Back to all projects
SystemsBackendFinTechReal-Timecompleted
NanoTrade
Real-time paper trading platform with custom matching engine.
01 · The Problem & Hypothesis
Why this needed to be built
Most trading demos are simple database dashboards that fail to simulate realistic order-book mechanics, execution latency, queue matching, and portfolio state reconciliation.
The Core Idea
Understand what happens underneath a real trading interface by building an event-driven paper trading platform powered by a custom matching engine.
02 · Technical Implementation
How the system was architected
Engineered to explore low-latency systems programming, asynchronous job queues, and real-time client communication. The architecture pairs a high-performance matching engine with FastAPI web services, Redis task queues, and WebSockets for live price and execution streaming.
C++ Matching Engine
Python
FastAPI
Redis
Celery
Supabase / PostgreSQL
WebSockets
TypeScript
03 · Key Takeaways Earned
Takeaway 01
“Deterministic event ordering and idempotent queues prevent race conditions in financial state machines.”
Takeaway 02
“Low-level systems understanding gives clarity on where web backend bottlenecks truly originate.”