Pakistan Gold Reserves

Pakistan · Quarterly series · EC-PK-GRES

Latest, Q3 2026

64.8 pts

+0.0% from Q2 2026

Open interactive chartPakistan Gold Reserves in the app

65.4364.9164.39Q1 2000Q3 2027
History through Q3 2026, the forecast path to Q3 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q3 2027: 64.8 pts, with an 80% interval of 64.8 pts to 64.9 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q4 202664.8 pts64.8 pts64.8 pts
Q1 202764.8 pts64.8 pts64.9 pts
Q2 202764.8 pts64.8 pts64.9 pts
Q3 202764.8 pts64.8 pts64.9 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
+8%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
100%Beats a coin flip (18 of 18 calls right in 7 tests)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 7 without a turn)
Error vs baseline
8% lowerError ratio 0.92; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-12-01 to 2026-09-014 observations ahead per test.
80% band coverage
84%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 97% of the 39 earlier 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 202664.8 pts
Q2 202664.8 pts
Q1 202664.8 pts
Q4 202564.8 pts
Q3 202564.8 pts
Q2 202564.8 pts
Q1 202564.8 pts
Q4 202464.7 pts
Q3 202464.7 pts
Q2 202464.7 pts
Q1 202464.7 pts
Q4 202364.7 pts
Q3 202364.7 pts
Q2 202364.7 pts
Q1 202364.7 pts
Q4 202264.7 pts
Q3 202264.7 pts
Q2 202264.7 pts
Q1 202264.7 pts
Q4 202164.7 pts
Q3 202164.7 pts
Q2 202164.7 pts
Q1 202164.6 pts
Q4 202064.6 pts

Source

Data: public market data feeds.

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