Iran GDP From Services

Iran · Quarterly series · EC-IR-GDPS

Latest, Q4 2024

9,684.64T IRR

+0.1% from Q3 2024

Open interactive chartIran GDP From Services in the app

1.183e+04T4304T-3222TQ2 2006Q4 2025
History through Q4 2024, the forecast path to Q4 2025 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q4 2025: 9,601.25T IRR, with an 80% interval of -3,222.46T IRR to 11,831.03T IRR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q1 20259,528.86T IRR7,468.33T IRR10,817.16T IRR
Q2 20259,578.63T IRR1,234.32T IRR11,354.11T IRR
Q3 20259,597.16T IRR-3,107.17T IRR11,765.99T IRR
Q4 20259,601.25T IRR-3,222.46T IRR11,831.03T IRR

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
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.
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

That is the highest of the 40 readings since Q1 2015.

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
Q4 20249,684.64T IRR
Q3 20249,679.40T IRR
Q2 20249,336.70T IRR
Q1 20241,156.21T IRR
Q4 20231,201.59T IRR
Q3 20231,187.44T IRR
Q2 20231,224.51T IRR
Q1 20231,137.62T IRR
Q4 20221,143.11T IRR
Q3 20221,105.01T IRR
Q2 20221,120.46T IRR
Q1 20221,097.16T IRR
Q4 20211,097.76T IRR
Q3 20211,072.83T IRR
Q2 20211,043.14T IRR
Q1 20211,004.63T IRR
Q4 2020950.77T IRR
Q3 2020968.30T IRR
Q2 2020939.48T IRR
Q1 2020980.50T IRR
Q4 2019970.04T IRR
Q3 20191,006.06T IRR
Q2 2019958.50T IRR
Q1 2019953.33T IRR

Source

Data: public market data feeds.

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