Upper bound of the target federal funds rate be 4.0% at the end of 2026 priced at 19.9% on Polymarket, up 3.1 points, on $1.4M traded

Polymarket’s contract for the upper bound of the target federal funds rate to finish 2026 at 4.0% was priced at 19.9%, up 3.1 probability points, with $1.4M traded in the Oct. 29 update. According to PredictionBubbles, the contract appeared among the upward movers in its finance category.

A rise in pricing, not a policy signal

The change reflects a higher market-implied probability for that specific year-end rate outcome over the preceding 24 hours. It does not, by itself, establish why traders changed their positions or indicate that monetary policy has changed.

The supplied summary identifies the contract in an Oct. 29, 17:09 UTC crawl. The accompanying PredictionBubbles page carries a later refresh timestamp of 29 Oct 2026, 17:12 UTC. Those are separate snapshot times; the supplied page text does not reproduce the contract’s individual listing.

How the move is measured

According to PredictionBubbles, its movers board draws prices from Polymarket and Kalshi every 15 minutes and ranks changes by probability points rather than relative percentages. The 3.1-point increase therefore describes the shift in the contract’s implied probability, not a 3.1% relative gain.

The board ranks 1,995 markets with durations longer than 14 days and requires a valid 24-hour price comparison. Trading volume provides context but does not affect the movement ranking. The supplied material does not specify the measurement period for the contract’s $1.4M traded figure or provide its order-book depth.

What it means for prediction markets

• The outcome gained ground but remains below 50%. A 19.9% price signals increased market weight on a 4.0% year-end upper bound, not a majority-probability outcome.
• This is one rate outcome, not the full distribution. Without prices for the other year-end rate contracts, the move cannot establish a broader shift toward higher or lower rates.
• Volume and liquidity are different measures. The $1.4M traded figure adds context, but the supplied data do not show how much trading accompanied the repricing or how deep the market was.