Latvia Gold Reserves

Latvia · Quarterly series · EC-LV-GRES

Latest, Q2 2026

6.7 pts

+0.0% from Q1 2026

Open interactive chartLatvia Gold Reserves in the app

7.757.1856.62Q1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 6.7 pts, with an 80% interval of 6.7 pts to 6.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20266.7 pts6.7 pts6.7 pts
Q4 20266.7 pts6.7 pts6.7 pts
Q1 20276.7 pts6.7 pts6.7 pts
Q2 20276.7 pts6.7 pts6.7 pts

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

AI confidence

Weak evidence

The serving forecast made larger errors than the no-change baseline in these tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-81%Trails the no-change baseline over 8 tests (8 tests, 1 won)
Direction
n/aToo few tests (2 direction calls, 8 needed) (2 of 2 calls right in 1 test)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 3 without a turn)
Error vs baseline
81% higherError ratio 1.81; 1.00 is a tie.
Tests won
1 / 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

It is above 36% 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 20266.7 pts
Q1 20266.7 pts
Q4 20256.7 pts
Q3 20256.7 pts
Q2 20256.7 pts
Q1 20256.7 pts
Q4 20246.7 pts
Q3 20246.7 pts
Q2 20246.7 pts
Q1 20246.7 pts
Q4 20236.7 pts
Q3 20236.7 pts
Q2 20236.7 pts
Q1 20236.7 pts
Q4 20226.7 pts
Q3 20226.7 pts
Q2 20226.7 pts
Q1 20226.7 pts
Q4 20216.7 pts
Q3 20216.7 pts
Q2 20216.7 pts
Q1 20216.7 pts
Q4 20206.7 pts
Q3 20206.7 pts

Source

Data: public market data feeds.

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