Iceland Consumer Price Index

Iceland · Monthly series · EC-IS-CPI

Latest, October 2026

700.4 pts

+0.4% from September 2026

Open interactive chartIceland Consumer Price Index in the app

752.2594.4436.5November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 730.4 pts, with an 80% interval of 710.4 pts to 752.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026704.2 pts698.6 pts710.1 pts
December 2026706.4 pts701.8 pts711.7 pts
January 2027708.7 pts696.5 pts722.0 pts
February 2027711.3 pts703.8 pts719.4 pts
March 2027714.3 pts707.6 pts722.2 pts
April 2027716.9 pts708.8 pts725.5 pts
May 2027718.8 pts709.4 pts728.9 pts
June 2027721.1 pts705.0 pts738.6 pts
July 2027723.6 pts710.2 pts738.6 pts
August 2027725.8 pts708.8 pts744.0 pts
September 2027728.4 pts714.2 pts743.5 pts
October 2027730.4 pts710.4 pts752.2 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+62%Beats the no-change baseline over 12 tests (12 tests, 12 won)
Direction
92%Beats a coin flip (132 of 144 calls right in 12 tests)
Turning points
0 of 37Anticipated no turn, as the no-change baseline does (37 turns in 12 tests, 2 without a turn)
Error vs baseline
62% lowerError ratio 0.38; 1.00 is a tie.
Tests won
12 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
83%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

That is the highest of the 120 readings since November 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
October 2026700.4 pts
September 2026697.3 pts
August 2026694.6 pts
July 2026693.2 pts
June 2026690.7 pts
May 2026684.3 pts
April 2026683.8 pts
March 2026678.3 pts
February 2026674.6 pts
January 2026668.3 pts
December 2025665.8 pts
November 2025658.2 pts
October 2025661.4 pts
September 2025658.3 pts
August 2025657.6 pts
July 2025658.6 pts
June 2025656.5 pts
May 2025651.0 pts
April 2025649.7 pts
March 2025643.7 pts
February 2025641.3 pts
January 2025635.5 pts
December 2024637.2 pts
November 2024634.7 pts

Source

Data: public market data feeds.

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