Speaker: Anil Yadav contact@quantinsti.com

2nd March, 2017

Trading using R on Interactive Brokers

Introduction

• Currently managing a portfolio of equity futures using R & Interactive Brokers

• Algo strategy advisor at iRageCapital • Commodity Portfolio Trader • Trained as mechanical engineer &

post graduation in Business Administration 2

Agenda • Overview of R and TWS • Implementation using R-studio

– Installing the IDE – Introducing IBrokers package – Reference sheet for IBrokers – Viewing account data – Historical Data and Streaming data access – Sending Limit order and StopLimit order – Moving Average cross over strategy – example code

• Robustness and other enhancements

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R • Quick prototyping after back-test therefore

minimal code changes required • Availability of a variety of packages

implementing statistical functions therefore no need to code from scratch

• Open source • Single Threaded

4

Why use R for Trading • Already are familiar with R and use it for other

steps in your trading analysis • Quickly want to test strategy to figure out

difference between real life and back testing data

5

Installing R Studio • Step 1 – install R

• Step 2 – install R-studio

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Configuring TWS

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R studio - View

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IBrokers Package • Authored and maintained by Jeff Ryan.

• Structure

– CallBack, eWrapper, ProcessMessage

• Reference-sheets

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> IBrokersRef()

IBrokers package copyright statement IBROKERS IS NOT ENDORSED, AFFILIATED, OR CONNECTED TO INTERACTIVE BROKERS, LLC. INTERACTIVE BROKERS IS TRADEMARKED AND PROPERTY OF INTERACTIVE BROKERS, LLC. IBROKERS COMES WITH NO WARRANTY, EXPRESSED OR IMPLIED, AND IS FOR USE AT YOUR OWN RISK. Copyright 2010. Jeffrey A. Ryan

Account Details and Positions • Connect to TWS on port

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Data • Define contract • Check contract validity • Get Data

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Historical Data

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Data Processing CALLBACK Function

• Wait on Connection

• Read binary data

• Process Message

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Data –User Defined CALLBACK

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Sending Limit Order

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StopLimit Order

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• Transmit – order displayed on tws but not sent to exchange, user can manually transmit order

• lmtPrice – limit price at which the order is sent to exchange • auxPrice – stop loss price.

Toy Strategy Code

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Warnings and pitfalls • Risk management module in case the default TWS

risk management system does not catch all strategy specific risks.

• Test case to be written to ensure strategy does not run into order sending loops.

• Code block to ensure order price and order quantity sanity.

• Test cases to run through every time an API upgrade happens so that you can be sure that nothing is broken.

• This is real money now. 18

Robust code for live trading • Requirements

– Handling socket connection losses – Handling error messages from Interactive Brokers – Handling Network errors

• Resource available online – API doc on Interactive Brokers website – Example code available on github by other people – Implementation with 2 R instance on github by

censix (https://github.com/censix - please note this is not an endorsement of that specific

implementation and QI is not connected in anyway with the owner of the blog) 19

Web Resources

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twsInstrument : R package http://www.londonr.org/presentations/2013/12/LondonR_-_Algorithmic_Trading_In_R_-_Malcolm_Sherrington_-_20131203.pdf

GOOD LUCK!

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Interactive Brokers LLC is a member NYSE, FINRA and SIPC. Hedge Funds are highly speculative and investors may lose their entire investment. Supporting documentation for any claims and statistical information will be provided upon request. [1] According to the Barron’s 2016 online broker review. [2] Based on independent measurements by the Transaction Auditing Group, Inc., (TAG). For additional information see, ibkr.com/info

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To find out more contact Ankit Shah, Interactive Brokers +91 (22) 61289836 ashah@interactivebrokers.com Follow IB Quant on LinkedIn: https://www.linkedin.com/company/ib-quant

Interactive Brokers and R – an Innovative Approach to Trading, Portfolio Optimization and Financial Data Mining