Latvia Asylum Applications

Latvia · Monthly series · EC-LV-AA

Latest, September 2026

140.0 pts

+7.7% from August 2026

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385184.1-16.83October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 114.4 pts, with an 80% interval of 45.2 pts to 257.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026119.6 pts38.1 pts247.4 pts
November 202689.5 pts16.6 pts232.3 pts
December 202665.2 pts10.9 pts200.5 pts
January 202751.5 pts-14.7 pts252.2 pts
February 202752.1 pts-2.6 pts220.6 pts
March 202761.6 pts0.1 pts239.8 pts
April 202781.5 pts27.4 pts209.5 pts
May 202798.4 pts-16.8 pts350.3 pts
June 2027114.2 pts-11.1 pts376.1 pts
July 2027120.6 pts36.9 pts286.3 pts
August 2027119.7 pts40.3 pts281.9 pts
September 2027114.4 pts45.2 pts257.2 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Supported evidence

The 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
+19%Beats the no-change baseline over 12 tests (12 tests, 8 won)
Direction
56%No clear edge over a coin flip (76 of 135 calls right in 12 tests)
Turning points
28 of 69Anticipated some turns (69 turns in 12 tests, 0 without a turn)
Error vs baseline
19% lowerError ratio 0.81; 1.00 is a tie.
Tests won
8 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%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 88% 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 2026140.0 pts
August 2026130.0 pts
July 2026210.0 pts
June 2026350.0 pts
May 2026240.0 pts
April 2026105.0 pts
March 202610.0 pts
February 202610.0 pts
January 202615.0 pts
December 202585.0 pts
November 2025145.0 pts
October 2025135.0 pts
September 2025130.0 pts
August 2025130.0 pts
July 2025190.0 pts
June 2025155.0 pts
May 2025145.0 pts
April 202560.0 pts
March 202525.0 pts
February 202550.0 pts
January 202535.0 pts
December 202450.0 pts
November 202425.0 pts
October 202455.0 pts

Source

Data: public market data feeds.

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