https://github.com/nitdraig/roger

An IA bot to consulting about S&P500 stocks
https://github.com/nitdraig/roger

ai flask

Last synced: 2 days ago
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An IA bot to consulting about S&P500 stocks

• Host: GitHub
• URL: https://github.com/nitdraig/roger
• Owner: nitdraig
• License: other
• Created: 2024-08-09T03:41:18.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-14T21:49:43.000Z (3 months ago)
• Last Synced: 2024-08-15T04:55:38.096Z (3 months ago)
• Topics: ai, flask
• Language: HTML
• Homepage: https://roger.agustin.top
• Size: 1.02 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ROGER

ROGER is a fast and efficient stock consultant designed to help you make informed decisions about buying, selling, or holding stocks in the S&P 500. By leveraging real-time financial data and AI-powered insights, ROGER provides quick recommendations along with brief explanations for each action.

## Features

- **Real-Time Data**: Access up-to-date stock prices and financial metrics for companies in the S&P 500.

- **AI-Powered Recommendations**: Get suggestions on whether to buy, sell, or hold a stock based on technical analysis and AI-generated insights.

- **Autocomplete Search**: Quickly find the stock you're interested in by typing the company name or ticker symbol.

- **Detailed Explanations**: Understand the reasoning behind each recommendation with AI-generated explanations.

## Usage

1. Open your web browser and navigate to `https://roger.agustin.top`.

2. Start typing the name or ticker symbol of an S&P 500 company in the search box.

3. Select the stock from the autocomplete suggestions.

4. View the recommendation (Buy, Sell, Hold) along with a brief explanation.

## Technology Stack

- **Backend**: Flask (Python)

- **Data Source**: Yahoo Finance (`yfinance` library)

- **AI Engine**: OpenAI GPT (via `openai` library)

- **Frontend**: HTML, CSS, JavaScript (for dynamic search and autocompletion)

- **Other**: Pandas (for data processing), JSON (for caching stock data)

## Contributing

1. Fork the repository.

2. Create a new branch (`git checkout -b feature-branch`).

3. Commit your changes (`git commit -m 'Add: some feature'`).

4. Push to the branch (`git push origin feature-branch`).

5. Create a pull request.

## License

This project is licensed under the GPL v3.0 - see the [LICENSE](LICENSE) file for details.

## Contact

For any questions or suggestions, please feel free to reach out at [email protected]