Tajikistan Gold Reserves

Tajikistan · Quarterly series · EC-TJ-GRES

Latest, Q1 2024

7.4 pts

+0.0% from Q4 2023

Open interactive chartTajikistan Gold Reserves in the app

22.3310.84-0.6442Q1 2000Q1 2025
History through Q1 2024, the forecast path to Q1 2025 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2025: 7.1 pts, with an 80% interval of -0.6 pts to 15.6 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 20247.4 pts4.7 pts9.8 pts
Q3 20247.3 pts2.5 pts11.8 pts
Q4 20247.2 pts1.9 pts12.8 pts
Q1 20257.1 pts-0.6 pts15.6 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
-7%Matches the no-change baseline over 8 tests (8 tests, 3 won)
Direction
45%No clear edge over a coin flip (13 of 29 calls right in 8 tests)
Turning points
3 of 11Anticipated some turns (11 turns in 8 tests, 0 without a turn)
Error vs baseline
7% higherError ratio 1.07; 1.00 is a tie.
Tests won
3 / 8Complete rolling backtests; ties count as no win.
Test period
2016-06-01 to 2024-03-014 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 21% of the 39 earlier readings since Q2 2014.

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
Q1 20247.4 pts
Q4 20237.4 pts
Q3 20238.5 pts
Q2 20238.5 pts
Q1 20238.5 pts
Q4 20225.7 pts
Q3 20225.7 pts
Q2 20225.7 pts
Q1 20222.0 pts
Q4 20212.0 pts
Q3 20215.2 pts
Q2 20215.2 pts
Q1 20212.0 pts
Q4 202013.9 pts
Q3 202010.8 pts
Q2 202017.2 pts
Q1 202017.2 pts
Q4 201919.3 pts
Q3 201920.3 pts
Q2 201922.3 pts
Q1 201920.4 pts
Q4 201822.3 pts
Q3 201819.7 pts
Q2 201819.7 pts

Source

Data: public market data feeds.

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