Signal-Driven#082

Prediction-Market Comment Bot-Swarm Detection

Detect coordinated influence campaigns — synchronized posting, clusters of bot accounts, planted narratives across Telegram, X, and Polymarket comments — that artificially push a market in one direction, then bet against the move, since these inorganic spikes tend to reverse once the campaign ends. The edge is telling fake, manufactured sentiment apart from real information and fading it.

What you need to run it

Multi-platform social scraping with account-graph clustering
Coordination/bot-detection model (timing, content similarity, account age)
Historical mapping of detected campaigns to post-campaign reversion
Risk controls sizing against genuinely-informed minority signals

Where this applies

Markets on Polymarket where prediction-market comment bot-swarm detection is the natural play:

Will memecoin $X 10x by the end of Q4 2026?
Will [fringe candidate] win the nomination?
Will [geopolitical actor] invade [target] before mid-2027?

Capabilities this demands

Model / quantFeed ingestionRisk managementCustom code / API

At a glance

CategorySignal-Driven

Requirements4

CapabilitiesModel / quant, Feed ingestion, Risk management, 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 (147 strategies) or the data resources directory.