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| chatgpt stock 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 stock 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 stock 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 stock 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 stock 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 stock 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 stock 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 stock 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. |
| chatgpt stock trading bot: Stock Investing For Dummies Paul Mladjenovic, 2024-05-07 Get started with stock investing and achieve your personal finance goals The bestselling Stock Investing For Dummies is full of practical and realistic stock market guidance. Today's market is full of surprises, and this book will help you understand all aspects of the investing process, so you can thrive as an investor, come what may. With straightforward direction from a renowned best-selling author and national financial authority , this book discusses the many different ways you can invest in stocks, so you can create a portfolio that works for you. You'll also find updates on the latest trends and growth opportunities, plus insights into what it means to invest wisely in the current financial environment. Be confident in your investment decisions, thanks to this sound Dummies advice. Build a strategic stock portfolio that meets your needs Discover the basics of investing, including how to invest in difficult markets Learn how to invest in AI and how to make the most of AI investing tools Explore ETFs, preferred stocks, options, factor investing, stock warrants , and beyond This is a great Dummies guide for new investors looking for a comprehensive guide on the current stock market, as well as those looking to brush up their stock investing skills. |
| chatgpt stock 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 stock trading bot: Applications, Challenges, and the Future of ChatGPT Sharma, Priyanka, Jyotiyana, Monika, Kumar, A.V. Senthil, 2024-05-28 The rapid progress of artificial intelligence (AI) technologies has resulted in a complicated landscape for researchers and practitioners. Understanding and navigating the complexities of AI applications, particularly in the context of ChatGPT and its interactions with other AI tools, can be challenging. Researchers and academics need guidance to keep up with these technologies' evolving trends and implications, which leads to gaps in knowledge and implementation strategies. Additionally, the ethical and societal impacts of integrating AI into various domains remain a significant concern, requiring a comprehensive approach to address. Applications, Challenges, and the Future of ChatGPT provide a comprehensive solution to these issues by offering a detailed analysis of the current research trends in AI, focusing on ChatGPT and its interactions with other AI tools. The book delves into how we can effectively utilize ChatGPT and other AI tools to address complex problems by exploring AI applications' collaborative potentials and emerging paradigms. By identifying research gaps and suggesting future directions, this book equips researchers and practitioners with the knowledge and tools necessary to navigate the evolving landscape of AI. |
| chatgpt stock 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. |
| chatgpt stock 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. |
| chatgpt stock 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 stock trading bot: Impact and implications of AI methods and tools for the future of education Kingsley Okoye, Samira Hosseini, Kamal Kant Hiran , Julius Nganji, 2024-06-07 The congruence of technology such as AI and its use for education can help transform the different pedagogical practices and future of education. Educational organizations like The UNESCO and The World Bank are already calling for research and development-oriented projects, and creation/mobilization of technological initiatives on how to re-imagine education and operationalize the use of digital technologies for its purpose, the Digitized-Education. Those goals mean or include methodological approaches and wide adoption of the AI-methods in fostering education in the classroom or learning environments. Also noteworthy is the fact that digitized-education is now an inevitable and integral element to achieving the global sustainable development goals (SDGs) particularly the SDG4 that promotes quality of education. |
| chatgpt stock trading bot: Naked Forex Alex Nekritin, Walter Peters, 2012-03-06 A streamlined and highly effective approach to trading without indicators Most forex traders rely on technical analysis books written for stock, futures, and option traders. However, long before computers and calculators, traders were trading naked. Naked trading is the simplest (and oldest) trading method. It's simply trading without technical indicators, and that is exactly what this book is about. Traders who use standard technical indicators focus on the indicators. Traders using naked trading techniques focus on the price chart. Naked trading is a simple and superior way to trade and is suited to those traders looking to quickly achieve expertise with a trading method. Offers a simpler way for traders to make effective decisions using the price chart Based on coauthor Walter Peters method of trading and managing money almost exclusively without indicators Coauthor Alexander Nekritin is the CEO and President of TradersChoiceFX, one of the largest Forex introducing brokers in the world Naked Forex teaches traders how to profit the simple naked way! |
| chatgpt stock 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 stock trading bot: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed] |
