Algorithmic Trading A Comprehensive Beginners Guide To Learn Algorithmic Training From A Z

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Algorithmic Trading: A Comprehensive Beginner's Guide to Learn Algorithmic Training from A-Z

Author : Stewart Gray
Publisher : Independently Published
ISBN 13 : 9781091263970
Total Pages : 152 pages
Book Rating : 4.2/5 (639 download)

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Book Synopsis Algorithmic Trading: A Comprehensive Beginner's Guide to Learn Algorithmic Training from A-Z by : Stewart Gray

Download or read book Algorithmic Trading: A Comprehensive Beginner's Guide to Learn Algorithmic Training from A-Z written by Stewart Gray and published by Independently Published. This book was released on 2019-03-22 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Trading is a term known by many names - automated trading system, Black box trading, algo-trading, and quantitative trading . It is a system of trading that makes use of computers pre-programmed with specific trading instructions, also known as algorithm, for these computers to carry out in response to the stock market.Trade processes, such as buying and selling bonds, futures, and stocks, are therefore carried out by these computers, allowing the traders utilizing them to buy and sell shares in huge amounts and in speeds that is supposedly impossible for humans. The algorithms that these computers run on are based from historical output out of a encoded strategy once simulated on a set of historical data .A trader would normally call a broker or participate in the stock exchange pit in order buy and sell financial instruments - for example, Trader A follows a principle of buying 100 shares of a stock of certain companies whenever he notices that within 40-60 days such companies rose higher than their average past trends of let us say, 150 to 200 days.To engage in algorithmic trading, however, requires more than grabbing from an IT firm a software for one to engage in algorithmic trading - one cannot simply jump into a plane to Somewhere without even knowing where that Somewhere is.It is for this reason this book is written - to make sure that anybody who picks this book, including beginners in the field of algo-trading and those who know near to zero and are still grasping terminologies, fully understand what they are in for.This book, however, goes beyond this standard flow - each chapter ends with a summary, and at the same time readers will get to read snippets of fact and certain case studies. These glimpses to various aspects and practical applications of algorithmic trading will hopefully aid them to fully grasp the entirety of the phenomenon that is algorithmic trading.

Algorithmic Trading: : Comprehensive Beginners Guide to Making Money Every Month Algo Trading!

Author : Jordan Wayne
Publisher : Independently Published
ISBN 13 : 9781720272694
Total Pages : 58 pages
Book Rating : 4.2/5 (726 download)

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Book Synopsis Algorithmic Trading: : Comprehensive Beginners Guide to Making Money Every Month Algo Trading! by : Jordan Wayne

Download or read book Algorithmic Trading: : Comprehensive Beginners Guide to Making Money Every Month Algo Trading! written by Jordan Wayne and published by Independently Published. This book was released on 2018-09-13 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: **Buy the Paperback version of this book, and get the Kindle eBook version included for FREE** How would you like to learn Powerful Strategies that will Guarantee Instant Results in your Algorithmic Trading? Well you have come to the right place. Getting started in investing can be difficult. You have to learn how to read the market, pick out a good strategy, and even know the best times to enter and exit the market. If you are not able to watch the market all the time, you may worry that you will miss out on a big trade. Algorithmic trading can make all the difference in the way that you do trading, even as a beginner. The basic idea behind algorithmic trading is that you will let a computer program do the trading for you. This can take out some of the risks, increase your profits, and make it so that you don

Algorithmic Trading

Author : Alex Johnson
Publisher :
ISBN 13 : 9781692811853
Total Pages : 132 pages
Book Rating : 4.8/5 (118 download)

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Book Synopsis Algorithmic Trading by : Alex Johnson

Download or read book Algorithmic Trading written by Alex Johnson and published by . This book was released on 2019-09-12 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is it possible though? Not just to make millions, but also make millions on autopilot? Well, no doubt, if you're reading this book, then you know a fair bit about trading. You know you've got to either buy or sell stocks, or currency pairs, or whatever it is you choose to trade, and if it goes your way, then you've made a nice but of change. Right? How does it get better than that? How about the fact that all you need is the internet, and/or your cell phone?Well, what if you could make all the money you need to, without even doing a thing? Is that even possible? Short answer, yes. We're talking about algorithmic trading. Spoiler alert! In case you missed the title, because the dog happened to the book cover before you could read it, that's what we're going to cover here.Ever since the creation of trading robots and experts, the financial world has never been the same. Algorithmic trading is the future. And the future is here. Where algorithmic trading used to be a thing for just the big boys - you know, the hedge funds - now, it's for everyone. It's my job in this book to show you just how you too can benefit from algo trading!

Algorithmic Trading

Author : Sophia Foster
Publisher :
ISBN 13 : 9781801567640
Total Pages : 264 pages
Book Rating : 4.5/5 (676 download)

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Book Synopsis Algorithmic Trading by : Sophia Foster

Download or read book Algorithmic Trading written by Sophia Foster and published by . This book was released on 2021-05-24 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages.

