Malta Gold Reserves

Malta · Quarterly series · EC-MT-GRES

Latest, Q2 2026

0.4 pts

-7.5% from Q1 2026

Open interactive chartMalta Gold Reserves in the app

0.73310.1933-0.3465Q1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 0.3 pts, with an 80% interval of -0.2 pts to 0.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20260.4 pts0.1 pts0.4 pts
Q4 20260.3 pts0.1 pts0.5 pts
Q1 20270.3 pts-0.3 pts0.7 pts
Q2 20270.3 pts-0.2 pts0.7 pts

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
0%Matches the no-change baseline over 8 tests (8 tests, 2 won)
Direction
46%No clear edge over a coin flip (13 of 28 calls right in 8 tests)
Turning points
1 of 8Anticipated some turns (8 turns in 8 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
2 / 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 85% 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 20260.4 pts
Q1 20260.4 pts
Q4 20250.4 pts
Q3 20250.3 pts
Q2 20250.3 pts
Q1 20250.2 pts
Q4 20240.2 pts
Q3 20240.2 pts
Q2 20240.2 pts
Q1 20240.2 pts
Q4 20230.3 pts
Q3 20230.2 pts
Q2 20230.2 pts
Q1 20230.0 pts
Q4 20220.1 pts
Q3 20220.0 pts
Q2 20220.1 pts
Q1 20220.1 pts
Q4 20210.1 pts
Q3 20210.1 pts
Q2 20210.2 pts
Q1 20210.0 pts
Q4 20200.2 pts
Q3 20200.2 pts

Source

Data: public market data feeds.

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