Welcome to this comprehensive book on launching a trading bot using Docker for TradingView's webhook and Interactive Brokers. In just five minutes, you'll learn how to set up a trading robot and gain full access to its source code, allowing you to develop a custom trading robot that connects TradingView to Interactive Brokers.
The primary challenge in creating a trading bot with Interactive Brokers is its lack of built-in backtesting capabilities. In this book, we'll overcome this challenge by using TradingView for backtesting and seamlessly integrating it with Interactive Brokers for both back- and forward-testing.
Throughout the book, you'll acquire essential software skills necessary for running your own trading bot and learn how to efficiently deploy and manage the bot's components using Docker. You'll also learn how to access the Docker container through both web browser and VNC viewer interfaces.
We'll start by taking a top-down approach to understanding the architecture of an automated trading system. Next, we'll cover the necessary command lines, sources, and user interface to launch the trading robot in just five minutes.
We'll also explore how to set up TradingView alerts for the trading robot, create a simple PineScript to generate alert messages and track how TradingView alerts are converted into orders of Interactive Brokers using IB in sync API. We'll fine-tune the robot using a dozen environment variables and examine the message format used by TradingView's webhook and its design philosophy.
By the time you reach the end of this book, you'll be equipped with the necessary tools and knowledge to swiftly and effortlessly launch your own trading bot. This newfound expertise extends beyond just TradingView and Interactive Brokers, enabling you to deploy your bot on various other platforms as well.
To enhance your learning experience, we have provided a Quick Demonstration of the Trading Robot, which you can watch at YouTube link. Additionally, you can access the complete source code of the Trading Robot on GitHub at GitHub link. Embark on this transformative journey today and pave your way towards becoming a successful trader.
You'll learn how to set up a trading robot and gain full access to its source code