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| artificial intelligence forex trading: Forex Trading Robot and A.I. Development Nsikak Edet, 2020-10-15 Forex trading is big business and looks like a time-consuming task to undertake. Most potential traders who would otherwise have started trading are overwhelmed just by the thought of the time it will take to learn forex trading not to talk of actually executing a trade. The time-consuming part would have been true some decades ago. However, at the moment, I would say I beg to differ. This book is written to show you that the time we live in now is The Age of the Machines, just press play, and let the robots do the trading for you. Without dwelling on irrelevant stories, I will go straight into revealing what you are about to learn in this book: ✅A step-by-step process of how to develop your own custom forex indicator robots ✅You need ZERO knowledge of robotics, coding, or programming to be able to create your own robot and Artificial Intelligence (A.I.). ✅How to develop a forex indicator robot for Moving Averages ✅How to develop a forex indicator robot for support and resistance ✅How to develop breakout momentum forex indicator robot using Bollinger Bands ✅How to develop breakout momentum forex indicator robot using Wedge or Squeeze ✅How to develop runaway gapping forex indicator robot ✅How to develop a multi-timeframe forex indicator robot ✅How to develop a math-driven Parabolic SAR forex indicator robot. ✅A step-by-step process of how to develop your own custom forex trading robot ✅How to develop a NON-FARM PAYROLL forex trading robot ✅How to easily convert all your indicators to trading robots that will trade on your behalf. ✅How to make your robot trade for you even when your computer or phone is turned off. ✅How to find entry points for your robot to trade ✅Understanding A.I, smart forex robot, machine learning in forex robot development, and quantum forex robot trading. Many more things you will learn are all included in this book. You can only find out about all these if you get a copy of this book. |
| artificial intelligence forex trading: Machine Learning for Algorithmic Trading Stefan Jansen, 2020-07-31 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. |
| artificial intelligence forex trading: Python for Algorithmic Trading Yves Hilpisch, 2020-11-12 Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms |
| artificial intelligence forex trading: Tech Innovation in Forex Trading Jennifer Lawson, 2024-08-04 In the rapidly evolving world of Forex trading, staying ahead of the curve requires more than just traditional strategies and intuition. Tech Innovation in Forex Trading: Leveraging AI and Machine Learning is your comprehensive guide to understanding and implementing cutting-edge technology in the Forex market. This book takes you on a journey through the history and evolution of Forex trading, highlighting the pivotal role of technology in transforming the industry. As Forex markets become increasingly complex and data-driven, the importance of artificial intelligence (AI) and machine learning (ML) in trading has never been more critical. |
| artificial intelligence forex trading: Supercharged Trading with Artificial Intelligence Louis Mendelsohn, 2018-09-19 This book explores the application of artificial intelligence - specifically deep machine learning neural networks - to intermarket analysis. It examines the role that intermarket analysis plays in assisting traders to identify trends and predict changes in trend directions and prices, in view of the unprecedented extent to which global financial markets have become interconnected and interdependent. This book will be of interest to both experienced traders and newcomers to the financial markets, who are inclined toward technical analysis and wish to benefit financially from the wealth creation opportunities in today's global financial markets. |
| artificial intelligence forex trading: Foreign-Exchange-Rate Forecasting with Artificial Neural Networks Lean Yu, Shouyang Wang, Kin Keung Lai, 2010-02-26 This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges. |
| artificial intelligence forex trading: Artificial Intelligence in Finance Yves Hilpisch, 2020-10-14 The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about |
| artificial intelligence forex trading: The Forex Trading Course Abe Cofnas, 2015-07-20 EXPERT, DEPENDABLE FOREX COACHING—UPDATED TO KEEP YOU AHEAD IN AN EVOLVING MARKET The Forex Trading Course is the systematic guide aspiring traders need to enter the market with the confidence and skills necessary to generate wealth. Masterfully written so both basic and complex concepts are readily accessible, this all-inclusive training tool outlines a practical course of action to develop strategies integrating fundamental and technical analysis. It also demonstrates how to identify high-probability patterns and trades, adjust your trading plan for different account sizes, use emotional intelligence to improve trading performance, and much more. This second edition is fully revised to address: • Changes brought about by quantitative easing and central bank intervention—including greater spikes and disruptions in the forex and the influence of global growth and inflation on the market • Using binary options with forex trades to make accurate predictions on direction, targets, and stops • Social media trading and how to navigate herding behavior and swarming patterns • The latest insights and trends in cryptocurrencies such as Bitcoin Complete with practice assignments to reinforce the material and a supplemental website to enhance your knowledge, The Forex Trading Course, Second Edition unlocks your optimal potential for profitable currency trading. |
