Stock Analysis

A user-friendly application that provides real-time stock data, investment suggestions, and visualizes stock trends to help users make informed decisions.

Features

• Real-Time Stock Data: Displays current price, 52-week high, and 52-week low for any stock.
• Investment Suggestions: Recommends long- or short-term strategies based on stock performance.
• Trend Visualization: Plots a 6-month price trend graph for easy analysis.

How It Works

1. Enter the stock ticker (e.g., AAPL for Apple or AMZN for Amazon).
2. Fetch real-time data and visualize trends with a single click.
3. Get actionable insights with suggestions tailored to stock performance.

Technologies Used

• Libraries: yfinance, Matplotlib, Tkinter.

Features

• Real-time stock info (current price, 52-week high & low)
• 6-month trend graph for any stock
• Smart investment recommendations
• Minimalist Tkinter GUI
• Lightweight and fast

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Live Demo

🔹 AMZN Stock Analysis

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🔹 NVDA Stock Analysis

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🛠️ Built With

• Python 3.x
• yfinance
• Matplotlib
• Tkinter (Standard Python GUI)

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⚙️ How to Use

1. Clone the repository:

   git clone https://github.com/Shiv-61/Stock_analysis.git
   cd Stock_analysis
   
   

Setup

1. Clone the repository:

   git clone https://github.com/Shiv-61/Stock_analysis.git  

2. Install dependencies:

   pip install yfinance matplotlib  

3. Run the application:

   python stock_analyzer.py  

License

This project is licensed under the MIT License.