Interactive Brokers Python API – Advanced Concepts

Interactive Brokers Python API – Advanced Concepts, available at $74.99, has an average rating of 4.77, with 41 lectures, based on 336 reviews, and has 4353 subscribers.

You will learn about Algorithmic Trading Interactive Broker API Advanced Python Concepts Advanced IBAPI concepts This course is ideal for individuals who are Traders looking to automate their strategies on Interactive Broker's platform or Anyone interested in Algorithmic trading It is particularly useful for Traders looking to automate their strategies on Interactive Broker's platform or Anyone interested in Algorithmic trading.

Enroll now: Interactive Brokers Python API – Advanced Concepts

Summary

Title: Interactive Brokers Python API – Advanced Concepts

Price: $74.99

Average Rating: 4.77

Number of Lectures: 41

Number of Published Lectures: 41

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Algorithmic Trading
Interactive Broker API
Advanced Python Concepts
Advanced IBAPI concepts

Who Should Attend

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

Target Audiences

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

Design and deploy advanced trading strategies on Interactive Broker’s platform using parallel programming/multithreading concepts. Gain an edge in your trading by learning to harness advanced IBAPI functionalities and modules such as scanner, advanced orders etc.

You can expect to gain the following skills from this course

Applying Parallel programming concepts in API trading
Advanced order types
Harnessing streaming data (price, position, p&l)
Implementing scanner using IBAPI
Backtesting strategies
End to end design and deployment of advanced strategies

This course aims to provide a much deeper understanding of IBAPI features to beginner and intermediate level users of IBAPI. I have created this course based on the feedback received on my introductory IBAPI course from students who wanted to delve deeper and deploy advanced algorithms on IBAPI platform. This course seeks to provide you with the required tools to deploy any kind of strategy on Interactive Brokers platform and gain an edge by leveraging IBAPI’s advanced functionalities.

The course covers and implements Open Range Breakout strategy which is quite complex to implement as it requires a number of tasks to be performed simultaneously (e.g. streaming current price of tickers, streaming PnL of tickers, extracting historical data periodically, performing calculations, generating signals and order management). The course explains how such strategies can be built step by step and how the various IBAPI tools can be used efficiently to ensure that the various parts of the strategy work harmoniously.

Course Curriculum

Chapter 1: Introduction

Lecture 1: IBAPI Courses

Lecture 2: Why Advanced API Course

Lecture 3: IBAPI Pros & Cons

Lecture 4: IBAPI – Quick Recap

Lecture 5: Important – Debugging Errors Arising from Function Signature Changes

Lecture 6: IBAPI Function Change Catalogue

Lecture 7: Basic Code Architecture

Lecture 8: Code Architecture with Multithreading

Chapter 2: Multithreading Deep Dive

Lecture 1: Sequential vs Parallel Programming

Lecture 2: Python Multithreading Intuition

Lecture 3: Python Multithreading Implementation

Lecture 4: Homework – Multithreading Implementation

Lecture 5: Multithreading Homework Solution

Chapter 3: Last Traded Price

Lecture 1: LTP Using Multithreading

Lecture 2: LTP Implementation

Chapter 4: Historical Data API

Lecture 1: Historical Data Recap & Limitation

Lecture 2: Historical Data Extraction using Conditional Lag

Lecture 3: Historical Data Extraction using Event

Chapter 5: Orders API

Lecture 1: Orders API Recap

Lecture 2: Open Orders Recap

Lecture 3: Fetching Executed Orders

Lecture 4: Bracket Orders

Chapter 6: Position & PnL

Lecture 1: Extracting Updated Positions

Lecture 2: Streaming Account Level PnL

Lecture 3: Streaming Position Level PnL

Chapter 7: Scanner

Lecture 1: TWS Scanner Intro

Lecture 2: Extracting Scanner Parameters

Lecture 3: Implementing Scanner Using IBAPI

Chapter 8: Open Range Breakout Strategy

Lecture 1: Open Range Breakout Strategy – Intro

Lecture 2: ORB – Trading App Basic Structure

Lecture 3: ORB – Getting Historical Data

Lecture 4: ORB – Implementing Strategy Conditions

Lecture 5: ORB – Implementing Kill Switch

Lecture 6: ORB – Handling Events

Lecture 7: ORB – Strategy Demo

Lecture 8: ORB – Homework Assignment

Lecture 9: ORB – Homework Assignment Solution

Chapter 9: Open Range Breakout Backtesting

Lecture 1: ORB Backtesting Planning

Lecture 2: Extracting Daily Data for Universe of Stocks

Lecture 3: Identifying Top Gap Stocks

Lecture 4: Implementing Backtesting & Calculating Returns

Instructors

Mayank Rasu
Experienced Quant Researcher and Educator
RASUQUANT LTD
Leading Creator of Algorithmic Trading Courses

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 9 votes
4 stars: 93 votes
5 stars: 233 votes

Frequently Asked Questions

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