AgenticInvestor

Latvia Fiscal Expenditure

Latvia · Monthly series · EC-LV-FE

Latest, September 2026

1.74B EUR

+8.9% from August 2026

Open interactive chartLatvia Fiscal Expenditure in the app

3.204B1.963B722.3MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 1.83B EUR, with an 80% interval of 1.67B EUR to 2.00B EUR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20261.92B EUR1.70B EUR2.17B EUR
November 20261.87B EUR1.73B EUR2.03B EUR
December 20262.53B EUR1.93B EUR3.20B EUR
January 20271.72B EUR1.49B EUR1.99B EUR
February 20271.86B EUR1.73B EUR2.00B EUR
March 20271.88B EUR1.77B EUR2.00B EUR
April 20271.93B EUR1.75B EUR2.14B EUR
May 20271.77B EUR1.65B EUR1.89B EUR
June 20271.98B EUR1.78B EUR2.19B EUR
July 20271.87B EUR1.66B EUR2.07B EUR
August 20271.74B EUR1.62B EUR1.87B EUR
September 20271.83B EUR1.67B EUR2.00B EUR

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
+52%Beats the no-change baseline over 12 tests (12 tests, 12 won)
Direction
90%Beats a coin flip (130 of 144 calls right in 12 tests)
Turning points
75 of 95Anticipated most turns (95 turns in 12 tests, 0 without a turn)
Error vs baseline
52% lowerError ratio 0.48; 1.00 is a tie.
Tests won
12 / 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 91% 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 20261.74B EUR
August 20261.60B EUR
July 20261.86B EUR
June 20261.89B EUR
May 20261.65B EUR
April 20261.71B EUR
March 20261.76B EUR
February 20261.71B EUR
January 20261.67B EUR
December 20252.64B EUR
November 20251.65B EUR
October 20251.80B EUR
September 20251.67B EUR
August 20251.50B EUR
July 20251.68B EUR
June 20251.76B EUR
May 20251.51B EUR
April 20251.80B EUR
March 20251.71B EUR
February 20251.64B EUR
January 20251.58B EUR
December 20242.37B EUR
November 20241.59B EUR
October 20241.71B EUR

Source

Data: public market data feeds.

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