Lebanon Gold Reserves

Lebanon · Quarterly series · EC-LB-GRES

Latest, Q1 2025

286.8 pts

-0.0% from Q4 2024

Open interactive chartLebanon Gold Reserves in the app

286.8286.8286.7Q1 2000Q1 2026
History through Q1 2025, the forecast path to Q1 2026 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q1 2026: 286.8 pts, with an 80% interval of 286.7 pts to 286.8 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q2 2025286.8 pts286.7 pts286.8 pts
Q3 2025286.8 pts286.7 pts286.8 pts
Q4 2025286.8 pts286.7 pts286.8 pts
Q1 2026286.8 pts286.7 pts286.8 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
-1%Matches the no-change baseline over 8 tests (8 tests, 0 won)
Direction
n/aToo few tests (1 direction call, 8 needed) (1 of 1 call right in 1 test)
Turning points
n/aToo few tests (0 turns, 8 needed) (0 turns in 8 tests, 8 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
0 / 8Complete rolling backtests; ties count as no win.
Test period
2017-06-01 to 2025-03-014 observations ahead per test.
80% band coverage
0%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 lowest of the 40 readings since Q2 2015.

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 2025286.8 pts
Q4 2024286.8 pts
Q3 2024286.8 pts
Q2 2024286.8 pts
Q1 2024286.8 pts
Q4 2023286.8 pts
Q3 2023286.8 pts
Q2 2023286.8 pts
Q1 2023286.8 pts
Q4 2022286.8 pts
Q3 2022286.8 pts
Q2 2022286.8 pts
Q1 2022286.8 pts
Q4 2021286.8 pts
Q3 2021286.8 pts
Q2 2021286.8 pts
Q1 2021286.8 pts
Q4 2020286.8 pts
Q3 2020286.8 pts
Q2 2020286.8 pts
Q1 2020286.8 pts
Q4 2019286.8 pts
Q3 2019286.8 pts
Q2 2019286.8 pts

Source

Data: public market data feeds.

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