NIFDA_NEW

create a virtulal env

WAY- 1

virtualenv venv

way - 2

python -m venv

way - 3

conda create -n <env_name> python=3.11 -y

Next install the library

pip install -r requirements.txt

Run the streamlit app

streamlit run

Stock Analysis Agent

Overview

The stock analysis agent is an AI-powered investment recommendation system built with LangGraph and Streamlit. It analyzes stock data and news to provide investment recommendations.

Features

• 📊 Real-time stock data from Yahoo Finance
• 📰 Latest news articles via Serper API
• 🤖 AI-powered investment recommendations (BUY/HOLD/SELL)
• 🚀 Parallel processing for faster analysis
• 💡 Clean, lightweight Streamlit UI

Setup

1. Install dependencies:

   pip install -r requirements.txt

2. Set up environment variables: Create a .env file in the project root with:

   OPENAI_API_KEY=your_openai_api_key_here
   SERPER_API_KEY=your_serper_api_key_here
   

   • Get OpenAI API key from: https://platform.openai.com/api-keys
   • Get Serper API key from: https://serper.dev

Running the Application

Option 1: Streamlit App (Recommended)

cd stock_analysis
streamlit run streamlit_app.py

Option 2: Jupyter Notebook

cd stock_analysis
jupyter notebook stock_analysis.ipynb

How It Works

The agent uses LangGraph with three nodes that run in parallel:

1. Yahoo Finance Node (get_stock_data):

   • Fetches historical stock data (1 year)
   • Calculates key metrics (price, moving averages, volume, P/E ratio, etc.)
   • Provides technical indicators

2. Serper News Node (get_stock_news):

   • Fetches top 10 recent news articles about the stock
   • Extracts titles, summaries, sources, and links
   • Captures market sentiment

3. Analysis Node (analyze_investment_decision):

   • Combines stock data and news
   • Uses GPT-4o-mini to analyze and provide:
     • Summary of key findings
     • Risk assessment
     • Investment recommendation (BUY/HOLD/SELL)
     • Reasoning and key factors to monitor

Usage

1. Open the Streamlit app in your browser
2. Enter a stock ticker symbol (e.g., AAPL, MSFT, GOOGL)
3. Click "Analyze Stock"
4. View the results:
   • Stock data with key metrics
   • Recent news articles
   • AI-generated investment recommendation

Example Tickers

• AAPL - Apple Inc.
• MSFT - Microsoft Corporation
• GOOGL - Alphabet Inc.
• TSLA - Tesla Inc.
• AMZN - Amazon.com Inc.

Notes

• The analysis is for informational purposes only
• Always do your own research before making investment decisions
• API rate limits may apply based on your subscription plans