This project analyzes stock market trends using Yahoo Finance (yfinance) for data retrieval, Plotly for visualization, and AI agents powered by the phi framework to fetch real-time financial news and analyst recommendations.

The Stock Analysis Agent allows users to enter a stock ticker symbol and retrieve:

• Historical Stock Data (Last 6 months)
• Visualizations (Stock Prices, Candlestick Charts, Moving Averages, Volume Trends)
• AI-Powered Insights (Latest news & analyst recommendations via phi.agent)

This tool is useful for investors, traders, and financial analysts who want quick insights into stock performance and market trends.

• Fetches historical stock prices for the past 6 months using yfinance.
• Includes Open, High, Low, Close prices, and Trading Volume.

• Line Chart: Tracks stock price movement over time.
• Candlestick Chart: Represents daily stock price fluctuations.
• Moving Averages: Displays SMA (20-day) and EMA (20-day) to analyze trends.
• Trading Volume Chart: Shows buying and selling activity.

• Uses phi.agent with Groq models to fetch:
  Latest News Articles on the stock
  Analyst Recommendations (Buy/Sell/Hold Ratings)
• Searches the web using DuckDuckGo for real-time information.

• Programming Language: Python
• Libraries:
  • yfinance – Fetches stock market data
  • plotly – Creates interactive charts
  • pandas – Data manipulation
  • dotenv – Manages environment variables
  • phi.agent – AI-powered stock insights
  • Groq – Llama 3 AI model integration

git clone https://github.com/Or4cle404/Stock-Analysis-Agent.git cd Stock-Analysis-Agent

pip install -r requirements.txt

_{Create a .env file and add these keys in it.}

PHI_API_KEY = "API_KEY" GROQ_API_KEY = "API_KEY"

python stock_analysis.py

• Name: Ayushi Anand
• Email: aanandayushi04@gmail.com
• GitHub: https://github.com/Or4cle404