AgenticInvestor

Morocco CPI Housing Utilities

Morocco · Monthly series · EC-MA-CPIHU

Latest, September 2026

111.0 pts

+0.1% from August 2026

Open interactive chartMorocco CPI Housing Utilities in the app

114.2107.199.9October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 111.9 pts, with an 80% interval of 103.2 pts to 113.6 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026111.1 pts110.9 pts111.2 pts
November 2026111.1 pts111.0 pts111.3 pts
December 2026111.2 pts111.0 pts111.4 pts
January 2027111.3 pts111.0 pts111.5 pts
February 2027111.3 pts110.7 pts111.8 pts
March 2027111.4 pts111.0 pts111.6 pts
April 2027111.5 pts110.0 pts112.0 pts
May 2027111.6 pts108.4 pts112.3 pts
June 2027111.6 pts106.7 pts112.6 pts
July 2027111.7 pts106.7 pts112.7 pts
August 2027111.8 pts105.0 pts113.1 pts
September 2027111.9 pts103.2 pts113.6 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+20%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
93%Beats a coin flip (126 of 135 calls right in 12 tests)
Turning points
n/aToo few tests (6 turns, 8 needed) (6 turns in 12 tests, 6 without a turn)
Error vs baseline
20% lowerError ratio 0.80; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%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

It is above 97% of the 119 earlier readings since October 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
September 2026111.0 pts
August 2026110.9 pts
July 2026110.9 pts
June 2026110.8 pts
May 2026110.9 pts
April 2026110.0 pts
March 2026109.8 pts
February 2026109.6 pts
January 2026109.6 pts
December 2025109.6 pts
November 2025109.5 pts
October 2025109.5 pts
September 2025109.4 pts
August 2025109.4 pts
July 2025109.3 pts
June 2025109.3 pts
May 2025109.3 pts
April 2025109.2 pts
March 2025109.1 pts
February 2025108.9 pts
January 2025108.9 pts
December 2024108.9 pts
November 2024108.8 pts
October 2024108.7 pts

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Morocco