Concurrent Engine
Quantitative Trading Bot
Concurrent algorithmic engine using WebSockets for low-latency order execution and automated risk management.
01 · Context
The starting point
Automated trading system built to process order books and evaluate quantitative triggers in real time.
02 · Challenge
What needed solving
Processing high-frequency market tick bursts without blocking the execution thread or generating duplicate orders during high volatility.
03 · Approach
How it was engineered
Combines persistent WebSocket streams, Go concurrency, and Python quantitative models with automated risk rules.
04 · Outcome
What it enables today
Precise order execution with strict drawdown control and real-time market visualization.
Technologies & Architecture
- Go
- Python
- WebSockets
- Concurrency