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Automated Trading with R

Quantitative Research and Platform Development

Author: Chris Conlan

Publisher: Apress

ISBN:

Category: Computers

Page: 205

View: 473

Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. This book will: Provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders Offer an understanding of the internal mechanisms of an automated trading system Standardize discussion and notation of real-world strategy optimization problems What You Will Learn Understand machine-learning criteria for statistical validity in the context of time-series Optimize strategies, generate real-time trading decisions, and minimize computation time while programming an automated strategy in R and using its package library Best simulate strategy performance in its specific use case to derive accurate performance estimates Understand critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital Who This Book Is For Traders/practitioners at the retail or small fund level with at least an undergraduate background in finance or computer science; graduate level finance or data science students

Quantitative Trading with R

Understanding Mathematical and Computational Tools from a Quant’s Perspective

Author: Harry Georgakopoulos

Publisher: Springer

ISBN:

Category: Business & Economics

Page: 272

View: 793

Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.

The Blender Python API

Precision 3D Modeling and Add-on Development

Author: Chris Conlan

Publisher: Apress

ISBN:

Category: Computers

Page: 138

View: 884

Understand Blender's Python API to allow for precision 3D modeling and add-on development. Follow detailed guidance on how to create precise geometries, complex texture mappings, optimized renderings, and much more. This book is a detailed, user-friendly guide to understanding and using Blender’s Python API for programmers and 3D artists. Blender is a popular open source 3D modeling software used in advertising, animation, data visualization, physics simulation, photorealistic rendering, and more. Programmers can produce extremely complex and precise models that would be impossible to replicate by hand, while artists enjoy numerous new community-built add-ons. The Blender Python API is an unparalleled programmable visualization environment. Using the API is made difficult due to its complex object hierarchy and vast documentation. Understanding the Blender Python API clearly explains the interface. You will become familiar with data structures and low-level concepts in both modeling and rendering with special attention given to optimizing procedurally generated models. In addition, the book: Discusses modules of the API as analogs to human input modes in Blender Reviews low-level and data-level manipulation of 3D objects in Blender Python Details how to deploy and extend projects with external libraries Provides organized utilities of novel and mature API abstractions for general use in add-on development What You’ll Learn Generate 3D data visualizations in Blender to better understand multivariate data and mathematical patterns. Create precision object models in Blender of architectural models, procedurally generated landscapes, atomic models, etc. Develop and distribute a Blender add-on, with special consideration given to careful development practices Pick apart Blender’s 3D viewport and Python source code to learn about API behaviors Develop a practical knowledge of 3D modeling and rendering concepts Have a practical reference to an already powerful and vast API Who This Book Is For Python programmers with an interest in data science, game development, procedural generation, and open-source programming as well as programmers of all types with a need to generate precise 3D models. Also for 3D artists with an interest in programming or with programming experience and Blender artists regardless of programming experience.

BUILDING AUTOMATED TRADING STRATEGIES

«INTRODUCTION TO AUTOMATED STRATEGY BUILDING & OPTIMIZATION»

Author: George Protonotarios

Publisher: GEORGE M. PROTONOTARIOS

ISBN:

Category: Business & Economics

Page: 64

View: 895

This eBook includes general information and educational resources for explaining the modern use of automated trading, plus some practical information and advice on how to create a proprietary automated trading system. The optimization of a trading strategy through sophisticated backtesting and walk-through steps is maybe the most difficult part of strategy building. This eBook contains information on how to successfully backtest and optimize automated trading strategies.

