StockSight

Your insightful stock analysis tool. Empowering informed investment decisions.

Table of Contents

• Introduction
• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Configuration
• Contributing
  • Code of Conduct
• License
• Support
• Roadmap
• Credits

Introduction

StockSight is a personal project designed to provide insightful stock analysis and visualizations. It helps users make informed decisions by presenting key financial data in an easy-to-understand format. This project aims to simplify the stock analysis process for individual investors, offering real-time data and analytical tools in a user-friendly interface.

Features

• Real-time Stock Quotes: Get up-to-the-minute stock prices for your favorite stocks.
• Historical Data: Access historical stock data, allowing you to analyze past performance and trends.
• Interactive Charts: Visualize stock performance with interactive charts, including candlestick charts and moving averages.
• Key Financial Metrics: Display key financial metrics like P/E ratio, EPS, Dividend Yield, and more, providing a comprehensive view of a company's financial health.
• Customizable Dashboard: Tailor the dashboard to display the data you care about most, creating a personalized stock analysis experience.
• News Integration: Stay informed with the latest news related to your stocks, ensuring you never miss important market updates.
• Alerts and Notifications: Set up custom alerts for price movements or news events, so you can react quickly to market changes.

Getting Started

This section will guide you through setting up StockSight on your local machine.

Prerequisites

Before you begin, ensure you have the following installed:

• Node.js (version 14 or higher)
• npm (Node Package Manager, usually comes with Node.js)
• A valid API key from a financial data provider (e.g., Alpha Vantage, IEX Cloud). You'll need to create an account and obtain an API key.

Installation

1. Clone the repository:

   API_KEY=YOUR_API_KEY 5. Access the Dashboard: Open your web browser and navigate to the application URL (http://localhost:3000 by default).

2. Enter Stock Symbol: Use the search bar to enter a stock symbol (e.g., AAPL for Apple, TSLA for Tesla).

3. View Stock Data: The dashboard will display real-time quotes, historical data, and key financial metrics for the selected stock.

4. Interact with Charts: Use the interactive charts to analyze trends and patterns in the stock's performance. You can zoom in, zoom out, and select different time periods.

5. Set up Alerts: Navigate to the alerts section and configure alerts based on price thresholds or news events.

6. Customize your Dashboard: Add or remove widgets to personalize your StockSight dashboard.

Example: To view Apple's stock data, simply enter 'AAPL' in the search bar and press Enter. The dashboard will then populate with relevant information about Apple's stock.

Configuration

StockSight can be configured via environment variables. The following environment variables are supported:

• API_KEY: Your API key from a financial data provider.
• PORT: The port on which the application will run (default: 3000).
• API_PROVIDER: The name of the API provider (e.g., 'Alpha Vantage', 'IEX Cloud').

To configure these variables, you can either set them directly in your terminal or add them to your .env file.

bash git clone https://github.com/your-username/StockSight.git cd StockSight 3. Create a new branch for your feature or bug fix:

bash
git push origin feature/your-feature-name
> Please adhere to the following guidelines:

• Follow the existing code style (use ESLint and Prettier).
• Write clear and concise commit messages.
• Include tests for new features or bug fixes.
• Document your code thoroughly.
• Ensure your code builds successfully and passes all tests before submitting a pull request.

Code of Conduct

Please read and follow our Code of Conduct. We expect all contributors to be respectful and considerate of others.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any issues or have questions, please open an issue on GitHub. Please provide as much detail as possible about the issue you are experiencing, including steps to reproduce the issue.

Roadmap

• Implement more advanced charting options.
• Add support for multiple financial data providers.
• Develop a mobile app for iOS and Android.
• Incorporate machine learning algorithms for stock prediction.
• Enhance the user interface and user experience.

Credits

Acknowledge any libraries, frameworks, or individuals who contributed to the project. For example:

• This project uses the Alpha Vantage API for financial data.
• Thanks to [Contributor Name] for their valuable contributions to the codebase.