| chatgpt crypto trading bot: AI and Chatbots in FinTech Gioia Arnone, |
| chatgpt crypto 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. |
| chatgpt crypto trading bot: The GPT-4 Crypto Revolution Zane Wilder, 2024-02-26 Discover the power of AI in the crypto world, from Bitcoin's disruptive emergence to GPT-4’s cutting-edge analysis. Find out how savvy investors conquer the digital currency frontier. Learn how AI can reshape risk, outsmart markets, and secure your crypto journey. · AI Insights: Unravel market trends using GPT-4's accurate predictions. · Strategy Development: Forge robust strategies leveraging AI's advanced intelligence. · Success Stories & Pitfalls: Navigate the highs and lows of AI in finance. · Forward-Thinking Roadmap: Prepare for AI’s impact on the future evolution of crypto. AI, particularly GPT-4, has the potential to revolutionize financial analysis, risk assessment, and strategic navigation through the complex crypto market. From Bitcoin's inception to blockchain’s role in secure transactions, these technologies can redefine traditional banking and fostering investment opportunities. There are AI driven applications for smarter investing, enhanced risk management, and efficient smart contract development available now, but it is important to be aware of their limitations and to choose with care. The GPT-4 Crypto Revolution provides a contemporary roadmap of AI involvement in crypto, detailing emerging trends and regulatory landscapes amid digital transformation. Capitalize on the crypto boom and sidestep many of the pitfalls with the strategic intelligence AI can provide. Start trading smarter today. |
| chatgpt crypto trading bot: ChatGPT: Potential Usecases The Technology Edits, 2023-02-10 ChatGPT: 100+ Potential Usecases Table of Contents 1. ChatGPT as Customer service Chatbots 2. ChatGPT as Virtual personal assistants 3. ChatGPT as Language translation services 4. ChatGPT as Personalized news aggregation 5. ChatGPT as Online shopping assistants 6. ChatGPT as Educational tutors 7. ChatGPT as Virtual event coordinators 8. ChatGPT as Healthcare virtual assistants 9. ChatGPT as Entertainment and trivia games 10. ChatGPT as Virtual financial advisors 11. ChatGPT as Virtual HR assistants 12. ChatGPT as Recipe and cooking suggestion chatbots 13. ChatGPT as Virtual travel agents 14. ChatGPT as Virtual personal stylists and fashion advisors 15. ChatGPT as Virtual real estate agents 16. ChatGPT as Virtual legal assistants 17. ChatGPT as Virtual mental health therapists 18. ChatGPT as Virtual event planners 19. ChatGPT as Virtual tour guides 20. ChatGPT as Virtual car sales assistants 21. ChatGPT as Virtual hotel booking assistants 22. ChatGPT as Virtual music and movie recommendations 23. ChatGPT as Virtual personal fitness trainers 24. ChatGPT as Virtual career coaches 25. ChatGPT as Virtual language tutors 26. ChatGPT as Virtual pet care advice chatbots 27. ChatGPT as Virtual home improvement advisors 28. ChatGPT as Virtual automotive maintenance advisors 29. ChatGPT as Virtual gardening advisors 30. ChatGPT as Virtual nutritionists 31. ChatGPT as Virtual beauty and skincare advisors 32. ChatGPT as Virtual home security advisors 33. ChatGPT as Virtual dating coaches 34. ChatGPT as Virtual astrologers and horoscope chatbots 35. ChatGPT as Virtual wedding planners 36. ChatGPT as Virtual gift suggestions chatbots 37. ChatGPT as Virtual baby care advisors 38. ChatGPT as Virtual household chore managers 39. ChatGPT as Virtual home organization advisors 40. ChatGPT as Virtual personal productivity coaches 41. ChatGPT as Virtual resume and cover letter builders 42. ChatGPT as Virtual job search assistants 43. ChatGPT as Virtual contract and document review chatbots 44. ChatGPT as Virtual auction assistants 45. ChatGPT as Virtual survey and market research chatbots 46. ChatGPT as Virtual lead generation chatbots 47. ChatGPT as Virtual sales and marketing chatbots 48. ChatGPT as Virtual customer engagement chatbots 49. ChatGPT as Virtual appointment scheduling chatbots 50. ChatGPT as Virtual brand representatives 51. ChatGPT as Virtual customer feedback and satisfaction chatbots 52. ChatGPT as Virtual market analysis chatbots 53. ChatGPT as Virtual project management assistants 54. ChatGPT as Virtual team collaboration chatbots 55. ChatGPT as Virtual workplace wellness and mental health chatbots 56. ChatGPT as Virtual supply chain management chatbots 57. ChatGPT as Virtual HR benefits and payroll chatbots 58. ChatGPT as Virtual training and development chatbots 59. ChatGPT as Virtual time tracking and invoicing chatbots 60. ChatGPT as Virtual event registration and ticketing chatbots 61. ChatGPT as Virtual payment processing chatbots 62. ChatGPT as Virtual fundraising and donor management chatbots 63. ChatGPT as Virtual charity and nonprofit support chatbots 64. ChatGPT as Virtual voting and political campaign chatbots 65. ChatGPT as Virtual sports and fitness chatbots 66. ChatGPT as