Algorithmic Trading using Interactive Broker's Python API

Implement algorithmic trading strategies on Interactive Broker's platform

What you'll learn

Algorithmic Trading
Interactive Broker API
Quantitative Finance
Advanced Python Concepts

Requirements

Interactive Broker Account
Basic python skills (should be familiar with data types, data structures, loops, functions, installing and importing libraries etc.)
Intermediate level familiarity with finance/trading

Description

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

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.

Who this course is for:

Traders looking to automate their strategies on Interactive Broker's platform
Anyone interested in Algorithmic trading