AgenticInvestor

Romania Inflation Rate YoY

Romania · Monthly series · EC-RO-IRYY

Latest, October 2026

6.9%

+0.33pp from September 2026

Open interactive chartRomania Inflation Rate YoY in the app

16.768.03-0.7November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 6.2%, with an 80% interval of 1.3% to 14.9%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20267.0%5.8%8.2%
December 20267.0%5.7%8.7%
January 20276.8%5.6%8.3%
February 20276.5%4.6%8.9%
March 20276.2%4.7%7.9%
April 20276.0%4.2%8.3%
May 20276.1%4.1%8.8%
June 20276.1%4.0%9.5%
July 20276.3%2.9%11.5%
August 20276.4%2.8%12.4%
September 20276.3%1.5%14.6%
October 20276.2%1.3%14.9%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

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
+14%Beats the no-change baseline over 12 tests (12 tests, 7 won)
Direction
59%No clear edge over a coin flip (85 of 143 calls right in 12 tests)
Turning points
19 of 47Anticipated some turns (47 turns in 12 tests, 0 without a turn)
Error vs baseline
14% lowerError ratio 0.86; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
85%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 66% of the 119 earlier readings since November 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
October 20266.9%
September 20266.6%
August 20266.2%
July 20268.2%
June 202610.4%
May 202610.8%
April 202610.7%
March 20269.9%
February 20269.3%
January 20269.6%
December 20259.7%
November 20259.8%
October 20259.8%
September 20259.9%
August 20259.8%
July 20257.8%
June 20255.7%
May 20255.5%
April 20254.8%
March 20254.9%
February 20255.0%
January 20255.0%
December 20245.1%
November 20245.1%

Source

Data: public market data feeds.

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