Signal-Driven#007

Social Sentiment Signal

You collect the mood of social platforms (X, Reddit, Truth Social, Telegram) around topics tied to specific markets, score whether the chatter is turning bullish or bearish, and trade when that sentiment clearly disagrees with the current market price. The bet is that a real shift in public opinion shows up in posts before it shows up fully in the price. Spam and bot filtering matter a lot, since fake activity can fake out the signal.

What you need to run it

Streaming social data pipeline with dedupe and spam filters
Sentiment model (LLM or fine-tuned classifier) tuned per topic
Backtested threshold for when to act on a sentiment shift

Where this applies

Markets on Polymarket where social sentiment signal is the natural play:

Will Dogecoin close above $0.40 on December 31, 2026?
Will Trump fire Jerome Powell before 2027?
Will a US government shutdown happen in October 2026?

Capabilities this demands

Feed ingestionModel / quantCustom code / API

At a glance

CategorySignal-Driven

Requirements3

CapabilitiesFeed ingestion, Model / quant, 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.