Moldova Tourist Arrivals

Moldova · Quarterly series · EC-MD-TA

Latest, Q2 2026

91,021.0 pts

+32.7% from Q1 2026

Open interactive chartMoldova Tourist Arrivals in the app

146.2K73.42K660Q1 2004Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 92,420.8 pts, with an 80% interval of 32,424.5 pts to 146,174.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202693,910.7 pts66,035.6 pts121,198.5 pts
Q4 202688,598.8 pts72,503.7 pts104,519.8 pts
Q1 202777,464.4 pts51,774.6 pts103,193.6 pts
Q2 202792,420.8 pts32,424.5 pts146,174.8 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
+17%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
72%No clear edge over a coin flip (23 of 32 calls right in 8 tests)
Turning points
12 of 13Anticipated most turns (13 turns in 8 tests, 0 without a turn)
Error vs baseline
17% lowerError ratio 0.83; 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

That is the highest of the 40 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 202691,021.0 pts
Q1 202668,568.0 pts
Q4 202574,071.0 pts
Q3 202584,194.0 pts
Q2 202573,486.0 pts
Q1 202554,475.0 pts
Q4 202465,351.0 pts
Q3 202469,979.0 pts
Q2 202466,537.0 pts
Q1 202452,153.0 pts
Q4 202357,356.0 pts
Q3 202356,954.0 pts
Q2 202342,991.0 pts
Q1 202338,146.0 pts
Q4 202240,290.0 pts
Q3 202248,653.0 pts
Q2 202237,054.0 pts
Q1 202236,089.0 pts
Q4 202124,384.0 pts
Q3 202124,846.0 pts
Q2 202112,301.0 pts
Q1 20217,321.0 pts
Q4 20205,549.0 pts
Q3 20204,048.0 pts

Source

Data: public market data feeds.

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