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Udemy

Algorithmic Trading using Interactive Broker's Python API

via Udemy

Overview

Implement algorithmic trading strategies on Interactive Broker's platform

What you'll learn:
  • Algorithmic Trading
  • Interactive Broker API
  • Quantitative Finance
  • Advanced Python Concepts

Design and deploy trading strategies on Interactive Broker's platform. Automate every step of your strategy including, extracting data (stock data and fundamental data), performing technical/fundamental analysis, generating signals, placing trades, risk management etc. Gain a thorough understanding of native interactive broker's API.

You can expect to gain the following skills from this course

  • API trading

  • Advanced python concepts (OOP concepts, multi-threading etc.)

  • Extracting historical data

  • Extracting fundamental data

  • Harnessing streaming tick level data

  • Incorporating technical indicators using python

  • End to End strategy design and deployment

  • Handling asynchronous calls

  • Sqlite database management

  • Interactive Broker's TWS terminal

  • Relevant account settings in IB


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Important note - Course prerequisites:

Please note that this course requires basic python proficiency. At the minimum, you should be comfortable with:

  • basic python data types and format

  • basic python data structures such as list, dictionary, tuple etc.

  • how to create python functions

  • how to implement loops in python

  • installing and importing libraries

Basic python proficiency is mandatory because Interactive Broker API's python client uses advanced OOP and asynchronous programming concepts. While, I have devoted an entire section explaining these concepts, students with no python knowledge will really struggle to follow along.

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Taught by

Mayank Rasu and RASUQUANT LTD

Reviews

4.6 rating at Udemy based on 1461 ratings

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