AgenticInvestor

Morocco Exports

Morocco · Monthly series · EC-MA-EXP

Latest, July 2026

6.39B MAD

-14.3% from June 2026

Open interactive chartMorocco Exports in the app

12.75B7.119B1.489BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 6.40B MAD, with an 80% interval of 4.47B MAD to 8.66B MAD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20266.42B MAD5.13B MAD7.90B MAD
September 20267.01B MAD5.34B MAD8.91B MAD
October 20267.20B MAD5.45B MAD9.14B MAD
November 20267.07B MAD4.76B MAD9.70B MAD
December 20267.13B MAD5.60B MAD8.83B MAD
January 20276.92B MAD4.68B MAD9.46B MAD
February 20277.09B MAD4.58B MAD9.81B MAD
March 20277.60B MAD2.98B MAD12.75B MAD
April 20277.35B MAD4.31B MAD10.60B MAD
May 20277.35B MAD5.28B MAD9.63B MAD
June 20277.24B MAD4.68B MAD10.04B MAD
July 20276.40B MAD4.47B MAD8.66B MAD

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
+23%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
78%No clear edge over a coin flip (112 of 144 calls right in 12 tests)
Turning points
50 of 78Anticipated most turns (78 turns in 12 tests, 0 without a turn)
Error vs baseline
23% lowerError ratio 0.77; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 observations ahead per test.
80% band coverage
81%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 86% of the 119 earlier readings since August 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
July 20266.39B MAD
June 20267.45B MAD
May 20267.44B MAD
April 20267.84B MAD
March 20267.71B MAD
February 20266.65B MAD
January 20265.73B MAD
December 20257.00B MAD
November 20256.08B MAD
October 20256.39B MAD
September 20255.98B MAD
August 20254.82B MAD
July 20256.29B MAD
June 20256.93B MAD
May 20257.53B MAD
April 20257.15B MAD
March 20257.96B MAD
February 20256.86B MAD
January 20256.45B MAD
December 20247.79B MAD
November 20247.93B MAD
October 20248.22B MAD
September 20246.81B MAD
August 20245.53B MAD

Source

Data: public market data feeds.

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