Virtual weather and climate chatbots 67. ChatGPT as Virtual stock market and financial news chatbots 68. ChatGPT as Virtual local business directories and reviews chatbots 69. ChatGPT as Virtual event and concert ticket sales chatbots 70. ChatGPT as Virtual social media management chatbots 71. ChatGPT as Virtual email and messaging chatbots 72. ChatGPT as Virtual telecommunication chatbots 73. ChatGPT as Virtual video conferencing and virtual event chatbots 74. ChatGPT as Virtual digital signage chatbots 75. ChatGPT as Virtual digital media distribution chatbots 76. ChatGPT as Virtual graphic design chatbots 77. ChatGPT as Virtual website design and development chatbots 78. ChatGPT as Virtual software and app development chatbots 79. ChatGPT as Virtual cloud computing chatbots 80. ChatGPT as Virtual IT support chatbots 81. ChatGPT as Virtual cybersecurity chatbots 82. ChatGPT as Virtual network administration chatbots 83. ChatGPT as Virtual data management chatbots 84. ChatGPT as Virtual big data analysis chatbots 85. ChatGPT as Virtual machine learning and artificial intelligence chatbots 86. ChatGPT as Virtual blockchain and cryptocurrency chatbots 87. ChatGPT as Virtual internet of things (IoT) chatbots 88. ChatGPT as Virtual smart home automation chatbots 89. ChatGPT as Virtual automotive technology chatbots 90. ChatGPT as Virtual industrial automation and manufacturing chatbots 91. ChatGPT as Virtual renewable energy and sustainability chatbots 92. ChatGPT as Virtual environmental science and conservation chatbots 93. ChatGPT as Virtual space and astronomy chatbots 94. ChatGPT as Virtual animal and wildlife conservation chatbots 95. ChatGPT as Virtual history and culture chatbots 96. ChatGPT as Virtual geography and maps chatbots 97. ChatGPT as Virtual religious studies and philosophy chatbots 98. ChatGPT as Virtual big data analysis chatbots 99. ChatGPT as Virtual machine learning and artificial intelligence chatbots 100. ChatGPT as Virtual blockchain and cryptocurrency chatbots |
| chatgpt crypto trading bot: Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement Bansal, Rohit, Ngah, Abdul Hafaz, Chakir, Aziza, Pruthi, Nishita, 2024-01-24 Academic scholars find themselves confronted with a formidable challenge: staying abreast of the ever-evolving landscape of Artificial Intelligence(AI). The intricate interplay between AI and its profound impact on various facets of society, including customer engagement, remains an enigma for many. This knowledge gap not only hampers their ability to contribute meaningfully to their fields but also leaves them trailing behind the dynamic developments taking place in industries worldwide. As AI continues to reshape the business environment, it becomes imperative for academia to bridge this chasm between theory and practice. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement is an effective solution to the pressing problem at hand. With meticulous clarity, it unravels the complexities of ChatGPT, an innovative AI technology, and its revolutionary potential in the realm of customer engagement. It offers a lifeline to academic scholars seeking to navigate the uncharted territory of AI, providing them with an in-depth understanding of how ChatGPT can reshape customer interactions. |
| chatgpt crypto 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. |
| chatgpt crypto trading bot: 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. |
| chatgpt crypto trading bot: Trading for a Living Alexander Elder, 1993-03-22 Trading for a Living Successful trading is based on three M's: Mind, Method, and Money. Trading for a Living helps you master all of those three areas: * How to become a cool, calm, and collected trader * How to profit from reading the behavior of the market crowd * How to use a computer to find good trades * How to develop a powerful trading system * How to find the trades with the best odds of success * How to find entry and exit points, set stops, and take profits Trading for a Living helps you discipline your Mind, shows you the Methods for trading the markets, and shows you how to manage Money in your trading accounts so that no string of losses can kick you out of the game. To help you profit even more from the ideas in Trading for a Living, look for the companion volume--Study Guide for Trading for a Living. It asks over 200 multiple-choice questions, with answers and 11 rating scales for sharpening your trading skills. For example: Question Markets rise when * there are more buyers than sellers * buyers are more aggressive than sellers * sellers are afraid and demand a premium * more shares or contracts are bought than sold * I and II * II and III * II and IV * III and IV Answer B. II and III. Every change in price reflects what happens in the battle between bulls and bears. Markets rise when bulls feel more strongly than bears. They rally when buyers are confident and sellers demand a premium for participating in the game that is going against them. There is a buyer and a seller behind every transaction. The number of stocks or futures bought and sold is equal by definition. |
