John J. Murphy Publisher: Penguin ISBN: 0735200661 Category : Business & Economics Languages : en Pages : 579
Book Description
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.
Author: Jacques A. Hagenaars Publisher: Cambridge University Press ISBN: 1139439235 Category : Social Science Languages : en Pages : 478
Book Description
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.
Author: Stephen Satchell Publisher: Elsevier ISBN: 0080550673 Category : Business & Economics Languages : en Pages : 299
Book Description
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
Author: Stefan Jansen Publisher: Packt Publishing Ltd ISBN: 1839216786 Category : Business & Economics Languages : en Pages : 822
Book Description
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.
Author: Richard L. Peterson Publisher: John Wiley & Sons ISBN: 1119163757 Category : Business & Economics Languages : en Pages : 317
Book Description
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.
Author: Howard Lindzon Publisher: John Wiley & Sons ISBN: 1118089278 Category : Business & Economics Languages : en Pages : 360
Book Description
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.
Author: Steve Norman
Author: Steve Norman
Author: Sergio Consoli
Author: Kathy Lien
Author: John J. Murphy
Author: Jacques A. Hagenaars
Author: Stephen Satchell
Author: Stefan Jansen
Author: Richard L. Peterson
Author: Gerard Salton
Author: Howard Lindzon