Iran GDP From Services
Iran · Quarterly series · EC-IR-GDPS
Latest, Q4 2024
9,684.64T IRR
+0.1% from Q3 2024
Forecast
Forecast for Q4 2025: 9,601.25T IRR, with an 80% interval of -3,222.46T IRR to 11,831.03T IRR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q1 2025 | 9,528.86T IRR | 7,468.33T IRR | 10,817.16T IRR |
| Q2 2025 | 9,578.63T IRR | 1,234.32T IRR | 11,354.11T IRR |
| Q3 2025 | 9,597.16T IRR | -3,107.17T IRR | 11,765.99T IRR |
| Q4 2025 | 9,601.25T IRR | -3,222.46T IRR | 11,831.03T IRR |
AI confidence
Mixed evidenceThe tests show no consistent, material advantage over the no-change baseline.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- 0%Matches the no-change baseline over 8 tests (8 tests, 6 won)
- Direction
- 69%No clear edge over a coin flip (22 of 32 calls right in 8 tests)
- Turning points
- 9 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)
- Error vs baseline
- About the sameError ratio 1.00; 1.00 is a tie.
- Tests won
- 6 / 8Complete rolling backtests; ties count as no win.
- Test period
- 2017-03-01 to 2024-12-014 observations ahead per test.
- 80% band coverage
- 78%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 2024-12-01.
- 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
That is the highest of the 40 readings since Q1 2015.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q4 2024 | 9,684.64T IRR |
| Q3 2024 | 9,679.40T IRR |
| Q2 2024 | 9,336.70T IRR |
| Q1 2024 | 1,156.21T IRR |
| Q4 2023 | 1,201.59T IRR |
| Q3 2023 | 1,187.44T IRR |
| Q2 2023 | 1,224.51T IRR |
| Q1 2023 | 1,137.62T IRR |
| Q4 2022 | 1,143.11T IRR |
| Q3 2022 | 1,105.01T IRR |
| Q2 2022 | 1,120.46T IRR |
| Q1 2022 | 1,097.16T IRR |
| Q4 2021 | 1,097.76T IRR |
| Q3 2021 | 1,072.83T IRR |
| Q2 2021 | 1,043.14T IRR |
| Q1 2021 | 1,004.63T IRR |
| Q4 2020 | 950.77T IRR |
| Q3 2020 | 968.30T IRR |
| Q2 2020 | 939.48T IRR |
| Q1 2020 | 980.50T IRR |
| Q4 2019 | 970.04T IRR |
| Q3 2019 | 1,006.06T IRR |
| Q2 2019 | 958.50T IRR |
| Q1 2019 | 953.33T IRR |
Source
Data: public market data feeds.
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