| artificial intelligence forex trading: Artificial Intelligence Applications and Innovations Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguez, 2023-05-31 This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning. |
| artificial intelligence forex trading: Automation of Trading Machine for Traders Jacinta Chan, 2019-12-02 This Palgrave Pivot innovatively combines new methods and approaches to building dynamic trading systems to forecast future price direction in today’s increasingly difficult and volatile financial markets. The primary purpose of this book is to provide a structured course for building robust algorithmic trading models that forecast future price direction. Chan provides insider information and insights on trading strategies; her knowledge and experience has been gained over two decades as a trader in foreign exchange, stock and derivatives markets. She guides the reader to build, evaluate, and test the predictive ability and the profitability of abnormal returns of new hybrid forecasting models. |
| artificial intelligence forex trading: Forex Trading Using Intermarket Analysis Louis B. Mendelsohn, 2006-03 In today's global marketplace, currency values fluctuate every day and foreign exchange is the biggest market of them all, trading well over $1 trillion a day--more than all other markets combined! Master this market that never sleeps, and you could be a big winner. Just to survive in the hottest marketplace in the world, you will have to learn how to stay one step ahead of the game. This book is intended for traders and investors who use technology to win. |
| artificial intelligence forex trading: AI and Financial Markets Shigeyuki Hamori, Tetsuya Takiguchi, 2020-07-01 Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets. |
| artificial intelligence forex trading: Building Trading Bots Using Java Shekhar Varshney, 2016-12-07 Build an automated currency trading bot from scratch with java. In this book, you will learn about the nitty-gritty of automated trading and have a closer look at Java, the Spring Framework, event-driven programming, and other open source APIs, notably Google's Guava API. And of course, development will all be test-driven with unit testing coverage. The central theme of Building Trading Bots Using Java is to create a framework that can facilitate automated trading on most of the brokerage platforms, with minimum changes. At the end of the journey, you will have a working trading bot, with a sample implementation using the OANDA REST API, which is free to use. What You'll Learn Find out about trading bots Discover the details of tradeable instruments and apply bots to them Track and use market data events Place orders and trades Work with trade/order and account events Who This Book Is For Experienced programmers new to bots and other algorithmic trading and finance techniques. |
| artificial intelligence forex trading: The Front Office Tom Costello, 2021-02-05 Getting into the Hedge Fund industry is hard, being successful in the hedge fund industry is even harder. But the most successful people in the hedge fund industry all have some ideas in common that often mean the difference between success and failure. The Front Office is a guide to those ideas. It's a manual for learning how to think about markets in the way that's most likely to lead to sustained success in the way that the top Institutions, Investment Banks and Hedge Funds do. Anyone can tell you how to register a corporation or how to connect to a lawyer or broker. This isn't a book about those 'back office' issues. This is a book about the hardest part of running a hedge fund. The part that the vast majority of small hedge funds and trading system developers never learn on their own. The part that the accountants, settlement clerks, and back office staffers don't ever see. It explains why some trading systems never reach profitability, why some can't seem to stay profitable, and what to do about it if that happens to you. This isn't a get rich quick book for your average investor. There are no easy answers in it. If you need someone to explain what a stock option is or what Beta means, you should look somewhere else. But if you think you're ready to reach for the brass ring of a career in the institutional investing world, this is an excellent guide. This book explains what those people see when they look at the markets, and what nearly all of the other investors never do. |
