Real-Time Stock Tracker 📈

Overview

Welcome to the Real-Time Stock Tracker, a C# application designed to track and visualize real-time stock data! This project leverages modern DevOps practices, including containerization with Docker, CI/CD pipelines, and cloud monitoring with Prometheus & Grafana. With integrated stock analysis tools, users can follow stock prices, set alerts, and stay updated with relevant news in real-time.

Features:

• 📊 Real-Time Data: Fetches live stock prices using financial APIs like Alpha Vantage or IEX Cloud.
• 📈 Technical Indicators: Visualizes technical analysis tools such as Moving Averages and RSI.
• 🔔 Price Alerts: Set price alerts and receive notifications when thresholds are hit.
• 📰 Stock News: Displays up-to-date news articles related to tracked stocks.
• 💼 Portfolio Management: Track and compare multiple stocks simultaneously in a personalized portfolio.
• ⚙️ DevOps Integration: Fully containerized with Docker for easy deployment.
• 🚀 CI/CD Automation: Automates build, test, and deployment processes using GitHub Actions.
• 📈 Monitoring & Visualization: Monitors performance metrics using Prometheus and Grafana dashboards.

Tech Stack:

• C#/.NET Core: For building the application backend and data processing.
• LiveCharts/OxyPlot: For real-time data visualization.
• Alpha Vantage/IEX Cloud: API for fetching stock data.
• SQLite/SQL Server: Database for storing historical stock data.
• Docker: Containerization for consistent application environments.
• Prometheus & Grafana: Monitoring and metrics visualization.

Getting Started:

Prerequisites:

• .NET Core SDK 8.0
• Docker (optional, for containerized deployment)
• Git for version control

Clone the Repo:

bash

git clone https://github.com/yourusername/Real-Time-Stock-Tracker.git cd Real-Time-Stock-Tracker

Run the Application:

1. Install dependencies:

bash

dotnet restore

2. Build and run the project:

bash

dotnet run

3. Access the application at http://localhost:5000.

Docker Setup:

1. Build Docker Image:

bash

docker build -t stock-tracker .

2. Run the Container:

`bash

docker run -d -p 5000:80 stock-tracker

Contributing:

Feel free to fork this repository, create a new branch, and submit a pull request with any improvements or new features.

License:

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

Happy tracking! 👨‍💻