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Author: Sergey Izraylevich Ph.D.
Publisher: FT Press
ISBN: 0133095282
Category : Business & Economics
Languages : en
Pages : 984
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Book Description
A brand new collection of state-of-the-art option trading techniques, from world-renowned experts Sergey Izraylevich and Vadim Tsudikman …now in a convenient e-format, at a great price! Leading-edge option trading techniques for serious investors, traders, and portfolio managers Writing for serious investors, traders, hedge fund managers, and quants, pioneering option experts Sergey Izraylevich and Vadim Tsudikman introduce important new techniques for maximizing option profits, controlling risk, and consistently identifying trades optimized for your goals and strategies.First, in Systematic Options Trading: Evaluating, Analyzing, and Profiting from Mispriced Option Opportunities, Izraylevich and Tsudikmanintroducereliable new ways to identify your best option combinations, underlying assets, and strategies. They treat the option market as a whole: an unlimited set of trading variants composed of all option combinations that can be constructed at any specific moment (using all possible strategies and underlying assets). Their powerful system permits thorough analysis and comparison of many option combinations in terms of both expected profitability and potential risk. It formalizes and classifies over a dozen criteria intended to select preferable trading alternatives from a vast quantity of potential opportunities, showing how to apply multiple valuation criteria concurrently to systematically identify subtle price distortions, and consistently select trades that meet optimal parameters. Next, in Automated Option Trading: Create, Optimize, and Test Automated Trading Systems, they present thefirst complete step-by-step guide to creating profitable automated systems for the disciplined realization of well-defined, formalized, and tested option strategies. Every facet of their approach is optimized for options, including strategy development, capital allocation, risk management, performance measurement, back-testing, walk-forward analysis; and trade execution. Their system incorporates continuous valuation, structuring and long-term management of investment portfolios (not just individual instruments), and can systematically handle option combinations related to different underlying assets — making it possible to finally automate options trading at the portfolio level. From world-renowned option trading experts Sergey Izraylevich, Ph.D. and Vadim Tsudikman
Author: Sergey Izraylevich Ph.D.
Publisher: FT Press
ISBN: 0133095282
Category : Business & Economics
Languages : en
Pages : 984
Get Book Here
Book Description
A brand new collection of state-of-the-art option trading techniques, from world-renowned experts Sergey Izraylevich and Vadim Tsudikman …now in a convenient e-format, at a great price! Leading-edge option trading techniques for serious investors, traders, and portfolio managers Writing for serious investors, traders, hedge fund managers, and quants, pioneering option experts Sergey Izraylevich and Vadim Tsudikman introduce important new techniques for maximizing option profits, controlling risk, and consistently identifying trades optimized for your goals and strategies.First, in Systematic Options Trading: Evaluating, Analyzing, and Profiting from Mispriced Option Opportunities, Izraylevich and Tsudikmanintroducereliable new ways to identify your best option combinations, underlying assets, and strategies. They treat the option market as a whole: an unlimited set of trading variants composed of all option combinations that can be constructed at any specific moment (using all possible strategies and underlying assets). Their powerful system permits thorough analysis and comparison of many option combinations in terms of both expected profitability and potential risk. It formalizes and classifies over a dozen criteria intended to select preferable trading alternatives from a vast quantity of potential opportunities, showing how to apply multiple valuation criteria concurrently to systematically identify subtle price distortions, and consistently select trades that meet optimal parameters. Next, in Automated Option Trading: Create, Optimize, and Test Automated Trading Systems, they present thefirst complete step-by-step guide to creating profitable automated systems for the disciplined realization of well-defined, formalized, and tested option strategies. Every facet of their approach is optimized for options, including strategy development, capital allocation, risk management, performance measurement, back-testing, walk-forward analysis; and trade execution. Their system incorporates continuous valuation, structuring and long-term management of investment portfolios (not just individual instruments), and can systematically handle option combinations related to different underlying assets — making it possible to finally automate options trading at the portfolio level. From world-renowned option trading experts Sergey Izraylevich, Ph.D. and Vadim Tsudikman
Author: Sergey Izraylevich Ph.D.
