Moldova Changes In Inventories

Moldova · Quarterly series · EC-MD-IC

Latest, Q2 2026

3.05B MDL

+4.26B MDL from Q1 2026

Open interactive chartMoldova Changes In Inventories in the app

9.912B2.868B-4.175BQ1 2003Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 1.78B MDL, with an 80% interval of -3.63B MDL to 7.26B MDL.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20263.16B MDL-4.18B MDL9.91B MDL
Q4 2026403.89M MDL-1.72B MDL2.81B MDL
Q1 2027464.02M MDL-3.19B MDL4.70B MDL
Q2 20271.78B MDL-3.63B MDL7.26B MDL

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
+33%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
78%No clear edge over a coin flip (25 of 32 calls right in 8 tests)
Turning points
13 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)
Error vs baseline
33% lowerError ratio 0.67; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
81%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 77% 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 20263.05B MDL
Q1 2026-1.21B MDL
Q4 2025239.94M MDL
Q3 20251.81B MDL
Q2 20253.35B MDL
Q1 20252.07B MDL
Q4 2024191.39M MDL
Q3 20243.83B MDL
Q2 20242.76B MDL
Q1 2024-1.74B MDL
Q4 2023-631.82M MDL
Q3 2023269.42M MDL
Q2 2023334.97M MDL
Q1 2023649.85M MDL
Q4 20221.68B MDL
Q3 20225.81B MDL
Q2 2022703.20M MDL
Q1 2022873.95M MDL
Q4 2021127.83M MDL
Q3 20214.89B MDL
Q2 20214.41B MDL
Q1 20211.39B MDL
Q4 2020-2.17B MDL
Q3 20203.66B MDL

Source

Data: public market data feeds.

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