Korrma

Korrma is the ultimate risk-free stock and crypto trading simulator, designed for beginners and experienced traders alike. Users start with a virtual portfolio of $100,000 and trade in real-market conditions without risking real money. The app delivers real-time stock quotes and market data for informed decisions, portfolio performance tracking to refine strategies, fundamental analysis insights for valuing stocks, and comprehensive company information. Korrma combines gamified mechanics leagues, global leaderboards, and competitive rankings with deep financial modeling. As an educational simulation app, it involves no real trades or money, making it the go-to tool for mastering the stock market in a secure, virtual setting.

The engineering core had to solve for 'High-Frequency Data Ingestion.' Processing thousands of global stock and crypto price updates per second and pushing those updates to thousands of concurrent mobile clients without causing UI stutter or excessive battery drain was non-trivial. Additionally, the system had to calculate real-time portfolio valuations and leaderboard rankings with absolute mathematical precision.

We architected an event-driven system using Django and PostgreSQL, optimized with materialized views for fast leaderboard calculations. We implemented a WebSocket-based streaming layer to push live price feeds directly to a reactive Flutter frontend. To handle the computational load of trade matching, we developed a custom asynchronous processing engine in Python, containerized with Docker.

Built with

1. 01Sub-second trade execution and portfolio re-valuation
2. 02Virtual $100,000 portfolio with real-market conditions for risk-free learning
3. 03Zero-latency live price streaming for 100+ global stock and 1000+ crypto tickers
4. 04Fundamental analysis and company insights to support informed trading decisions
5. 05High user retention achieved through leagues and a dynamically updated global ranking system