Italy Gold Reserves

Italy · Quarterly series · EC-IT-GRES

Latest, Q2 2026

2,451.8 pts

+0.0% from Q1 2026

Open interactive chartItaly Gold Reserves in the app

245224522452Q1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 2,451.8 pts, with an 80% interval of 2,451.8 pts to 2,451.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20262,451.8 pts2,451.8 pts2,451.8 pts
Q4 20262,451.8 pts2,451.8 pts2,451.8 pts
Q1 20272,451.8 pts2,451.8 pts2,451.8 pts
Q2 20272,451.8 pts2,451.8 pts2,451.8 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, 8 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
0%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 20262,451.8 pts
Q1 20262,451.8 pts
Q4 20252,451.8 pts
Q3 20252,451.8 pts
Q2 20252,451.8 pts
Q1 20252,451.8 pts
Q4 20242,451.8 pts
Q3 20242,451.8 pts
Q2 20242,451.8 pts
Q1 20242,451.8 pts
Q4 20232,451.8 pts
Q3 20232,451.8 pts
Q2 20232,451.8 pts
Q1 20232,451.8 pts
Q4 20222,451.8 pts
Q3 20222,451.8 pts
Q2 20222,451.8 pts
Q1 20222,451.8 pts
Q4 20212,451.8 pts
Q3 20212,451.8 pts
Q2 20212,451.8 pts
Q1 20212,451.8 pts
Q4 20202,451.8 pts
Q3 20202,451.8 pts

Source

Data: public market data feeds.

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