Uruguay Exports

Uruguay · Monthly series · EC-UY-EXP

Latest, July 2026

1.38B USD

+25.7% from June 2026

Open interactive chartUruguay Exports in the app

1.936B1.201B465.8MAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 1.16B USD, with an 80% interval of 473.8M USD to 1.94B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20261.27B USD1.02B USD1.53B USD
September 20261.13B USD880.8M USD1.43B USD
October 20261.10B USD824.5M USD1.41B USD
November 20261.01B USD838.2M USD1.22B USD
December 2026966.8M USD746.2M USD1.23B USD
January 2027877.3M USD678.1M USD1.11B USD
February 2027907.4M USD792.6M USD1.04B USD
March 2027935.0M USD750.4M USD1.16B USD
April 2027894.9M USD623.6M USD1.21B USD
May 20271.15B USD762.2M USD1.59B USD
June 20271.17B USD853.9M USD1.55B USD
July 20271.16B USD473.8M USD1.94B USD

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
+31%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
74%No clear edge over a coin flip (106 of 144 calls right in 12 tests)
Turning points
40 of 77Anticipated most turns (77 turns in 12 tests, 0 without a turn)
Error vs baseline
31% lowerError ratio 0.69; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 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 120 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 20261.38B USD
June 20261.10B USD
May 20261.09B USD
April 2026726.6M USD
March 2026911.2M USD
February 2026854.6M USD
January 2026818.5M USD
December 2025867.2M USD
November 2025946.2M USD
October 2025917.8M USD
September 20251.06B USD
August 20251.17B USD
July 2025979.0M USD
June 20251.15B USD
May 2025950.1M USD
April 2025805.0M USD
March 2025781.8M USD
February 2025815.3M USD
January 2025755.8M USD
December 2024723.1M USD
November 2024891.3M USD
October 2024992.4M USD
September 2024860.8M USD
August 2024975.8M USD

Source

Data: public market data feeds.

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