| chatgpt stock 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 stock 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 stock 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 stock 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 stock trading bot: The Predictive Edge Alejandro Lopez-Lira, 2024-07-02 Use ChatGPT to improve your analysis of stock markets and securities In The Predictive Edge: Outsmart the Market Using Generative AI and ChatGPT in Financial Forecasting, renowned AI and finance researcher Dr. Alejandro Lopez-Lira delivers an engaging and insightful new take on how to use large language models (LLMs) like ChatGPT to find new investment opportunities and make better trading decisions. In the book, you’ll learn how to interpret the outputs of LLMs to craft sounder trading strategies and incorporate market sentiment into your analyses of individual securities. In addition to a complete and accessible explanation of how ChatGPT and other LLMs work, you’ll find: Discussions of future trends in artificial intelligence and finance Strategies for implementing new and soon-to-come AI tools into your investing strategies and processes Techniques for analyzing market sentiment using ChatGPT and other AI tools A can’t-miss playbook for taking advantage of the full potential of the latest AI advancements, The Predictive Edge is a fully to-date and exciting exploration of the intersection of tech and finance. It will earn a place on the bookshelves of individual and professional investors everywhere. |
| chatgpt stock trading bot: TensorFlow 2 Reinforcement Learning Cookbook Praveen Palanisamy, 2021-01-15 Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key FeaturesDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and servicesExplore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic methodCustomize and build RL-based applications for performing real-world tasksBook Description With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you’ll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch. What you will learnBuild deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras APIImplement state-of-the-art deep reinforcement learning algorithms using minimal codeBuild, train, and package deep RL agents for cryptocurrency and stock tradingDeploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud servicesSpeed up agent development using distributed DNN model trainingExplore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service)Who this book is for The book is for machine learning application developers, AI and applied AI researchers, data scientists, deep learning practitioners, and students with a basic understanding of reinforcement learning concepts who want to build, train, and deploy their own reinforcement learning systems from scratch using TensorFlow 2.x. |
| chatgpt stock trading bot: Tcl/Tk in a Nutshell Paul Raines, Jeff Tranter, 1999-03-25 The Tcl language and Tk graphical toolkit are simple and powerful building blocks for custom applications. The Tcl/Tk combination is increasingly popular because it lets you produce sophisticated graphical interfaces with a few easy commands, develop and change scripts quickly, and conveniently tie together existing utilities or programming libraries.One of the attractive features of Tcl/Tk is the wide variety of commands, many offering a wealth of options. Most of the things you'd like to do have been anticipated by the language's creator, John Ousterhout, or one of the developers of Tcl/Tk's many powerful extensions. Thus, you'll find that a command or option probably exists to provide just what you need.And that's why it's valuable to have a quick reference that briefly describes every command and option in the core Tcl/Tk distribution as well as the most popular extensions. Keep this book on your desk as you write scripts, and you'll be able to find almost instantly the particular option you need.Most chapters consist of alphabetical listings. Since Tk and mega-widget packages break down commands by widget, the chapters on these topics are organized by widget along with a section of core commands where appropriate. Contents include: Core Tcl and Tk commands and Tk widgets C interface (prototypes) Expect [incr Tcl] and [incr Tk] Tix TclX BLT Oratcl, SybTcl, and Tclodbc |
| chatgpt stock 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 stock 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 stock trading bot: Holub on Patterns Allen Holub, 2004-09-27 * Allen Holub is a highly regarded instructor for the University of California, Berkeley, Extension. He has taught since 1982 on various topics, including Object-Oriented Analysis and Design, Java, C++, C. Holub will use this book in his Berkeley Extension classes. * Holub is a regular presenter at the Software Development conferences and is Contributing Editor for the online magazine JavaWorld, for whom he writes the Java Toolbox. He also wrote the OO Design Process column for IBM DeveloperWorks. * This book is not time-sensitive. It is an extremely well-thought out approach to learning design patterns, with Java as the example platform, but the concepts presented are not limited to just Java programmers. This is a complement to the Addison-Wesley seminal Design Patterns book by the Gang of Four. |
| chatgpt stock trading bot: Mastering AI Jeremy Kahn, 2024-07-09 A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening. Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next. |
| chatgpt stock 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 stock trading bot: The Grand Chessboard Zbigniew Brzezinski, 2016-12-06 Bestselling author and eminent foreign policy scholar Zbigniew Brzezinski's classic book on American's strategic mission in the modern world. In The Grand Chessboard, renowned geostrategist Zbigniew Brzezinski delivers a brutally honest and provocative vision for American preeminence in the twenty-first century. The task facing the United States, he argues, is to become the sole political arbiter in Eurasian lands and to prevent the emergence of any rival power threatening our material and diplomatic interests. The Eurasian landmass, home to the greatest part of the globe's population, natural resources, and economic activity, is the grand chessboard on which America's supremacy will be ratified and challenged in the years to come. In this landmark work of public policy and political science, Brzezinski outlines a groundbreaking and powerful blueprint for America's vital interests in the modern world. In this revised edition, Brzezinski addresses recent global developments including the war in Ukraine, the re-emergence of Russia, and the rise of China. |
