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Welcome to the Interactive Stock Dashboard! This Streamlit-based project provides a user-friendly interface for stock analysis. Input a stock ticker and date range to visualize historical prices, analyze performance metrics, access fundamental financial data, and read the latest stock news. Perfect for traders and investors!

License: MIT License

Python 100.00%

stock-dashboard's Introduction

Stock-Dashboard

Welcome to the Interactive Stock Dashboard! This Streamlit-based project provides a user-friendly interface for stock analysis. Input a stock ticker and date range to visualize historical prices, analyze performance metrics, access fundamental financial data, and read the latest stock news. Perfect for traders and investors!

Title: Interactive Stock Dashboard with Streamlit

This project is an advanced Stock Dashboard built using Streamlit, aimed at providing a highly interactive and user-friendly platform for stock analysis. Users can input a stock ticker and specify a date range to visualize the stock's historical pricing data, analyze performance metrics, access fundamental financial data, and read the latest news related to the stock.

Key Features:

User-Friendly Input:

Sidebar fields for stock ticker and date range input. Utilizes Streamlit’s session state to remember selected dates. Stock Data Visualization:

Downloads historical stock data from Yahoo Finance. Interactive line chart displaying the stock's adjusted closing prices using Plotly. Performance Metrics:

Calculates annual return, standard deviation, and risk-adjusted return. Provides a detailed performance analysis of the stock. Fundamental Data Access:

Retrieves and displays the balance sheet, income statement, and cash flow statement using Alpha Vantage API. Latest News Integration:

Fetches top 10 news articles related to the stock from StockNews API. Displays publication date, title, summary, and sentiment analysis (if available). Robust Error Handling:

Gracefully handles errors during data download and provides user feedback.

Technologies Used:

Streamlit: For building the interactive web app.

Pandas and NumPy: For data manipulation and calculations.

Yahoo Finance API: For historical stock data.

Plotly: For interactive charts.

Alpha Vantage API: For financial data.

StockNews API: For latest stock news.

This project leverages multiple APIs to create a robust tool for traders, investors, and analysts, making stock analysis accessible and engaging.

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