| chatgpt crypto trading bot: Hands-On Bitcoin Programming with Python Harish Garg, 2018-08-30 Simplified Python programming for Bitcoin and blockchain Key Features Build Bitcoin applications in Python with the help of simple examples Mine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading bots Analyze Bitcoin transactions and produce visualizations using Python data analysis tools Book Description Bitcoin is a cryptocurrency that’s changing the face of online payments. Hands-On Bitcoin Programming with Python teaches you to build software applications for mining and creating Bitcoins using Python. This book starts with the basics of both Bitcoin and blockchain and gives you an overview of these inherent concepts by showing you how to build Bitcoin-driven applications with Python. Packed with clear instructions and practical examples, you will learn to understand simple Python coding examples that work with this cryptocurrency. By the end of the book, you’ll be able to mine Bitcoins, accept Bitcoin payments on the app, and work with the basics of blockchain technology to create simply distributed ledgers. What you will learn Master the Bitcoin APIs in Python to manipulate Bitcoin from your Python apps Build your own Bitcoin trading bots to buy Bitcoins at a lower price and sell them at a higher price Write scripts to process Bitcoin payments through a website or app Develop software for Bitcoin mining to create Bitcoin currency on your own computer hardware Create your own keys, addresses, and wallets in Python code Write software to analyze Bitcoin transactions and produce reports, graphs, and other visualizations Who this book is for Hands-On Bitcoin Programming with Python consists of examples that will teach you to build your own Bitcoin application. You will learn to write scripts, build software for mining, and create Bitcoins using Python. Anyone with prior Python experience, who wants to explore Python Bitcoin programming and start building Bitcoin-driven Python apps, will find this book useful. |
| chatgpt crypto 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. |
| chatgpt crypto 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. |
| chatgpt crypto 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. |
| chatgpt crypto trading bot: Merchant Kings Stephen R. Bown, 2010-12-07 Commerce meets conquest in this swashbuckling story of the six merchant-adventurers who built the modern world It was an era when monopoly trading companies were the unofficial agents of European expansion, controlling vast numbers of people and huge tracts of land, and taking on governmental and military functions. They managed their territories as business interests, treating their subjects as employees, customers, or competitors. The leaders of these trading enterprises exercised virtually unaccountable, dictatorial political power over millions of people. The merchant kings of the Age of Heroic Commerce were a rogue's gallery of larger-than-life men who, for a couple hundred years, expanded their far-flung commercial enterprises over a sizable portion of the world. They include Jan Pieterszoon Coen, the violent and autocratic pioneer of the Dutch East India Company; Peter Stuyvesant, the one-legged governor of the Dutch West India Company, whose narrow-minded approach lost Manhattan to the British; Robert Clive, who rose from company clerk to become head of the British East India Company and one of the wealthiest men in Britain; Alexandr Baranov of the Russian American Company; Cecil Rhodes, founder of De Beers and Rhodesia; and George Simpson, the Little Emperor of the Hudson's Bay Company, who was chauffeured about his vast fur domain in a giant canoe, exhorting his voyageurs to paddle harder so he could set speed records. Merchant Kings looks at the rise and fall of company rule in the centuries before colonialism, when nations belatedly assumed responsibility for their commercial enterprises. A blend of biography, corporate history, and colonial history, this book offers a panoramic, new perspective on the enormous cultural, political, and social legacies, good and bad, of this first period of unfettered globalization. |
| chatgpt crypto 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. |
| chatgpt crypto trading bot: The Future of Finance Henri Arslanian, Fabrice Fischer, 2019-07-15 This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like. |
