Paraguay Changes In Inventories

Paraguay · Quarterly series · EC-PY-IC

Latest, Q2 2026

-4.39T PYG

-8.18T PYG from Q1 2026

Open interactive chartParaguay Changes In Inventories in the app

9.45T1.393T-6.663TQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: -1.64T PYG, with an 80% interval of -6.66T PYG to 3.67T PYG.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026-2.15T PYG-4.62T PYG774.71B PYG
Q4 20262.74T PYG-4.07T PYG8.74T PYG
Q1 20274.42T PYG-617.12B PYG9.45T PYG
Q2 2027-1.64T PYG-6.66T PYG3.67T PYG

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
+45%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
91%Beats a coin flip (29 of 32 calls right in 8 tests)
Turning points
10 of 11Anticipated most turns (11 turns in 8 tests, 0 without a turn)
Error vs baseline
45% lowerError ratio 0.55; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
88%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 lowest of the 40 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 2026-4.39T PYG
Q1 20263.79T PYG
Q4 20256.92T PYG
Q3 2025-1.99T PYG
Q2 20251.13T PYG
Q1 20257.43T PYG
Q4 20244.85T PYG
Q3 2024-1.29T PYG
Q2 2024-2.20T PYG
Q1 20244.88T PYG
Q4 2023-728.53B PYG
Q3 2023-2.56T PYG
Q2 2023-4.20T PYG
Q1 20234.52T PYG
Q4 20223.77T PYG
Q3 20222.99T PYG
Q2 20221.54T PYG
Q1 20228.01T PYG
Q4 20213.38T PYG
Q3 2021-1.46T PYG
Q2 2021-3.08T PYG
Q1 20214.04T PYG
Q4 2020-276.87B PYG
Q3 2020-2.45T PYG

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Paraguay