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Author: Louis B. Mendelsohn
Publisher: Createspace Independent Publishing Platform
ISBN: 9781978216518
Category :
Languages : en
Pages : 168
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Book Description
This book explores the application of artificial intelligence - specifically deep machine learning neural networks - to intermarket analysis. It examines the role that intermarket analysis plays in assisting traders to identify trends and predict changes in trend directions and prices, in view of the unprecedented extent to which global financial markets have become interconnected and interdependent. This book will be of interest to both experienced traders and newcomers to the financial markets, who are inclined toward technical analysis and wish to benefit financially from the wealth creation opportunities in today's global financial markets.
Author: Louis B. Mendelsohn
Publisher: Createspace Independent Publishing Platform
ISBN: 9781978216518
Category :
Languages : en
Pages : 168
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Book Description
This book explores the application of artificial intelligence - specifically deep machine learning neural networks - to intermarket analysis. It examines the role that intermarket analysis plays in assisting traders to identify trends and predict changes in trend directions and prices, in view of the unprecedented extent to which global financial markets have become interconnected and interdependent. This book will be of interest to both experienced traders and newcomers to the financial markets, who are inclined toward technical analysis and wish to benefit financially from the wealth creation opportunities in today's global financial markets.
Author: Stefan Jansen
Publisher: Packt Publishing Ltd
ISBN: 1839216786
Category : Business & Economics
Languages : en
Pages : 822
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Book Description
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.
Author: Vito Lira
Publisher:
ISBN:
Category :
Languages : en
Pages : 147
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Book Description
A lot of trading education books teach a top down or a bottom up approach how about the right way approach and doing it the right way from day one. Mostly all of the trading books teach this business not only wrong but they teach it unrealistically, why would you want to learn this way and perhaps do something that could cause you to lose your money? I have written this book series in a way I feel the progression of information should be learned to be able to go into the live markets with confidence and no fear. The principles in How to use Artificial Intelligence to grow your Wealth can be used in any market on any time frame it does not matter. This is what makes the information so valuable and I give it to you right here in this book and in one place at one time, you’re welcome! How to use Artificial Intelligence to grow your Wealth is meant to expedite your learning curve which can sometimes be long and costly. Sure, you can Google this or that information however it would take you many years to learn what I am going to tell you in this book before you could invest any of your hard earned real money in the live markets and have a chance making real money. How to use Artificial Intelligence to grow your Wealth is meant to give you the basic information you need to make a decision as to whether to get into this business or not. If you are thinking that trading and investing in the live market with your hard earned real money is going to be easy and you are going to make millions of dollars doing it you are in for a rude and very expensive awakening. Don't get me wrong you can and will make some money every day in the live markets perhaps LOTS OF IT if you do what it says in How to use Artificial Intelligence to grow your Wealth. Nothing in the market is guaranteed, it's about putting all the probabilities of having a positive outcome as a market participant in your favor that helps you win, let’s start doing that right now in this book shall we!
Author: Tom Costello
Publisher: Https: //Www.Isbnservices.COM
ISBN: 9781637958476
Category :
Languages : en
Pages : 344
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Book Description
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.
Author: Henry E Parkins
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Unveil the Secrets of Profitable Trading with "AI in Stock Trading: The Secrets of Automated Investment Strategies"! Are you ready to unlock the power of artificial intelligence and revolutionize your approach to stock trading? Look no further than "AI in Stock Trading: The Secrets of Automated Investment Strategies." Dive into this comprehensive guide and embark on a transformative journey through the dynamic world of automated investment strategies. Discover the hidden secrets that top traders and hedge funds use to gain a competitive edge in today's fast-paced financial markets. From understanding the fundamentals of stock trading to mastering advanced AI algorithms, this book is your ultimate roadmap to success in the world of automated investing. Inside, you'll explore: Cutting-edge AI techniques: Learn how to harness the latest advancements in artificial intelligence, machine learning, and deep learning to develop powerful trading algorithms that outperform the competition. Data-driven strategies: Unlock the secrets of data preprocessing, feature engineering, and model optimization to extract actionable insights from financial data and make informed trading decisions. Practical applications: Dive into real-world case studies and examples that demonstrate how AI-driven trading systems can generate alpha, manage risk, and maximize returns in diverse market conditions. Ethical considerations: Navigate the ethical and regulatory challenges of AI in finance with confidence, ensuring compliance with industry standards and maintaining trust with investors. Whether you're a seasoned trader looking to enhance your strategies or a novice investor seeking to break into the world of automated trading, "AI in Stock Trading: The Secrets of Automated Investment Strategies" is your essential companion. Packed with actionable insights, expert advice, and proven techniques, this book is your key to unlocking the secrets of profitable trading in today's digital age. Don't miss out on this opportunity to transform your trading journey and take your investment strategies to new heights. Order your copy of "AI in Stock Trading: The Secrets of Automated Investment Strategies" today and embark on a path to financial success like never before!
Author: Murray A. Ruggiero
Publisher: John Wiley & Sons
ISBN: 9780471149200
Category : Business & Economics
Languages : en
Pages : 344
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Book Description
Ein Überblick über die aktuellsten Technologien zum Aufbau einer Handelsstrategie: neuronale Netzwerke, genetische Algorithmen, Expertensysteme, Fuzzy logic und statistische Mustererkennung. Gezeigt wird, wie diese neuen Methoden in klassische Analysenverfahren integriert werden können. Auch Erläuterungen zur Prüfung und Bewertung existierender Systeme kommen nicht zu kurz.