| chatgpt crypto trading bot: Trading Evolved Andreas F. Clenow, 2019-08-07 Systematic trading allows you to test and evaluate your trading ideas before risking your money. By formulating trading ideas as concrete rules, you can evaluate past performance and draw conclusions about the viability of your trading plan. Following systematic rules provides a consistent approach where you will have some degree of predictability of returns, and perhaps more importantly, it takes emotions and second guessing out of the equation. From the onset, getting started with professional grade development and backtesting of systematic strategies can seem daunting. Many resort to simplified software which will limit your potential. Trading Evolved will guide you all the way, from getting started with the industry standard Python language, to setting up a professional backtesting environment of your own. The book will explain multiple trading strategies in detail, with full source code, to get you well on the path to becoming a professional systematic trader. This is a highly practical book, where every aspect is explained, all source code shown and no holds barred. Written by Andreas F. Clenow, author of the international best sellers Following the Trend and Stocks on the Move, Trading Evolved goes into greater depth and covers strategies for trading both futures and equities. Trading Evolved is an incredible resource for aspiring quants. Clenow does an excellent job making complex subjects easy to access and understand. Bravo. -- Wes Gray, PhD, CEO Alpha Architect |
| chatgpt crypto trading bot: Automated Trading Strategies Using C# and Ninjatrader 7 Ryan M. Moore, 2014-07-22 In this book, we'll be walking hands-on-tutorial-style through the creation of an automated stock trading strategy using C# and the NinjaTrader platform, as well as methods for testing out its potential success. By the end of this book, you should be able to not only create a simple trading strategy, but also understand how to test it against historical market data, debug it, and even log data into a custom database for further analysis. Even if you have limited C# and trading strategy experience, the examples in this book will provide a great foundation for getting into automated trading and safely testing out strategy ideas before risking real money in the market. |
| chatgpt crypto trading bot: Trading in the Zone Mark Douglas, 2001-01-01 Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money. He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the probabilities of market movement that governs all market speculation. |
| chatgpt crypto trading bot: Quant Job Interview Questions and Answers Mark Joshi, Nick Denson, Nicholas Denson, Andrew Downes, 2013 The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, The Concepts and Practice of Mathematical Finance. |
| chatgpt crypto trading bot: Ditch That Textbook Matt Miller, 2015-04-13 Textbooks are symbols of centuries-old education. They're often outdated as soon as they hit students' desks. Acting by the textbook implies compliance and a lack of creativity. It's time to ditch those textbooks--and those textbook assumptions about learning In Ditch That Textbook, teacher and blogger Matt Miller encourages educators to throw out meaningless, pedestrian teaching and learning practices. He empowers them to evolve and improve on old, standard, teaching methods. Ditch That Textbook is a support system, toolbox, and manifesto to help educators free their teaching and revolutionize their classrooms. |
| chatgpt crypto trading bot: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| chatgpt crypto trading bot: Fibonacci’s Liber Abaci Laurence Sigler, 2012-12-06 First published in 1202, Fibonacci’s Liber Abaci was one of the most important books on mathematics in the Middle Ages, introducing Arabic numerals and methods throughout Europe. This is the first translation into a modern European language, of interest not only to historians of science but also to all mathematicians and mathematics teachers interested in the origins of their methods. |
| chatgpt crypto 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 |
| chatgpt crypto trading bot: Mastering Python for Finance James Ma Weiming, 2015-04-29 If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required. |
| chatgpt crypto trading bot: Encyclopaedia Britannica Hugh Chisholm, 1910 This eleventh edition was developed during the encyclopaedia's transition from a British to an American publication. Some of its articles were written by the best-known scholars of the time and it is considered to be a landmark encyclopaedia for scholarship and literary style. |
| chatgpt crypto trading bot: New Concepts in Technical Trading Systems J. Welles Wilder, 1978 Classic work describing 6 proprietary systems developed by a pioneer in technical analysis. The prima ones still used are RSI, Directional Movement, and parabolics. |
