AgenticInvestor

Indonesia Core Consumer Prices

Indonesia · Monthly series · EC-ID-CCP

Latest, October 2026

110.2 pts

+0.1% from September 2026

Open interactive chartIndonesia Core Consumer Prices in the app

115.7105.495.18November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 112.5 pts, with an 80% interval of 109.5 pts to 115.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026110.4 pts110.2 pts110.7 pts
December 2026110.6 pts110.0 pts111.3 pts
January 2027110.8 pts109.6 pts112.2 pts
February 2027111.0 pts109.9 pts112.4 pts
March 2027111.2 pts109.7 pts112.9 pts
April 2027111.4 pts109.9 pts113.0 pts
May 2027111.6 pts110.3 pts113.1 pts
June 2027111.8 pts110.4 pts113.4 pts
July 2027112.0 pts110.3 pts113.9 pts
August 2027112.2 pts109.9 pts114.6 pts
September 2027112.4 pts109.7 pts115.2 pts
October 2027112.5 pts109.5 pts115.7 pts

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

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+34%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
90%Beats a coin flip (129 of 144 calls right in 12 tests)
Turning points
n/aToo few tests (7 turns, 8 needed) (7 turns in 12 tests, 9 without a turn)
Error vs baseline
34% lowerError ratio 0.66; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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

It is above 90% 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 2026110.2 pts
September 2026110.1 pts
August 2026110.0 pts
July 2026109.8 pts
June 2026109.6 pts
May 2026109.3 pts
April 2026109.1 pts
March 2026108.9 pts
February 2026108.7 pts
January 2026107.9 pts
December 2025107.9 pts
November 2025107.7 pts
October 2025107.5 pts
September 2025107.0 pts
August 2025106.9 pts
July 2025106.8 pts
June 2025106.7 pts
May 2025106.6 pts
April 2025106.5 pts
March 2025106.2 pts
February 2025105.9 pts
January 2025105.7 pts
December 2024105.3 pts
November 2024105.2 pts

Source

Data: public market data feeds.

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