Signal-Driven#080

Polymarket Comment-Section Sentiment Edge

Scrape Polymarket's own per-market comment threads and trader-activity feed, then run text analysis to detect when informed holders shift conviction, when a coordinated narrative is being pushed, or when holders capitulate — signals that tend to precede the price move inside that same market. The edge is that this native sentiment surface is unique to the platform and almost nobody mines it systematically.

What you need to run it

Polymarket comment + activity API/scraper with per-market history
Sentiment + conviction-scoring model tuned on resolved-market outcomes
Linkage of commenter wallet history to credibility weighting
Execution logic triggered on sentiment-vs-price divergence

Where this applies

Markets on Polymarket where polymarket comment-section sentiment edge is the natural play:

Will the Fed cut rates at the next FOMC meeting?
Will [candidate] win their party's nomination?
Will Bitcoin close above $150k on Dec 31, 2026?

Capabilities this demands

Custom code / APIModel / quantOn-chain / walletData ingestion

At a glance

CategorySignal-Driven

Requirements4

CapabilitiesCustom code / API, Model / quant, On-chain / wallet, Data ingestion

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 (147 strategies) or the data resources directory.