Trading On Sentiment Pdf
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Data Science for Economics and Finance
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.
Sentiment in the Forex Market
Crowds move markets and at major market turning points, the crowds are almost always wrong. When crowd sentiment is overwhelmingly positive or overwhelmingly negative ? it's a signal that the trend is exhausted and the market is ready to move powerfully in the opposite direction. Sentiment has long been a tool used by equity, futures, and options traders. In Sentiment in the Forex Market, FXCM analyst Jaime Saettele applies sentiment analysis to the currency market, using both traditional and new sentiment indicators, including: Commitment of Traders reports; time cycles; pivot points; oscillators; and Fibonacci time and price ratios. He also explains how to interpret news coverage of the markets to get a sense of when participants have become overly bullish or bearish. Saettele points out that several famous traders such as George Soros and Robert Prechter made huge profits by identifying shifts in crowd sentiment at major market turning points. Many individual traders lose money in the currency market, Saettele asserts, because they are too short-term oriented and trade impulsively. He believes retail traders would be much more successful if they adopted a longer-term, contrarian approach, utilizing sentiment indicators to position themselves at the beginning points of major trends.
Inside the Investor's Brain
Author: Richard L. Peterson
language: en
Publisher: John Wiley & Sons
Release Date: 2011-01-11
Unique insights into how the mind of an investor operates and how developing emotional awareness leads to long-term success Inside the Investor's Brain provides readers with specific techniques for understanding their financial psychology, so that they can improve their own performance and learn how to outsmart other investors. Chapter by chapter, author Richard Peterson addresses various mental traps and how they play a role in investing. Through examples, such as a gambling experiment with playing cards, the author shows readers how being aware of the subconscious can separate the smart investors from the average ones. This book also contains descriptions of the work of neuroscientists, financial practitioners, and psychologists, offering an expert's view into the mind of the market. Innovative and accessible, Inside the Investor's Brain gives investors the tools they need to better understand how emotions and mental biases affect the way they manage money and react to market moves.