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Author: Louis Mendelsohn
Publisher:
ISBN: 9781725871311
Category :
Languages : en
Pages : 180
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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 Mendelsohn
Publisher:
ISBN: 9781725871311
Category :
Languages : en
Pages : 180
Get Book Here
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: Ernest P. Chan
Publisher: John Wiley & Sons
ISBN: 1119219604
Category : Business & Economics
Languages : en
Pages : 277
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Book Description
Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions.
Author: Marcel Souza
Publisher: Gavea
ISBN:
Category : Business & Economics
Languages : pt-BR
Pages : 99
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Book Description
In today's rapidly evolving financial markets, artificial intelligence (AI) is becoming an indispensable tool for traders looking to stay ahead of the curve. "Trading Strategies with Artificial Intelligence" is an essential guide for both beginner and advanced traders who are eager to explore the power of AI to enhance their trading performance. This book demystifies complex AI concepts and demonstrates how they can be applied to create profitable trading strategies in a variety of market conditions. Readers will learn how AI algorithms, such as machine learning, deep learning, and neural networks, are transforming traditional trading approaches. Through detailed explanations and real-world case studies, this book offers a comprehensive understanding of how AI is used to analyze vast amounts of market data, detect patterns, and make precise predictions that human traders alone cannot achieve. Whether you're trading stocks, forex, or cryptocurrencies, these AI-driven strategies can optimize your decisions and increase your profitability. The book provides practical examples of AI-powered trading systems, complete with step-by-step instructions for developing your own algorithms. With insights into backtesting, risk management, and automated execution, readers will gain hands-on experience in building and deploying AI trading models. The strategies outlined in this book are designed to adapt to different market conditions, ensuring traders remain competitive even in the most volatile environments. "Trading Strategies with Artificial Intelligence" is more than just a technical manual; it explores the future of trading and the ethical considerations of using AI in financial markets. From regulatory challenges to the impact on market efficiency, this book encourages traders to think critically about the implications of AI-driven trading. If you're ready to take your trading to the next level and harness the full potential of AI, this book is your roadmap to success.
Author: Jeffery Long
Publisher: Jeffery William Long
ISBN:
Category : Computers
Languages : en
Pages : 112
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Book Description
Mastering AI-Powered Trading Bots for Options Analyzing Large Amounts of Data Faster Than Humans Can Read AI can help traders make more informed decisions by analyzing large amounts of data and identifying patterns that humans may miss. Some ways AI can help in trading options include: 1. Predictive analytics: AI algorithms can analyze historical market data and predict future price movements, helping traders make more accurate decisions on which options to buy. 2. Sentiment analysis: AI can analyze news articles, social media posts, and other sources of information to gauge market sentiment and identify potential trading opportunities. 3. Risk management: AI can help traders manage risk by analyzing their portfolio and identifying potential risks and opportunities for hedging. 4. Automation: AI can automate the trading process, executing trades based on predetermined criteria and removing human emotion from the decision-making process. 5. Machine learning: AI can continuously learn from past trading data and optimize trading strategies over time, adapting to changing market conditions and improving performance. Overall, AI can help traders make more informed decisions, reduce risk, and potentially increase returns when trading options. Chapter 1: Introduction to AI and Option Trading Welcome to the exciting world of AI-powered trading bots for executing options trades. In this subchapter, we will explore the fundamentals of AI and option trading, providing you with a solid foundation to begin your journey into the world of trading stocks and options. Whether you are a novice trader looking to learn the basics or an experienced investor seeking to leverage the power of AI technology in your trading strategies, this subchapter is designed to help you understand the key concepts and principles that drive success in the world of option trading. First and foremost, it is important to understand what AI is and how it is revolutionizing the way we approach financial markets. Artificial intelligence, or AI, refers to the simulation of human intelligence processes by machines, particularly computer systems. In the context of option trading, AI can be used to analyze vast amounts of data, identify patterns and trends, and make informed decisions about when to buy or sell options. By harnessing the power of AI technology, traders can gain a competitive edge in the market and increase their chances of success.
Author: Scott Patterson
Publisher: Crown Pub
ISBN: 0307887170
Category : Business & Economics
Languages : en
Pages : 370
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Book Description
Evaluates the cost and consequences of high-speed trading, arguing that the development of automatic, super-intelligent trading machines is eliminating necessary human interests and compromising regulation measures.
Author: Jason Test
Publisher:
ISBN: 9789918608058
Category : Computers
Languages : en
Pages : 422
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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: 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.
Author: Chan
Publisher:
ISBN: 9781394266975
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Author: Marcel Souza
Publisher: Gavea
ISBN:
Category : Business & Economics
Languages : pt-BR
Pages : 109
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Book Description
Unlock the future of finance with Algorithmic Trading and Investment Automation, your comprehensive guide to mastering the world of automated trading. This book introduces you to the cutting-edge techniques used by top traders and investors to develop algorithmic strategies, offering a deep dive into the technology that powers today’s financial markets. Whether you're a beginner eager to learn the basics or an experienced trader looking to fine-tune your systems, this guide provides invaluable insights into creating, testing, and optimizing algorithms that maximize returns while minimizing risk. In this book, you'll explore a range of algorithmic strategies, from simple moving averages to more complex machine learning models. Each chapter is designed to build your knowledge step by step, offering practical examples and real-world case studies. You'll learn how to structure algorithms for various markets—stocks, cryptocurrencies, forex—and understand how to analyze large datasets for profitable patterns. Additionally, we explore the role of risk management in automated systems, ensuring your trading strategies remain resilient in volatile markets. One of the key features of Algorithmic Trading and Investment Automation is its focus on real-world application. With hands-on exercises and coding examples in popular programming languages like Python, this book helps you transform theoretical knowledge into practical trading systems. You’ll also gain insights into backtesting and simulation techniques, so you can test your strategies in a safe environment before going live with real capital. The book ensures that your journey into algorithmic trading is well-supported by the necessary tools and skills. Finally, this book highlights the future trends in algorithmic trading, including AI-driven decision-making, sentiment analysis, and advanced data analytics. Algorithmic Trading and Investment Automation is not just a book but a roadmap to becoming a sophisticated trader in the ever-evolving financial landscape. Whether you're looking to automate your trades or invest in AI-driven strategies, this book will give you the knowledge and confidence to stay ahead of the curve in the world of finance.