| artificial intelligence forex trading: Advances in Financial Machine Learning Marcos Lopez de Prado, 2018-01-23 Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance. |
| artificial intelligence forex trading: 17 Proven Currency Trading Strategies, + Website Mario Singh, 2013-02-11 A comprehensive guide to Forex trading for individual investors Countless money-making opportunities abound in the Foreign Exchange (Forex) market every day, but how does an amateur investor take advantage of these opportunities to earn high returns? This book by CNBC-featured Forex Expert Mario Singh provides a comprehensive solution to this question. Following the first section that explains in plain English—what is Forex trading, how money is made in the Forex game, the six major players involved, and the importance of knowing one's Trader Profile—the second section focuses on specific and practical guidance which includes: A Trader Profile Test to help the reader get a clear picture of his natural trading style and which of five trading profiles he belongs to (Scalper, Day Trader, Swing Trader, Position Trader or Mechanical Trader) 17 proven trading strategies (between 2 to 5 strategies for each trader profile) for the reader to immediately start cashing in on the Forex market Descriptions of an array of real-world trading scenarios, with tips on how to address them A section that shows the reader how to custom-tailor a trading system designed for his sensibilities and risk tolerance Forex hedging strategies for finance professionals at multinational corporations Short on theory and long on practical insights and step-by-step guidance, 17 Proven Currency Trading Strategies—How To Profit in the Forex Market will help anyone—from beginners to professionals, and everyone in between—to master the Forex market and be consistently profitable. |
| artificial intelligence forex trading: The FX Bootcamp Guide to Strategic and Tactical Forex Trading Wayne McDonell, 2008-10-03 A straightforward guide to trading today's dynamic Forex market Written by Wayne McDonell, the Chief Currency Coach at FX Bootcamp, this book shows readers how to successfully trade the Forex market on their own. FX Bootcamp's Guide to Strategic and Tactical Forex Trading skillfully explains how to combine popular technical indicators to formulate a comprehensive market strategy. Readers will then learn how to focus on using this information to create a tactical trading plan--one that will help them pull the trigger to get in and out of a trade. Along the way, McDonell takes the time to discuss the various challenges a Forex trader faces, such as greed, fear, loss, and isolation. As a Forex trader and educator of traders, Wayne McDonell knows what it takes to make it in the competitive world of Forex. And with FX Bootcamp's Guide to Strategic and Tactical Forex Trading he shows readers how. |
| artificial intelligence forex trading: Machine Trading Ernest P. Chan, 2017-02-06 Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions. |
| artificial intelligence forex trading: Forex Trend Classification by Machine Learning Areej A. Baasher, Mohamed W. Fakhr, 2016-11-17 |
| artificial intelligence forex trading: Emerging Trends in Forex Trading Professional Level CPA John Kimani , Dr. James Scott , 2023-06-26 Algorithmic Trading Social Trading Machine Learning in Forex Trading Cryptocurrency Trading High-Frequency Trading Artificial Intelligence in Forex Tradi Trading Psychology Risk Management in Forex Trading |
| artificial intelligence forex trading: Special Topics in Forex Trading Professional Level CPA John Kimani , Dr. James Scott , 2023-07-01 • Algorithmic Trading in Forex • Trading Cryptocurrencies in Forex • Forex Trading with Artificial Intelligence • Forex Trading with Sentiment Analysis • Trading Non-Fungible Tokens (NFTs) in Forex • Forex Trading with Social Media Data • Forex Trading with Futures Contracts • Forex Trading with Sustainable Investments |
| artificial intelligence forex trading: Agent and Multi-agent Technology for Internet and Enterprise Systems Anne Hakansson, Ronald Hartung, Ngoc-Thanh Nguyen, 2010-07-14 Research in multi-agent systems offers a promising technology for problems with networks, online trading and negotiations but also social structures and communication. This is a book on agent and multi-agent technology for internet and enterprise systems. The book is a pioneer in the combination of the fields and is based on the concept of developing a platform to share ideas and presents research in technology in the field and application to real problems. The chapters range over both applications, illustrating the possible uses of agents in an enterprise domain, and design and analytic methods, needed to provide the solid foundation required for practical systems. |
