AgenticInvestor

Morocco GDP From Services

Morocco · Quarterly series · EC-MA-GDPS

Latest, Q2 2026

199.16B MAD

+1.4% from Q1 2026

Open interactive chartMorocco GDP From Services in the app

212.7B174B135.2BQ1 2014Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 205.68B MAD, with an 80% interval of 193.61B MAD to 212.74B MAD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026199.88B MAD186.88B MAD207.15B MAD
Q4 2026202.20B MAD188.92B MAD210.80B MAD
Q1 2027203.80B MAD190.62B MAD212.61B MAD
Q2 2027205.68B MAD193.61B MAD212.74B MAD

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
+4%Matches the no-change baseline over 6 tests (6 tests, 5 won)
Direction
83%No clear edge over a coin flip (20 of 24 calls right in 6 tests)
Turning points
n/aToo few tests (6 turns, 8 needed) (6 turns in 6 tests, 1 without a turn)
Error vs baseline
4% lowerError ratio 0.96; 1.00 is a tie.
Tests won
5 / 6Complete rolling backtests; ties count as no win.
Test period
2020-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
83%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 Q3 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
Q2 2026199.16B MAD
Q1 2026196.44B MAD
Q4 2025196.52B MAD
Q3 2025191.67B MAD
Q2 2025189.62B MAD
Q1 2025186.37B MAD
Q4 2024186.34B MAD
Q3 2024182.53B MAD
Q2 2024175.17B MAD
Q1 2024177.46B MAD
Q4 2023175.58B MAD
Q3 2023172.66B MAD
Q2 2023167.17B MAD
Q1 2023169.49B MAD
Q4 2022167.80B MAD
Q3 2022167.46B MAD
Q2 2022160.07B MAD
Q1 2022160.85B MAD
Q4 2021161.00B MAD
Q3 2021159.73B MAD
Q2 2021150.31B MAD
Q1 2021154.40B MAD
Q4 2020150.58B MAD
Q3 2020146.62B MAD

Source

Data: public market data feeds.

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