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| automated ai trading bot: 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. |
| automated ai trading bot: Mathematics for Machine Learning Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. |
| automated ai trading bot: Algo Bots and the Law Gregory Scopino, 2020-10-15 An exploration of how financial market laws and regulations can - and should - govern the use of artificial intelligence. |
| automated ai trading bot: 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. |
| automated ai trading bot: 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. |
| automated ai trading bot: Mastering AI-Powered Trading Bots for Options: Jeffery Long, 2024-08-15 Mastering AI-Powered Trading Bots for Options Analyzing Large Amounts of Data Faster Than Humans Can Read AI can help traders make more informed decisions by analyzing large amounts of data and identifying patterns that humans may miss. Some ways AI can help in trading options include: 1. Predictive analytics: AI algorithms can analyze historical market data and predict future price movements, helping traders make more accurate decisions on which options to buy. 2. Sentiment analysis: AI can analyze news articles, social media posts, and other sources of information to gauge market sentiment and identify potential trading opportunities. 3. Risk management: AI can help traders manage risk by analyzing their portfolio and identifying potential risks and opportunities for hedging. 4. Automation: AI can automate the trading process, executing trades based on predetermined criteria and removing human emotion from the decision-making process. 5. Machine learning: AI can continuously learn from past trading data and optimize trading strategies over time, adapting to changing market conditions and improving performance. Overall, AI can help traders make more informed decisions, reduce risk, and potentially increase returns when trading options. Chapter 1: Introduction to AI and Option Trading Welcome to the exciting world of AI-powered trading bots for executing options trades. In this subchapter, we will explore the fundamentals of AI and option trading, providing you with a solid foundation to begin your journey into the world of trading stocks and options. Whether you are a novice trader looking to learn the basics or an experienced investor seeking to leverage the power of AI technology in your trading strategies, this subchapter is designed to help you understand the key concepts and principles that drive success in the world of option trading. First and foremost, it is important to understand what AI is and how it is revolutionizing the way we approach financial markets. Artificial intelligence, or AI, refers to the simulation of human intelligence processes by machines, particularly computer systems. In the context of option trading, AI can be used to analyze vast amounts of data, identify patterns and trends, and make informed decisions about when to buy or sell options. By harnessing the power of AI technology, traders can gain a competitive edge in the market and increase their chances of success. |
| automated ai trading bot: 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 |
| automated ai trading bot: Automate This Christopher Steiner, 2012-08-30 The rousing story of the last gasp of human agency and how today’s best and brightest minds are endeavoring to put an end to it. It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What happens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others? Who knows—maybe there’s a bot learning to do your job this minute. |
| automated ai trading bot: The Liberated Stock Trader Barry D. Moore, 2011-04-01 From pocket change to financial freedom. Learn the critical skills you need to be an independent, self directed stock market investor. This is a truly unique stock market training course designed to help YOU make informed decisions about how to invest YOUR money, whether you are a beginner or already investing. Only 20% of stock market investors are actually able to beat the market, this training course is designed to help you be part of that winning 20% This book and the accompanying 16 hours of video training lessons have been created for those who are truly serious about their education. Barry D Moore's unique approach to training makes it easy to understand how the stock market works and how to apply your knowledge practically This integrated stock market training course training course includes: How you can find great stocks in great markets (Fundamental Analysis) How you can master stock charts, indicators and patterns (Technical Analysis) How many stocks to buy, when to buy and when to sell How to create your own winning stock market strategy Practical Guides to get you up and running fast include: The Stock Traders Checklist The Top 5 Mistakes To Avoid From The Start Top 10 Best Free Stock Charting Tools How To Find Great Stocks The Stock Market Millionaire The Trading System Workbook This honest, independent and trustworthy education consists of: The Liberated Stock Trader Book - large format and filled with diagrams and charts 16 hours of high quality video (available online) Mobile Edition - 16 hours of video (for iPhone/iPad/Android) Mobile Edition eBook in pdf format With 16 hours of educational video tutorials and the Liberated Stock Trader Book you will be well prepared for successful stock market investing Stock Market Success Need Knowledge, Experience And Patience Get the knowledge you need with the Liberated Stock Trader |
