Russia Consumer Spending

Russia · Quarterly series · EC-RU-CS

Latest, Q2 2026

20.22T RUB

+4.3% from Q1 2026

Open interactive chartRussia Consumer Spending in the app

24.6T13.57T2.547TQ1 2003Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 20.25T RUB, with an 80% interval of 16.56T RUB to 23.62T RUB.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202621.07T RUB19.69T RUB22.71T RUB
Q4 202621.35T RUB18.71T RUB24.60T RUB
Q1 202720.01T RUB18.57T RUB21.43T RUB
Q2 202720.25T RUB16.56T RUB23.62T RUB

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
+27%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
88%Beats a coin flip (28 of 32 calls right in 8 tests)
Turning points
12 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
27% lowerError ratio 0.73; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
75%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

It is above 95% of the 39 earlier readings since Q3 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
Q2 202620.22T RUB
Q1 202619.39T RUB
Q4 202520.72T RUB
Q3 202520.30T RUB
Q2 202518.96T RUB
Q1 202518.38T RUB
Q4 202419.81T RUB
Q3 202419.42T RUB
Q2 202418.36T RUB
Q1 202417.52T RUB
Q4 202318.72T RUB
Q3 202318.15T RUB
Q2 202316.66T RUB
Q1 202316.04T RUB
Q4 202217.20T RUB
Q3 202212.88T RUB
Q2 202211.79T RUB
Q1 202212.54T RUB
Q4 202113.80T RUB
Q3 202113.27T RUB
Q2 202112.47T RUB
Q1 202112.00T RUB
Q4 202012.88T RUB
Q3 202012.11T RUB

Source

Data: public market data feeds.

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