Iraq Imports

Iraq · Quarterly series · EC-IQ-IMP

Latest, Q1 2026

8.73B USD

-51.1% from Q4 2025

Open interactive chartIraq Imports in the app

50.16B21.5B-7.158BQ4 1988Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 11.63B USD, with an 80% interval of -7.16B USD to 39.37B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 202610.90B USD1.72B USD24.79B USD
Q3 202612.06B USD8.33B USD16.91B USD
Q4 202612.10B USD-364.7M USD28.82B USD
Q1 202711.63B USD-7.16B USD39.37B 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
-3%Matches the no-change baseline over 7 tests (7 tests, 5 won)
Direction
75%No clear edge over a coin flip (21 of 28 calls right in 7 tests)
Turning points
7 of 14Anticipated most turns (14 turns in 7 tests, 0 without a turn)
Error vs baseline
3% higherError ratio 1.03; 1.00 is a tie.
Tests won
5 / 7Complete rolling backtests; ties count as no win.
Test period
2019-06-01 to 2026-03-014 observations ahead per test.
80% band coverage
79%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 28% of the 39 earlier readings since Q2 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
Q1 20268.73B USD
Q4 202517.83B USD
Q3 202517.93B USD
Q2 202517.53B USD
Q1 202518.16B USD
Q4 202422.49B USD
Q3 202418.45B USD
Q2 202414.70B USD
Q1 202418.63B USD
Q4 202310.30B USD
Q3 20238.43B USD
Q2 202310.72B USD
Q1 20237.73B USD
Q4 20229.16B USD
Q3 202212.72B USD
Q2 202212.74B USD
Q1 202212.29B USD
Q4 202110.65B USD
Q3 202110.69B USD
Q2 20219.17B USD
Q1 20214.22B USD
Q4 202010.59B USD
Q3 202012.24B USD
Q2 20206.32B USD

Source

Data: public market data feeds.

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