| automated ai trading bot: AI-Powered Investing for Beginners DIZZY DAVIDSON, 2024-08-06 Struggling to fully understand how AI can revolutionize your investing strategy? Wondering how to leverage AI to make smarter, more informed investment decisions? Look no further! “AI-Powered Investing for Beginners: Unlocking the Future of Real Estate, Stocks, Mutual Funds, Crypto, and Bonds” is your ultimate guide to harnessing the power of AI in your investment journey. This book demystifies AI and shows you how to apply its concepts to achieve financial success. Benefits of Reading This Book: Comprehensive Understanding: Gain a solid foundation in AI and its applications in various investment fields. Practical Insights: Learn how to use AI tools and techniques to analyze market trends, optimize portfolios, and manage risks. Real-World Examples: Discover case studies and practical applications that illustrate the power of AI in investing. Why This Book is a Must-Read: Beginner-Friendly: Written in an easy-to-understand language, this book is perfect for those new to AI and investing. Expert Guidance: Benefit from the insights of seasoned professionals who have successfully integrated AI into their investment strategies. Future-Proof Your Investments: Stay ahead of the curve by understanding the latest AI trends and technologies shaping the future of investing. Bullet Points Unlock the potential of AI in real estate, stocks, mutual funds, crypto, and bonds. Learn algorithmic trading, sentiment analysis, and portfolio optimization. Discover AI tools for market analysis, fraud detection, and automated trading. Understand credit risk assessment, yield prediction, and personalized investment advice. Stay ahead with the latest AI trends and technologies in investing. Call to Action: Don’t miss out on the opportunity to transform your investment approach with AI. Get your copy of “AI-Powered Investing for Beginners” today and unlock the benefits of AI-driven investing. Become knowledgeable about AI and take control of your financial future! |
| automated ai trading bot: 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 |
| automated ai trading bot: Learn Algorithmic Trading Sourav Ghosh, Sebastien Donadio, 2019-11-07 Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies Key Features Understand the power of algorithmic trading in financial markets with real-world examples Get up and running with the algorithms used to carry out algorithmic trading Learn to build your own algorithmic trading robots which require no human intervention Book Description It's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You'll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You'll explore the key components of an algorithmic trading business and aspects you'll need to take into account before starting an automated trading project. Next, you'll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you'll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you'll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you'll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets. What you will learn Understand the components of modern algorithmic trading systems and strategies Apply machine learning in algorithmic trading signals and strategies using Python Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more Quantify and build a risk management system for Python trading strategies Build a backtester to run simulated trading strategies for improving the performance of your trading bot Deploy and incorporate trading strategies in the live market to maintain and improve profitability Who this book is for This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful. |
| automated ai trading bot: The Biggest Ideas in the Universe Sean Carroll, 2022-09-20 INSTANT NEW YORK TIMES BESTSELLER “Most appealing... technical accuracy and lightness of tone... Impeccable.”—Wall Street Journal “A porthole into another world.”—Scientific American “Brings science dissemination to a new level.”—Science The most trusted explainer of the most mind-boggling concepts pulls back the veil of mystery that has too long cloaked the most valuable building blocks of modern science. Sean Carroll, with his genius for making complex notions entertaining, presents in his uniquely lucid voice the fundamental ideas informing the modern physics of reality. Physics offers deep insights into the workings of the universe but those insights come in the form of equations that often look like gobbledygook. Sean Carroll shows that they are really like meaningful poems that can help us fly over sierras to discover a miraculous multidimensional landscape alive with radiant giants, warped space-time, and bewilderingly powerful forces. High school calculus is itself a centuries-old marvel as worthy of our gaze as the Mona Lisa. And it may come as a surprise the extent to which all our most cutting-edge ideas about black holes are built on the math calculus enables. No one else could so smoothly guide readers toward grasping the very equation Einstein used to describe his theory of general relativity. In the tradition of the legendary Richard Feynman lectures presented sixty years ago, this book is an inspiring, dazzling introduction to a way of seeing that will resonate across cultural and generational boundaries for many years to come. |
