Market research system
Polymarket OPP + RL Stack
A research pipeline with its decisions on record.
PROJECT SCREENTHE PROJECT
Event ingestion, enrichment, model scoring and paper-execution boundaries across two services.
The engineering work connects a streaming event pipeline to enrichment, an LLM research stage and a Python reinforcement-learning scorer. Signal and risk gates sit between scoring and a paper executor, with reconciliation and settlement evidence retained alongside decisions. It demonstrates system plumbing and measurement rather than a profitable trading strategy.
- Streaming events and staged candidate filtering
- Separate TypeScript pipeline and Python scorer
- Paper execution, reconciliation and evidence trails
Research project. The supplied architecture image contains historical measurements; the documented strategy recommendation is no_deploy.
THE INTERFACE
A closer look.
UNDER THE SURFACE
How it fits together.
The event-processing service calls a separate scoring service. Explicit signal and risk checks decide whether a candidate reaches the paper-execution path.
Swipe or scroll the diagram to inspect it. The components are also listed below.
- 01Event intake
WebSocket trade events
- 02Enrichment & pre-gate
Quotes, history and filters
- 03LLM research
Source-informed judgment
- 04Python RL scorer
Policy and value estimates
- 05Signal & risk gates
Candidate admission
- 06Paper & evidence
Reconcile and document
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