README.md

CapyTrader AI

CapyTrader AI is a laid-back and fun Capybara who likes to watch the stock market from its beach house in Brazil and loves making predictions on future movements. Just give a symbol from Yahoo Finance and see what CapyTrader thinks of it. Of course, our capybara buddy doesn't offer real financial advice, and his analyses are just for fun!

Features

• AI-powered stock analysis using OpenAI's GPT-4
• Real-time stock data fetching using yfinance
• Charming capybara mascot for a fun user experience
• Simple and intuitive web interface

Installation and Setup

1. Clone the repository:

   git clone https://github.com/luuisotorres/capytrader-ai.git
   cd capytrader-ai
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set up the environment variables: Copy the .env.example file to a new file named .env:

   cp .env.example .env
   

   Open the .env file and replace your_openai_api_key_here with your actual OpenAI API key.

Usage

1. Run the Flask application:

   python app.py
   

2. Open your web browser and go to http://localhost:5000

3. Enter a stock symbol (e.g., AAPL) and click "Analyze"

4. Enjoy CapyTrader's analysis!

Project Structure

• app.py: Main Flask application
• gpt_utils.py: Utilities for interacting with OpenAI API
• fetch_stock_data.py: Functions for fetching and processing stock data
• templates/index.html: HTML template for the web interface
• static/capytrader.jpg: CapyTrader profile picture

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Luis Fernando Torres, 2024

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https://luuisotorres.github.io/