Russia Core Consumer Prices

Russia · Monthly series · EC-RU-CCP

Latest, September 2026

100.5 pts

+0.2% from August 2026

Open interactive chartRussia Core Consumer Prices in the app

118.1105.192.06September 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 100.6 pts, with an 80% interval of 92.1 pts to 116.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026100.5 pts100.3 pts100.6 pts
November 2026100.5 pts100.3 pts100.9 pts
December 2026100.5 pts100.3 pts101.8 pts
January 2027100.5 pts100.2 pts103.3 pts
February 2027100.5 pts100.2 pts105.1 pts
March 2027100.5 pts99.4 pts107.3 pts
April 2027100.6 pts98.4 pts109.3 pts
May 2027100.6 pts97.2 pts111.2 pts
June 2027100.6 pts96.0 pts113.0 pts
July 2027100.6 pts95.1 pts114.5 pts
August 2027100.6 pts93.9 pts115.8 pts
September 2027100.6 pts92.1 pts116.4 pts

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

AI confidence

Not evaluated

The serving model has no matching evaluation yet.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

Model comparison

Comparison not readyA forecast and enough history for rolling backtests are required.

Reading

It is above 53% of the 118 earlier readings since October 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
September 2026100.5 pts
August 2026100.3 pts
July 2026100.4 pts
June 2026100.5 pts
May 2026100.5 pts
April 2026100.2 pts
March 2026100.5 pts
February 2026100.5 pts
January 2026101.0 pts
December 2025100.4 pts
November 2025110.7 pts
October 2025110.4 pts
September 2025110.2 pts
August 2025118.1 pts
July 2025109.7 pts
June 2025109.4 pts
May 2025109.9 pts
April 2025110.0 pts
March 2025110.3 pts
February 2025110.1 pts
January 2025110.0 pts
December 2024109.4 pts
November 2024109.4 pts
October 2024109.2 pts

Source

Data: public market data feeds.

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