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Supercharged Trading with Artificial Intelligence

Author: Louis Mendelsohn

Publisher:

Published: 2018-09-19

Total Pages: 180

ISBN-13: 9781725871311

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.

Profitable Trading with Artificial Intelligence

Author: Louis B. Mendelsohn

Publisher: Createspace Independent Publishing Platform

Published: 2017-10-18

Total Pages: 168

ISBN-13: 9781978216518

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Dark Pools

Author: Scott Patterson

Publisher: Crown Currency

Published: 2012-06-12

Total Pages: 386

ISBN-13: 0307887197

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A news-breaking account of the global stock market's subterranean battles, Dark Pools portrays the rise of the "bots"--artificially intelligent systems that execute trades in milliseconds and use the cover of darkness to out-maneuver the humans who've created them. In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next.

Machine Trading

Author: Ernest P. Chan

Publisher: John Wiley & Sons

Published: 2017-02-06

Total Pages: 277

ISBN-13: 1119219604

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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.

AI in the Financial Markets

Author: Federico Cecconi

Publisher: Springer Nature

Published: 2023-03-24

Total Pages: 140

ISBN-13: 3031265181

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This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds). The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres.

Intelligent Trading Systems

Author: Ondrej Martinsky

Publisher: Harriman House Limited

Published: 2010-02-15

Total Pages: 212

ISBN-13: 1906659532

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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.

AI-Powered Bitcoin Trading

Author: Eoghan Leahy

Publisher: John Wiley & Sons

Published: 2024-05-14

Total Pages: 182

ISBN-13: 1119661161

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Survive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems. The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems. Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization. Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBotTM combines human insight with AI-driven optimization to build profit table trend trading strategies.

How to use Artificial Intelligence to grow your Wealth

Author: Vito Lira

Publisher:

Published: 2018-01-05

Total Pages: 147

ISBN-13:

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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!

Artificial Intelligence in Finance

Author: Yves Hilpisch

Publisher: O'Reilly Media

Published: 2020-10-14

Total Pages: 477

ISBN-13: 1492055409

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The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

Virtual Trading

Author: Robert Arnold Klein

Publisher: Irwin Professional Publishing

Published: 1995

Total Pages: 392

ISBN-13:

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In plain language, Virtual Trading, shows you how to proceed from data collection to system development to actual trading. For traders who want to stay on the cutting edge of market technology, Virtual Trading is a must read. Featuring contributions from the leading experts in the field, Virtual Trading provides in-depth information on every important aspect of artificial intelligence in trading. Highlights include: Synergistic market analysis using neural networks by Lou Mendelsohn; Developing a market-timing system using genetic algorithms by Casimir Klimasauskas; Neural networkds and stock market valuation by John Keal; Applying chaos theory to a neural network by Joseph Shepard; Developing a trading system that uses Al by Mark Jurik; Neural network techniques for time series analysis by Peter Davies.