| chatgpt crypto trading bot: Hacking und Cyber Security mit KI Florian Dalwigk, 2023-12-05 Erforschen Sie die faszinierende Welt der Cyber-Sicherheit! Das umfassende Buch für Einsteiger und Interessierte. Cyber-Sicherheit ist heute relevanter denn je. Die heutige Zeit erfordert ein tiefes Verständnis für Cyber-Sicherheit. Das Buch „Hacking und Cyber Security mit KI“ begleitet Sie auf Ihrer Reise, um die Grundlagen zu verstehen und sich vor modernen digitalen Bedrohungen zu schützen. Lernen Sie von einem Experten: Der Autor Florian Dalwigk hat umfassende Erfahrung im Bereich der Informatik. Nach einem dualen Informatik-Studium bei der Landeshauptstadt München sowie in der IT-Abteilung eines Krankenhauses und einer Behörde hat er sich als renommierter Sicherheitsforscher etabliert. Mit über 90.000 Abonnenten auf seinem YouTube-Kanal ist er eine prominente Figur in der IT-Community. Schritt für Schritt zur Cyber-Sicherheit: In diesem Buch werden komplexe Themen der Cyber-Sicherheit verständlich erklärt. Von KI-gestützten Angriffen von Hackern bis hin zur Erkennung von Phishing-Mails. Angriffe auf KI-Modelle und darauf basierende Anwendungen werden aufgedeckt – von Prompt-Injection bis Model Stealing. Sie erhalten eine klare Einführung in das aufstrebende Gebiet des Prompt-Engineering, das Ihnen ermöglicht, Hacking-Tools wie gobuster, hydra, fcrackzip und Passwort-Cracker zu beherrschen und anzupassen.Dieses Buch ist nicht nur ideal für Einsteiger, es ist auch eine wertvolle Ressource für Technologie-Enthusiasten und Sicherheitsinteressierte. Ihre Vorteile auf einen Blick: Klar strukturiert: Perfekt für Einsteiger, um sich Schritt für Schritt in die Welt der Cyber-Sicherheit einzufinden. Verständliche Erklärungen: Komplexe Konzepte werden verständlich dargestellt, begleitet von anschaulichen Beispielen. Umfassende Einsichten: Von KI-gestützten Angriffen bis zum Prompt-Engineering, hier finden Sie alle Werkzeuge, die Sie benötigen. Expertenwissen: Florian Dalwigk, ein angesehener Sicherheitsforscher, teilt sein fundiertes Wissen mit Ihnen. Digitale Kompetenz: Tauchen Sie ein und entdecken Sie, wie Sie die Welt der Cyber-Sicherheit beherrschen können. Sparen Sie sich teure Kurse und verbessern Sie Ihre Kenntnisse von digitaler Sicherheit bequem von Zuhause aus. Machen Sie sich bereit für ein Abenteuer in der Cyberwelt und bestellen Sie jetzt „Hacking und Cyber Security mit KI“ von Florian Dalwigk. |
| chatgpt crypto trading bot: Goomics Manu Cornet, 2018 Google is very often in the spotlight, and while its products are widely used, its internal corporate culture is still fairly obscure to most. The purpose of this book is to restore some of the original humour and playfulness of what I believe to be the Google spirit and to contribute to demystifying the company. It tries to show that Googlers are capable of not taking themselves too seriously, of making mistakes and trying their best to fix them, of voicing their opinion of the company's position, positive or negative, and sometimes of just being a little silly.--Goomics.com |
| chatgpt crypto trading bot: Always Day One Alex Kantrowitz, 2020-04-07 This is a terrific book - Kara Swisher An acclaimed tech reporter reveals the inner workings of Amazon, Facebook, Google, Apple, and Microsoft, showing how to compete with the tech titans using their own playbook. At Amazon, Day One is code for inventing like a startup, with little regard for legacy. Day Two is, in Jeff Bezos's own words, stasis, followed by irrelevance, followed by excruciating, painful decline, followed by death. Most companies today are set up for Day Two. They build advantages and defend them fiercely, rather than invent the future. But Amazon and fellow tech titans Facebook, Google, and Microsoft are operating in Day One: they prioritize reinvention over tradition and collaboration over ownership. Through 130 interviews with insiders, from Mark Zuckerberg to hourly workers, Always Day One reveals the tech giants' blueprint for sustainable success in a business world where no advantage is safe. Companies today can spin up new products at record speed -- thanks to artificial intelligence and cloud computing -- and those who stand still will be picked apart. The tech giants remain dominant because they've built cultures that spark continual reinvention. It might sound radical, but those who don't act like it's always day one do so at their own peril. Kantrowitz uncovers the engine propelling the tech giants' continued dominance at a stage when most big companies begin to decline. And he shows the way forward for everyone who wants to compete with--and beat--the titans. |
| chatgpt crypto trading bot: The Motley Fool Investment Guide David Gardner, Tom Gardner, 2001-01-02 For Making Sense of Investing Today...the Fully Revised and Expanded Edition of the Bestselling The Motley Fool Investment Guide Today, with the Internet, anyone can be an informed investor. Once you learn to tune out the hype and focus on meaningful factors, you can beat the Street. The Motley Fool Investment Guide, completely revised and updated with clear and witty explanations, deciphers all the new information -- from evaluating individual stocks to creating a diverse investment portfolio. David and Tom Gardner have investing ideas for you -- no matter how much time or money you have. This new edition of The Motley Fool Investment Guide is built for today's investor, sophisticate and novice alike, with updated information on: Finding high-growth stocks that will beat the market over the long term Identifying volatile young companies that traditional valuation measures may miss Using Fool.com and the Internet to locate great sources of useful information |
