Algorithmic Trading using Interactive Broker’s Python API – Mayank Rasu

Keywords List

Python

python

data

Data

s

and

to

using

Trading

Concepts

Summary

• 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.