CPI YoY in November
DataSnack has a model of this question but not yet enough data to forecast it; the market's number (Kalshi) is 3.65% (7 Nov 2026). It has no graded forecasts yet; the first is graded on 12 Nov 2026.
DataSnack's read
November CPI is the first clean annual reading; energy sets how high
The December 10 print is the first clean yearly reading after the shutdown gap and follows the December 9 Fed decision. The model's case rests on no CPI print landing before then, so the implied rate of 3.77% should hold.
The numbers
- The market's number (Kalshi) now: 3.65% (the market)
- DataSnack's model: not enough data to forecast yet
- The market closes: 10 Dec 2026
- How it resolves: If the Consumer Price Index (CPI) increases by more than 3.0% in the twelve months ending November 2026 (as represented by the one-decimal place value reported by the Bureau of Labor Statistics), then the market resolves to Yes.
- Record: It has no graded forecasts yet; the first is graded on 12 Nov 2026.
- Fitted on 1 days of history
How the model works
No CPI print lands before the horizon, so the ladder's implied annual rate should mostly stay put. Energy is lifting headline inflation while core runs lower.
- The market's implied annual rate carries about 0 of its latest move forward over the next week, so with no new CPI print it mostly stays where it is. DataSnack's estimate, not yet tested on data.
Sources
- CPI YoY in November (the market's number): 3.65% on 10 Nov 2026
The record
It has no graded forecasts yet; the first is graded on 12 Nov 2026.
Waiting for their day:
- Made 5 Nov 2026 for 12 Nov 2026: 3.77%
- Made 6 Nov 2026 for 13 Nov 2026: 3.78%
- Made 7 Nov 2026 for 14 Nov 2026: 3.76%
- Made 8 Nov 2026 for 15 Nov 2026: 3.78%
- Made 9 Nov 2026 for 16 Nov 2026: 3.77%
- Made 10 Nov 2026 for 17 Nov 2026: 3.66%
Questions
What is DataSnack's forecast? There isn't one yet: the model doesn't have enough data.
What is the market's number? The market's number (Kalshi) is 3.65%.
How does the model work? It is an explicit equation fitted on data, with every link and source listed above. DataSnack's agents propose changes every night, and a replay against real data decides what is kept.
How accurate has it been? It has no graded forecasts yet; the first is graded on 12 Nov 2026. DataSnack's overall record is at https://datasnack.ai/accuracy.
Can I download the model? Readers who cover this market can export the model as an Excel workbook with working formulas from its page. A free example workbook: https://datasnack.ai/site/labs/datasnack-tariff-mortgage-lab.xlsx.
Canonical: https://datasnack.ai/m/ch:fde17a59bc0e · Updated 7 Nov 2026 09:45 UTC · DataSnack forecasts are analysis, not investment advice.