Iran Current Account
Iran · Quarterly series · EC-IR-CA
Latest, Q4 2023
6.33B USD
+7.1% from Q3 2023
Forecast
Forecast for Q4 2024: 4.96B USD, with an 80% interval of 3.06B USD to 7.26B USD.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q1 2024 | 5.61B USD | -1.91B USD | 12.73B USD |
| Q2 2024 | 5.69B USD | 222.9M USD | 11.38B USD |
| Q3 2024 | 5.32B USD | -4.01B USD | 15.63B USD |
| Q4 2024 | 4.96B USD | 3.06B USD | 7.26B 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 8 tests (8 tests, 5 won)
- Direction
- 59%No clear edge over a coin flip (19 of 32 calls right in 8 tests)
- Turning points
- 5 of 13Anticipated some turns (13 turns in 8 tests, 0 without a turn)
- Error vs baseline
- 3% lowerError ratio 0.97; 1.00 is a tie.
- Tests won
- 5 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2016-03-01 to 2023-12-014 observations ahead per test.
- 80% band coverage
- 88%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 2023-12-01.
- 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 92% of the 39 earlier readings since Q1 2014.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q4 2023 | 6.33B USD |
| Q3 2023 | 5.91B USD |
| Q2 2023 | 4.39B USD |
| Q1 2023 | -1.60B USD |
| Q4 2022 | 2.44B USD |
| Q3 2022 | 5.52B USD |
| Q2 2022 | 7.84B USD |
| Q1 2022 | 2.94B USD |
| Q4 2021 | 2.21B USD |
| Q3 2021 | 2.46B USD |
| Q2 2021 | 3.53B USD |
| Q1 2021 | -4.0M USD |
| Q4 2020 | 1.12B USD |
| Q3 2020 | -1.21B USD |
| Q2 2020 | -622.0M USD |
| Q1 2020 | -2.40B USD |
| Q4 2019 | 2.03B USD |
| Q3 2019 | -1.02B USD |
| Q2 2019 | 5.14B USD |
| Q1 2019 | 5.56B USD |
| Q4 2018 | 3.41B USD |
| Q3 2018 | 6.72B USD |
| Q2 2018 | 6.16B USD |
| Q1 2018 | 4.90B USD |
Source
Data: public market data feeds.
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