100 Dias De Backtesting

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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.

The Ultimate Trading Guide

Author : John R. Hill
Publisher : Wiley
ISBN 13 : 9780471381358
Total Pages : 0 pages
Book Rating : 4.3/5 (813 download)

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Book Synopsis The Ultimate Trading Guide by : John R. Hill

Download or read book The Ultimate Trading Guide written by John R. Hill and published by Wiley. This book was released on 2000-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Spot Short-Term Trends, Trading Systems That Work, Money Management Techniques, and Patterns for Profit Become the ultimate trader! The Ultimate Trading Guide is your chance to get what every trader wants, but few have: the know-how to develop and correctly use a logic-based, reliable, and profitable methodology for successful buying and selling-now. In this complete tutorial, one of today's most respected analysts and his partners provide you with all you need to know to develop an original, computerized system that works for you. "Can you make money trading the markets with a system? You bet, and this is the book that shows how it's done, based on decades of research and actual trading."-Larry Williams, Author, Day Trade Futures Online and Long-Term Secrets to Short-Term Trading "Traders at all levels of experience will find a treasure chest of knowledge and guidance in The Ultimate Trading Guide. Advice from these expert authors, gained over decades of trading, research, and study of markets and systems, is virtually priceless. This book receives my highest recommendation."-Edward D. Dobson, President, Traders Press, Inc. "John Hill, George Pruitt, and Lundy Hill are the acknowledged masters in the design and development of mechanical trading systems. So it's no surprise The Ultimate Trading Guide gets my highest recommendation for those interested in the mechanized trading of stocks and futures." -Gary Smith, Author, How I Trade for a Living "A well-written and thoroughly enjoyable book. It is filled with refreshingly new ways of looking at the market, combined with valuable perceptions that can only come from John Hill's years of experience and the ability to see the big picture. My congratulations to John for his tenacity in delivering Futures Truth." -Perry Kaufman, Author, Trading Systems and Methods, President, Strategic Market Systems

RETRACTED BOOK: 151 Trading Strategies

Author : Zura Kakushadze
Publisher : Springer
ISBN 13 : 3030027929
Total Pages : 480 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis RETRACTED BOOK: 151 Trading Strategies by : Zura Kakushadze

Download or read book RETRACTED BOOK: 151 Trading Strategies written by Zura Kakushadze and published by Springer. This book was released on 2018-12-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.

XXIII Encontro Brasileiro de Econometria

Author :
Publisher :
ISBN 13 :
Total Pages : 610 pages
Book Rating : 4.A/5 ( download)

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Book Synopsis XXIII Encontro Brasileiro de Econometria by :

Download or read book XXIII Encontro Brasileiro de Econometria written by and published by . This book was released on 2001 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Naked Forex

Author : Alex Nekritin
Publisher : John Wiley & Sons
ISBN 13 : 1118114019
Total Pages : 293 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Naked Forex by : Alex Nekritin

Download or read book Naked Forex written by Alex Nekritin and published by John Wiley & Sons. This book was released on 2012-03-06 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: A streamlined and highly effective approach to trading without indicators Most forex traders rely on technical analysis books written for stock, futures, and option traders. However, long before computers and calculators, traders were trading naked. Naked trading is the simplest (and oldest) trading method. It's simply trading without technical indicators, and that is exactly what this book is about. Traders who use standard technical indicators focus on the indicators. Traders using naked trading techniques focus on the price chart. Naked trading is a simple and superior way to trade and is suited to those traders looking to quickly achieve expertise with a trading method. Offers a simpler way for traders to make effective decisions using the price chart Based on coauthor Walter Peters method of trading and managing money almost exclusively without indicators Coauthor Alexander Nekritin is the CEO and President of TradersChoiceFX, one of the largest Forex introducing brokers in the world Naked Forex teaches traders how to profit the simple naked way!

Acing the New SAT Math

Author : Thomas Hyun
Publisher :
ISBN 13 : 9780975475355
Total Pages : pages
Book Rating : 4.4/5 (753 download)

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Book Synopsis Acing the New SAT Math by : Thomas Hyun

Download or read book Acing the New SAT Math written by Thomas Hyun and published by . This book was released on 2016-05-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: SAT MATH TEST BOOK

Financial Risk Modelling and Portfolio Optimization with R

Author : Bernhard Pfaff
Publisher : John Wiley & Sons
ISBN 13 : 1119119685
Total Pages : 448 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Financial Risk Modelling and Portfolio Optimization with R by : Bernhard Pfaff

Download or read book Financial Risk Modelling and Portfolio Optimization with R written by Bernhard Pfaff and published by John Wiley & Sons. This book was released on 2016-08-16 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

