scealiontach / autotrader

This is a simulation of algorithmic trading based on python. Currently it is limited to daily data, and is designed just as an experiment.

AutoTrader

AutoTrader is a stock and crypto trading simulation application designed to automate and optimize your trading strategy. It is meant to be used for demonstration purposes only and should not be used for actual trading.

Features

• Market Analysis: Daily EOD Market data to provide insights.
• Portfolio Management: Manage and track trading portfolios.
• Trading Recommendations: Offers trading recommendations based on market data analysis.
• Data Visualization: Includes various templates for data representation and reporting.
• Backtesting: Test your trading strategy on historical data.

Getting Started

Prerequisites

• Docker
• Python 3.8 or higher

Setup

1. Clone the repository:

git clone https://github.com/scealiontach/autotrader.git

1. Navigate to the project directory:

cd autotrader

1. Use Docker Compose to build and run the services:

docker-compose up --build

1. Your application should now be running on http://localhost:5000.

Usage

After starting the application, you can access the web interface to manage your portfolio, view market analytics, and explore trading recommendations.

Contributing

We welcome contributions to AutoTrader! If you have suggestions for improvements or bug fixes, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.