AgenticInvestor

Taiwan Consumer Confidence Index

Taiwan · Monthly series · EC-TW-CCI

Latest, October 2026

66.3%

-2.50pp from September 2026

Open interactive chartTaiwan Consumer Confidence Index in the app

87.8672.0556.24November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 66.9%, with an 80% interval of 57.2% to 76.8%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202666.2%64.2%68.2%
December 202666.2%61.9%70.7%
January 202766.3%59.5%73.4%
February 202766.5%60.5%72.8%
March 202766.5%59.9%73.4%
April 202766.5%58.4%74.9%
May 202766.5%60.8%72.4%
June 202766.5%58.3%75.1%
July 202766.7%56.2%77.5%
August 202766.7%59.0%74.6%
September 202766.8%58.0%75.9%
October 202766.9%57.2%76.8%

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
+5%Matches the no-change baseline over 12 tests (12 tests, 10 won)
Direction
69%No clear edge over a coin flip (100 of 144 calls right in 12 tests)
Turning points
10 of 59Anticipated some turns (59 turns in 12 tests, 0 without a turn)
Error vs baseline
5% lowerError ratio 0.95; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
81%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 24% 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 202666.3%
September 202668.8%
August 202665.0%
July 202664.6%
June 202665.0%
May 202662.1%
April 202662.5%
March 202662.3%
February 202666.6%
January 202667.2%
December 202564.3%
November 202564.7%
October 202564.0%
September 202564.7%
August 202563.3%
July 202564.4%
June 202563.7%
May 202564.9%
April 202568.2%
March 202571.9%
February 202572.6%
January 202572.5%
December 202474.6%
November 202475.5%

Source

Data: public market data feeds.

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