| automated ai trading bot: Trading Systems and Methods, + Website Perry J. Kaufman, 2013-01-29 The ultimate guide to trading systems, fully revised and updated For nearly thirty years, professional and individual traders have turned to Trading Systems and Methods for detailed information on indicators, programs, algorithms, and systems, and now this fully revised Fifth Edition updates coverage for today's markets. The definitive reference on trading systems, the book explains the tools and techniques of successful trading to help traders develop a program that meets their own unique needs. Presenting an analytical framework for comparing systematic methods and techniques, this new edition offers expanded coverage in nearly all areas, including trends, momentum, arbitrage, integration of fundamental statistics, and risk management. Comprehensive and in-depth, the book describes each technique and how it can be used to a trader's advantage, and shows similarities and variations that may serve as valuable alternatives. The book also walks readers through basic mathematical and statistical concepts of trading system design and methodology, such as how much data to use, how to create an index, risk measurements, and more. Packed with examples, this thoroughly revised and updated Fifth Edition covers more systems, more methods, and more risk analysis techniques than ever before. The ultimate guide to trading system design and methods, newly revised Includes expanded coverage of trading techniques, arbitrage, statistical tools, and risk management models Written by acclaimed expert Perry J. Kaufman Features spreadsheets and TradeStation programs for a more extensive and interactive learning experience Provides readers with access to a companion website loaded with supplemental materials Written by a global leader in the trading field, Trading Systems and Methods, Fifth Edition is the essential reference to trading system design and methods updated for a post-crisis trading environment. |
| automated ai trading bot: Dark Pools Scott Patterson, 2012-06-12 A news-breaking account of the global stock market's subterranean battles, Dark Pools portrays the rise of the bots--artificially intelligent systems that execute trades in milliseconds and use the cover of darkness to out-maneuver the humans who've created them. In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next. |
| automated ai trading bot: Hands-On Financial Trading with Python Jiri Pik, Sourav Ghosh, 2021-04-29 Build and backtest your algorithmic trading strategies to gain a true advantage in the market Key FeaturesGet quality insights from market data, stock analysis, and create your own data visualisationsLearn how to navigate the different features in Python's data analysis librariesStart systematically approaching quantitative research and strategy generation/backtesting in algorithmic tradingBook Description Creating an effective system to automate your trading can help you achieve two of every trader's key goals; saving time and making money. But to devise a system that will work for you, you need guidance to show you the ropes around building a system and monitoring its performance. This is where Hands-on Financial Trading with Python can give you the advantage. This practical Python book will introduce you to Python and tell you exactly why it's the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. As you progress, you'll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization to help you get —and stay—ahead of the markets. What you will learnDiscover how quantitative analysis works by covering financial statistics and ARIMAUse core Python libraries to perform quantitative research and strategy development using real datasetsUnderstand how to access financial and economic data in PythonImplement effective data visualization with MatplotlibApply scientific computing and data visualization with popular Python librariesBuild and deploy backtesting algorithmic trading strategiesWho this book is for If you're a financial trader or a data analyst who wants a hands-on introduction to designing algorithmic trading strategies, then this book is for you. You don't have to be a fully-fledged programmer to dive into this book, but knowing how to use Python's core libraries and a solid grasp on statistics will help you get the most out of this book. |
| automated ai trading bot: 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. |
| automated ai trading bot: The Robotic Process Automation Handbook Tom Taulli, 2020-02-28 While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave. What You'll Learn Develop the right strategy and planDeal with resistance and fears from employeesTake an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costsEvaluate an RPA system Who This Book Is For IT specialists and managers at mid-to-large companies |
