Trading Pit is a stock simulator app built with a microservices architecture using Docker and Kubernetes for containerization and orchestration. It offers real-time market data and customizable portfolios, allowing users to practice trading and gain insights into market performance. The simulator can offer various features, such as customizable portfolios, real-time news updates, and analytics dashboards that show users their trading performance over time. The app is ideal for both novice and experienced traders.
- Docker and Kubernetes for containerization and orchestration
- GitHub for version control and collaboration
- ReactJS for building the app's frontend
- Firebase for authentication, real-time database, and push notifications
- Google Cloud AMD Instances for AI model training.
Clone the project
git clone https://github.com/sasikiran20/stocksimulator.gitGo to the project directory
cd stock-trading-appInstall Docker and Kubernetes. You can follow the official documentation to install Docker and Kubernetes on your local machine.
Create a Firebase project and obtain the configuration keys:
- Go to the Firebase console
- Create a new project and follow the instructions to add Firebase to your app
- In the Firebase console, go to "Project settings" and click on the "Service accounts" tab
- Click on "Generate new private key" and download the JSON file
- Rename the JSON file to firebase-config.json and copy it to the backend folder of the app.
Build the Docker images and run the containers:
docker-compose build
docker-compose upAccess the app on http://localhost:8080
To stop the app, use the following command:
docker-compose down Run the Docker image in a container
docker pull sasikirannallapu/kltrades
docker run -p 80:443 sasikirannallapu/kltrades- Light/dark mode toggle
- Live preview
- Fullscreen mode
- Cross platform