Taiwan Consumer Spending

Taiwan · Quarterly series · EC-TW-CS

Latest, Q2 2026

2.98T TWD

+0.3% from Q1 2026

Open interactive chartTaiwan Consumer Spending in the app

3.25T2.24T1.23TQ3 1996Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 3.04T TWD, with an 80% interval of 2.84T TWD to 3.20T TWD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20262.99T TWD2.90T TWD3.07T TWD
Q4 20263.01T TWD2.73T TWD3.24T TWD
Q1 20273.03T TWD2.75T TWD3.25T TWD
Q2 20273.04T TWD2.84T TWD3.20T TWD

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
+7%Matches the no-change baseline over 8 tests (8 tests, 5 won)
Direction
78%No clear edge over a coin flip (25 of 32 calls right in 8 tests)
Turning points
n/aToo few tests (7 turns, 8 needed) (7 turns in 8 tests, 2 without a turn)
Error vs baseline
7% lowerError ratio 0.93; 1.00 is a tie.
Tests won
5 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
88%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 97% of the 39 earlier readings since Q3 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
Q2 20262.98T TWD
Q1 20262.97T TWD
Q4 20252.99T TWD
Q3 20252.86T TWD
Q2 20252.81T TWD
Q1 20252.84T TWD
Q4 20242.89T TWD
Q3 20242.83T TWD
Q2 20242.79T TWD
Q1 20242.70T TWD
Q4 20232.69T TWD
Q3 20232.68T TWD
Q2 20232.65T TWD
Q1 20232.61T TWD
Q4 20222.57T TWD
Q3 20222.45T TWD
Q2 20222.35T TWD
Q1 20222.45T TWD
Q4 20212.48T TWD
Q3 20212.28T TWD
Q2 20212.27T TWD
Q1 20212.43T TWD
Q4 20202.41T TWD
Q3 20202.41T TWD

Source

Data: public market data feeds.

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