Mozambique Gold Reserves

Mozambique · Quarterly series · EC-MZ-GRES

Latest, Q2 2025

3.9 pts

+0.0% from Q1 2025

Open interactive chartMozambique Gold Reserves in the app

6.383.2650.15Q1 2000Q2 2026
History through Q2 2025, the forecast path to Q2 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2026: 3.9 pts, with an 80% interval of 3.9 pts to 3.9 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20253.9 pts3.9 pts3.9 pts
Q4 20253.9 pts3.9 pts3.9 pts
Q1 20263.9 pts3.9 pts3.9 pts
Q2 20263.9 pts3.9 pts3.9 pts

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

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
-37%Trails the no-change baseline over 8 tests (8 tests, 0 won)
Direction
10%No clear edge over a coin flip (1 of 10 calls right in 3 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 3 without a turn)
Error vs baseline
37% higherError ratio 1.37; 1.00 is a tie.
Tests won
0 / 8Complete rolling backtests; ties count as no win.
Test period
2017-09-01 to 2025-06-014 observations ahead per test.
80% band coverage
78%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 10% of the 39 earlier readings since Q3 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
Q2 20253.9 pts
Q1 20253.9 pts
Q4 20243.9 pts
Q3 20243.9 pts
Q2 20243.9 pts
Q1 20243.9 pts
Q4 20233.9 pts
Q3 20233.9 pts
Q2 20233.9 pts
Q1 20233.9 pts
Q4 20223.9 pts
Q3 20223.9 pts
Q2 20223.9 pts
Q1 20223.9 pts
Q4 20213.9 pts
Q3 20213.9 pts
Q2 20213.9 pts
Q1 20213.9 pts
Q4 20203.9 pts
Q3 20203.9 pts
Q2 20203.9 pts
Q1 20203.9 pts
Q4 20193.9 pts
Q3 20193.9 pts

Source

Data: public market data feeds.

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