AgenticInvestor

Paraguay Real GDP

Paraguay · Quarterly series · EC-PY-GDPCP

Latest, Q2 2026

63.91T PYG

-8.0% from Q1 2026

Open interactive chartParaguay Real GDP in the app

5.929e+04T2.955e+04T-195.1TQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 123.47T PYG, with an 80% interval of -57.49T PYG to 1,806.00T PYG.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026149.85T PYG-56.99T PYG1,298.48T PYG
Q4 2026390.43T PYG-195.12T PYG2,693.83T PYG
Q1 2027218.29T PYG-99.12T PYG2,041.69T PYG
Q2 2027123.47T PYG-57.49T PYG1,806.00T PYG

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
+10%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
75%No clear edge over a coin flip (24 of 32 calls right in 8 tests)
Turning points
12 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
10% lowerError ratio 0.90; 1.00 is a tie.
Tests won
4 / 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 15% 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 202663.91T PYG
Q1 202669.49T PYG
Q4 202566.07T PYG
Q3 202560.24T PYG
Q2 202560.71T PYG
Q1 202563.95T PYG
Q4 202461.88T PYG
Q3 202456.14T PYG
Q2 202457.22T PYG
Q1 202460.01T PYG
Q4 202359,285.35T PYG
Q3 202354,330.23T PYG
Q2 202354,365.03T PYG
Q1 202357,520.78T PYG
Q4 202256,513.47T PYG
Q3 202252,387.64T PYG
Q2 202251,458.27T PYG
Q1 202254,990.16T PYG
Q4 202155,521.73T PYG
Q3 202150,857.76T PYG
Q2 202153,135.58T PYG
Q1 202155,456.04T PYG
Q4 202055,341.21T PYG
Q3 202049,587.11T PYG

Source

Data: public market data feeds.

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