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Backtesting And Live Trading With Interactive Brokers Using Python | Webinar

1 min read

Complete Recording

Check out the complete recording of the webinar here:


Presentation Slides


Session Outline

  • IBridgePy installation
  • A simple algorithmic trading strategy, daily close reverse
  • Go through the code and basic functions used in this strategy
  • Backtesting a strategy using historical data from IB in IBridgePy
  • Backtesting a strategy using historical data from local csv file
  • How to live trade a strategy
  • Place orders to multiple accounts
  • Analyze trading results from a strategy

And so much more...

Enroll in this course to gain practical experience in backtesting trading strategies using live and offline data. Learn to implement, test, and optimize strategies for live trading environments.


Speaker

Dr. Hui Liu (Faculty, Executive Programme in Algorithmic Trading by QuantInsti)

He is the author of IBridgePy (open-sourced software to trade with Interactive Brokers) and founder of Running River Investment LLC. His major trading interests are US equities and Forex market. Running River Investment LLC is a private hedge fund specialized in the development of automated trading strategies using Python.

He obtained his bachelor degree and master degree in materials science and engineering from Tsinghua University, China and Ph.D from University of Virginia, U.S.A. His MBA was from Indiana University, U.S.A and his study interest at Indiana was quantitative analysis.


This event was conducted on:
Thursday, November 14, 2019
9:00 AM ET | 7:30 PM IST | 10:00 PM SGT

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