Publisher: FT Press
ISBN: 0132491907
Category : Business & Economics
Languages : en
Pages : 302
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Book Description
The first and only book of its kind, Automated Options Trading describes a comprehensive, step-by-step process for creating automated options trading systems. Using the authors’ techniques, sophisticated traders can create powerful frameworks for the consistent, disciplined realization of well-defined, formalized, and carefully-tested trading strategies based on their specific requirements. Unlike other books on automated trading, this book focuses specifically on the unique requirements of options, reflecting philosophy, logic, quantitative tools, and valuation procedures that are completely different from those used in conventional automated trading algorithms. Every facet of the authors’ approach is optimized for options, including strategy development and optimization; capital allocation; risk management; performance measurement; back-testing and walk-forward analysis; and trade execution. The authors’ system reflects a continuous process of valuation, structuring and long-term management of investment portfolios (not just individual instruments), introducing systematic approaches for handling portfolios containing option combinations related to different underlying assets. With these techniques, it is finally possible to effectively automate options trading at the portfolio level. This book will be an indispensable resource for serious options traders working individually, in hedge funds, or in other institutions.
Author: Vadim Tsudikman
Publisher: FT Press
ISBN: 0131388339
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
Sophisticated options traders need systematic, reliable approaches for identifying the best option combinations, underlying assets, and strategies. This book makes these approaches available for the first time. Leading-edge traders and researchers Sergey Izraylevich and Vadim Tsudikman treat the option market as a whole: an unlimited set of trading variants composed of all option combinations that can be constructed at any specific time moment (using all possible strategies and underlying assets). They introduce a system that permits thorough analysis and comparison of many option combinations in terms of both expected profitability and potential risk. For the first time, they formalize and classify more than a dozen criteria intended to select preferable trading alternatives from a vast quantity of potential opportunities, and show how to apply multiple valuation criteria concurrently to select the best possible trades. By applying these principles consistently, traders can systematically identify subtle price distortions using proven statistical parameters. They can gain a clear and consistent advantage over competing traders, transforming option trading into a continuous process of profit generation with tightly controllable parameters of risk and profitability.
Author: Robert Carver
Publisher: Harriman House Limited
ISBN: 085719500X
Category : Business & Economics
Languages : en
Pages : 247
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Book Description
This is not just another book with yet another trading system. This is a complete guide to developing your own systems to help you make and execute trading and investing decisions. It is intended for everyone who wishes to systematise their financial decision making, either completely or to some degree. Author Robert Carver draws on financial theory, his experience managing systematic hedge fund strategies and his own in-depth research to explain why systematic trading makes sense and demonstrates how it can be done safely and profitably. Every aspect, from creating trading rules to position sizing, is thoroughly explained. The framework described here can be used with all assets, including equities, bonds, forex and commodities. There is no magic formula that will guarantee success, but cutting out simple mistakes will improve your performance. You'll learn how to avoid common pitfalls such as over-complicating your strategy, being too optimistic about likely returns, taking excessive risks and trading too frequently. Important features include: - The theory behind systematic trading: why and when it works, and when it doesn't. - Simple and effective ways to design effective strategies. - A complete position management framework which can be adapted for your needs. - How fully systematic traders can create or adapt trading rules to forecast prices. - Making discretionary trading decisions within a systematic framework for position management. - Why traditional long only investors should use systems to ensure proper diversification, and avoid costly and unnecessary portfolio churn. - Adapting strategies depending on the cost of trading and how much capital is being used. - Practical examples from UK, US and international markets showing how the framework can be used. Systematic Trading is detailed, comprehensive and full of practical advice. It provides a unique new approach to system development and a must for anyone considering using systems to make some, or all, of their investment decisions.