| artificial intelligence forex trading: Planet Forex ABE. COFNAS, 2019-08-21 This valuable book provides a much-needed integration of fundamental analysis of global forces and technical analysis to provide highly probable trades in currency markets. Fundamental analysis is often too vague and not quantified. This book provides insights into fundamental analysis and then calibrates it to trading strategies and techniques. Fundamentals are clearly defined as longer-term economic expectations regarding growth, inflation, and labor conditions. Nearer-term understanding of fundamentals deals with market psychology, where markets are manifest risk-on and risk-off emotions. Currencies are explained as expectations battles generating expectation waves. With real trading examples included to underscore the concepts, Planet Forex gives readers an invaluable primer on trading market sentiment that is unprecedented. This book is a must-read for global forex traders, portfolio managers, and other employees in the forex industry, including exchanges, brokerage firms, and financial planners and advisors. |
| artificial intelligence forex trading: Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments David Aronson, Timothy Masters, 2013 This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to accommodate readers having limited mathematical background, these techniques are illustrated with step-by-step examples using actual market data, and all examples are explained in plain language. Second, this book shows how the free program TSSB (Trading System Synthesis & Boosting) can be used to develop and test trading systems. The machine learning and statistical algorithms available in TSSB go far beyond those available in other off-the-shelf development software. Intelligent use of these state-of-the-art techniques greatly improves the likelihood of obtaining a trading system whose impressive backtest results continue when the system is put to use in a trading account. Among other things, this book will teach the reader how to: Estimate future performance with rigorous algorithms Evaluate the influence of good luck in backtests Detect overfitting before deploying your system Estimate performance bias due to model fitting and selection of seemingly superior systems Use state-of-the-art ensembles of models to form consensus trade decisions Build optimal portfolios of trading systems and rigorously test their expected performance Search thousands of markets to find subsets that are especially predictable Create trading systems that specialize in specific market regimes such as trending/flat or high/low volatility More information on the TSSB program can be found at TSSBsoftware dot com. |
| artificial intelligence forex trading: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| artificial intelligence forex trading: Naked Forex Alex Nekritin, Walter Peters, 2012-03-06 A streamlined and highly effective approach to trading without indicators Most forex traders rely on technical analysis books written for stock, futures, and option traders. However, long before computers and calculators, traders were trading naked. Naked trading is the simplest (and oldest) trading method. It's simply trading without technical indicators, and that is exactly what this book is about. Traders who use standard technical indicators focus on the indicators. Traders using naked trading techniques focus on the price chart. Naked trading is a simple and superior way to trade and is suited to those traders looking to quickly achieve expertise with a trading method. Offers a simpler way for traders to make effective decisions using the price chart Based on coauthor Walter Peters method of trading and managing money almost exclusively without indicators Coauthor Alexander Nekritin is the CEO and President of TradersChoiceFX, one of the largest Forex introducing brokers in the world Naked Forex teaches traders how to profit the simple naked way! |
| artificial intelligence forex trading: Practical Graph Mining with R Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty, 2013-07-15 Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a do-it-yourself approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste |
| artificial intelligence forex trading: Artificial Intelligence and Economic Theory: Skynet in the Market Tshilidzi Marwala, Evan Hurwitz, 2017-09-18 This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models. |
| artificial intelligence forex trading: Technical Analysis in Forex and Stock Market Young Ho Seo, This book is another effort for me to introduce the scientific trading for the trading community in Forex and Stock market. In my previous five books, I provided the details on how technical analysis can predict the market in conjunction with fractal wave. However, I felt that I could expand this on other technical analysis outside Support, Resistance, Triangle Pattern, Fibonacci Analysis, Harmonic Pattern, Elliott Wave, and X3 Chart Pattern. Hence, I chosen the supply and demand analysis to accomplish this goal. My goal was to provide you more practical trading examples. So that you can learn how to make use of the fractal wave in practice for your trading. The idea behind the supply and demand analysis starts with understanding the supply and demand curve in Economics. However, you do not need the deep