Algorithmic Trading

Author : James Johnson
Publisher :
ISBN 13 : 9781080981106
Total Pages : 154 pages
Book Rating : 4.9/5 (811 download)

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Book Synopsis Algorithmic Trading by : James Johnson

Download or read book Algorithmic Trading written by James Johnson and published by . This book was released on 2019-07-17 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Buy the Paperback Version of this Book and get the Kindle Book version for FREE" Forget the age-old myths that you will lose money on trading because that is just what it is - a myth. With "Algorithmic trading", you have all the tools to make a profit from many of the trades that you place. Whether you are a funds manager or a group of traders, you can finally earn the profits you only dream of by embracing this strategy. However, before you can go ahead and know what it offers, you first need to understand what the concept is all about. This guide to algorithmic trading teaches you: What algorithmic trading is, and what it is not. We go ahead to differentiate the strategy from other types that you will come across so that you have a clear idea of what we are talking about. The history of algorithmic trading. Before you can appreciate the future, you need to understand the past. We look at the major points in history that made algorithmic trading what it is today. A peek into the statistics that have dominated the industry for various years now. This inspires you to understand that the trading industry is popular and the algorithmic trading strategies are in use by many people. What makes a winning trader in this market. The skills you need and even tell you what type of mindset you require to stand out. Backtesting and what it offers you as the trader. The various types of backtesting and why you need to perform it as a trader. The process of coming up with the perfect strategy so that you enjoy the gains. There are various things that make this book a great addition to your trading arsenal. The examples are derived from various areas of the market to give you a better understanding. Scroll to the top of the page and click the "buy now" button!

MACHINE LEARNING FOR ALGORITHMIC TRADING

Author : Jason Test
Publisher :
ISBN 13 : 9789918608003
Total Pages : 424 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis MACHINE LEARNING FOR ALGORITHMIC TRADING by : Jason Test

Download or read book MACHINE LEARNING FOR ALGORITHMIC TRADING written by Jason Test and published by . This book was released on 2020-11-20 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language 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. It is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the cutting-edge technology explained in this book. MACHINE LEARNING FOR ALGORITHM TRADING 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 PYTHON FOR BEGINNERS ✅ Differences among programming languages: Vba, SQL, R, Python ✅ 3 reasons why Python is fundamental for Data Science ✅ Introduction to some Python libraries like NumPy, Pandas, Matplotlib, ✅ 3 step system why Python is fundamental for Data Science ✅Describe the steps required to develop and test an ML-driven trading strategy. PYTHON DATA SCIENCE ✅ A Proven Method to Write your First Program in 7 Days ✅ 3 Common Mistakes to Avoid when You Start Coding ✅ Fit Python Data Analysis to your business ✅ 7 Most effective Machine Learning Algorithms ✅ Describe the methods used to optimize an ML-driven trading strategy. OPTIONS TRADING 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 DAY AND SWING TRADING ✅ 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. Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Today is the best day to start programming like a pro. For those trading with leverage, looking for a way to take a controlled approach and manage risk, a properly designed trading system is the answer If you really wish to learn MACHINE LEARNING FOR ALGORITHMIC TRADING and master its language, please click the BUY NOW button.

Algorithmic Trading

Author : Ernie Chan
Publisher : John Wiley & Sons
ISBN 13 : 1118460146
Total Pages : 230 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Algorithmic Trading by : Ernie Chan

Download or read book Algorithmic Trading written by Ernie Chan and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Algorithmic TRADING “Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.” —DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management “Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.” —ROGER HUNTER, Mathematician and Algorithmic Trader

Quantitative Trading

Author : Ernie Chan
Publisher : Wiley
ISBN 13 : 9780470284889
Total Pages : 0 pages
Book Rating : 4.2/5 (848 download)

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Book Synopsis Quantitative Trading by : Ernie Chan

Download or read book Quantitative Trading written by Ernie Chan and published by Wiley. This book was released on 2008-11-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.

Trading Strategies and Algorithmic Trading

Author : Benjamin Ray Bears
Publisher : Benjamin Ray Bears
ISBN 13 : 9781803030081
Total Pages : 112 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Trading Strategies and Algorithmic Trading by : Benjamin Ray Bears

Download or read book Trading Strategies and Algorithmic Trading written by Benjamin Ray Bears and published by Benjamin Ray Bears. This book was released on 2021-06-07 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take advantage of 55% off your library! Now a $26.95 instead of $36.95 A FULL IMMERSION GUIDE FOR BEGINNERS

Advances in Financial Machine Learning

Author : Marcos Lopez de Prado
Publisher : John Wiley & Sons
ISBN 13 : 1119482119
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Advances in Financial Machine Learning by : Marcos Lopez de Prado

Download or read book Advances in Financial Machine Learning written by Marcos Lopez de Prado and published by John Wiley & Sons. This book was released on 2018-01-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular 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.

