Algorithmic Trading using Interactive Broker's Python API | Udemy

[franktuchel]

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[center][b]Algorithmic Trading using Interactive Broker's Python API | Udemy [Update 01/2025][/b]
English | Size: 5.4 GB
Genre: eLearning[/center]

Implement algorithmic trading strategies on Interactive Broker's platform

[b]What you'll learn[/b]
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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[b]Who this course is for:[/b]
Traders looking to automate their strategies on Interactive Broker's platform
Anyone interested in Algorithmic trading

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