Design and build an event-driven trading system architecture with message queues, state management, risk services and replayable simulations shared between research and paper trading.
Duration8 weeks
LevelAdvanced
Modules8
Lessons32
This course treats a trading platform as a distributed software system. You will design event schemas, message flows between market data, strategy, risk, order management and portfolio services, and implement them in Python with queues and streaming tools. The course stresses determinism, replay, fault handling and observability so the same code paths can run in historical simulation and paper trading.
8 modules · 32 lessons · 8 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Design an event catalog and service diagram for a multi-strategy trading platform
Implement an order management service with state transitions and idempotent handling
Build a replay harness that runs historical events through the full service pipeline
Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.
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