Italy Terms Of Trade

Italy · Monthly series · EC-IT-TOT

Latest, August 2026

100.8 pts

-4.6% from July 2026

Open interactive chartItaly Terms Of Trade in the app

113.797.481.1August 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 104.3 pts, with an 80% interval of 95.7 pts to 110.5 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 2026102.4 pts98.7 pts106.3 pts
October 2026102.6 pts98.4 pts106.8 pts
November 2026102.9 pts97.9 pts107.5 pts
December 2026102.9 pts97.5 pts107.8 pts
January 2027103.3 pts97.2 pts108.5 pts
February 2027103.4 pts96.9 pts108.8 pts
March 2027103.7 pts96.8 pts109.1 pts
April 2027103.8 pts96.5 pts109.4 pts
May 2027104.0 pts96.3 pts109.8 pts
June 2027104.1 pts96.1 pts110.0 pts
July 2027104.3 pts95.9 pts110.4 pts
August 2027104.3 pts95.7 pts110.5 pts

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

AI confidence

Needs refresh

The data refresh is due. Confidence will be reassessed against the refreshed history.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

Model comparison

Comparison not readyA forecast and enough history for rolling backtests are required.

Reading

It is above 26% of the 118 earlier readings since September 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
August 2026100.8 pts
July 2026105.7 pts
June 2026102.0 pts
May 2026102.8 pts
April 2026106.9 pts
March 2026107.8 pts
February 2026107.2 pts
January 2026110.1 pts
December 2025109.6 pts
November 2025108.2 pts
October 2025108.4 pts
September 2025108.9 pts
August 2025105.8 pts
July 2025106.6 pts
June 2025105.5 pts
May 2025105.5 pts
April 2025104.6 pts
March 2025103.9 pts
February 2025104.7 pts
January 2025104.3 pts
December 2024105.1 pts
November 2024104.4 pts
October 2024105.4 pts
September 2024103.7 pts

Source

Data: public market data feeds.

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