Morocco Personal Savings

Morocco · Quarterly series · EC-MA-PS

Latest, Q2 2026

30.6 pts

-2.5% from Q1 2026

Open interactive chartMorocco Personal Savings in the app

39.9830.1320.28Q1 2014Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 30.6 pts, with an 80% interval of 26.0 pts to 35.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202630.6 pts26.4 pts34.4 pts
Q4 202631.2 pts27.6 pts34.3 pts
Q1 202730.1 pts20.3 pts40.0 pts
Q2 202730.6 pts26.0 pts35.0 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
+40%Beats the no-change baseline over 6 tests (6 tests, 5 won)
Direction
79%No clear edge over a coin flip (19 of 24 calls right in 6 tests)
Turning points
8 of 10Anticipated most turns (10 turns in 6 tests, 0 without a turn)
Error vs baseline
40% lowerError ratio 0.60; 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

It is above 82% of the 39 earlier 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 202630.6 pts
Q1 202631.4 pts
Q4 202532.7 pts
Q3 202531.2 pts
Q2 202529.3 pts
Q1 202526.8 pts
Q4 202430.8 pts
Q3 202426.9 pts
Q2 202432.1 pts
Q1 202424.1 pts
Q4 202328.2 pts
Q3 202328.3 pts
Q2 202329.5 pts
Q1 202324.9 pts
Q4 202226.9 pts
Q3 202227.4 pts
Q2 202229.9 pts
Q1 202222.9 pts
Q4 202127.8 pts
Q3 202128.1 pts
Q2 202131.4 pts
Q1 202125.5 pts
Q4 202027.2 pts
Q3 202025.2 pts

Source

Data: public market data feeds.

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