AgenticInvestor

Sweden Interbank Rate

Sweden · Monthly series · EC-SE-INBR

Latest, November 2026

2.2%

+0.05pp from October 2026

Open interactive chartSweden Interbank Rate in the app

4.0931.726-0.641December 2016November 2027
History through November 2026, the forecast path to November 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for November 2027: 2.4%, with an 80% interval of 1.4% to 3.6%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
December 20262.2%2.0%2.4%
January 20272.2%2.0%2.6%
February 20272.3%1.9%2.6%
March 20272.3%1.7%3.0%
April 20272.3%1.7%3.0%
May 20272.3%1.7%3.1%
June 20272.3%1.7%3.1%
July 20272.3%1.6%3.3%
August 20272.3%1.6%3.3%
September 20272.3%1.7%3.3%
October 20272.3%1.6%3.4%
November 20272.4%1.4%3.6%

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

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+16%Beats the no-change baseline over 12 tests (12 tests, 5 won)
Direction
49%No clear edge over a coin flip (70 of 144 calls right in 12 tests)
Turning points
6 of 52Anticipated some turns (52 turns in 12 tests, 0 without a turn)
Error vs baseline
16% lowerError ratio 0.84; 1.00 is a tie.
Tests won
5 / 12Complete rolling backtests; ties count as no win.
Test period
2014-12-01 to 2026-11-0112 observations ahead per test.
80% band coverage
79%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 73% of the 119 earlier readings since December 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
November 20262.2%
October 20262.1%
September 20262.0%
August 20262.0%
July 20262.0%
June 20262.0%
May 20262.0%
April 20262.1%
March 20262.2%
February 20262.0%
January 20262.0%
December 20252.0%
November 20251.9%
October 20251.9%
September 20251.9%
August 20252.1%
July 20252.2%
June 20252.1%
May 20252.3%
April 20252.3%
March 20252.4%
February 20252.3%
January 20252.4%
December 20242.5%

Source

Data: public market data feeds.

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