A practical guide to profiting from the proper use of sentiment indicators In Sentiment Indicators, noted trading expert Abe Cofnas draws on his own trading and training experience as he shares his knowledge about the latest techniques and strategies for using Renko, price break, Kagi, and point and figure tools to successfully analyze all markets. Written with the serious trader in mind, Sentiment Indicators offers key information on these potential-filled tools and how to use each in shaping trading strategies. Along the way, it provides a practical overview of how to implement these little-known indicators and why each can enhance your trading endeavors. Shows how these indicators work in different markets: futures, equities, forex, and others Provides a solid understanding of charting techniques and uses real-world examples to illustrate strategies and tactics Presents new sentiment research that analyzes word mining and what it means for markets From historical context and Robot Trading alerts to the critical factors of a trading system, Sentiment Indicators presents a proven approach to trading that will help you identify conditions that have a high probability of profit.

We construct sentiment indices for 20 countries from 1980 to 2019. Relying on computational text analysis, we capture specific language like “fear”, “risk”, “hedging”, “opinion”, and, “crisis”, as well as “positive” and “negative” sentiments, in news articles from the Financial Times. We assess the performance of our sentiment indices as “news-based” early warning indicators (EWIs) for financial crises. We find that sentiment indices spike and/or trend up ahead of financial crises.

Everything you need to easily get a handle on economic indicators In today's volatile, often troubling economic landscape, there are myriad statistics and reports that paint an economic picture that can sometimes resemble a work by Jackson Pollock. These complex and often-conflicting reports could vex even the savviest investor. Economic Indicators For Dummies explains how to interpret and use key global economic indicators to make solid investments, aid in business planning, and help develop informed decisions. In plain English, it breaks down the complex language and statistics to help you make sense of this critical information. You'll discover how to interpret economic data within the context of other sometimes-conflicting reports and statistics, and use the information to make profitable decisions. You'll understand the meaning of such data as employment indices and housing and construction stats and how they affect stocks, bonds, commodities and international markets . . . and how you can use these statistics to make investment decisions as well as plan strategic goals for business growth. Economic Indicators For Dummies breaks down dozens of statistics and patterns to give you a better understanding of how various sources of data and information can be used. Breaks down jargon and statistical concepts Covers how to use publicly available economic indicators to better position your portfolio, improve returns, and make sensible, long-range business plans Discusses the reliability and timeliness of the collected data, while helping investors prioritize the flow of economic information to avoid information overload Whether you're an investor, economics student, or business professional involved in making key strategic decisions for your company, Economic Indicators For Dummies has you covered.

