Libya Gold Reserves

Libya · Quarterly series · EC-LY-GRES

Latest, Q1 2026

146.7 pts

+0.0% from Q4 2025

Open interactive chartLibya Gold Reserves in the app

146.7131.7116.6Q1 2000Q1 2027
History through Q1 2026, the forecast path to Q1 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2027: 146.5 pts, with an 80% interval of 146.4 pts to 146.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2026146.5 pts146.4 pts146.7 pts
Q3 2026146.5 pts146.4 pts146.7 pts
Q4 2026146.5 pts146.4 pts146.7 pts
Q1 2027146.5 pts146.4 pts146.7 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
-2%Matches the no-change baseline over 8 tests (8 tests, 1 won)
Direction
n/aToo few tests (4 direction calls, 8 needed) (4 of 4 calls right in 1 test)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 0 without a turn)
Error vs baseline
2% higherError ratio 1.02; 1.00 is a tie.
Tests won
1 / 8Complete rolling backtests; ties count as no win.
Test period
2018-06-01 to 2026-03-014 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

It is above 72% of the 39 earlier readings since Q2 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
Q1 2026146.7 pts
Q4 2025146.7 pts
Q3 2025146.7 pts
Q2 2025146.7 pts
Q1 2025146.7 pts
Q4 2024146.7 pts
Q3 2024146.7 pts
Q2 2024146.7 pts
Q1 2024146.7 pts
Q4 2023146.7 pts
Q3 2023146.7 pts
Q2 2023146.7 pts
Q1 2023116.6 pts
Q4 2022116.6 pts
Q3 2022116.6 pts
Q2 2022116.6 pts
Q1 2022116.6 pts
Q4 2021116.6 pts
Q3 2021116.6 pts
Q2 2021116.6 pts
Q1 2021116.6 pts
Q4 2020116.6 pts
Q3 2020116.6 pts
Q2 2020116.6 pts

Source

Data: public market data feeds.

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