| chatgpt stock trading bot: The Complete Penny Stock Course Jamil Ben Alluch, 2018-04-09 You can learn trading penny stocks from the masses and become part of the 90% of traders who lose money in the stock market, or you can learn from the Best. The Complete Penny Stock Course is based on Timothy Sykes’, various training programs. His strategies have helped individuals like Tim Grittani, Michael Goode and Stephen Dux become millionaires within a couple of years. This course aims to teach you how to become a consistently profitable trader, by taking Tim’s profit-making strategies with penny stocks and presenting them in a well-structured learning format. You’ll start by getting acquainted with the concepts of market and trading psychology. Then you’ll get into the basics of day trading, how to manage your risk and the tools that will help you become profitable. Along the way, you’ll learn strategies and techniques to become consistent in your gains and develop your own trading techniques. What’s inside: - Managing expectations and understanding the market, - Understanding the psychology of trading and how it affects you, - Learning the basics of day trading, - Learning the mechanics of trading penny stocks, - Risk management and how to take safe positions, - How to trade through advanced techniques - Developing your own profitable trading strategy - Real world examples and case studies No prior trading experience is required. |
| chatgpt stock trading bot: Working Effectively with Legacy Code Michael Feathers, 2004-09-22 Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts. In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform—with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structure This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes. |
| chatgpt stock 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 stock 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. |
| chatgpt stock trading bot: MarketPsych Richard L. Peterson, Frank F. Murtha, 2010-07-30 An investor's guide to understanding the most elusive (yet most important) aspect of successful investing - yourself. Why is it that the investing performance of so many smart people reliably and predictably falls short? The answer is not that they know too little about the markets. In fact, they know too little about themselves. Combining the latest findings from the academic fields of behavioral finance and experimental psychology with the down-and-dirty real-world wisdom of successful investors, Drs. Richard Peterson and Frank Murtha guide both new and experienced investors through the psychological learning process necessary to achieve their financial goals. In an easy and entertaining style that masks the book’s scientific rigor, the authors make complex scientific insights readily understandable and actionable, shattering a number of investing myths along the way. You will gain understanding of your true investing motivations, learn to avoid the unseen forces that subvert your performance, and build your investor identity - the foundation for long-lasting investing success. Replete with humorous games, insightful self-assessments, entertaining exercises, and concrete planning tools, this book goes beyond mere education. MarketPsych: How to Manage Fear and Build Your Investor Identity functions as a psychological outfitter for your unique investing journey, providing the tools, training and equipment to help you navigate the right paths, stay on them, and see your journey through to success. |
| chatgpt stock 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 stock trading bot: Granville’s New Key to Stock Market Profits Joseph E. Granville, 2018-12-05 In this remarkable stock market study, one of Wall Street’s best known market analysts reveals a new technical tool he developed for gauging the pulse of the trading cycle. Called the On Balance Volume Theory, this tool tends to fill in some of the conspicuous voids in the famous Dow Theory—especially the lack of discussion and use of stock volume figures. As straightforward as a set of bridge rules, on-balance volume (OBV) denotes each buy and sell signal so that a trader can follow them without his own emotions tending to lead him astray—emotions causing most of the market misjudgements that take place. The Granville OBV method is essentially scientific, has a high degree of accuracy and has many automatic features. The reader of this book will be introduced to a method whereby he may benefit by the earlier movements of volume over price—the “early warning” radar of volume buy and sell signals. |
| chatgpt stock 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. |
| chatgpt stock 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. |
GitHub - ChatGPT-CN-Guide/chatgpt-4o: ChatGPT中文版：国内 …
5 days ago · ChatGPT中文版：国内访问指南（支持 GPT-4、GPT-4o、GPT-o1，无需翻墙）【5月持续更新】ChatGPT中文版、ChatGPT官网、ChatGPT网页版，本文提供完整的 …
国内如何使用 ChatGPT？最容易懂的 ChatGPT 介绍与教学指南
Jun 8, 2025 · ChatGPT 中文版 是 OpenAI 专为中文用户量身定做的智能对话工具，旨在提供更加顺畅且精准的中文交流体验。与国际版相比，ChatGPT 中文版在以下几个方面更符合国内用 …
GitHub - chatgpt-chinese-gpt/chatgpt-mirrors: ChatGPT中文版镜 …
3 days ago · ChatGPT中文版镜像网站合集（支持GPT-4，无需翻墙，实时更新）2025年最新 ChatGPT 中文版镜像网站。
GitHub - ChatGPT-CN-Guide/ChatGPT: ChatGPT官网及中文版入 …
3 days ago · ChatGPT官网及中文版入口推荐：最新镜像网站指南，全面掌握 ChatGPT 中文版，无需翻墙即可体验 GPT-4 与多功能服务！ 本指南旨在为用户提供详尽的 ChatGPT 中文版 …
ChatGPT 中文版：国内直连指南（支持GPT-4、4o、o1 ... - GitHub
2 days ago · 镜像站地址 支持版本 免费额度 注册方式 稳定性 功能亮点; lanjing.pro: GPT-4, GPT-4o, GPT-o1: 有 ...