100+ Technical Indicators for Intraday Trading 1. Trend Indicators 1. Moving Average (MA) 2. Exponential Moving Average (EMA) 3. Weighted Moving Average (WMA) 4. Hull Moving Average (HMA) 5. Moving Average Convergence Divergence (MACD) 6. Average Directional Index (ADX) 7. Parabolic Stop and Reverse (Parabolic SAR) 8. Linear Regression 9. Aroon 10. Ichimoku Kinko Hyo 2. Momentum Indicators 1. Relative Strength Index (RSI) 2. Stochastic Oscillator 3. Williams %R 4. Rate of Change (ROC) 5. Commodity Channel Index (CCI) 6. Ultimate Oscillator 7. Money Flow Index (MFI) 8. Force Index 9. Elder-Ray Index 10. Chande Momentum Oscillator (CMO) 3. Volatility Indicators 1. Bollinger Bands 2. Average True Range (ATR) 3. Keltner Channels 4. Donchian Channels 5. Standard Deviation 6. Historical Volatility 7. Chaikin Volatility 8. Volatility Ratio 9. Average Daily Range (ADR) 10. True Range (TR) 4. Volume Indicators 1. On Balance Volume (OBV) 2. Volume Rate of Change (VROC) 3. Accumulation/Distribution Line (ADL) 4. Chaikin Money Flow (CMF) 5. Money Flow Ratio (MFR) 6. Negative Volume Index (NVI) 7. Positive Volume Index (PVI) 8. Volume Oscillator 9. Volume-Weighted Moving Average (VWMA) 10. Volume-Price Trend (VPT) 5. Support and Resistance Indicators 1. Pivot Points 2. Fibonacci Retracement 3. Fibonacci Extension 4. Gann Fan 5. Gann Square 6. Speed Lines 7. Trendline 8. Resistance Line 9. Support Line 10. Andrews Pitchfork 6. Price Patterns 1. Head and Shoulders 2. Double Top/Double Bottom 3. Triple Top/Triple Bottom 4. Ascending/Descending Triangle 5. Cup and Handle 6. Flag and Pennant 7. Wedge 8. Rectangle 9. Rounded Top/Rounded Bottom 10. Harmonic Patterns 7. Candlestick Patterns 1. Hammer/Hanging Man 2. Inverted Hammer/Shooting Star 3. Engulfing Pattern 4. Harami 5. Morning Star/Evening Star 6. Doji 7. Spinning Top 8. Marubozu 9. Three Black Crows/Three White Soldiers 10. Gravestone Doji/Dragonfly Doji 8. Market Breadth Indicators 1. Advance-Decline Line (AD Line) 2. Advance-Decline Ratio (ADR) 3. Arms Index (TRIN) 4. McClellan Oscillator 5. McClellan Summation Index 6. New Highs-New Lows Index 7. Percentage Price Oscillator (PPO) 8. High-Low Index 9. Bullish Percent Index 10. Market Facilitation Index (MFI) 9. Cycle Indicators 1. Detrended Price Oscillator (DPO) 2. Schaff Trend Cycle (STC) 3. Elliott Wave Theory 4. Time Cycles 5. Kondratiev Wave 6. Gann Time Clusters 7. Hurst Cycle 8. Sinewave Indicator 9. Cycle Period 10. Dynamic Cycle Explorer (DCE) 10. Sentiment Indicators 1. Put/Call Ratio 2. Volatility Index (VIX) 3. Market Sentiment Index 4. Commitments of Traders (COT) Report 5. Consensus Bullish Sentiment Index 6. Short Interest Ratio 7. Margin Debt 8. NYSE Short Interest Ratio 9. Insider Trading Activity 10. AAII Sentiment Survey

"Algorithmic Trading: Technical Indicators" is your go-to guide for unraveling the power of technical indicators in algorithmic trading. If you're intrigued by data-driven signals that inform trading decisions, this book is your key to mastering the art of technical analysis. Designed for traders and investors seeking a practical introduction to technical indicators, this book simplifies the complex world of charts, patterns, and signals. It provides clear insights into how historical price and volume data can drive trading strategies. Explore the fundamental principles of technical analysis, where historical data becomes your ally in making informed trading decisions. Delve into the secrets of candlestick patterns, moving averages, Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Bollinger Bands. These indicators will become your trusted tools for identifying trends, overbought or oversold conditions, and potential reversals. "Algorithmic Trading: Technical Indicators" offers practical guidance on incorporating these indicators into your trading strategy. Discover how to recognize entry and exit points, effectively manage risk with stop-loss and take-profit levels, and enhance your decision-making. This book provides accessible insights without delving into complex technical examples or deep understanding. It's perfect for beginners curious about the power of technical analysis or experienced traders looking to refine their algorithmic strategies. Whether you're new to technical indicators or seeking to enhance your trading skills, "Algorithmic Trading: Technical Indicators" equips you with the knowledge and tools to confidently navigate the world of algorithmic trading through the lens of technical analysis. Join us in harnessing the potential of data-driven trading signals in today's dynamic financial markets.