| automated ai trading bot: Expert Advisor Programming Gerard Desjardins, Andrew R. Young, 2009-12 Finally, the first comprehensive guide to MQL programming is here! Expert Advisor Programming guides you through the process of developing robust automated forex trading systems for the popular MetaTrader 4 platform. In this book, the author draws on several years of experience coding hundreds of expert advisors for retail traders worldwide. You'll learn how to program these common trading tasks, and much more: - Place market, stop and limit orders. - Accurately calculate stop loss and take profit prices. - Calculate lot size based on risk. - Add flexible trailing stops to your orders. - Count, modify and close multiple orders at once. - Verify trading conditions using indicators and price data. - Create flexible and reusable source code functions. - Add advanced features such as timers, email alerts and Martingale lot sizing. - Avoid common trading errors and easily troubleshoot your programs. - Adjustments for fractional pip brokers and FIFO. - Plus, learn how to create your own custom indicators and scripts! Whether you're a beginner or an experienced programmer, Expert Advisor Programming can help you realize your automated trading ideas in the shortest amount of time. This book features dozens of code examples with detailed explanations, fully-functioning example programs, and reusable functions that you can use in your own expert advisors! |
| automated ai trading bot: AI-Powered Bitcoin Trading Eoghan Leahy, 2024-05-14 Survive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems. The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems. Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization. Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBotTM combines human insight with AI-driven optimization to build profit table trend trading strategies. |
| automated ai trading bot: Algorithmic Trading with Python Chris Conlan, 2020-04-09 Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reprocibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis. |
| automated ai trading bot: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| automated ai trading bot: Algorithmic and High-Frequency Trading Álvaro Cartea, Sebastian Jaimungal, José Penalva, 2015-08-06 The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you. |
| automated ai trading bot: Professional Automated Trading Eugene A. Durenard, 2013-10-04 An insider's view of how to develop and operate an automated proprietary trading network Reflecting author Eugene Durenard's extensive experience in this field, Professional Automated Trading offers valuable insights you won't find anywhere else. It reveals how a series of concepts and techniques coming from current research in artificial life and modern control theory can be applied to the design of effective trading systems that outperform the majority of published trading systems. It also skillfully provides you with essential information on the practical coding and implementation of a scalable systematic trading architecture. Based on years of practical experience in building successful research and infrastructure processes for purpose of trading at several frequencies, this book is designed to be a comprehensive guide for understanding the theory of design and the practice of implementation of an automated systematic trading process at an institutional scale. Discusses several classical strategies and covers the design of efficient simulation engines for back and forward testing Provides insights on effectively implementing a series of distributed processes that should form the core of a robust and fault-tolerant automated systematic trading architecture Addresses trade execution optimization by studying market-pressure models and minimization of costs via applications of execution algorithms Introduces a series of novel concepts from artificial life and modern control theory that enhance robustness of the systematic decision making—focusing on various aspects of adaptation and dynamic optimal model choice Engaging and informative, Proprietary Automated Trading covers the most important aspects of this endeavor and will put you in a better position to excel at it. |
| automated ai trading bot: Flash Boys: A Wall Street Revolt Michael Lewis, 2014-03-31 Argues that post-crisis Wall Street continues to be controlled by large banks and explains how a small, diverse group of Wall Street men have banded together to reform the financial markets. |
| automated ai trading bot: Steering AI and advanced ICTs for knowledge societies Xianhong Hu, Neupane, Bhanu, Echaiz, Lucia Flores, Sibal, Prateek, Rivera Lam, Macarena, 2019-11-28 |
| automated ai trading bot: Quantitative Trading Systems, Second Edition Howard Bandy, 2011-06-02 |
| automated ai trading bot: Artificial Intelligence in Banking Introbooks, 2020-04-07 In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, In a world focused on using AI in new ways, we're focused on using it wisely and responsibly. |
| automated ai trading bot: Large Language Models Oswald Campesato, 2024-09-17 This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher. FEATURES: Covers in-depth explanations of foundational and advanced LLM concepts, including BERT, GPT-4, and prompt engineering Uses practical Python code samples in leveraging LLM functionalities effectively Discusses future trends, ethical considerations, and the evolving landscape of AI technologies Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase) |
