
Hello and welcome to the Easy Trading Bot Creation Course!
In this course, you'll learn how to set up and use a trading bot, understand its design, and obtain full access to the bot's source code.
In this video, I'll discuss the primary challenge that the trading robot in this course aims to address. By understanding the robot's goal and structure, you'll gain a clearer perspective on the solution it provides. Additionally, I'll cover the design principles that guide the development of this solution.
First, let me give you a brief overview of the roles of TradingView, Interactive Brokers, and the trading robot.
In this session, I will provide a quick demonstration of our Trading Robot.
This demo will showcase how the three components interact with each other.
The three main components are:
TradingView
The Trading Robot, which I'll be introducing in this course. Let's call it TradingBoat. We will examine this in greater detail in a later session.
Lastly, Interactive Brokers. For this demonstration, I will be using the TWS Workstation provided by Interactive Brokers
In this section, We will start by taking a top-down approach to understanding the architecture of an automated trading system
A high-level overview of automated trading systems
Examining the trading robot itself
The brain of the trading robot and its role and architecture
In this section, you will learn How to Set Up TradingBoat Docker in 5 Minutes.
Firstly, I will explain the reason why I’m using Docker technology for this training.
A Step-by-Step Guide on how to install a docker and how to run
You will learn how to access the docker container in two interfaces:
Use a web browser to access HTTP server inside the container
Use a VNC viewer to access VNC server inside the container
To access TBOT on TradingBoat from outside the network, a door key and the receiver address are required: two pieces of information are needed for TradingView to access TradingBoat.
In this section, we will explore two important aspects of TradingBoat's web interfaces:
TVWB provides the webhook key for TradingView's PineScript TBOT library.
NGROK provides the endpoint URL that TradingView's alert messages are sent to.
In this session:
Learn how to set up Alert Messages under TradingView's Alert Settings
Verify if alerts arrive at your Docker (TradingBoat)
Confirm if alert messages are converted into Interactive Brokers' orders
The simplest way to track orders from TradingView's message to IBKR is by using the Web Browser Interface. On this video, there are four important components of the interface:
Alerts: These are webhook messages received by TBOT on TradingBoat from TradingView. The important columns to search for a specific alert are TBOT_TIME and ORDERREF.
Orders: This table displays order history, open orders, and portfolio from IB Gateway. Orders that are shown on the Orders Table are equal to those on IB Gateway.
TBOT: This is the inner JOIN table between Alerts and Orders used to track the transition between webhooks and orders.
Errors: This table displays error messages coming from IB Gateway or TWS.
In this section, we will demonstrate how to generate alert messages from TradingView to send to TradingBoat. We will be using a simple PineScript strategy in conjunction with a specialized PineScript Library that creates a JSON message.
The Web Interface we saw at http://127.0.01:5000 is a read-only interface. To configure multiple software components inside Tradingboat Docker, we can use environment variables that can be found in the provided materials.
As demonstrated in the accompanying image, you can manage multiple software components, such as Redis, TBOT, IB Gateway, TVWB (Flask), and messaging apps.
This video will guide you through using the DOTENV file, tbottmux utility, and controlling individual applications within the Docker environment.
TradingView's PineScript language allows users to create trading algorithms that can be tested and implemented in the markets.
By employing the PineScript TBOT library, users can send their algorithms' outputs to TBOT on TradingBoat using pre-defined JSON format messages, enabling efficient communication and streamlined automated trading systems.
Understanding the JSON data format and the architecture of the TBOT system is crucial for effectively utilizing the PineScript TBOT library in TradingView.
JSON (JavaScript Object Notation)is a user-friendly data format used to transfer information between applications, websites, and servers due to its simplicity and wide compatibility.
In this section, we will examine the JSON data format employed by the PineScript TBOT library and TBOT on TradingBoat.
Thank you for spending time with me. I hope that this trading guide provides you with a useful reference to explore TBOT on TradingBoat further so that you can take advantage of it.
TBOT on TradingBoat can be easily deployed to cloud computers and should serve as a reference platform that can be further customized.
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.