Intent guide · polydata.pro

Polymarket market movers — largest odds shifts, research view

See which open Polymarket books moved the most in implied Yes over the last day, then open the live movers board for 1h / 24h / 7d. Not trade signals — investigation only.

Why odds moves matter

When implied Yes jumps or collapses, attention and capital are repricing a book. A movers board is not a signal to chase that move — it is a map of where probability changed the most among liquid open markets. Polydata ranks by Δpp (percentage points), not by volume alone, so a quiet high-liquidity book that shifted 8pp still surfaces.

Gainers = largest +Δpp in Yes. Losers = largest −Δpp. Reference prices use Yes-side (token1) fills near the window start; markets without a usable reference are omitted.

Live sample · 24h gainers

Categories and other surfaces

Live movers support category filters (politics, crypto, sports, weather) so one vertical does not drown the board. Volume-ranked research hubs live at /markets/politics, crypto, and sports. Pair with the whale feed, screener, and research watchlist. Polydata never routes orders.

FAQ

What are Polymarket market movers?

A ranked list of open, liquid markets with the largest change in implied Yes probability over 1h, 24h, or 7d. Gainers rose in Yes%; losers fell. Research snapshot — not a buy/sell signal.

What does Yes% and Δpp mean?

Yes% is the current implied probability that Yes pays $1. Δpp is the change in that probability in percentage points versus a Yes-side reference fill near the window start.

Why only liquid markets?

Polydata filters to window volume ≥ $5k and drops near-certain books so thin or settlement dust does not dominate the ranking.

Where is the live board?

Open /movers for live Gainers and Losers with period tabs. This page explains the research view; the live board refreshes from Polydata’s indexed tape.

Is this financial advice?

No. Polydata is research-only and never executes trades. Pair movers with whale feed and market overview before drawing conclusions.

Related: Polymarket analytics · Methodology · Oracle · Stats