| automated ai trading bot: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| automated ai trading bot: Automating Inequality Virginia Eubanks, 2018-01-23 WINNER: The 2019 Lillian Smith Book Award, 2018 McGannon Center Book Prize, and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice Astra Taylor, author of The People's Platform: The single most important book about technology you will read this year. Dorothy Roberts, author of Killing the Black Body: A must-read. A powerful investigative look at data-based discrimination?and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely. |
| automated ai trading bot: Expert Advisor Programming for MetaTrader 4 Andrew R. Young, 2015-02-21 Brand new and fully updated for the latest versions of MetaTrader 4, Expert Advisor Programming for MetaTrader 4 is a practical guide to programming expert advisors in the MQL4 language. Leverage the latest features imported from the MQL5 language, including object-oriented programming, enumerations, structures and more. This book will teach you the following concepts: The basics of the MQL4 language, including variables and data types, operations, conditional and loop operators, functions, classes and objects, event handlers and more. Place, modify and close market and pending orders. Add a stop loss and/or take profit price to an individual order, or to multiple orders. Close orders individually or by order type. Get a total of all currently opened orders. Work with OHLC bar data, and locate basic candlestick patterns. Find the highest high and lowest low of recent bars. Work with MetaTrader's built-in indicators, as well as custom indicators. Add a trailing stop or break even stop feature to an expert advisor. Use money management and lot size verification techniques. Add a flexible trading timer to an expert advisor. Construct several types of trading systems, including trend, counter-trend and breakout systems. Add alerts, emails, sounds and other notifications. Add and manipulate chart objects. Read and write to CSV files. Construct basic indicators, scripts and libraries. Learn how to effectively debug your programs, and use the Strategy Tester to test your strategies. All of the source code in this book is available for download, including an expert advisor framework that allows you to build robust and fully-featured expert advisors with minimal effort. Whether you're a new trader with limited programming experience, or an experienced programmer who has worked in other languages, Expert Advisor Programming for MetaTrader 4 is the easiest way to get up and running in MQL4. |
| automated ai trading bot: AI Goldmine: A Beginner’s Guide to Making Money with Artificial Intelligence DIZZY DAVIDSON, 2024-08-17 If you are struggling to fully understand AI and how to make money with it. You’re not alone. Many people find AI complex and intimidating. But what if I told you that you can turn this challenge into a lucrative opportunity? “AI Goldmine: A Beginner’s Guide to Making Money with Artificial Intelligence” is your ultimate roadmap to harnessing the power of AI for financial success. This book breaks down the complexities of AI into simple, actionable steps that anyone can follow. Benefits of Reading This Book: Unlock the potential of AI: Learn how to use AI tools to create content, enhance images, generate voice-overs, and more. Diverse income streams: Discover multiple ways to monetize AI, from affiliate marketing to print-on-demand products. Step-by-step guidance: Follow detailed instructions and practical tips tailored for beginners. Real-world examples: Gain insights from success stories and case studies. This book is a comprehensive guide for anyone looking to dive into the world of AI and start making money. Whether you’re a complete novice or have some experience, “AI Goldmine” provides the knowledge and tools you need to succeed. Why This Book is a Must-Read: Accessible and easy to understand: Written in a clear, engaging style that makes complex concepts simple. Practical and actionable: Packed with tips, strategies, and real-world examples to help you apply what you learn. Comprehensive coverage: Covers a wide range of AI applications and income-generating opportunities. Bullet Points: Learn to create and sell AI-generated content Discover the power of AI in image manipulation Generate income through AI voice-over services Master affiliate marketing with AI tools Design and sell custom products using AI Create and sell AI-generated stock photos and music Manage social media with AI tools Develop and sell online courses on AI Ready to transform your understanding of AI into a profitable venture? Get your copy of “AI Goldmine: A Beginner’s Guide to Making Money with Artificial Intelligence” today and start your journey towards financial success with AI! |
