Monaco Exports

Monaco · Quarterly series · EC-MC-EXP

Latest, Q2 2026

298.70M EUR

+7.0% from Q1 2026

Open interactive chartMonaco Exports in the app

1.229B281.4M-666.4MQ1 2008Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 307.51M EUR, with an 80% interval of 229.91M EUR to 499.08M EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026312.24M EUR186.47M EUR664.85M EUR
Q4 2026311.72M EUR148.70M EUR780.79M EUR
Q1 2027307.99M EUR233.82M EUR493.14M EUR
Q2 2027307.51M EUR229.91M EUR499.08M 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
+6%Matches the no-change baseline over 8 tests (8 tests, 6 won)
Direction
59%No clear edge over a coin flip (19 of 32 calls right in 8 tests)
Turning points
6 of 16Anticipated some turns (16 turns in 8 tests, 0 without a turn)
Error vs baseline
6% lowerError ratio 0.94; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 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 67% of the 39 earlier readings since Q3 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
Q2 2026298.70M EUR
Q1 2026279.10M EUR
Q4 20251.23B EUR
Q3 2025912.80M EUR
Q2 2025586.20M EUR
Q1 2025333.70M EUR
Q4 2024459.20M EUR
Q3 2024241.80M EUR
Q2 2024325.20M EUR
Q1 2024280.40M EUR
Q4 2023387.10M EUR
Q3 2023257.30M EUR
Q2 2023266.40M EUR
Q1 2023328.70M EUR
Q4 2022328.60M EUR
Q3 2022443.10M EUR
Q2 2022267.00M EUR
Q1 2022279.40M EUR
Q4 2021320.50M EUR
Q3 2021303.40M EUR
Q2 2021261.50M EUR
Q1 2021259.30M EUR
Q4 2020254.30M EUR
Q3 2020280.10M EUR

Source

Data: public market data feeds.

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