Paraguay Gold Reserves

Paraguay · Quarterly series · EC-PY-GRES

Latest, Q3 2025

8.2 pts

+0.0% from Q2 2025

Open interactive chartParaguay Gold Reserves in the app

8.2064.1030Q1 2000Q3 2026
History through Q3 2025, the forecast path to Q3 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2026: 8.2 pts, with an 80% interval of 8.2 pts to 8.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 20258.2 pts8.2 pts8.2 pts
Q1 20268.2 pts8.2 pts8.2 pts
Q2 20268.2 pts8.2 pts8.2 pts
Q3 20268.2 pts8.2 pts8.2 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Limited evidence

The no-change baseline made no errors, so relative improvement cannot be measured.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot comparable: the no-change baseline made no errors (8 tests, 0 won)
Direction
n/aToo few tests (0 direction calls, 8 needed) (0 of 0 calls right in 0 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 0 without a turn)
Error vs baseline
Not comparableThe baseline made no errors in these tests.
Tests won
0 / 8Complete rolling backtests; ties count as no win.
Test period
2017-12-01 to 2025-09-014 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 0% of the 39 earlier readings since Q4 2015.

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
Q3 20258.2 pts
Q2 20258.2 pts
Q1 20258.2 pts
Q4 20248.2 pts
Q3 20248.2 pts
Q2 20248.2 pts
Q1 20248.2 pts
Q4 20238.2 pts
Q3 20238.2 pts
Q2 20238.2 pts
Q1 20238.2 pts
Q4 20228.2 pts
Q3 20228.2 pts
Q2 20228.2 pts
Q1 20228.2 pts
Q4 20218.2 pts
Q3 20218.2 pts
Q2 20218.2 pts
Q1 20218.2 pts
Q4 20208.2 pts
Q3 20208.2 pts
Q2 20208.2 pts
Q1 20208.2 pts
Q4 20198.2 pts

Source

Data: public market data feeds.

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