ChatGPT 国内使用保姆教程以及无限制使用 ChatGPT 4.0 的方 …
May 27, 2025 · 中文版 ChatGPT 是 OpenAI 针对中文用户需求精心优化的智能对话工具，旨在提供更加流畅和精准的中文服务。与原版相比，中文版 ChatGPT 在多个方面更贴合国内用户的 …
别再找了！最全 ChatGPT 4/4o 中文版官网+国内使用指南（附免 …
2 days ago · ChatGPT 中文版 是 OpenAI 开发的 ChatGPT 模型的中文优化版本，专为国内用户服务，提供更流畅、更精准的中文对话体验。 与官方 ChatGPT 相比，ChatGPT 中文版在以下 …
chatgpt-zh/chatgpt-china-guide: ChatGPT官网 - GitHub
May 27, 2025 · ChatGPT 中文版和官网有何不同？ 中文版是专为国内用户优化的服务，通过镜像站提供更快、更稳定的访问，而官网需要翻墙访问。 ChatGPT 中文版是否支持 GPT-4？ 是 …
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3 days ago · ChatGPT中文版免费使用指南（支持GPT-4，GPT-4o，GPT-o1以及grok，无需翻墙）【5月最新】 - chatgpt-chinese-gpt/chatgpt-freecn
chatgpt-chinese-gpt/ChatGPT-site-mirrors - GitHub
4 days ago · 无需翻墙，轻松访问 GPT-4 和 ChatGPT 的最新服务！本项目为您全面整理了国内可用的 ChatGPT 镜像站资源，涵盖站点推荐、功能对比、免费额度和详细使用教程，助您快速 …
Potential of ChatGPT in predicting stock market trends based …
positively with its trading volume. Siganos et al. (2014) argued for the advantages of real-time tweet analysis over daily aggregation, suggesting that intraday tweet volumes and sentiment …
10 SIGNS OF A SCAM CRYPTO OR FOREX TRADING WEBSITE
scam trading platform. Fraudulent trading websites might display messaging-app phone numbers, but these are easy to fake and easy to change. It’s also common for scam sites to only offer …
CHAT GPT, - Instituto Politécnico Nacional
EDITORIAL. Inteligencia artificial y generación . del conocimiento. V. ivimos en un contexto donde las tecnologías de la información . y la comunicación, así como la Inteligencia Artificial (IA), están
How can we use ChatGPT better: A research
the performance of ChatGPT in stock market analysis. We hypothesize that the API-enhanced ChatGPT structure will demonstrate improved accuracy, risk-adjusted returns, and predictive …
Abstract arXiv:2304.05351v2 [cs.CL] 28 Apr 2023
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over Multimodal Stock Movement Prediction Challenges Qianqian Xie, ... prediction date, which is the next trading day after the …
Potential of ChatGPT in predicting stock market trends based …
positively with its trading volume. Siganos et al. (2014) argued for the advantages of real-time tweet analysis over daily aggregation, suggesting that intraday tweet volumes and sentiment …
Generative AI for Economic Research: Use Cases and
analyze how large language models (LLMs) such as ChatGPT can assist economists by describing dozens of use cases in six areas: ideation and feedback, writing, back- ground …
ChatGPT 30+ Prompts for Marketers - ToTheWeb
Apr 5, 2023 · ChatGPT reached around 100 million users just 2.5 months after its launch, according to a UBS study based on Similarweb data. Do you use ChatGPT? Maybe you’re …
Bloated Disclosures: Can ChatGPT Help Investors Process …
Generative AI tools such as ChatGPT are expected to disrupt numerous industries and could fundamentally alter the way economic agents process information. We probe the economic …
Can ChatGPT Forecast Stock Price Movements? Return …
• Growing interest in LLMs like ChatGPT, but capabilities in financial economics largely unexplored • News (and textual information) can move stock prices. We know markets do not …
ChatGPT for Security and Stock Market Professionals
How to prepare for the security interviews and assessments for ChatGPT professionals Module 5 : Why ChatGPT for Stock Market Experts? ChatGPT relevance in Stock Trading Importance of …
Can ChatGPT Forecast Stock Price Movements? - arXiv.org
Apr 6, 2023 · predictions and enhance the performance of quantitative trading strategies. Predictability is ... By exploring the capabilities of ChatGPT in predicting stock market returns, …
ChatGPTs prediktion av nyhetsartiklars inverkan på aktier - DiVA
Models (LLMs) such as ChatGPT, we can now analyze financial news with a scale and precision that was previously impossible. This work investigates whether LLMs can predict stock move …
Discussion: “Can ChatGPT Forecast Stock Price Movements?
