Paraguay Imports

Paraguay · Monthly series · EC-PY-IMP

Latest, September 2026

1.95B USD

+5.3% from August 2026

Open interactive chartParaguay Imports in the app

6.851B3.659B466.9MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 1.90B USD, with an 80% interval of 1.34B USD to 2.58B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20261.96B USD1.69B USD2.28B USD
November 20261.92B USD1.73B USD2.15B USD
December 20261.92B USD1.71B USD2.16B USD
January 20271.80B USD1.59B USD2.04B USD
February 20271.72B USD1.49B USD1.96B USD
March 20271.78B USD1.51B USD2.11B USD
April 20271.77B USD1.45B USD2.12B USD
May 20271.79B USD1.51B USD2.12B USD
June 20271.80B USD1.40B USD2.25B USD
July 20271.88B USD1.51B USD2.33B USD
August 20271.91B USD1.37B USD2.58B USD
September 20271.90B USD1.34B USD2.58B USD

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
+4%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
61%No clear edge over a coin flip (88 of 144 calls right in 12 tests)
Turning points
48 of 75Anticipated most turns (75 turns in 12 tests, 0 without a turn)
Error vs baseline
4% lowerError ratio 0.96; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%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 98% 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 20261.95B USD
August 20261.85B USD
July 20262.04B USD
June 20261.70B USD
May 20261.60B USD
April 20261.59B USD
March 20261.74B USD
February 20261.32B USD
January 20261.45B USD
December 20251.55B USD
November 20251.59B USD
October 20251.71B USD
September 20251.58B USD
August 20251.53B USD
July 20251.56B USD
June 20251.50B USD
May 20256.85B USD
April 20251.37B USD
March 20251.32B USD
February 20251.23B USD
January 20251.39B USD
December 20241.40B USD
November 20241.32B USD
October 20241.46B USD

Source

Data: public market data feeds.

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