Mauritania Balance Of Trade

Mauritania · Quarterly series · EC-MR-BOT

Latest, Q2 2026

-11.81B MRU

-9.51B MRU from Q1 2026

Open interactive chartMauritania Balance Of Trade in the app

4.566B-19.23B-43.02BQ1 2001Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: -6.58B MRU, with an 80% interval of -13.72B MRU to -3.33B MRU.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026-7.30B MRU-25.87B MRU1.99B MRU
Q4 2026-7.10B MRU-26.71B MRU2.11B MRU
Q1 2027-6.55B MRU-26.26B MRU2.57B MRU
Q2 2027-6.58B MRU-13.72B MRU-3.33B MRU

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
+23%Beats the no-change baseline over 8 tests (8 tests, 3 won)
Direction
47%No clear edge over a coin flip (15 of 32 calls right in 8 tests)
Turning points
7 of 16Anticipated some turns (16 turns in 8 tests, 0 without a turn)
Error vs baseline
23% lowerError ratio 0.77; 1.00 is a tie.
Tests won
3 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 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 13% 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 2026-11.81B MRU
Q1 2026-2.30B MRU
Q4 2025-43.02B MRU
Q3 2025-5.42B MRU
Q2 2025-6.81B MRU
Q1 2025-1.08B MRU
Q4 2024-9.21B MRU
Q3 2024-11.50B MRU
Q2 2024-4.80B MRU
Q1 2024-870.00M MRU
Q4 2023-8.60B MRU
Q3 2023-630.00M MRU
Q2 2023-5.75B MRU
Q1 2023-11.77B MRU
Q4 2022-14.47B MRU
Q3 2022-15.77B MRU
Q2 2022-10.01B MRU
Q1 2022-7.67B MRU
Q4 2021-8.34B MRU
Q3 2021-4.98B MRU
Q2 2021-4.97B MRU
Q1 20212.04B MRU
Q4 20202.23B MRU
Q3 20201.67B MRU

Source

Data: public market data feeds.

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