Simple and Fast Trading Robot Setup with Docker, TradingView
Launching a Trading Robot in 5 Minutes with Docker, TradingView's Webhook, and Interactive Brokers
Ratings 4.69 / 5.00
What You Will Learn!
- These lectures focus on developing a trading robot that connects TradingView to Interactive Brokers.
- You will gain the knowledge required to manage the complete source code of the Trading Bot, which can serve as a reference for developing your own Trading Bot
- Learn to convert TradingView indicators/strategies into alert messages using various order types (limit, stop, market, bracket) and place them on TWS or IB gw
- Students will learn how to set up and use Docker to efficiently deploy and manage the trading robot's components and supporting software.
- The course will cover the process of setting up and running a Trading Bot on Docker, enabling students to quickly launch the trading platform.
- Students will learn how to access the Docker container through both web browser and VNC viewer interfaces.
- This knowledge can be applied to other platforms apart from TradingView and Interactive Brokers, expanding the students' skillset in the trading world.
- As a bonus, enrolled students will be provided with a comprehensive guidebook as a 154-page PDF. This guidebook contains in-depth details and insights.
Description
Welcome to this comprehensive course 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 course, 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 course, 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.
As a bonus, enrolled students will be provided with a comprehensive guidebook as a 154-page PDF. This guidebook contains in-depth details and insights about the topics covered in the lectures, serving as useful reference material for the students. This material is exclusively for Udemy subscribers
By the end of this course, you'll have the tools and knowledge to launch your own trading bot quickly and easily, not just for TradingView and Interactive Brokers but also for other platforms. Join now to start your journey to becoming a successful trader.
Who Should Attend!
- Traders and investors: Individuals who are actively involved in trading or investing in the financial markets and are looking to automate their strategies using trading robots.
- Traders and investors: Individuals who are actively involved in trading or investing in the financial markets and are looking to automate their strategies using trading robots.
- Algorithmic traders: Traders who are interested in implementing automated trading strategies and want to learn how to create, test, and deploy trading robots that connect TradingView with Interactive Brokers.
- Financial technology enthusiasts: People interested in learning more about financial technology, trading automation, and the integration of various tools and platforms to enhance their trading experience.
- TradingView users: Active users of the TradingView platform who want to leverage their existing knowledge and skills to build trading robots that can execute trades on Interactive Brokers.
- Students and professionals: Individuals who are studying finance, computer science, or a related field, as well as professionals looking to expand their skillset and enhance their career prospects in the financial industry.
