Stock Analysis Web Application

This repository contains the code for a web application that allows you to analyze stock data. You can access the live app here: Stock Analysis Web App <--

Overview

This project is a web application built with Python and Streamlit for analyzing stock data. It provides a user-friendly interface for retrieving a wide range of information about a given stock, including financial metrics, historical performance, sentiment analysis of news headlines, and more.

Features

• Stock Data Analysis: Enter a stock ticker symbol and date range to analyze a stock's performance, financial metrics, and more.

• Interactive Charts: Visualize historical stock performance using interactive line charts.

• Financial Metrics: Get key financial metrics such as market capitalization, P/E ratio, dividend yield, sector, and industry.

• Sentiment Analysis: Analyze sentiment scores for the stock based on news headlines.

• Major Holders: Explore a bar chart showing major institutional holders of the stock.

• Recent News: View the latest news headlines related to the stock.

Usage

1. Clone the repository to your local machine.

2. Install the required Python libraries using pip install -r requirements.txt.

3. Run the Streamlit app using streamlit run stock_analysis.py.

4. Enter a stock ticker symbol and date range in the input fields and click "Go" to analyze the stock.

Dependencies

• Streamlit: for creating the web application.
• yfinance: for fetching stock data and news headlines.
• Plotly Express: for generating interactive charts.
• vaderSentiment: for performing sentiment analysis.
• pandas: for data manipulation.