Trading Bot

A trading bot built using Python and TensorFlow to automate trading strategies.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Configuration
• Contributing
• License

Introduction

The trading bot is designed to automate trading strategies using historical data, technical indicators, and machine learning. It connects to the MetaTrader 5 platform, retrieves historical data, calculates indicators, generates trade signals, executes trades, and updates a neural network model based on trade outcomes.

Features

• Retrieval of historical data from MetaTrader 5
• Calculation of technical indicators (RSI, MACD, etc.)
• Detection of double tops and bottoms patterns
• Generation of trade signals based on indicators, patterns, and trend direction
• Execution of trades with risk management
• Update of a TensorFlow neural network model based on trade outcomes
• Visualization of data and trade signals

Installation

• Clone the repository:

git clone https://github.com/your-username/trading-bot.git

• Install Docker and Docker Compose on your system.
• Build the Docker image and start the container:

cd trading-bot
   docker-compose up -d --build

Usage

• Ensure that the Docker container is running.
• Access the running container:

docker exec -it trading-botapp1 bash

• Inside the container, run the trading bot:

python main.py

• The trading bot will start executing the trading strategies based on the predefined logic.
• Monitor the bot's output and visualizations.

• To stop the bot, use Ctrl + C in the terminal.

Configuration

The trading bot can be customized and configured by modifying the following files:

• main.py: Contains the main logic for running the trading bot.
• config.py: Defines the configuration parameters such as symbol, timeframe, lot size, stop loss, take profit, etc.
• indicators.py: Defines additional technical indicators and patterns to be used.
• preprocess.py: Handles data preprocessing and feature engineering.
• model.py: Defines the structure and training of the neural network model.
• docker-compose.yml: Configures the Docker container for running the trading bot.

Contributing

Contributions are welcome! If you encounter any issues or have suggestions for improvements, please feel free to submit a pull request or create an issue in the repository.

License

This project is licensed under the MIT Licence.