The widespread adoption of LLM-based signals and trading =⇒market efficiency↑ Procedure: Step 1: Prompt ChatGPT to interpret news headlines as good, bad, or neutral-Low-frequency, …
Large Language Model Agent in Financial Trading: A Survey
Google Scholar search using keywords such as "LLM for trading" and "GPT stock agent." Each paper was manually assessed to con-firm its relevance to financial trading with LLM agents. To …
A Review of ChatGPT and its Impact in Different Domains
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 18, Number 2 (2023) pp. 119-123 , , , , , , , ,
Stock Trading Bot Using Deep Reinforcement Learning
the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.
ChatGPT-Based Investment Portfolio Selection - Springer
index. These trading universes varied in size, consisting of 15, 30, and 45 stocks, respectively. We further asked ChatGPT to assign asset weights to each of the stocks, leading to the …
LEVERAGING CHATGPT FOR ADVANCED FINANCIAL …
applications using ChatGPT. 3. PROMPT PATTERNS FOR FINANCE Prompt Pattern 1: Financial Market Analysis Intent and Context: This prompt pattern is designed to extract and analyze …
Discussion: “Can ChatGPT Forecast Stock Price Movements?
The widespread adoption of LLM-based signals and trading =⇒market efficiency↑ Procedure: Step 1: Prompt ChatGPT to interpret news headlines as good, bad, or neutral-Low-frequency, …
Would Chat GPT3 Get a Wharton MBA? - Mack Institute for …
• Given that ChatGPT has demonstrated some creativity in producing poetry and song lyrics, I tested if it would be able to produce new questions for future exams and the next edition of my …
Can ChatGPT Predict Stock Market Price Movements?
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Can ChatGPT Forecast Stock Price Movements? - Typeset
headline, we use ChatGPT to assess whether it is good, bad, or neutral for firms’ stock prices. We convert these responses to numerical scores and use them to predict stock returns on the next …
Can ChatGPT Forecast Stock Price Movements? Return …
with a positive ChatGPT-4 score and sells stocks with a negative ChatGPT-4 score after the news announcement delivers the highest Sharpe ratio of 3.8 over our sample period, compared to a …
Dispute Resolution Enhanced: How Arbitrators and Mediators …
OpenAI’s ChatGPT-4.6 First, we compare CoCounsel’s and Claude’s summaries of the proposed “Restricting the Emergence of Security Threats that Risk Information and Communications …
ChatGPTs prediktion av nyhetsartiklars inverkan på aktier:
Models (LLMs) such as ChatGPT, we can now analyze financial news with a scale and precision that was previously impossible. This work investigates whether LLMs can predict stock move …
Global leading trading and GPT analysis technology …
The pioneers in Stock trading also included permission in the 1880s.M.Do Espirito Santo de Silva 。In 1880, a monetary system with gold as the standard currency was formed. As a result, …
Can ChatGPT Forecast Stock Price Movements? - arXiv.org
headline, we use ChatGPT to assess whether it is good, bad, or neutral for firms’ stock prices. We convert these responses to numerical scores and use them to predict stock returns on the next …
FinRobot: An Open-Source AI Agent Platform for Financial …
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models Hongyang (Bruce) Yang 1, Boyu Zhang , Neng Wang , Cheng Guo , Xiaoli Zhang 1, …
Jailbreaking ChatGPT via Prompt Engineering: An Empirical …
Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study Yi Liu ∗, Gelei Deng , Zhengzi Xu , Yuekang Li†, Yaowen Zheng∗, Ying Zhang‡, Lida Zhao∗, Kailong Wang§, Tianwei …
NNFX Trade Assistant V4 - Forex Factory
The NNFX Trade Assistant is a prototype trading tool and should be used on a practice/demo trading account to fully understand the functionallity of the tool. The NNFX Trade Assistant has …
Can ChatGPT Forecast Stock Price Movements?
