Montenegro Consumer Spending

Montenegro · Quarterly series · EC-ME-CS

Latest, Q2 2026

1.71M EUR

+13.1% from Q1 2026

Open interactive chartMontenegro Consumer Spending in the app

2.076B1.018B-40.12MQ1 2011Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 20.17M EUR, with an 80% interval of -40.12M EUR to 2.08B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202630.86M EUR-18.01M EUR808.38M EUR
Q4 202623.52M EUR-7.17M EUR746.71M EUR
Q1 202715.07M EUR-4.04M EUR672.59M EUR
Q2 202720.17M EUR-40.12M EUR2.08B EUR

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

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-1%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
66%No clear edge over a coin flip (21 of 32 calls right in 8 tests)
Turning points
16 of 16Anticipated most turns (16 turns in 8 tests, 0 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%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 5% 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 20261.71M EUR
Q1 20261.51M EUR
Q4 20251.68M EUR
Q3 20251.58B EUR
Q2 20251.60B EUR
Q1 20251.38B EUR
Q4 20241.59B EUR
Q3 20241.44B EUR
Q2 20241.39B EUR
Q1 20241.16B EUR
Q4 20231.26B EUR
Q3 20231.19B EUR
Q2 20231.18B EUR
Q1 20231.03B EUR
Q4 20221.06B EUR
Q3 20221.04B EUR
Q2 20221.01B EUR
Q1 2022855.93M EUR
Q4 2021957.59M EUR
Q3 2021935.38M EUR
Q2 2021891.61M EUR
Q1 2021752.78M EUR
Q4 2020918.10M EUR
Q3 2020881.74M EUR

Source

Data: public market data feeds.

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