Author: Mark Broker
Publisher:
ISBN:
Category :
Languages : en
Pages : 420
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Book Description
Escape the rat race now! Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language and machine learning in 7 days? Do you want to increase your trading thanks to the artificial intelligence? If so, keep reading: this bundle book is for you! Today, thanks to computer programming and Python we can work with sophisticated machines that can study human behavior and identify underlying human behavioral patterns. Scientists can predict effectively what products and services consumers are interested in. You can also create various quantitative and algorithmic trading strategies using Python. Technology has become an asset in finance: financial institutions are now evolving to technology companies rather than only staying occupied with just the financial aspects. is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the astonishing and cutting-edge technology explained in this book. ARTIFICIAL INTELLIGENCE IN FINANCE will introduce you many selected tips and breaking down the basics of coding applied to finance. You will discover as a beginner the world of data science, machine learning and artificial intelligence with step-by-step guides that will guide you during the code-writing learning process. The following list is just a tiny fraction of what you will learn in this bundle STOCK MARKET INVESTING FOR BEGINNERS ✅ Options Trading Strategies that guarantee real results in all market conditions ✅ Top 7 endorsed indicators of a successful investment ✅ The Bull & Bear Game ✅ Learn about the 3 best charts patterns to fluctuations of stock prices OPTIONS TRADING FOR BEGINNERS ✅How Swing trading differs from Day trading in terms of risk-aversion ✅How your money should be invested and which trade is more profitable ✅Swing and Day trading proven indicators to learn investment timing ✅The secret DAY trading strategies leading to a gain of $ 9,000 per month and more than $100,000 per year. PYTHON FOR BEGINNERS ✅ Differences among programming languages: Vba, SQL, R, Python ✅ Introduction to some Python libraries like NumPy, Pandas, Matplotlib, ✅ Build machine learning models for trading ✅Describe the steps required to develop and test an ML-driven trading strategy. PYTHON CRASH COURSE ✅A Proven Method to Write your First Program in 7 Days ✅3 Common Mistakes to Avoid when You Start Coding ✅Importing Financial Data Into Python ✅7 Most effective Machine Learning Algorithms Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Approached properly artificial intelligence, can provide significant benefits for the firm, its customers and wider society. Today is the best day to start programming like a pro and help your trading online! For those trading with leverage, looking for step-by-step process to take a controlled approach and manage risk, "Artificial intelligence in finance" is the answer If you really wish to learn ARTIFICIAL INTELLIGENCE IN FINANCE and master its language, please click the BUY NOW button.
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95
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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: Laura Aubert
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In the dynamic realm of financial markets, the intersection of artificial intelligence (AI) and stock trading has forged a formidable alliance, reshaping the landscape of investment strategies and market dynamics. "AI and Stock Trading: A Powerful Partnership" delves into the transformative synergy between cutting-edge artificial intelligence technologies and the intricate world of stock trading. This compelling exploration begins by unraveling the multifaceted ways in which AI has revolutionized traditional stock trading practices. The advent of machine learning algorithms, neural networks, and advanced data analytics has empowered investors with unprecedented insights and decision-making capabilities. From predictive analytics to sentiment analysis, AI-driven tools navigate the vast sea of financial data, uncovering hidden patterns and trends that elude human perception. The narrative unfolds with a spotlight on the diverse applications of AI in stock trading, showcasing how these technologies are employed to optimize trading strategies, mitigate risks, and maximize returns. Through algorithmic trading and robo-advisors, AI seamlessly integrates with financial systems, executing trades at lightning speed and adapting in real-time to market fluctuations. The symbiotic relationship between AI and stock trading transcends mere automation, fostering a dynamic ecosystem where human intuition and machine intelligence converge for enhanced financial outcomes. As the discussion progresses, the intricacies of AI-driven decision-making in stock trading are dissected. The role of natural language processing (NLP) in interpreting financial news and social media sentiment analysis provides a nuanced understanding of the factors influencing market behavior. The narrative navigates the ethical considerations and challenges associated with AI in stock trading, exploring questions of accountability, transparency, and the potential impact on market stability. "AI and Stock Trading: A Powerful Partnership" doesn't shy away from examining the limitations and risks inherent in this fusion of technology and finance. While AI augments decision-making capabilities, the unpredictability of financial markets and the complexity of human behavior pose ongoing challenges. The narrative also explores the role of regulatory frameworks in ensuring responsible AI integration in stock trading and maintaining market integrity. In conclusion, this comprehensive exploration offers a panoramic view of the evolving landscape where artificial intelligence and stock trading intersect. From the algorithms powering high-frequency trading to the ethical considerations shaping the future of financial markets, this title provides an insightful journey into the heart of a partnership that is reshaping the very foundations of stock trading. Investors, technologists, and financial enthusiasts alike will find "AI and Stock Trading: A Powerful Partnership" to be an indispensable guide to understanding the present and envisioning the future of finance.
Author: Ondrej Martinsky
Publisher: Harriman House Limited
ISBN: 1906659532
Category : Business & Economics
Languages : en
Pages : 212
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Book Description
This work deals with the issue of problematic market price prediction in the context of crowd behavior. "Intelligent Trading Systems" describes technical analysis methods used to predict price movements.