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

Credit Risk Management In and Out of the Financial Crisis

Author : Anthony Saunders
Publisher : John Wiley & Sons
ISBN 13 : 0470622369
Total Pages : 373 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Credit Risk Management In and Out of the Financial Crisis by : Anthony Saunders

Download or read book Credit Risk Management In and Out of the Financial Crisis written by Anthony Saunders and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A classic book on credit risk management is updated to reflect the current economic crisis Credit Risk Management In and Out of the Financial Crisis dissects the 2007-2008 credit crisis and provides solutions for professionals looking to better manage risk through modeling and new technology. This book is a complete update to Credit Risk Measurement: New Approaches to Value at Risk and Other Paradigms, reflecting events stemming from the recent credit crisis. Authors Anthony Saunders and Linda Allen address everything from the implications of new regulations to how the new rules will change everyday activity in the finance industry. They also provide techniques for modeling-credit scoring, structural, and reduced form models-while offering sound advice for stress testing credit risk models and when to accept or reject loans. Breaks down the latest credit risk measurement and modeling techniques and simplifies many of the technical and analytical details surrounding them Concentrates on the underlying economics to objectively evaluate new models Includes new chapters on how to prevent another crisis from occurring Understanding credit risk measurement is now more important than ever. Credit Risk Management In and Out of the Financial Crisis will solidify your knowledge of this dynamic discipline.

Machine Learning and Data Science Blueprints for Finance

Author : Hariom Tatsat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 432 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Machine Learning and Data Science Blueprints for Finance by : Hariom Tatsat

Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

Artificial Intelligence in Finance

Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492055387
Total Pages : 478 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Artificial Intelligence in Finance by : Yves Hilpisch

Download or read book Artificial Intelligence in Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2020-10-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

5 Moving Average Signals That Beat Buy and Hold

Author : Steve Burns
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781542956543
Total Pages : 62 pages
Book Rating : 4.9/5 (565 download)

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Book Synopsis 5 Moving Average Signals That Beat Buy and Hold by : Steve Burns

Download or read book 5 Moving Average Signals That Beat Buy and Hold written by Steve Burns and published by Createspace Independent Publishing Platform. This book was released on 2017-02-04 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn five winning and backtested trading systems that beat buy and hold investing. Steve goes step-by-step, showing the results of 16 years worth of backtested results of some of the most popular moving average signals so you can see how to get in, when to get out, and how to use backtesting to your advantage!

Advanced Forecasting with Python

Author : Joos Korstanje
Publisher : Apress
ISBN 13 : 9781484271490
Total Pages : 296 pages
Book Rating : 4.2/5 (714 download)

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Book Synopsis Advanced Forecasting with Python by : Joos Korstanje

Download or read book Advanced Forecasting with Python written by Joos Korstanje and published by Apress. This book was released on 2021-07-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model. Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. It begins by explaining the different categories of models that are relevant for forecasting in a high-level language. Next, it covers univariate and multivariate time series models followed by advanced machine learning and deep learning models. It concludes with reflections on model selection such as benchmark scores vs. understandability of models vs. compute time, and automated retraining and updating of models. Each of the models presented in this book is covered in depth, with an intuitive simple explanation of the model, a mathematical transcription of the idea, and Python code that applies the model to an example data set. Reading this book will add a competitive edge to your current forecasting skillset. The book is also adapted to those who have recently started working on forecasting tasks and are looking for an exhaustive book that allows them to start with traditional models and gradually move into more and more advanced models. What You Will Learn Carry out forecasting with Python Mathematically and intuitively understand traditional forecasting models and state-of-the-art machine learning techniques Gain the basics of forecasting and machine learning, including evaluation of models, cross-validation, and back testing Select the right model for the right use case Who This Book Is For The advanced nature of the later chapters makes the book relevant for applied experts working in the domain of forecasting, as the models covered have been published only recently. Experts working in the domain will want to update their skills as traditional models are regularly being outperformed by newer models.

Model Checking, second edition

Author : Edmund M. Clarke, Jr.
Publisher : MIT Press
ISBN 13 : 0262349450
Total Pages : 423 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Model Checking, second edition by : Edmund M. Clarke, Jr.

