tbot-tradingboat

An Overview of TBOT: Purpose and Architecture

The Purpose of TBOT

The purpose of TBOT (TradingBoat) is to serve as a trading robot application that integrates with TradingView's strategy or indicator tools and Interactive Brokers' trading platform. TBOT acts as the control center within the broader TradingBoat platform, decoding alert messages received from TradingView and placing corresponding orders with Interactive Brokers.

Here are the key aspects of TBOT's purpose and functionality:

• Integration with TradingView: TBOT receives alert messages containing trading strategies or indicators from TradingView. These messages are sent via Redis Pub/Sub or Redis Stream, and TBOT decodes them in real-time.

• Interactive Brokers integration: TBOT uses the ib_insync API to interact with Interactive Brokers' trading platform. It establishes a connection with Interactive Brokers to place orders based on the decoded alert messages.

• Order placement and tracking: TBOT validates and places orders with Interactive Brokers based on the decoded alert messages. It supports various order types such as market orders, stop orders, limit orders, stop-limit orders, bracket orders, and attached orders. TBOT also tracks the status of placed orders and provides monitoring and management capabilities.

• Event handling and database management: TBOT utilizes the event handling functionality of ib_insync to track order status updates and handle errors reported by Interactive Brokers. It uses a database (e.g., SQLite3) to store and manage information related to alerts, orders, and errors, allowing for effective order tracking and error handling.

Overall, TBOT enhances the capabilities of Interactive Brokers by integrating with TradingView and providing back-testing and forward-testing functionalities. It enables traders to develop and execute trading strategies based on TradingView's tools while leveraging the execution capabilities of Interactive Brokers.

The Architecture of TBOT

TBOT is built using a combination of the Subscriber of the Pub/Sub pattern and the Observer pattern. It uses the Subscriber to receive messages from a Redis Stream or Pub/Sub and the Observer to deliver messages to Interactive Brokers, message applications, and the watchdog. TBOT is designed to be a flexible and extensible system that can be customized to meet the needs of various trading strategies and workflows. The architecture of TBOT enables it to be easily integrated with other systems and services, making it a powerful tool for automating trading processes.

TBOT on TradingBoat

TradingBoat is a platform that includes Nginx/Ngrok, Flask, Redis, TBOT, and IB Gateway.

TBOT serves as the message decoder and order placement tool, and is the brain of TradingBoat. We can refer to it as TBOT on TradingBoat.

If you install TradingBoat using Docker from https://github.com/PlusGenie/ib-gateway-docker, the TBOT application will be automatically installed within Docker containers.

This page provides instructions for standalone installation of the TBOT application.

If you are new to the TBOT application, we recommend considering the Docker installation from https://github.com/PlusGenie/ib-gateway-docker to gain an overall understanding.

Preparing for Installation of TBOT Application

To begin, follow the steps below to download, install, set up environment variables, and run the TBOT application.

Set up the Environment

Start by installing Python +3.9, assuming you are using Ubuntu 22.04.

apt-get install -y python3.9 python3.9-venv python3.9-dev python3.9-distutils python3-pip

It is recommended to install the libtmux and loguru libraries globally if you plan to use tbottmux.

pip install libtmux loguru

Create a Non-Root User

Create a non-root user with a home directory using the following command:

useradd -m tbot

Downloading and Setting Up TBOT Application

Create a Python Virtual Environment

Create the necessary directory structure and clone the TBOT repository:

mkdir -p /home/tbot/develop/github
git clone https://github.com/PlusGenie/tbot-tradingboat.git

Navigate to the TBOT directory and set up a Python virtual environment:

cd /home/tbot/develop/github/tbot-tradingboat
python3 -m venv .venv
source .venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Install Dependencies

Install TBOT as an editable package using the following command:

pip install -e .

Configuring the TBOT Application

To configure the default environment variables for TBOT, copy the example dotenv file:

cp src/tbot_tradingboat/utils/examples/dotenv ~/.env

Open the .env file and update the necessary environment variables. For example, you may need to update TBOT_IBKR_PORT and TBOT_IBKR_IPADDR based on your setup.

For more details, please refer to the chapter How to Use a DotEnv File to Control TradingBoat

Running the TBOT Application

To start the TBOT application, use the following command:

python src/tbot_tradingboat/main.py

Conclusion

By following these steps, you should now have the TBOT application installed and running. Feel free to explore and configure additional features based on your requirements. For more details on utilizing a DotEnv file to control TradingBoat, please refer to the corresponding chapter.

TBOT Warning: For Educational Purposes Only

All software provided here is intended for educational purposes only. Please be aware that any financial trading involves inherent risks and may result in financial losses. This is for educational purposes only. We strongly advise testing it solely with an Interactive Brokers Paper Account.

Reference

• Deploying TradingBoat Docker on a Public Cloud Computer Using AWS EC2
• TBOT on TradingBoat: Unleash the Power of Automated Trading
• Brief Introduction to Trading Systems: Overcoming Challenges and Unlocking Potential #1
• Brief Introduction to Trading Systems: Overcoming Challenges and Unlocking Potential #2
• Brief Introduction to Trading Systems: Overcoming Challenges and Unlocking Potential #3
• A Quick Demo of Trading Robot

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• Harnessing the Power of Redis for Efficient Trading Operations: A Detailed Look at Redis Pub/Sub and Redis Stream - Part 1

• Harnessing the Power of Redis for Efficient Trading Operations: A Detailed Look at Redis Pub/Sub and Redis Stream- Part 2

• Optimizing Execution Time: Improving TradingView to Interactive Brokers Delay with AWS Cloud

• Link Interactive Brokers to TradingView via Ngrok

• Converting TradingView PineScript Alerts into Interactive Brokers Orders

• Decoding TradingView Alerts and Mastering ib_insync: A Comprehensive Guide
  

Udemy

• Simple and Fast Trading Robot Setup with Docker, TradingView and Interactive Brokers