https://github.com/tushcmd/financial-analysis-automation

https://github.com/tushcmd/financial-analysis-automation

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/tushcmd/financial-analysis-automation
• Owner: tushcmd
• Created: 2024-12-05T18:51:58.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-12-10T08:56:01.000Z (6 months ago)
• Last Synced: 2025-02-09T00:44:58.941Z (4 months ago)
• Language: Jupyter Notebook
• Size: 528 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


# 🔍 Financial Stock Research Automation

## Overview

This Streamlit application provides advanced stock research capabilities through two primary search methods:

### 1. Semantic Search

Find stocks by describing the type of company you're interested in. The application uses advanced natural language processing to match your description with stock descriptions.

### 2. Metric Search

Filter stocks based on quantitative metrics like:

- Market Capitalization

- Trading Volume

- Sector

## Screenshots

![EV Companies](public/EVS.png)

![Search Results](public/Web0.png)

![Generated Insigt](public/Web1.png)

## Setup Instructions

1. Clone the repository

2. Install requirements: `pip install -r requirements.txt`

3. Create a `.env`, set up Groq and Pinecone API keys.

4. Run the application: `streamlit run app.py`

## Technologies Used

- Streamlit

- Pinecone Vector Database

- Sentence Transformers

- yFinance

## Future Enhancements

- Expand metric search capabilities

- Add more detailed stock analysis

- Implement advanced filtering options