Algorithmic Trading with Interactive Brokers (Python and C++)
Algorithmic Trading with Interactive Brokers (Python and C++)

How to Read Algorithmic Trading with Interactive Brokers (Python and C++) DOC

Through Interactive Brokers, software developers can write applications that read financial data, scan for contracts, and submit orders automatically. Individuals can now take advantage of the same high-speed decision making and order placement that professional trading firms use.This book walks through the process of developing applications based on IB's Trader Workstation (TWS) programming interface. Beginning chapters introduce the fundamental classes and functions, while later chapters show how they can be used to implement full-scale trading systems. With an algorithmic system in place, traders don't have to stare at charts for hours on end. Just launch the trading application and let the TWS API do its work.The material in this book focuses on Python and C++ coding, so readers are presumed to have a basic familiarity with one of these languages. However, no experience in financial trading is assumed. If you're new to the world of stocks, bonds, options, and futures, this book explains what these financial instruments are and how to write applications capable of trading them.Matthew Scarpino is a veteran programmer with over twenty years of experience and a CFA Level II candidate.Table of ContentsChapter 1: IntroductionChapter 2: Stocks, Bonds, and TWSChapter 3: Trading Options with TWSChapter 4: Options StrategiesChapter 5: Trading Futures ContractsChapter 6: Fundamental Classes of the APIChapter 7: Contracts and OrdersChapter 8: Accessing Financial DataChapter 9: Scanning for SecuritiesChapter 10: Advanced OrdersChapter 11: Computing Technical IndicatorsChapter 12: Implementing Option Strategies in CodeChapter 13: The Turtle Trading and Bollinger-MFI SystemsChapter 14: Practical Algorithmic TradingAppendix A: The FIX ProtocolAppendix B: The Kelly Criterion

  • Released: November 16, 2020
  • Author: Matthew Scarpino
  • Rating: 4
  • Publisher: Ebook DIgital Agency
  • Total Page: 637 pages
  • File Size: 3670 KB

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