A comprehensive big data solution for processing and visualizing financial market data in real-time. Built with modern technologies including Apache Kafka, Spark, React, and TimescaleDB.
A enterprise-grade real-time financial data processing and analytics platform
Kafka-powered streaming architecture processes thousands of stock price updates per second with guaranteed delivery and fault tolerance.
React-based frontend with live WebSocket updates, interactive charts, and responsive design for monitoring market data in real-time.
TimescaleDB optimized for high-frequency financial data with automatic partitioning and efficient compression.
Apache Spark handles complex analytics including technical indicators, anomaly detection, and market sentiment analysis.
Docker Compose orchestrates all services with proper networking, volumes, and health checks for production deployment.
Comprehensive monitoring with Prometheus metrics, Grafana dashboards, and custom alerts for system health.
Scalable microservices architecture designed for high availability and performance
Enterprise-grade capabilities that demonstrate advanced software engineering skills
Experience the real-time financial analytics platform in action
Clone the repository and run the complete platform locally in just a few minutes:
git clone https://github.com/Gunjan-D/realtime-financial-analytics.git
cd realtime-financial-analytics
./setup.shModern, industry-standard technologies and frameworks
Run the complete platform locally in under 5 minutes
Install Docker and Docker Compose
# Check installation
docker --version
docker-compose --version
Get the source code from GitHub
git clone https://github.com/Gunjan-D/realtime-financial-analytics.git
cd realtime-financial-analytics
Set up your environment variables
cp .env.example .env
# Edit .env with your API keys (optional for demo)
Launch the complete platform
# Windows
.\setup.ps1
# Linux/Mac
./setup.sh