AgenticInvestor

Italy Consumer Confidence Index

Italy · Monthly series · EC-IT-CCI

Latest, October 2026

90.3%

-0.90pp from September 2026

Open interactive chartItaly Consumer Confidence Index in the app

107.394.180.9September 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 91.9%, with an 80% interval of 82.0% to 101.2%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202690.9%87.7%94.2%
December 202691.8%87.1%96.1%
January 202791.8%86.3%96.9%
February 202792.2%85.8%97.7%
March 202792.0%85.0%98.1%
April 202791.7%84.2%98.5%
May 202791.9%84.1%99.1%
June 202792.5%84.0%100.1%
July 202792.7%83.6%100.7%
August 202792.6%83.2%101.0%
September 202792.5%82.8%101.2%
October 202791.9%82.0%101.2%

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

AI confidence

Limited evidence

At least 6 complete tests are required; 3 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aToo few tests (3 tests, 6 needed) (3 tests, 2 won)
Direction
n/aToo few tests (3 tests, 6 needed) (20 of 36 calls right in 3 tests)
Turning points
n/aToo few tests (3 tests, 6 needed) (18 turns in 3 tests, 0 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
2 / 3Complete rolling backtests; ties count as no win.
Test period
2023-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
97%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 10% of the 117 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 202690.3%
September 202691.2%
August 202694.5%
July 202694.2%
June 202692.4%
May 202693.4%
April 202690.8%
March 202692.6%
February 202697.4%
January 202696.8%
December 202596.6%
November 202595.0%
October 202597.6%
September 202596.8%
August 202596.2%
July 202597.2%
June 202596.1%
May 202596.5%
April 202592.7%
March 202595.0%
February 202598.8%
January 202598.2%
December 202496.3%
November 202496.6%

Source

Data: public market data feeds.

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