Webinars This Blog

Implement Algo Trading Coded In Python Using Interactive Brokers API

2 min read

Webinar Date and Time

Thursday, November 10, 2016

8:00 PM IST | 8:30 AM CST

Did you miss Dr. Hui Liu’s webinar on Trading with Python in Live Markets in September?

No worries, because Quantinsti’s back with the webinar that eased the lives of thousands of attendees. This time, it is only getting bigger as Interactive Brokers themselves are hosting an insightful session on Implement Algo Trading coded in Python using Interactive Brokers API.

Many quant traders and researchers prefer Python algorithmic trading these days over other programming languages as Python help them build their own data connectors, execution mechanisms, backtesting engines, risk and order management system, Walk forward and Optimization testing modules.

For Individuals new to algorithmic trading, Python code is easily readable and understandable. Python is easier to write and evaluate Algo trading structures because of its functional programming approach.

Guest Speaker

Dr Hui Liu

Dr. Hui Liu

  • Faculty, Quantinsti
  • Author, IBridgePy, an open sourced software to trade with Interactive Brokers
  • Founder, Running River Investment LLC

Dr. Hui’s major trading interests are US equities and Forex market. Running River Investment LLC is a private hedge fund specialized in development of automated trading strategies using Python. Hui is the author of IBridgePy, a famous Python trading platform that allows traders to implement their trading strategies quickly.

Dr. Hui Liu 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.

Session Details

The session is perfect for beginners and professionals in the world of Automated trading with Python. The speaker will begin with brief overview about popular and existing web-based algorithmic trading platforms.

The focus of the session would be on applicability of IBridgePy, which is an open-sourced software used to connect to Interactive Brokers C++ API for execution of python codes in live markets.

Dr. Hui, author of this popular software will show how to use this free platform to trade your strategies and discuss the three cornerstones of IBridgePy: get real time quotes, grab historical data and place orders.

Who should attend?

  • Automated trading enthusiasts
  • Python coders interested in financial markets
  • Interactive Brokers users
  • Those who are looking for automated execution solutions
  • Those who are curious about using Python for trading

More about IBridgePy

IBridgePy is a famous Python trading platform that allows traders to implement their trading strategies quickly. It is widely accepted as the next generation Python trading platform in the community of Python. The main features of IBridgePy include:

  1. It can trade any securities offered by Interactive Brokers, for examples, futures, options, forex and etc.
  2. It can manage multiple accounts at same time.
  3. It can simultaneously execute multiple trading strategies.


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