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

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

Course content
11 sections • 76 lectures – 11 h 44m total length

• Introduction to Interactive Brokers & its API
• Advanced Python Concepts
• Understanding IB API Python Wrapper
• Historical Data v Order Management
• Other Important API Calls
• Technical Indicators in IB
• Backtesting Strategies
• Designing & Deploying Strategies on IB
• Streaming Market Data
• Extracting Fundamental Data

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