AgenticInvestor

Philippines CPI Transportation

Philippines · Monthly series · EC-PH-CPIT

Latest, October 2026

155.2 pts

+4.9% from September 2026

Open interactive chartPhilippines CPI Transportation in the app

196.4145.594.5November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 151.7 pts, with an 80% interval of 118.7 pts to 191.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026155.5 pts149.9 pts162.0 pts
December 2026154.8 pts139.7 pts171.8 pts
January 2027154.3 pts136.7 pts174.7 pts
February 2027154.3 pts134.0 pts178.0 pts
March 2027153.9 pts117.7 pts196.4 pts
April 2027153.5 pts121.8 pts190.4 pts
May 2027153.0 pts131.8 pts177.9 pts
June 2027152.8 pts121.1 pts189.9 pts
July 2027152.6 pts116.2 pts195.1 pts
August 2027152.3 pts115.7 pts195.6 pts
September 2027152.0 pts117.4 pts193.6 pts
October 2027151.7 pts118.7 pts191.1 pts

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
-2%Matches the no-change baseline over 11 tests (11 tests, 6 won)
Direction
61%No clear edge over a coin flip (80 of 132 calls right in 11 tests)
Turning points
6 of 43Anticipated some turns (43 turns in 11 tests, 0 without a turn)
Error vs baseline
2% higherError ratio 1.02; 1.00 is a tie.
Tests won
6 / 11Complete rolling backtests; ties count as no win.
Test period
2015-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
82%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 99% 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 2026155.2 pts
September 2026148.0 pts
August 2026146.7 pts
July 2026144.3 pts
June 2026145.0 pts
May 2026148.6 pts
April 2026156.5 pts
March 2026142.3 pts
February 2026130.0 pts
January 2026130.0 pts
December 2025130.4 pts
November 2025130.7 pts
October 2025129.2 pts
September 2025129.2 pts
August 2025129.2 pts
July 2025128.9 pts
June 2025128.6 pts
May 2025127.9 pts
April 2025128.9 pts
March 2025129.5 pts
February 2025130.4 pts
January 2025130.3 pts
December 2024130.0 pts
November 2024128.5 pts

Source

Data: public market data feeds.

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