| chatgpt crypto trading bot: Blockchain for Business Jai Singh Arun, Jerry Cuomo, Nitin Gaur, 2019-01-30 The Pragmatic Guide to Driving Value and Disrupting Markets with Blockchain Blockchain’s potential to transform businesses has generated a tremendous amount of excitement across industries. However, it can be difficult for decision makers to develop a practical approach to blockchain for their specific business requirements. By identifying and clearly describing the value of blockchain for enterprises, as well as the processes required to harness blockchain to achieve business objectives, Blockchain for Business presents a startlingly concise yet comprehensive roadmap for business leaders. This book is an excellent resource for anyone looking to leverage blockchain to transform their business. —Dr. Won-Pyo Hong, President & CEO of Samsung SDS “Much has been written about blockchain in the past few years: what it is and what it is not (at various levels of detail), as well as the technology’s long-term strategic value for companies, industries, and economies. However, what we’ve been missing is a practical, operational, ‘how to’ set of steps for creating, implementing, and operating a blockchain-based solution. This book aims to fill that gap. It’s an invaluable tool for anyone ready to take the plunge and start taking advantage of this remarkable technology.” —Irving Wladawsky-Berger, research affiliate, MIT; columnist, WSJ CIO Journal; VP Emeritus, IBM I will never be able to adequately express how useful this book will be to my class. In addition the great chapters on cybersecurity, I loved the Integration Models, especially 'Coexistence with Systems of Record.' Legacy integration with Blockchain is a critical barrier, and you nailed it! —Thomas Doty, JD, LLM - Adjunct Professor, University of New Hampshire Law Blockchain enables enterprises to reinvent processes and business models and to pursue radically disruptive applications. Blockchain for Business is a concise, accessible, and pragmatic guide to both the technology and the opportunities it creates. Authored by three experts from IBM’s Enterprise Blockchain practice, it introduces industry-specific and cross-industry use cases, and reviews best-practice approaches to planning and delivering blockchain projects. With a relentless focus on real-world business outcomes, the authors reveal what blockchain can do, what it can’t do yet, and where it’s headed. Understand five elements that make blockchain so disruptive: transparency, immutability, security, consensus, and smart contracts Explore key use cases: cross-border payments, food and drug safety, provenance, trade finance, clinical trials, land registries, and more See how trusted blockchain networks are facilitating entirely new business models Compare blockchain types: permissioned, permissionless, private, public, federated, and hybrid Anticipate key technical, business, regulatory, and governance challenges Build blockchain financial models, investment rubrics, and risk frameworks Organize and manage teams to transform blockchain plans into reality Whether you’re a senior decision maker, technical professional, customer, or investor, Blockchain for Business will help you cut through the hype and objectively assess blockchain’s potential in your business. Register your product for convenient access to downloads, updates, and/or corrections as they become available. |
| chatgpt crypto trading bot: Zero to AI Nicolò Valigi, Gianluca Mauro, 2020-05-19 Summary How can artificial intelligence transform your business? In Zero to AI, you’ll explore a variety of practical AI applications you can use to improve customer experiences, optimize marketing, help you cut costs, and more. In this engaging guide written for business leaders and technology pros alike, authors and AI experts Nicolò Valigi and Gianluca Mauro use fascinating projects, hands-on activities, and real-world explanations to make it clear how your business can benefit from AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology There’s no doubt that artificial intelligence has made some impressive headlines recently, from besting chess and Go grand masters to producing uncanny deep fakes that blur the lines of reality. But what can AI do for you? If you want to understand how AI will impact your business before you invest your time and money, this book is for you. About the book Zero to AI uses clear examples and jargon-free explanations to show the practical benefits of AI. Each chapter explores a real-world case study demonstrating how companies like Google and Netflix use AI to shape their industries. You begin at the beginning, with a primer on