Signal-Driven#135

RAG Market-Scanner for Cold New Listings

A retrieval-augmented agent (an AI that looks up relevant facts on demand) watches for brand-new market listings and, within minutes, gathers the priors that matter, base rates, expert sources, and similar markets that already resolved, to price the new market before real trading volume shows up. The edge is being the first informed bettor on a fresh contract whose opening price was set by uninformed guessing.

What you need to run it

Real-time new-market listing detector
RAG index of base rates + analogous historical markets
Fast LLM pricing + initial position sizing
Inventory/risk limits for illiquid fresh markets

Where this applies

Markets on Polymarket where rag market-scanner for cold new listings is the natural play:

Will a newly-listed candidate win the next major national election to be added?
Will a just-listed token close above its launch price by year-end?
Will the freshly-listed 2026 Time Person of the Year market resolve to the early favorite?

Capabilities this demands

Model / quantData ingestionPatienceCustom code / API

At a glance

CategorySignal-Driven

Requirements4

CapabilitiesModel / quant, Data ingestion, Patience, Custom code / API

VenuePolymarket (CLOB, Polygon)

Build it

Related signal-driven strategies

This is documentation, not advice. Poly Research & Robotics publishes how these strategies work because the method should be checkable — not as a recommendation to trade them. See the full strategy database (297 strategies) or the data feeds directory.