Expert Advisor Programming for MetaTrader 4

Creating Automated Trading Systems in the MQL4 Language

Author: Andrew R. Young

Publisher:

ISBN:

Category:

Page: 290

View: 333

Brand new and fully updated for the latest versions of MetaTrader 4, "Expert Advisor Programming for MetaTrader 4" is a practical guide to programming expert advisors in the MQL4 language. Leverage the latest features imported from the MQL5 language, including object-oriented programming, enumerations, structures and more. This book will teach you the following concepts: The basics of the MQL4 language, including variables and data types, operations, conditional and loop operators, functions, classes and objects, event handlers and more. Place, modify and close market and pending orders. Add a stop loss and/or take profit price to an individual order, or to multiple orders. Close orders individually or by order type. Get a total of all currently opened orders. Work with OHLC bar data, and locate basic candlestick patterns. Find the highest high and lowest low of recent bars. Work with MetaTrader's built-in indicators, as well as custom indicators. Add a trailing stop or break even stop feature to an expert advisor. Use money management and lot size verification techniques. Add a flexible trading timer to an expert advisor. Construct several types of trading systems, including trend, counter-trend and breakout systems. Add alerts, emails, sounds and other notifications. Add and manipulate chart objects. Read and write to CSV files. Construct basic indicators, scripts and libraries. Learn how to effectively debug your programs, and use the Strategy Tester to test your strategies. All of the source code in this book is available for download, including an expert advisor framework that allows you to build robust and fully-featured expert advisors with minimal effort. Whether you're a new trader with limited programming experience, or an experienced programmer who has worked in other languages, "Expert Advisor Programming for MetaTrader 4" is the easiest way to get up and running in MQL4.

Algorithmic Trading

Winning Strategies and Their Rationale

Author: Ernie Chan

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 224

View: 811

Praise for Algorithmic Trading "Algorithmic Trading is an insightful book on quantitativetrading written by a seasoned practitioner. What sets this bookapart from many others in the space is the emphasis on realexamples as opposed to just theory. Concepts are not onlydescribed, they are brought to life with actual trading strategies,which give the reader insight into how and why each strategy wasdeveloped, how it was implemented, and even how it was coded. Thisbook is a valuable resource for anyone looking to create their ownsystematic trading strategies and those involved in managerselection, where the knowledge contained in this book will lead toa more informed and nuanced conversation with managers." —DAREN SMITH, CFA, CAIA, FSA, Managing Director, ManagerSelection & Portfolio Construction, University of Toronto AssetManagement "Using an excellent selection of mean reversion and momentumstrategies, Ernie explains the rationale behind each one, shows howto test it, how to improve it, and discusses implementation issues.His book is a careful, detailed exposition of the scientific methodapplied to strategy development. For serious retail traders, I knowof no other book that provides this range of examples and level ofdetail. His discussions of how regime changes affect strategies,and of risk management, are invaluable bonuses." —Roger Hunter, Mathematician and AlgorithmicTrader

The Science of Algorithmic Trading and Portfolio Management

Author: Robert Kissell

Publisher: Academic Press

ISBN:

Category: Business & Economics

Page: 496

View: 825

The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. Helps readers design systems to manage algorithmic risk and dark pool uncertainty. Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.

Professional Automated Trading

Theory and Practice

Author: Eugene A. Durenard

Publisher: John Wiley & Sons

ISBN:

Category: Business & Economics

Page: 384

View: 231

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.

Expert Advisor Programming for MetaTrader 5, Second Edition

Creating Automated Trading Systems in the MQL5 Language

Author: Andrew R. Young

Publisher:

ISBN:

Category:

Page: 338

View: 300

The first guide to programming in MQL5 is here! Expert Advisor Programming for MetaTrader 5 is a practical guide to creating automated trading strategies in the MQL5 language. Take advantage of MetaTrader 5's new features and take your trading to the next level!You'll learn how to program expert advisors quickly and easily using a ready-made framework created by an experienced MQL programmer.

Microstructure of World Trading Markets

A Special Issue of the Journal of Financial Services Research

Author: Hans R. Stoll

Publisher: Springer Science & Business Media

ISBN:

Category: Business & Economics

Page: 154

View: 520

This volume addresses various aspects of the microstructure of world trading markets and provides scientific evidence on the functioning of specific foreign markets. The study of market microstructure has previously focused on the U.S. markets, but with the rapid expansion in foreign markets there is a real need to understand the nature and functioning of foreign trading markets.

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