| automated ai trading bot: AI & ML - Powering the Agents of Automation Deepika M, Vijay K. Cuddapah, Amitendra Srivastava, Srinivas Mahankali, 2019-09-17 Learn Why, What, Where, When Who and How behind the technologies of the AI & ML powering the Agents of Automation in a simple manner. DESCRIPTION We are faced with automatic machines and autonomous agents gradually replacing a lot of activities, hitherto have been carried out by humans.Ê From airports to call centers, shop floors in the factory to accounting and finance departments in large businesses, we are finding increasing applications of AI & ML led automation. Most of the time, the autonomous machines we interact with or work with, like the Robots, Drones and Self driving cars evoke awe, inspiration & perplexity at the same time. They seem to be the tools only used by the most technology empowered organizations and technology geeks. The effort of this book is to go under the veil of all these automation agents, explain their benefits and expose the way they work by leveraging hardware and software powered by AI & ML as well. We expect the book to demystify these technologies to the learners in a reader friendly manner without using too much of jargon, egging them to take the next step to develop a passion to follow and leverage these trends for their productivity and enhance their quality of life. KEY FEATURES _Ê Ê Ê Explore various trends of Automation impacting our lives today. _Ê Ê Ê Explains the reasons behind the proliferations of the various bots and autonomous agents. _Ê Ê Ê Explores the various areas being impacted by the use of these new workforce made of machines. _Ê Ê Ê Examines the components that make up Robots, Chatbots, Autonomous cars and Drones. _Ê Ê Ê Throws a light on the various limitations and threats encountered by the Agents of Automation _Ê Ê Ê Explores how, Blockchain can be used to protect IOT, Robots, Drones and Autonomous cars. _Ê Ê Ê Throws a light on the various tools used to build Robots, Chatbots and RPA. _Ê Ê Ê Outlines the steps undertaken to manage while building projects to deploy the Agents of Automation. WHAT WILL YOU LEARN From this book, you will get a very good idea about the various agents of automation like IOT, Robots, Chatbots, and Robotic Process Automation, Drones and Autonomous cars. Why do we use these machines? Where do we use them? Where do we find their applications? What are the components that go into making of these machines? High level knowledge on how we can build them and what are the advantages, disadvantages, risks and appropriate way to limit these risks. Ê WHO THIS BOOK IS FOR This book is for all the students and those passionate to get a fundamental knowledge on various aspects of Disruptive technologies prevalent today like IOT, AI, ML, Blockchain and Automation.Ê Engineering students, CXOs in organizations, Government officials, Digital natives and the young generation of technology enthusiasts will find this book extremely interesting and informative. Table of Contents Introduction to Automated Personal Assistants: Past, Present & The Future Disruptive models led by digitization Machine Learning and Artificial Intelligence, The languages of Automation Internet Of Things , Industry 4.0 And Factories Of Tomorrow Robots Robotic Process Automation Drones Chatbots & Voice Assistants Autonomous Cars Artificial Intelligence & Automation Gone Wrong Blockchain-The New Generation Tool For Cybersecurity Blockchain As A Protector Of The Agents Of Automation Summary and Conclusion CHAPTER WISE QUESTIONS GLOSSARY: AGENTS OF AUTOMATION |
| automated ai trading bot: AI & ML - Powering the Agents of Automation M Deepika, 2019-09-20 Learn Why, What, Where, When Who and How behind the technologies of the AI & ML powering the Agents of Automation in a simple mannerKey features Explore various trends of Automation impacting our lives today. Explains the reasons behind the proliferations of the various bots and autonomous agents. Explores the various areas being impacted by the use of these new workforce made of machines. Examines the components that make up Robots, Chatbots, Autonomous cars and Drones. Throws a light on the various limitations and threats encountered by the Agents of Automation Explores how, Blockchain can be used to protect IOT, Robots, Drones and Autonomous cars. Throws a light on the various tools used to build Robots, Chatbots and RPA. Outlines the steps undertaken to manage while building projects to deploy the Agents of Automation. Description We are faced with automatic machines and autonomous agents gradually replacing a lot of activities, hitherto have been carried out by humans. From airports to call centers, shop floors in the factory to accounting and finance departments in large businesses, we are finding increasing applications of AI & ML led automation.Most of the time, the autonomous machines we interact with or work with, like the Robots, Drones and Self driving cars evoke awe, inspiration & perplexity at the same time. They seem to be the tools only used by the most technology empowered organizations and technology geeks.The effort of this book is to go under the veil of all these automation agents, explain their benefits and expose the way they work by leveraging hardware and software powered by AI & ML as well. We expect the book to demystify these technologies to the learners in a reader friendly manner without using too much of jargon, egging them to take the next step to develop a passion to follow and leverage these trends for their productivity and enhance their quality of life.What will you learnFrom this book, you will get a very good idea about the various agents of automation like IOT, Robots, Chatbots, and Robotic Process Automation, Drones and Autonomous cars. Why do we use these machines? Where do we use them? Where do we find their