Iraq Imports
Iraq · Quarterly series · EC-IQ-IMP
Latest, Q1 2026
8.73B USD
-51.1% from Q4 2025
Forecast
Forecast for Q1 2027: 11.63B USD, with an 80% interval of -7.16B USD to 39.37B USD.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q2 2026 | 10.90B USD | 1.72B USD | 24.79B USD |
| Q3 2026 | 12.06B USD | 8.33B USD | 16.91B USD |
| Q4 2026 | 12.10B USD | -364.7M USD | 28.82B USD |
| Q1 2027 | 11.63B USD | -7.16B USD | 39.37B USD |
AI confidence
Mixed evidenceThe 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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-15 against the cached history through 2026-03-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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.
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.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q1 2026 | 8.73B USD |
| Q4 2025 | 17.83B USD |
| Q3 2025 | 17.93B USD |
| Q2 2025 | 17.53B USD |
| Q1 2025 | 18.16B USD |
| Q4 2024 | 22.49B USD |
| Q3 2024 | 18.45B USD |
| Q2 2024 | 14.70B USD |
| Q1 2024 | 18.63B USD |
| Q4 2023 | 10.30B USD |
| Q3 2023 | 8.43B USD |
| Q2 2023 | 10.72B USD |
| Q1 2023 | 7.73B USD |
| Q4 2022 | 9.16B USD |
| Q3 2022 | 12.72B USD |
| Q2 2022 | 12.74B USD |
| Q1 2022 | 12.29B USD |
| Q4 2021 | 10.65B USD |
| Q3 2021 | 10.69B USD |
| Q2 2021 | 9.17B USD |
| Q1 2021 | 4.22B USD |
| Q4 2020 | 10.59B USD |
| Q3 2020 | 12.24B USD |
| Q2 2020 | 6.32B USD |
Source
Data: public market data feeds.
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