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Chris Conlan Automated Trading with R (Paperback) (UK IMPORT)

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
Automated Trading with R
Title
Automated Trading with R
Subtitle
Quantitative Research and Platform Development
EAN
9781484221778
ISBN
9781484221778
Edition
1st ed.
Genre
Computing & Internet
Release Year
2016
Release Date
09/29/2016
Country/Region of Manufacture
US
Item Height
254mm
Publication Year
2016
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Automated Trading with R : Quantitative Research and Platform Development
Author
Christopher Conlan
Item Length
10in
Publisher
Apress L. P.
Item Width
7in
Item Weight
159.1 Oz
Number of Pages
Xxv, 205 Pages

Over dit product

Product Information

This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional trading platform. Automated Trading with R provides automated traders with all the tools they need to trade algorithmically with their existing brokerage, from data management, to strategy optimization, to order execution, using free and publically available data. If your brokerage s API is supported, the source code is plug-and-play. 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. The book s three objectives are: To provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders. To offer an understanding the internal mechanisms of an automated trading system. To standardize discussion and notation of real-world strategy optimization problems. What you ll learn Programming an automated strategy in R gives the trader access to R and its package library for optimizing strategies, generating real-time trading decisions, and minimizing computation time. How to best simulate strategy performance in their specific use case to derive accurate performance estimates. Important machine-learning criteria for statistical validity in the context of time-series. An understanding of 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 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. "

Product Identifiers

Publisher
Apress L. P.
ISBN-10
148422177x
ISBN-13
9781484221778
eBay Product ID (ePID)
22038398044

Product Key Features

Author
Christopher Conlan
Publication Name
Automated Trading with R : Quantitative Research and Platform Development
Format
Trade Paperback
Language
English
Publication Year
2016
Type
Textbook
Number of Pages
Xxv, 205 Pages

Dimensions

Item Length
10in
Item Width
7in
Item Weight
159.1 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa76.76.C65
Table of Content
Part 1: Problem Scope Chapter 1: Fundamentals of Automated Trading Chapter 2: Networking Part I: Fetching Data Part 2: Building the Platform Chapter 3: Data Preparation Chapter 4: Indicators Chapter 5: Rule Sets Chapter 6: High-Performance Computing Chapter 7: Simulation and Backtesting Chapter 8: Optimization Chapter 9: Networking Part II Chapter 10: Organizing and Automating Scripts Part 3: Production Trading Chapter 11: Looking Forward Chapter 12: Appendix A: Source Code Chapter 13: Appendix B: Scoping in Multicore R
Copyright Date
2016
Target Audience
Trade
Topic
Programming Languages / General, Programming / General, E-Commerce / Online Trading
Lccn
2016-953336
Dewey Decimal
332.640285
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Business & Economics

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