Apr 6, 2023 · predictions and enhance the performance of quantitative trading strategies. Predictability is ... By exploring the capabilities of ChatGPT in predicting stock market returns, …
More online interaction, more stock liquidity: Evidence from …
the potential nonlinear relationship between online platform interaction and stock liquidity. We find that reply length has an inverted U-shaped effect on stock liquidity, which rises first and then …
Prompt Engineering For ChatGPT: A Quick Guide To …
engineering on ChatGPT performance, future research directions, and the importance of fostering creativity and collaboration within the ChatGPT community. This article was generated using …
Can ChatGPT Forecast Stock Price Movements? - arXiv.org
Apr 6, 2023 · tween these \ChatGPT scores" and subsequent daily stock market returns. Further, ChatGPT outperforms traditional sentiment analysis methods. We nd that more basic models …
Can ChatGPT Forecast Stock Price Movements? - arXiv.org
Apr 6, 2023 · ChatGPT’s ability to generate human-like responses has made it a powerful tool for creating chatbots and virtual assistants that can converse with users in a natural and intuitive …
Can ChatGPT Generate Stock Tickers to Buy and Sell for Day
empirical asset pricing. My research question is whether ChatGPT, essentially a generative AI model, can generate stock tickers when it receives not only firm-specific information but also …
Can ChatGPT Generate Factors of Stock Markets? - SSRN
language model, successfully constructing profit-driven factors in the domain of stock investment. Our methodology is straightforward; we only need to inform ChatGPT about our data format, …
Can ChatGPT reduce human financial analysts’ optimistic …
for stocks using ChatGPT, classifying news as good, bad, or irrelevant. They construct a ‘ChatGPT score’ for each stock and find that it is positively correlated with subsequent daily …
Can ChatGPT Forecast Stock Price Movements? - arXiv.org
headline, we use ChatGPT to assess whether it is good, bad, or neutral for firms’ stock prices. We convert these responses to numerical scores and use them to predict stock returns on the next …
Potential of ChatGPT in predicting stock market trends based …
ensure ChatGPT allowed token limit does not exceed. 3.2. Sentiment Analysis and Stock Market Prediction using ChatGPT . Instruction-Based Prompt Engineering Input: For sentiment …
AI-Driven Financial Analysis: Exploring ChatGPT s Capabilities …
AI-driven trading strategies have shown to outperform human traders under various market conditions including during crises such as the COVID-19 pandemic (Burgess2021). The …
Machine Learning and Event Study to Explore the Influence of …
the the stock price from 2022 to 2023 as shown in Figure 1, which provides a solid and recent basis for us to explore its most fitted model and investigate the effect of ChatGPT has on the …
Can ChatGPT Forecast Stock Price Movements? - arXiv.org
Sep 13, 2024 · We document the capability of large language models (LLMs) like ChatGPT to predict stock price movements using news headlines, even without direct financial training. …
CAMEL: Communicative Agents for “Mind” Exploration of
Idea:Develop a trading bot for the stock market Human User Role Assignment: AI Assistant: Python Programmer AI User: Stock Trader Human Input Task Specifier AI Assistant AI User …
ChatGPT, Generative AI, LLMs, and Investment Advisory - SSRN
textual data. In this paper, we rst apply ChatGPT on Wall Street Journal news from 2020 January to 2023 August. Figure 1 shows the word cloud of the kind of news we obtain from Wall Street …
When AI Meets Finance (StockAgent): Large Language Model …
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments, , the inherent tendencies and learning capabilities of LLM-based …
AN EMPIRICAL STUDY ON ARBITRAGE TRADE ANALYSIS OF …
Stock Exchange(BSE)” by Dr M R Senapathy Mr Akash Dhoble Associate Professor (Finance) Siva Sivani Institute of Management. In this research the data is collected from a secondary data.
