Latvia Balance Of Trade
Latvia · Monthly series · EC-LV-BOT
Latest, September 2026
-369.80M EUR
-27.20M EUR from August 2026
Forecast
Forecast for September 2027: -308.40M EUR, with an 80% interval of -602.32M EUR to -42.01M EUR.
| Period | Forecast | 80% low | 80% high |
|---|---|---|---|
| October 2026 | -317.29M EUR | -439.64M EUR | -197.60M EUR |
| November 2026 | -202.17M EUR | -309.32M EUR | -107.41M EUR |
| December 2026 | -306.25M EUR | -480.32M EUR | -145.48M EUR |
| January 2027 | -196.04M EUR | -414.04M EUR | 4.07M EUR |
| February 2027 | -208.08M EUR | -416.73M EUR | -24.07M EUR |
| March 2027 | -333.30M EUR | -484.42M EUR | -204.22M EUR |
| April 2027 | -294.06M EUR | -436.01M EUR | -173.08M EUR |
| May 2027 | -350.03M EUR | -620.04M EUR | -117.02M EUR |
| June 2027 | -409.07M EUR | -580.16M EUR | -252.64M EUR |
| July 2027 | -484.50M EUR | -682.96M EUR | -259.44M EUR |
| August 2027 | -372.57M EUR | -675.48M EUR | -95.36M EUR |
| September 2027 | -308.40M EUR | -602.32M EUR | -42.01M EUR |
AI confidence
Supported evidenceThe point forecast beat the no-change baseline overall and in a majority of the evaluated tests.
Model: Agentic Investor TSFM (foundation model)
- Accuracy vs naive
- +27%Beats the no-change baseline over 11 tests (11 tests, 10 won)
- Direction
- 80%Beats a coin flip (106 of 132 calls right in 11 tests)
- Turning points
- 63 of 76Anticipated most turns (76 turns in 11 tests, 0 without a turn)
- Error vs baseline
- 27% lowerError ratio 0.73; 1.00 is a tie.
- Tests won
- 10 / 11Complete rolling backtests; ties count as no win.
- Test period
- 2015-10-01 to 2026-09-0112 observations ahead per test.
- 80% band coverage
- 82%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 2026-11-14 against the cached history through 2026-09-01.
- 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 15% of the 119 earlier readings since October 2016.
Recent history (24 observations)
| Period | Value |
|---|---|
| September 2026 | -369.80M EUR |
| August 2026 | -342.60M EUR |
| July 2026 | -453.60M EUR |
| June 2026 | -453.30M EUR |
| May 2026 | -363.80M EUR |
| April 2026 | -257.70M EUR |
| March 2026 | -392.50M EUR |
| February 2026 | -313.80M EUR |
| January 2026 | -154.30M EUR |
| December 2025 | -342.20M EUR |
| November 2025 | -187.30M EUR |
| October 2025 | -306.90M EUR |
| September 2025 | -362.90M EUR |
| August 2025 | -223.20M EUR |
| July 2025 | -532.10M EUR |
| June 2025 | -474.20M EUR |
| May 2025 | -301.20M EUR |
| April 2025 | -263.80M EUR |
| March 2025 | -271.20M EUR |
| February 2025 | -100.30M EUR |
| January 2025 | -204.50M EUR |
| December 2024 | -370.30M EUR |
| November 2024 | -104.70M EUR |
| October 2024 | -269.60M EUR |
Source
Data: public market data feeds.
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