Live prediction market odds for CPI core month-over-month in May 2026?. Compare prices across Kalshi.
Join our Discord for breaking news alerts, driven by real-time movements in prediction markets.
Kalshi
2026-06-10
Exactly 0.3% leads the “CPI core month-over-month in May 2026” event at 39.0% implied probability. Other contenders include Exactly 0.4% (8.0%), Exactly -0.1% (3.0%), and Exactly -0.2% (2.0%). Platforms are tightly aligned at a 0.0% spread.
CPI core month-over-month in May 2026 is a prediction market event currently tracked across 1 platform (Kalshi). Exactly 0.3% leads at 39% implied probability, making it the market favorite. Other contenders include Exactly 0.4% at 8%, Exactly -0.1% at 3%, Exactly -0.2% at 2%.
Exactly 0.3% currently leads at 39% implied probability. Behind Exactly 0.3%, Exactly 0.4% at 8% and Exactly -0.1% at 3% and Exactly -0.2% at 2% are the next closest contenders. Platforms were tightly aligned at a 0.0% spread, suggesting broad consensus on the odds.
Here are the latest odds across Kalshi: Exactly 0.3%: 39¢ on Kalshi. Exactly 0.4%: 8¢ on Kalshi. Exactly -0.1%: 3¢ on Kalshi. Exactly -0.2%: 2¢ on Kalshi. Platforms are tightly aligned at a 0.0% spread, leaving little room for cross-platform arbitrage.
A price of 39¢ means the market estimates a 39% probability that Exactly 0.3% will be the outcome. Buying one share at 39¢ pays out $1.00 if correct — a 156% return — or $0 if wrong. This is the core mechanic of prediction markets: the price directly reflects the crowd's probability estimate.
Build a custom bot or arb alert system for the “CPI core month-over-month in May 2026?” event. All for free.
As seen on Financial Times, Guardian and Polymark.et
Used by builders and traders in our 3K+ Discord community
This market resolves based on official announcements from authoritative sources. Prediction Hunt aggregates odds across platforms but does not determine outcomes. Each platform maintains its own resolution criteria — check each platform's rules before trading.
Exactly 0.3%
39.0% avg
