San Marino Temperature

San Marino · Annual series · EC-SM-TEMP

Latest, 2024

14.3 pts

+2.6% from 2023

Open interactive chartSan Marino Temperature in the app

14.9712.6510.3219052027
History through 2024, the forecast path to 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2027: 13.8 pts, with an 80% interval of 12.6 pts to 15.0 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
202513.8 pts13.1 pts14.4 pts
202613.8 pts12.6 pts14.9 pts
202713.8 pts12.6 pts15.0 pts

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

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
+14%Beats the no-change baseline over 12 tests (12 tests, 6 won)
Direction
67%No clear edge over a coin flip (24 of 36 calls right in 12 tests)
Turning points
4 of 17Anticipated some turns (17 turns in 12 tests, 0 without a turn)
Error vs baseline
14% lowerError ratio 0.86; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
1989-12-01 to 2024-12-013 observations ahead per test.
80% band coverage
83%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

That is the highest of the 10 readings since 2015.

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
202414.3 pts
202313.9 pts
202214.1 pts
202112.9 pts
202013.6 pts
201913.7 pts
201813.9 pts
201713.1 pts
201613.2 pts
201513.6 pts
201413.7 pts
201312.5 pts
201212.8 pts
201113.3 pts
201011.9 pts
200912.8 pts
200812.8 pts
200713.0 pts
200612.7 pts
200512.0 pts
200412.4 pts
200313.1 pts
200213.1 pts
200112.6 pts

Source

Data: public market data feeds.

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