Viele Händler und aktive Anleger träumen davon, das Handeln professionell zu betreiben. Analysten, Fondsmanager und andere Experten haben zwar eine Fülle an Literatur über Handelsstrategien verfaßt, aber zum Thema 'Erfolgreich Handeln von zu Hause' gab es bislang keine Informationen. Bis jetzt! Hier ist das erste Buch, das sich mit diesem Thema eingehend beschäftigt. Autor Gary Smith handelt seit über 15 Jahren erfolgreich von zu Hause aus. Er ist ein berühmtes und angesehenes Mitglied der Händlergemeinschaft und erklärt, was es heißt, von zu Hause aus zu agieren - mit der nötigen Courage und Hardware. Smith erläutert seine gewinnbringenden Handelsstrategien, die er für Aktien, Optionen und Anleihen einsetzt und demonstriert, wie er diese bei Aktien-Index-Futures und offenen Investmentfonds anwendet. Seine Strategie ist einfach, ohne komplexe technische Indikatoren, ohne verwirrende Charts, ohne große Softwareausstattung und mit geringem Risiko. Ein realistischer Leitfaden für jeden, der professionell einsteigen will. (12/99)

The 2022 International Conference on Information Economy, Data Modeling and Cloud Computing (ICIDC 2022) was successfully held in Qingdao, China from June 17 to 19, 2022. Under the impact of COVID-19, ICIDC 2022 was held adopting a combination of online and offline conference. During this conference, we were greatly honored to have Prof Datuk Dr Hj Kasim Hj Md Mansur from Universiti Malaysia Sabah, Malaysia to serve as our Conference Chairman. And there were 260 individuals attending the conference. The conference agenda was composed of keynote speeches, oral presentations, and online Q&A discussion. The proceedings of ICIDC 2022 cover various topics, including Big Data Finance, E-Commerce and Digital Business, Modeling Method, 3D Modeling, Internet of Things, Cloud Computing Platform, etc. All the papers have been checked through rigorous review and processes to meet the requirements of publication. Data modeling allows us to obtain the dynamic change trend of various indicator data, so how to use big data information to model and study the development trend of economic operation plan is of great significance. And that is exactly the purpose of this conference, focusing on the application of big data in the economic field as well as conducting more profound research in combination with cloud computing.

The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the field of economic management and modeling engineering. Through presentations, discussions, and networking opportunities, participants will have the chance to explore the latest advancements, methodologies, and best practices in these areas. The conference was focused on three main themes: Enterprise Economic Management and Market Mechanism Assessment; Data Statistical Analysis and Economic Forecasting; Industrial Structure Optimization and Economic Green Development. For readers, this collection of papers offers a comprehensive insight into cutting-edge research and case studies, providing valuable information on current trends, challenges, and opportunities in economic management and modeling engineering. Readers will benefit from the diverse perspectives and innovative approaches presented in these papers, inspiring new ideas and solutions for their own research endeavors. Moreover, the positive influence of this conference extends beyond the current discussions. It is expected that the findings and recommendations shared in these proceedings will serve as a foundation for future research in the field of economic management and modeling engineering. By fostering collaboration, knowledge sharing, and academic discourse, this conference aims to contribute to the advancement of the field and stimulate further research initiatives in the years to come.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. With the rapid development of modern economic society, in the process of economic management, informatization has become the mainstream of economic development in the future. At the same time, with the emergence of advanced management technologies such as blockchain technology and big data technology, real market information can be quickly obtained in the process of economic management, which greatly reduces the operating costs of the market economy and effectively enhances the management level of operators, thus contributing to the sustained, rapid and healthy development of the market economy. Under the new situation, the innovative application of economic management research is of great practical significance. 2022 International Conference on Bigdata, Blockchain and Economic Management (ICBBEM 2022) will be held on March 25–27, 2022 in Wuhan, China. ICBBEM 2022 will focus on the latest fields of Bigdata, Blockchain and Economic Management to provide an international platform for experts, professors, scholars and engineers from universities, scientific institutes, enterprises and government-affiliated institutions at home and abroad to share experiences, to expand professional fields, to exchange new ideas face to face, to present research results, and to discuss the key challenging issues and research directions facing the development of this field, with a view to promoting the development and application of theories and technologies in universities and enterprises.