Stock Market Sentiment Analyzer

A Python tool that analyzes investment sentiment for S&P 500 stocks using web scraping and AI-powered analysis.

Features

• Validates stock symbols against S&P 500 company list
• Performs targeted Google searches for recent stock analysis articles
• Scrapes and processes article content while filtering out ads and irrelevant content
• Uses OpenAI's GPT model to generate investment sentiment analysis
• Provides clear Buy/Sell/Hold recommendations with supporting rationale

Prerequisites

• Python 3.6+
• OpenAI API key set in environment variables
• Required Python packages:
  • requests
  • beautifulsoup4
  • googlesearch-python
  • openai
  • tiktoken

Installation

1. Clone this repository
2. Install required packages:

   pip install requests beautifulsoup4 googlesearch-python openai tiktoken

Usage

1. Run the program
2. Enter a valid S&P 500 stock symbol when prompted
3. Wait for the analysis to complete
4. Review the AI-generated sentiment analysis and investment recommendation

How It Works

1. validate() checks if the input symbol exists in S&P 500
2. scan() performs Google searches for recent stock analysis
3. scrape() extracts relevant content from search results
4. sentiment() uses GPT to analyze the aggregated content
5. Results are presented with specific reasons for the recommendation

Files

• project.py - Main program logic
• stocks.csv - S&P 500 company database
• test_project.py - Unit tests
• URLs.txt - Cached search results

Testing

Run the test suite:

pytest test_project.py

Limitations

• Depends on Google search results availability
• Requires active internet connection
• Analysis quality depends on OpenAI API availability
• Limited to S&P 500 stocks only