Indonesia Gold Reserves

Indonesia · Quarterly series · EC-ID-GRES

Latest, Q3 2026

87.0 pts

+0.0% from Q2 2026

Open interactive chartIndonesia Gold Reserves in the app

96.4584.7773.09Q1 2000Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 87.0 pts, with an 80% interval of 86.0 pts to 87.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 202687.0 pts85.4 pts88.2 pts
Q1 202787.0 pts85.5 pts87.9 pts
Q2 202787.0 pts86.5 pts87.2 pts
Q3 202787.0 pts86.0 pts87.5 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
+9%Matches the no-change baseline over 8 tests (8 tests, 1 won)
Direction
44%No clear edge over a coin flip (4 of 9 calls right in 3 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 0 without a turn)
Error vs baseline
9% lowerError ratio 0.91; 1.00 is a tie.
Tests won
1 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 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

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 202687.0 pts
Q2 202687.0 pts
Q1 202687.0 pts
Q4 202585.5 pts
Q3 202580.4 pts
Q2 202578.6 pts
Q1 202578.6 pts
Q4 202478.6 pts
Q3 202478.6 pts
Q2 202478.6 pts
Q1 202478.6 pts
Q4 202378.6 pts
Q3 202378.6 pts
Q2 202378.6 pts
Q1 202378.6 pts
Q4 202278.6 pts
Q3 202278.6 pts
Q2 202278.6 pts
Q1 202278.6 pts
Q4 202178.6 pts
Q3 202178.6 pts
Q2 202178.6 pts
Q1 202178.6 pts
Q4 202078.6 pts

Source

Data: public market data feeds.

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