core AI concepts and realistic business outcomes. To help you prepare for the transition, the book breaks down a successful AI implementation, including advice on hiring the right team and making decisions about resources, risks, and costs. What's inside Identifying where AI can help your organization Designing an AI strategy Evaluating project scope and business impact Using AI to boost conversion rates, curate content, and analyze feedback Understanding how modern AI works and what it can/can’t do About the reader For anyone who wants to gain an understanding of practical artificial intelligence and learn how to design and develop projects with high business impact. About the author Gianluca Mauro and Nicolò Valigi are the cofounders of AI Academy, a company specializing in AI trainings and consulting. Table of Contents: 1. An introduction to artificial intelligence PART 1 - UNDERSTANDING AI 2. Artificial intelligence for core business data 3. AI for sales and marketing 4. AI for media 5. AI for natural language 6. AI for content curation and community building PART 2 - BUILDING AI 7. Ready—finding AI opportunities 8. Set—preparing data, technology, and people 9. Go—AI implementation strategy 10. What lies ahead |
| chatgpt crypto trading bot: Louis Bachelier's Theory of Speculation Louis Bachelier, 2011-12-12 March 29, 1900, is considered by many to be the day mathematical finance was born. On that day a French doctoral student, Louis Bachelier, successfully defended his thesis Théorie de la Spéculation at the Sorbonne. The jury, while noting that the topic was far away from those usually considered by our candidates, appreciated its high degree of originality. This book provides a new translation, with commentary and background, of Bachelier's seminal work. Bachelier's thesis is a remarkable document on two counts. In mathematical terms Bachelier's achievement was to introduce many of the concepts of what is now known as stochastic analysis. His purpose, however, was to give a theory for the valuation of financial options. He came up with a formula that is both correct on its own terms and surprisingly close to the Nobel Prize-winning solution to the option pricing problem by Fischer Black, Myron Scholes, and Robert Merton in 1973, the first decisive advance since 1900. Aside from providing an accurate and accessible translation, this book traces the twin-track intellectual history of stochastic analysis and financial economics, starting with Bachelier in 1900 and ending in the 1980s when the theory of option pricing was substantially complete. The story is a curious one. The economic side of Bachelier's work was ignored until its rediscovery by financial economists more than fifty years later. The results were spectacular: within twenty-five years the whole theory was worked out, and a multibillion-dollar global industry of option trading had emerged. |
| chatgpt crypto trading bot: Tunnel Thru The Air Or Looking Back From 1940 W. D. Gann, 2016-08-09 In this inspirational masterpiece about the role of the human being in the universe, finance trader and author W. D. Gann uses the Bible to explore the secret to successful living. Through direct teachings from the Bible, the reader may learn how to understand, obey and apply the universal laws revealed in the Bible in order to bring about his own latent talents and powers, and in turn be firmly set on the road towards health, happiness and prosperity. |
| chatgpt crypto trading bot: Hands-On Deep Learning for Games Micheal Lanham, 2019-03-30 Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key FeaturesApply the power of deep learning to complex reasoning tasks by building a Game AIExploit the most recent developments in machine learning and AI for building smart gamesImplement deep learning models and neural networks with PythonBook Description The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron’s to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments. As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning. What you will learnLearn the foundations of neural networks and deep learning.Use advanced neural network architectures in applications to create music, textures, self driving cars and chatbots. Understand the basics of reinforcement and DRL and how to apply it to solve a variety of problems.Working with Unity ML-Agents toolkit and how to install, setup and run the kit.Understand core concepts of DRL and the differences between discrete and continuous action environments.Use several advanced forms of learning in various scenarios from developing agents to testing games.Who this book is for This books is for game developers who wish to create highly interactive games by leveraging the power of machine and deep learning. No prior knowledge of machine learning, deep learning or neural networks is required this book will teach those concepts from scratch. A good understanding of Python is required. |