Author: Sergey Izraylevich
Publisher:
ISBN:
Category : Electronic book
Languages : en
Pages : 593
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Book Description
Author: Eugene A. Durenard
Publisher: John Wiley & Sons
ISBN: 1118419294
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
An insider's view of how to develop and operate an automated proprietary trading network Reflecting author Eugene Durenard's extensive experience in this field, Professional Automated Trading offers valuable insights you won't find anywhere else. It reveals how a series of concepts and techniques coming from current research in artificial life and modern control theory can be applied to the design of effective trading systems that outperform the majority of published trading systems. It also skillfully provides you with essential information on the practical coding and implementation of a scalable systematic trading architecture. Based on years of practical experience in building successful research and infrastructure processes for purpose of trading at several frequencies, this book is designed to be a comprehensive guide for understanding the theory of design and the practice of implementation of an automated systematic trading process at an institutional scale. Discusses several classical strategies and covers the design of efficient simulation engines for back and forward testing Provides insights on effectively implementing a series of distributed processes that should form the core of a robust and fault-tolerant automated systematic trading architecture Addresses trade execution optimization by studying market-pressure models and minimization of costs via applications of execution algorithms Introduces a series of novel concepts from artificial life and modern control theory that enhance robustness of the systematic decision making—focusing on various aspects of adaptation and dynamic optimal model choice Engaging and informative, Proprietary Automated Trading covers the most important aspects of this endeavor and will put you in a better position to excel at it.
Author: Laurens Bensdorp
Publisher: Lioncrest Publishing
ISBN: 9781544506012
Category : Business & Economics
Languages : en
Pages : 206
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Book Description
Consistent, benchmark-beating growth, combined with reduced risk, are the Holy Grail of traders everywhere. Laurens Bensdorp has been achieving both for more than a decade. By combining multiple quantitative trading systems that perform well in different types of markets--bull, bear, or sideways--his overall systematized and automated system delivers superlative results regardless of overall market behavior. In his second book, Automated Stock Trading Systems, Bensdorp details a non-correlated, multi-system approach you can understand and build to suit yourself. Using historical price action to develop statistical edges, his combined, automated systems have been shown to deliver simulated consistent high double-digit returns with very low draw downs for the last 24 years, no matter what the market indices have done. By following his approach, traders can achieve reliable, superlative returns without excessive risk.
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: Ernie Chan
Publisher: John Wiley & Sons
ISBN: 1118460146
Category : Business & Economics
Languages : en
Pages : 230
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Book Description
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
Author: Andreas F. Clenow
Publisher: John Wiley & Sons
ISBN: 111841084X
Category : Business & Economics
Languages : en
Pages : 309
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Book Description
During bull and bear markets, there is a group of hedge funds and professional traders which have been consistently outperforming traditional investment strategies for the past 30 odd years. They have shown remarkable uncorrelated performance and in the great bear market of 2008 they had record gains. These traders are highly secretive about their proprietary trading algorithms and often employ top PhDs in their research teams. Yet, it is possible to replicate their trading performance with relatively simplistic models. These traders are trend following cross asset futures managers, also known as CTAs. Many books are written about them but none explain their strategies in such detail as to enable the reader to emulate their success and create their own trend following trading business, until now. Following the Trend explains why most hopefuls fail by focusing on the wrong things, such as buy and sell rules, and teaches the truly important parts of trend following. Trading everything from the Nasdaq index and T-bills to currency crosses, platinum and live hogs, there are large gains to be made regardless of the state of the economy or stock markets. By analysing year by year trend following performance and attribution the reader will be able to build a deep understanding of what it is like to trade futures in large scale and where the real problems and opportunities lay. Written by experienced hedge fund manager Andreas Clenow, this book provides a comprehensive insight into the strategies behind the booming trend following futures industry from the perspective of a market participant. The strategies behind the success of this industry are explained in great detail, including complete trading rules and instructions for how to replicate the performance of successful hedge funds. You are in for a potentially highly profitable roller coaster ride with this hard and honest look at the positive as well as the negative sides of trend following.