understanding of the supply demand curve and Economics to use this technique. Hence, this technical analysis is accessible by anyone. In fact, the supply and demand analysis shares some common attributes with the volume spread analysis (VSA) devised by Richard Wyckoff. For example, the supply and demand analysis uses the price pattern based on the key area in the price analysis. The supply and demand analysis is the simple and straightforward price pattern analysis. In addition, the demand supply zone can be used as the support resistance too. We demonstrate how to use the demand supply zone as the support resistance in this book. Supply and demand trading does not require any complicated technical indicators or math skills. However, it purely focuses on the price itself. As it is the effective tool for your trading, I believe that many people will love to have this technical analysis on their toolbox. My latest book tends to be easier to read as I put a lot of effort to find the simplest explanation as possible. This book is easy to read too. In addition to the supply and demand analysis, this book covers other technical analysis in brief. This will help you to compare the supply and demand analysis with other technical analysis. However, this does not mean that this book is comprehensive to explain all the technical analysis in details. If you are looking to explore other technical analysis in details outside the supply and demand analysis, then I will recommend reading my previous books. In the list below, I put the easy to read book on top. Try to read the easy to read book first and try to read the harder book later to improve your trading and investment. · Technical Analysis in Forex and Stock Market (Supply and Demand Analysis and Support Resistance) · Science Of Support, Resistance, Fibonacci Analysis, Harmonic Pattern, Elliott Wave and X3 Chart Pattern (In Forex and Stock Market Trading) · Profitable Chart Patterns in Forex and Stock Market (Fibonacci Analysis, Harmonic Pattern, Elliott Wave, and X3 Chart Pattern) · Guide to Precision Harmonic Pattern Trading (Mastering Turning Point Strategy for Financial Trading) · Scientific Guide to Price Action and Pattern Trading (Wisdom of Trend, Cycle, and Fractal Wave) · Predicting Forex and Stock Market with Fractal Pattern (Science of Price and Time) |
| artificial intelligence forex trading: Satyadas Bimala Kara, 2006 Exploring truth, falsehood, and everything in between. |
| artificial intelligence forex trading: Artificial Intelligence Perspectives and Applications Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, Petr Silhavy, 2015-04-25 This volume is based on the research papers presented in the 4th Computer Science On-line Conference. The volume Artificial Intelligence Perspectives and Applications presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2015) is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering. |
| artificial intelligence forex trading: Day Trading and Swing Trading the Currency Market Kathy Lien, 2015-12-01 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. |
| artificial intelligence forex trading: The Encyclopedia of Trading Strategies Jeffrey Owen Katz, Donna McCormick, 2000-03-21 The Encyclopedia of Trading Strategies is for traders who want to take the next step to consistently profitable trading. The authors--themselves seasoned veterans of the futures trading arena--pinpoint the trading methods and strategies that have been shown to produce market-beating returns. Their rigorous and systematic backtesting of each method, using the same sets of markets and analytic techniques, provides a scientific, system-based approach to system development...to help you assemble the trading system that will put you on the road to becoming a more consistently profitable trader. |
| artificial intelligence forex trading: Advances in Swarm and Computational Intelligence Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht, 2015-06-01 This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering all major topics of swarm intelligence and computational intelligence research and development, such as novel swarm-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems; forecasting algorithms; classification; tracking analysis; simulation; image and texture analysis; dimension reduction; system optimization; segmentation and detection system; machine translation; virtual management and disaster analysis. |
