gonzalomoraMD / stock-agent

This project implements an AI-driven agent that analyzes and predicts stock market trends using real-time data. It leverages AI tools and APIs to fetch stock data, process it, and provide predictive insights. The agent uses advanced models to make data-driven decisions and help users understand stock performance.

stock-agent

AI Stock Market Prediction Agent

This project implements an AI-driven agent that analyzes and predicts stock market trends using real-time data. It leverages AI tools and APIs to fetch stock data, process it, and provide predictive insights. The agent uses advanced models to make data-driven decisions and help users understand stock performance.

Key Features:

• Real-Time Data Integration: Fetches stock data and financial information via APIs.
• AI-Powered Analysis: Utilizes AI models (e.g., LangChain, Mistral) for data interpretation and stock trend predictions.
• User Interaction: Accepts stock symbols and current prices as input, providing predictions and insights in response.
• Automated Decision Making: Autonomous predictions based on historical data and trends.

Technologies Used:

• Programming Language: Python
• AI Tools: LangChain, Mistral (or any chosen model)
• Data Sources: Stock market data APIs
• Framework: Streamlit for user interaction (optional)

Setup Instructions:

1. Install necessary libraries: pip install -r requirements.txt
2. Pull the latest model using ollama pull model_name
3. Run the AI agent script to start predictions.

Future Enhancements:

• Integrate more data sources for more comprehensive analysis.
• Implement advanced predictive models to improve accuracy.