Structural#133

LLM-Curated Stale-Quote Sweeper

An AI continuously summarizes the latest real-world facts for each market it tracks and spots resting limit orders that have gone stale, the trader behind them hasn't updated their price after fresh news. A fast executor grabs those mispriced orders before they get cancelled. The edge combines understanding when an order is out of date with the speed to take it.

What you need to run it

Live order-book + cancel-rate monitoring
LLM event-state tracker per market
Sub-second take execution with mispricing threshold
News timestamp vs order-age correlation logic

Where this applies

Markets on Polymarket where llm-curated stale-quote sweeper is the natural play:

Will the ECB cut rates at its next meeting?
Will Russia's current president still be in power at the end of 2027?
Will Anthropic release a Claude model it labels a new generation before the end of 2027?

Capabilities this demands

Low latencyModel / quantFeed ingestionOn-chain / wallet

At a glance

CategoryStructural

Requirements4

CapabilitiesLow latency, Model / quant, Feed ingestion, On-chain / wallet

VenuePolymarket (CLOB, Polygon)

Build it

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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 (147 strategies) or the data resources directory.