| artificial intelligence forex trading: Getting Started in Currency Trading Michael D. Archer, 2012-04-27 The definitive introduction to FOREX trading Getting Started in Currency Trading, Fourth Edition is both an introduction and a reference manual for beginning and intermediate traders. Starting with a description of the Foreign Exchange (FOREX) market and a brief history, the book includes an invaluable section made up of relevant FOREX terms clearly defined using examples. The FOREX market has grown substantially and evolved dramatically in recent years, and this new edition is designed to help the reader to adapt and take advantage of these changes. Including coverage of how to open a trading account, a step-by-step walk through the physical processes of placing and liquidating currency orders, and information on trading strategy and tactics complete with fundamental and technical analysis, the book has everything needed to assist the trader in the decision making process. New edition is revised and expanded to take into account all of the recent changes in the currency market Now includes a step-by-step introduction for the new trader and additional material on regulation FOREX arithmetic calculations are presented in a clear, easy to understand way Recommendations, guidelines, and caveats appear throughout the book This new edition of Getting Started in Currency Trading contains significant new information, including a chapter on computers and FOREX, managed FOREX, and new information about regulation, alongside the author's successful trading plan, designed to help the reader put it all together. |
| artificial intelligence forex trading: The Forex Trading Course Abe Cofnas, 2015-06-18 EXPERT, DEPENDABLE FOREX COACHING—UPDATED TO KEEP YOU AHEAD IN AN EVOLVING MARKET The Forex Trading Course is the systematic guide aspiring traders need to enter the market with the confidence and skills necessary to generate wealth. Masterfully written so both basic and complex concepts are readily accessible, this all-inclusive training tool outlines a practical course of action to develop strategies integrating fundamental and technical analysis. It also demonstrates how to identify high-probability patterns and trades, adjust your trading plan for different account sizes, use emotional intelligence to improve trading performance, and much more. This second edition is fully revised to address: • Changes brought about by quantitative easing and central bank intervention—including greater spikes and disruptions in the forex and the influence of global growth and inflation on the market • Using binary options with forex trades to make accurate predictions on direction, targets, and stops • Social media trading and how to navigate herding behavior and swarming patterns • The latest insights and trends in cryptocurrencies such as Bitcoin Complete with practice assignments to reinforce the material and a supplemental website to enhance your knowledge, The Forex Trading Course, Second Edition unlocks your optimal potential for profitable currency trading. |
| artificial intelligence forex trading: Planet Forex Abe Cofnas, 2018-07-20 This valuable book provides a much-needed integration of fundamental analysis of global forces and technical analysis to provide highly probable trades in currency markets. Fundamental analysis is often too vague and not quantified. This book provides insights into fundamental analysis and then calibrates it to trading strategies and techniques. Fundamentals are clearly defined as longer-term economic expectations regarding growth, inflation, and labor conditions. Nearer-term understanding of fundamentals deals with market psychology, where markets are manifest risk-on and risk-off emotions. Currencies are explained as expectations battles generating expectation waves. With real trading examples included to underscore the concepts, Planet Forex gives readers an invaluable primer on trading market sentiment that is unprecedented. This book is a must-read for global forex traders, portfolio managers, and other employees in the forex industry, including exchanges, brokerage firms, and financial planners and advisors. |
| artificial intelligence forex trading: Advanced Forex Trading Professional Level CPA John Kimani , Dr. James Scott , 2023-06-25 Advanced Forex Trading Trading Strategies Algorithmic Trading Advanced Algorithmic Trading Techniques Trading Platforms Customizing Trading Platforms Global Market Dynamics Trading Plan Development Trading Journaling |
| artificial intelligence forex trading: Intermediate Forex Trading Professional Level CPA John Kimani , Dr. James Scott , 2023-06-19 • Technical Analysis • Fundamental Analysis • Risk Management • Trading Psychology • Trading Strategies • Money Management • Trading Platforms and Tools • Advanced Concepts |
| artificial intelligence forex trading: Hands-On Machine Learning for Algorithmic Trading Stefan Jansen, 2018-12-31 Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learnImplement machine learning techniques to solve investment and trading problemsLeverage market, fundamental, and alternative data to research alpha factorsDesign and fine-tune supervised, unsupervised, and reinforcement learning modelsOptimize portfolio risk and performance using pandas, NumPy, and scikit-learnIntegrate machine learning models into a live trading strategy on QuantopianEvaluate strategies using reliable backtesting methodologies for time seriesDesign and evaluate deep neural networks using Keras, PyTorch, and TensorFlowWork with reinforcement learning for trading strategies in the OpenAI GymWho this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory. |
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
