Serbia Gold Reserves

Serbia · Quarterly series · EC-RS-GRES

Latest, Q3 2026

55.1 pts

+1.1% from Q2 2026

Open interactive chartSerbia Gold Reserves in the app

76.3543.089.8Q4 2000Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 57.7 pts, with an 80% interval of 41.9 pts to 76.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 202655.7 pts52.1 pts60.6 pts
Q1 202756.3 pts48.4 pts66.9 pts
Q2 202756.9 pts44.3 pts74.1 pts
Q3 202757.7 pts41.9 pts76.4 pts

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

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+25%Beats the no-change baseline over 8 tests (8 tests, 7 won)
Direction
100%Beats a coin flip (32 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 8 without a turn)
Error vs baseline
25% lowerError ratio 0.75; 1.00 is a tie.
Tests won
7 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 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

That is the highest of the 40 readings since Q4 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
Q3 202655.1 pts
Q2 202654.6 pts
Q1 202653.7 pts
Q4 202552.5 pts
Q3 202551.7 pts
Q2 202550.3 pts
Q1 202549.1 pts
Q4 202448.1 pts
Q3 202447.3 pts
Q2 202441.5 pts
Q1 202440.7 pts
Q4 202340.0 pts
Q3 202338.7 pts
Q2 202338.5 pts
Q1 202338.5 pts
Q4 202238.5 pts
Q3 202238.5 pts
Q2 202238.2 pts
Q1 202237.8 pts
Q4 202137.3 pts
Q3 202136.9 pts
Q2 202136.4 pts
Q1 202136.0 pts
Q4 202035.6 pts

Source

Data: public market data feeds.

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