Python for Algorithmic Trading

Author : Yves Hilpisch
Publisher : O'Reilly Media
ISBN 13 : 1492053325
Total Pages : 380 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for Algorithmic Trading by : Yves Hilpisch

Download or read book Python for Algorithmic Trading written by Yves Hilpisch and published by O'Reilly Media. This book was released on 2020-11-12 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Machine Learning for Algorithmic Trading

Author : Stefan Jansen
Publisher : Packt Publishing Ltd
ISBN 13 : 1839216786
Total Pages : 822 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis Machine Learning for Algorithmic Trading by : Stefan Jansen

Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Options Trading Strategies: 2 Books in 1 Including: Options Trading for Beginners: The A-Z Guide to Making a Steady Monthly Income Trading Options

Download Options Trading Strategies: 2 Books in 1 Including: Options Trading for Beginners: The A-Z Guide to Making a Steady Monthly Income Trading Options PDF Online Free

Author : Jordan Wayne
Publisher : Independently Published
ISBN 13 : 9781728935393
Total Pages : 132 pages
Book Rating : 4.9/5 (353 download)

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Book Synopsis Options Trading Strategies: 2 Books in 1 Including: Options Trading for Beginners: The A-Z Guide to Making a Steady Monthly Income Trading Options by : Jordan Wayne

Download or read book Options Trading Strategies: 2 Books in 1 Including: Options Trading for Beginners: The A-Z Guide to Making a Steady Monthly Income Trading Options written by Jordan Wayne and published by Independently Published. This book was released on 2018-10-18 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: **Buy the Paperback version of this book, and get the Kindle eBook version included for FREE**WARNING!! Real Results and a Steady Monthly Income will accompany the Reading of this Book! If you

Machine Trading

Author : Ernest P. Chan
Publisher : John Wiley & Sons
ISBN 13 : 1119219604
Total Pages : 277 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Machine Trading by : Ernest P. Chan

Download or read book Machine Trading written by Ernest P. Chan and published by John Wiley & Sons. This book was released on 2017-02-06 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction To Algo Trading

Author : Kevin Davey
Publisher : Independently Published
ISBN 13 : 9781981038350
Total Pages : 85 pages
Book Rating : 4.0/5 (383 download)

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Book Synopsis Introduction To Algo Trading by : Kevin Davey

Download or read book Introduction To Algo Trading written by Kevin Davey and published by Independently Published. This book was released on 2018-05-08 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you interested in algorithmic trading, but unsure how to get started? Join best selling author and champion futures trader Kevin J. Davey as he introduces you to the world of retail algorithmic trading. In this book, you will find out if algo trading is for you, while learning the advantages and disadvantages involved.. You will also learn how to start algo trading on your own, how to select a trading platform and what is needed to develop simple trading strategies. Finally you will learn important tips for successful algo trading, along with a roadmap of next steps to take.

High-Frequency Trading

Author : Irene Aldridge
Publisher : John Wiley and Sons
ISBN 13 : 0470579773
Total Pages : 258 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis High-Frequency Trading by : Irene Aldridge

Download or read book High-Frequency Trading written by Irene Aldridge and published by John Wiley and Sons. This book was released on 2009-12-22 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to the fast and ever-changing world of high-frequency, algorithmic trading Financial markets are undergoing rapid innovation due to the continuing proliferation of computer power and algorithms. These developments have created a new investment discipline called high-frequency trading. This book covers all aspects of high-frequency trading, from the business case and formulation of ideas through the development of trading systems to application of capital and subsequent performance evaluation. It also includes numerous quantitative trading strategies, with market microstructure, event arbitrage, and deviations arbitrage discussed in great detail. Contains the tools and techniques needed for building a high-frequency trading system Details the post-trade analysis process, including key performance benchmarks and trade quality evaluation Written by well-known industry professional Irene Aldridge Interest in high-frequency trading has exploded over the past year. This book has what you need to gain a better understanding of how it works and what it takes to apply this approach to your trading endeavors.

Master Algorithmic Trading

Author : Corey Alexander
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (834 download)

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Book Synopsis Master Algorithmic Trading by : Corey Alexander

Download or read book Master Algorithmic Trading written by Corey Alexander and published by Independently Published. This book was released on 2024-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the secrets of algorithmic trading with our comprehensive guidebook designed for traders of all levels - from novices to seasoned experts. Whether you're just starting or looking to refine your strategies, this book provides invaluable insights and techniques to enhance your trading prowess. Dive into the world of algorithmic trading and discover how to leverage cutting-edge strategies to optimize your investments. With clear explanations and practical examples, you'll learn how algorithms can analyze market trends, execute trades, and maximize profits with precision and efficiency. Explore a wide range of topics, including: Fundamentals of algorithmic trading Building and optimizing trading algorithms Implementing risk management strategies Utilizing technical analysis and indicators Backtesting and optimizing trading strategies Understanding market dynamics and trends Advanced algorithmic trading techniques Whether you're a beginner seeking to grasp the basics or an experienced trader looking to fine-tune your strategies, this book equips you with the knowledge and tools needed to succeed in today's dynamic markets. Take your trading skills to the next level and achieve consistent profitability with our comprehensive guide to algorithmic trading. Bullet Points: EXPLORE profitable algorithmic trading strategies. MASTER building and optimizing trading algorithms. IMPLEMENT effective risk management techniques. UTILIZE advanced technical analysis tools. BACKTEST strategies for optimal performance. UNDERSTAND market dynamics and trends. ENHANCE your trading skills with expert insights.