TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 25, 12:55 AM EST
Kalshi
This event tracks the relative inflation performance between Japan and Singapore for the month of July 2026. It will resolve based on the first official, non-preliminary inflation rate reports for both countries, comparing their year-over-year percentage changes.
If Japan Inflation Rate YoY is above Singapore Inflation Rate YoY for July 2026, then the market resolves to Yes.
Compared to traditional analyst forecasts, prediction market odds for this market often reflect a more immediate, crowd-sourced outlook. While analysts may weigh long-term economic indicators, traders on Kalshi react to fresh data releases, policy rumors, and short-term market sentiment. This can lead to notable differences in implied probabilities versus consensus forecasts from major financial institutions.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through continuous bidding and asking, with the current top outcome reflecting the majority view. The odds adjust dynamically based on new economic data, central bank statements, and currency movements affecting both countries. This decentralized pricing mechanism captures a broad range of market participant expectations.
This market resolves around Aug 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Official statistics releases from Japan and Singapore’s statistical agencies will determine whether Japan’s inflation rate for July is higher than Singapore’s, settling this market based on publicly available data.
Key signals that could shift this market include monthly consumer price index releases from both countries, surprise policy moves by central banks, changes in commodity prices that affect import costs, and shifts in currency exchange rates. Any data beat or miss, combined with regional economic commentary, is likely to create volatility as traders reassess the odds.