Download or read book Model Checking, second edition written by Edmund M. Clarke, Jr. and published by MIT Press. This book was released on 2018-12-04 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: An expanded and updated edition of a comprehensive presentation of the theory and practice of model checking, a technology that automates the analysis of complex systems. Model checking is a verification technology that provides an algorithmic means of determining whether an abstract model—representing, for example, a hardware or software design—satisfies a formal specification expressed as a temporal logic formula. If the specification is not satisfied, the method identifies a counterexample execution that shows the source of the problem. Today, many major hardware and software companies use model checking in practice, for verification of VLSI circuits, communication protocols, software device drivers, real-time embedded systems, and security algorithms. This book offers a comprehensive presentation of the theory and practice of model checking, covering the foundations of the key algorithms in depth. The field of model checking has grown dramatically since the publication of the first edition in 1999, and this second edition reflects the advances in the field. Reorganized, expanded, and updated, the new edition retains the focus on the foundations of temporal logic model while offering new chapters that cover topics that did not exist in 1999: propositional satisfiability, SAT-based model checking, counterexample-guided abstraction refinement, and software model checking. The book serves as an introduction to the field suitable for classroom use and as an essential guide for researchers.

The Secrets of Trading The First Pullback

Author : Alwin Ng
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781511779340
Total Pages : 0 pages
Book Rating : 4.7/5 (793 download)

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Book Synopsis The Secrets of Trading The First Pullback by : Alwin Ng

Download or read book The Secrets of Trading The First Pullback written by Alwin Ng and published by Createspace Independent Publishing Platform. This book was released on 2014-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fact that you are here now, it means that you are looking for a better way to trade the market. Whether you are already trading the market or are planning to do so, it's clear that you are searching for a good book that can help you achieve success easily and make trading better. It's true isn't it? And there's nothing to hide because I have been in your shoes when I started and I totally understand it. While the market is random, you know that repeatable patterns exist in the market, don't you? And because human behaviours - like fear and greed - exist, then you should also believe that price and price patterns represents the very same behaviours in the financial market. Sooner or later, you will also agree that understanding price patterns in the market place will be a great option to help you improve your trading. With that, I would like to invite you to explore the idea of trading price action pullbacks at the start or as you continue your trading journey. "Sometimes the best things are just right in front of you." Believe it or not, you see price pullbacks almost every time you open your price chart because it is inevitable that price is cycling and pulling back and forth all the time. However, many traders do not see it. That just goes to show that humans (including traders) can be so engrossed in their own thing that they often fail to see the obvious that is right in front of them. While this book is primarily about pullbacks, this is also my way of breaking down information from what seems to be bulky blocks into little absorbable chunks and building them back into useful resources. By breaking the process down, you are able to spot the various clues in the market easily. The more clues you find, the more likely that you have a successful trade. At the same time, never forget the bigger picture when trading. Since the big guns are the one with the deepest pocket, it makes sense to keep track of who those market leaders are. By keeping track, I don't mean searching for the traders' information. Instead, I am referring to understanding what and how price is reacting to certain challenges in the market. In fact, the more you understand price action, the easier you can spot the leader. Trading price action pullbacks can be very profitable if done correctly. Hence, I hope to show you a variety of pullback patterns and hopefully you can use that as a starting point to fine tune your own trading. Learning to trade is a journey. However, once you built a solid foundation, the rest of the journey should be easier. Also, it is profitable trading pullback if it is congruent with your trading beliefs. Hence, I hope to explain how, why and when trading pullbacks works. More importantly, you should also understand how, why and when they do not work. Ps. Make sure to check out reviews in the Amazon UK site too. Ps2. Check out the Sneak Preview here - http: //goo.gl/9jRZ0g

Multi-Period Trading Via Convex Optimization

Author : Stephen Boyd
Publisher :
ISBN 13 : 9781680833287
Total Pages : 92 pages
Book Rating : 4.8/5 (332 download)

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Book Synopsis Multi-Period Trading Via Convex Optimization by : Stephen Boyd

Download or read book Multi-Period Trading Via Convex Optimization written by Stephen Boyd and published by . This book was released on 2017-07-28 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph collects in one place the basic deﬁnitions, a careful description of the model, and discussion of how convex optimization can be used in multi-period trading, all in a common notation and framework.

Trading and Exchanges

Author : Larry Harris
Publisher : OUP USA
ISBN 13 : 9780195144703
Total Pages : 664 pages
Book Rating : 4.1/5 (447 download)

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Book Synopsis Trading and Exchanges by : Larry Harris

Download or read book Trading and Exchanges written by Larry Harris and published by OUP USA. This book was released on 2003 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on market microstructure, Harris (chief economist, U.S. Securities and Exchange Commission) introduces the practices and regulations governing stock trading markets. Writing to be understandable to the lay reader, he examines the structure of trading, puts forward an economic theory of trading, discusses speculative trading strategies, explores liquidity and volatility, and considers the evaluation of trader performance. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).