Ukraine Remittances

Ukraine · Quarterly series · EC-UA-REM

Latest, Q2 2026

1.85B USD

+2.8% from Q1 2026

Open interactive chartUkraine Remittances in the app

3.671B2.445B1.218BQ1 2008Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 1.82B USD, with an 80% interval of 1.43B USD to 2.25B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20261.86B USD1.62B USD2.12B USD
Q4 20261.89B USD1.55B USD2.24B USD
Q1 20271.76B USD1.47B USD2.07B USD
Q2 20271.82B USD1.43B USD2.25B USD

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
-7%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
53%No clear edge over a coin flip (17 of 32 calls right in 8 tests)
Turning points
7 of 9Anticipated some turns (9 turns in 8 tests, 0 without a turn)
Error vs baseline
7% higherError ratio 1.07; 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 3% 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 20261.85B USD
Q1 20261.80B USD
Q4 20251.94B USD
Q3 20251.98B USD
Q2 20252.14B USD
Q1 20252.04B USD
Q4 20242.27B USD
Q3 20242.35B USD
Q2 20242.41B USD
Q1 20242.47B USD
Q4 20232.79B USD
Q3 20232.82B USD
Q2 20232.86B USD
Q1 20232.99B USD
Q4 20223.08B USD
Q3 20223.05B USD
Q2 20223.14B USD
Q1 20223.28B USD
Q4 20213.67B USD
Q3 20213.46B USD
Q2 20213.52B USD
Q1 20213.37B USD
Q4 20203.34B USD
Q3 20203.08B USD

Source

Data: public market data feeds.

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