Spain Gold Reserves

Spain · Quarterly series · EC-ES-GRES

Latest, Q2 2026

281.6 pts

+0.0% from Q1 2026

Open interactive chartSpain Gold Reserves in the app

523.5402.3281Q1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 281.4 pts, with an 80% interval of 281.3 pts to 281.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026281.4 pts281.0 pts281.7 pts
Q4 2026281.5 pts281.2 pts281.7 pts
Q1 2027281.5 pts281.2 pts281.8 pts
Q2 2027281.4 pts281.3 pts281.5 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
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 0% 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 2026281.6 pts
Q1 2026281.6 pts
Q4 2025281.6 pts
Q3 2025281.6 pts
Q2 2025281.6 pts
Q1 2025281.6 pts
Q4 2024281.6 pts
Q3 2024281.6 pts
Q2 2024281.6 pts
Q1 2024281.6 pts
Q4 2023281.6 pts
Q3 2023281.6 pts
Q2 2023281.6 pts
Q1 2023281.6 pts
Q4 2022281.6 pts
Q3 2022281.6 pts
Q2 2022281.6 pts
Q1 2022281.6 pts
Q4 2021281.6 pts
Q3 2021281.6 pts
Q2 2021281.6 pts
Q1 2021281.6 pts
Q4 2020281.6 pts
Q3 2020281.6 pts

Source

Data: public market data feeds.

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