Monaco Exports
Monaco · Quarterly series · EC-MC-EXP
Latest, Q2 2026
298.70M EUR
+7.0% from Q1 2026
Forecast
Forecast for Q2 2027: 307.51M EUR, with an 80% interval of 229.91M EUR to 499.08M EUR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| Q3 2026 | 312.24M EUR | 186.47M EUR | 664.85M EUR |
| Q4 2026 | 311.72M EUR | 148.70M EUR | 780.79M EUR |
| Q1 2027 | 307.99M EUR | 233.82M EUR | 493.14M EUR |
| Q2 2027 | 307.51M EUR | 229.91M EUR | 499.08M EUR |
AI confidence
Mixed evidenceThe 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.
- Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
- Evaluated 2026-11-15 against the cached history through 2026-06-01.
- This is an evaluation of the serving model; it does not establish a winner across four model classes.
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.
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.
Recent history (24 observations)
| Period | Value |
|---|---|
| Q2 2026 | 298.70M EUR |
| Q1 2026 | 279.10M EUR |
| Q4 2025 | 1.23B EUR |
| Q3 2025 | 912.80M EUR |
| Q2 2025 | 586.20M EUR |
| Q1 2025 | 333.70M EUR |
| Q4 2024 | 459.20M EUR |
| Q3 2024 | 241.80M EUR |
| Q2 2024 | 325.20M EUR |
| Q1 2024 | 280.40M EUR |
| Q4 2023 | 387.10M EUR |
| Q3 2023 | 257.30M EUR |
| Q2 2023 | 266.40M EUR |
| Q1 2023 | 328.70M EUR |
| Q4 2022 | 328.60M EUR |
| Q3 2022 | 443.10M EUR |
| Q2 2022 | 267.00M EUR |
| Q1 2022 | 279.40M EUR |
| Q4 2021 | 320.50M EUR |
| Q3 2021 | 303.40M EUR |
| Q2 2021 | 261.50M EUR |
| Q1 2021 | 259.30M EUR |
| Q4 2020 | 254.30M EUR |
| Q3 2020 | 280.10M EUR |
Source
Data: public market data feeds.
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