applications? What are the components that go into making of these machines? High level knowledge on how we can build them and what are the advantages, disadvantages, risks and appropriate way to limit these risks. Who this book is forThis book is for all the students and those passionate to get a fundamental knowledge on various aspects of Disruptive technologies prevalent today like IOT, AI, ML, Blockchain and Automation. Engineering students, CXOs in organizations, Government officials, Digital natives and the young generation of technology enthusiasts will find this book extremely interesting and informative.Table of contents1. Introduction to Automated Personal Assistants: Past, Present & The Future2. Disruptive models led by digitization3. Machine Learning and Artificial Intelligence, The languages of Automation4. Internet Of Things, Industry 4.0 And Factories Of Tomorrow5. Robots6. Robotic Process Automation7. Drones8. Chatbots & Voice Assistants9. Autonomous Cars10. Artificial Intelligence & Automation Gone Wrong11. Blockchain-The New Generation Tool for Cybersecurity12. Blockchain As A Protector of The Agents of Automation13. Summary and Conclusion14. CHAPTER WISE QUESTIONS15. GLOSSARY: AGENTS OF AUTOMATIONAbout the authorDeepika Mhttp://linkedin.com/in/deepika2019Deepika is CCNA/CCNP/CCIE certified Computer Engineering graduate from VIT University, Vellore and a Cybersecurity professional with over 4 years' experience in Networking & Cybersecurity from Cisco. She is an MBA in General Management with specialization in Finance, Marketing and Analytics (Trained in R & Python) from the Asia School of Business, Kuala Lumpur in collaboration with MIT Sloan. She is a R3 Corda certified Blockchain and Distributed Ledger Technology Evangelist, She is a scholarship candidate from Stanford GSB, for their Entrepreneur development program, Stanford, IGNITE. Vijay K. Cuddapahhttp://linkedin.com/in/vijay-kumar-0706858With master's in business management and B.Sc. in Computer Science, is responsible for Technology/Functional Development and Strategic Planning in IOT, AI & Analytics organizations. He has 10 years' experience in project development, deployment and delivery. Experience in multiple areas with emphasis on Analytics, Machine Learning, Information Technology and Consultancy related Services. He is passionate about Drones and diverse technologies ranging from Analytics, Machine Learning, Simulation, Automation, Tools development and Application Development across different verticals. He has significant experience in research methodology, design & conducting large scale surveys and analysis. Amitendra Srivastavahttp://linkedin.com/in/amitendra-srivastava-a5007844Amitendra holds a post graduate diploma in business administration from ISCS Pune. He has more than 14 years of rich corporate experience in training delivery and analytics product development. He has worked with HDFC Bank, Redwood Associates and Analytics Training Institute, He is extremely passionate about Analytics, Statistical concepts, Deep Learning & AI, Predictive modelling, Video Analytics & Autonomous vehicle technology.Srinivas Mahankalihttp://linkedin.com/in/srini-ultsSrinivas Mahankali is an IIT Madras and IIM Bangalore alumnus and heads Blockchain Center of Excellence at ULTS (ULCCS Group, Calicut, Kerala). He is Six sigma certified, NCFM Level 2, Capital Markets certified and R3 Corda Certified professional. He is an author of the books, Blockchain- The Untold Story & also co-authored Successful Organizations in action. Blockchain the Untold Story is deemed to be the first book to be translated from English into Chinese by Artificial Engineering Bots. |
| automated ai trading bot: AI in the Financial Markets Federico Cecconi, 2023-03-24 This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds). The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres. |
| automated ai trading bot: Regulating Artificial Intelligence Thomas Wischmeyer, Timo Rademacher, 2019-11-29 This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality. |
| automated ai trading bot: 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. |
| automated ai trading bot: Automated Stock Trading Systems: A Systematic Approach for Traders to Make Money in Bull, Bear and Sideways Markets Laurens Bensdorp, 2020-03-31 Consistent, benchmark-beating growth, combined with reduced risk, are the Holy Grail of traders everywhere. Laurens Bensdorp has been achieving both for more than a decade. By combining multiple quantitative trading systems that perform well in different types of markets--bull, bear, or sideways--his overall systematized and automated system delivers superlative results regardless of overall market behavior. In his second book, Automated Stock Trading Systems, Bensdorp details a non-correlated, multi-system approach you can understand and build to suit yourself. Using historical price action to develop statistical edges, his combined, automated systems have been shown to deliver simulated consistent high double-digit returns with very low draw downs for the last 24 years, no matter what the market indices have done. By following his approach, traders can achieve reliable, superlative returns without excessive risk. |
| automated ai trading bot: Microcap Stock , 2004 |
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