Luxembourg Foreign Exchange Reserves

Luxembourg · Monthly series · EC-LU-FER

Latest, September 2026

2.72B EUR

-0.8% from August 2026

Open interactive chartLuxembourg Foreign Exchange Reserves in the app

2.982B1.882B781.6MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 2.74B EUR, with an 80% interval of 2.54B EUR to 2.88B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20262.74B EUR2.70B EUR2.79B EUR
November 20262.74B EUR2.67B EUR2.83B EUR
December 20262.74B EUR2.65B EUR2.85B EUR
January 20272.74B EUR2.64B EUR2.86B EUR
February 20272.74B EUR2.61B EUR2.89B EUR
March 20272.74B EUR2.63B EUR2.85B EUR
April 20272.74B EUR2.55B EUR2.93B EUR
May 20272.74B EUR2.53B EUR2.94B EUR
June 20272.74B EUR2.52B EUR2.94B EUR
July 20272.74B EUR2.44B EUR2.98B EUR
August 20272.74B EUR2.45B EUR2.96B EUR
September 20272.74B EUR2.54B EUR2.88B EUR

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
-3%Matches the no-change baseline over 12 tests (12 tests, 5 won)
Direction
45%No clear edge over a coin flip (65 of 144 calls right in 12 tests)
Turning points
23 of 70Anticipated some turns (70 turns in 12 tests, 0 without a turn)
Error vs baseline
3% higherError ratio 1.03; 1.00 is a tie.
Tests won
5 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
82%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 62% of the 119 earlier readings since October 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
September 20262.72B EUR
August 20262.75B EUR
July 20262.74B EUR
June 20262.87B EUR
May 20262.74B EUR
April 20262.75B EUR
March 20262.71B EUR
February 20262.75B EUR
January 20262.78B EUR
December 20252.74B EUR
November 20252.72B EUR
October 20252.73B EUR
September 20252.76B EUR
August 20252.76B EUR
July 20252.72B EUR
June 20252.77B EUR
May 20252.74B EUR
April 20252.75B EUR
March 20252.67B EUR
February 20252.65B EUR
January 20252.62B EUR
December 20242.60B EUR
November 20242.62B EUR
October 20242.88B EUR

Source

Data: public market data feeds.

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