| chatgpt crypto trading bot: The Barefoot Investor Scott Pape, 2019-06-12 ** Reviewed and updated for the 2020-2021 financial year** This is the only money guide you'll ever need That's a bold claim, given there are already thousands of finance books on the shelves. So what makes this one different? Well, you won't be overwhelmed with a bunch of 'tips' ... or a strict budget (that you won't follow). You'll get a step-by-step formula: open this account, then do this; call this person, and say this; invest money here, and not there. All with a glass of wine in your hand. This book will show you how to create an entire financial plan that is so simple you can sketch it on the back of a serviette ... and you'll be able to manage your money in 10 minutes a week. You'll also get the skinny on: Saving up a six-figure house deposit in 20 months Doubling your income using the 'Trapeze Strategy' Saving $78,173 on your mortgage and wiping out 7 years of payments Finding a financial advisor who won't rip you off Handing your kids (or grandkids) a $140,000 cheque on their 21st birthday Why you don't need $1 million to retire ... with the 'Donald Bradman Retirement Strategy' Sound too good to be true? It's not. This book is full of stories from everyday Aussies — single people, young families, empty nesters, retirees — who have applied the simple steps in this book and achieved amazing, life-changing results. And you're next. |
| chatgpt crypto trading bot: Fintech in Islamic Finance Umar A. Oseni, S. Nazim Ali, 2019-06-07 Featuring high-level analysis of Islamic law, this book examines fintech in Islamic finance from both theoretical and empirical perspectives. Whilst building on existing approaches, it also discusses the current application of fintech in promoting financial inclusion through innovative solutions in Muslim-majority countries, identifying future directions for policy-makers. With original chapters written by prominent academics, senior lawyers and practitioners in the global Islamic finance industry, this book serves as the first standalone pioneering reference work on fintech in Islamic finance. It also, for the first time, examines the position of Islamic law on cryptocurrencies, such as bitcoin. Besides the conceptual analysis of the Sharīʿah and legal aspects of fintech in Islamic finance, this book provides relevant case studies showing current and potential developments in the application of fintech in various sectors ranging from crowdfunding and smart contracts, to Online Dispute Resolution, Investment Account Platform and identity verification in the KYC process. Setting the agenda for researchers in the field, Fintech in Islamic Finance will be useful to students and scholars of Islamic finance and financial technology. |
| chatgpt crypto trading bot: Cryptocurrency Investing For Dummies Kiana Danial, 2019-02-12 The ultimate guide to the world of cryptocurrencies! While the cryptocurrency market is known for its volatility—and this volatility is often linked to the ever-changing regulatory environment of the industry—the entire cryptocurrency market is expected to reach a total value of $1 trillion this year. If you want to get in on the action, this book shows you how. Cryptocurrency Investing For Dummies offers trusted guidance on how to make money trading and investing in the top 200 digital currencies, no matter what the market sentiment. You'll find out how to navigate the new digital finance landscape and choose the right cryptocurrency for different situations with the help of real-world examples that show you how to maximize your cryptocurrency wallet. Understand how the cryptocurrency market works Find best practices for choosing the right cryptocurrency Explore new financial opportunities Choose the right platforms to make the best investments This book explores the hot topics and market moving events affecting cryptocurrency prices and shows you how to develop the smartest investment strategies based on your unique risk tolerance. |
| chatgpt crypto trading bot: Cryptocurrencies and Blockchain Technology Andrew Karpan, 2019-07-15 With cryptocurrencies like Bitcoin on the rise, many wonder if these digital currencies could be the exchange medium of the future, but what are cryptocurrencies and the blockchain technology that facilitates them? Blockchain technology involves linking a series of digital records through cryptography without the use of a centralized server, which when applied to asset exchange creates cryptocurrencies. However, there are various concerns about the ability to regulate cryptocurrencies, their stability, and whether they can be applied on a global scale. This volume enables readers to better understand these new technologies and the controversies surrounding them. |
| chatgpt crypto trading bot: Reinforcement Learning, second edition Richard S. Sutton, Andrew G. Barto, 2018-11-13 The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning. |
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