June 2026 FOMC Meeting — Prediction Market Odds
Live Kalshi prediction market probabilities for cut, hold, or hike at the Jun 17–18, 2026 Federal Open Market Committee meeting. Bayesian model updates after every CPI, NFP, and PCE print.
Jun 17–18, 2026
No market data yetKalshi Fed rate market data will appear here once trading begins.
Bull / Bear Case
Jun 17–18, 2026- •Core CPI prints below 0.2% MoM — inflation clearly returning to target
- •NFP below 100K — labor market cooling, unemployment ticking up
- •GDP disappoints — growth slowing faster than Fed projected
- •Fed chair signals concern about employment in Beige Book/speeches
- •Core PCE remains above 2.5% — inflation re-acceleration risk
- •NFP above 200K — labor market too strong to justify easing
- •GDP beats — economy growing above potential, no slack
- •Dollar weakens or oil spikes — secondary inflation pressures mount
Cases update automatically as economic data prints. Bayesian model adjusts probabilities in real time.
Key Dates
What Will the Fed Do at the June 2026 FOMC Meeting?
The Jun 17–18, 2026 Federal Open Market Committee meeting is one of 8 scheduled FOMC meetings in 2026 where the Fed sets the federal funds rate target range. Prediction markets on Kalshi allow traders to bet on the outcome — cut 50bp, cut 25bp, hold, or hike 25bp — with each contract price reflecting the market-implied probability of that outcome.
Unlike opinion polls or analyst forecasts, prediction market prices are backed by real money. When a contract trades at 65¢, market participants are collectively saying there is a 65% probability of that rate decision. As new economic data arrives — CPI, NFP, PCE, GDP — the Bayesian model on this page quantifies how much each surprise should update that probability.
How to Trade the June 2026 FOMC Meeting
The best edge comes from correctly anticipating how upcoming indicator releases will shift the odds. Before a CPI print, ask: if inflation comes in hotter than consensus, how much should cut probability fall? The Bayesian model answers that question quantitatively. If Kalshi doesn't move as much as the model says it should, that divergence is the trade.