AgenticInvestor

Puerto Rico CPI Transportation

Puerto Rico · Monthly series · EC-PR-CPIT

Latest, September 2026

139.3 pts

+1.0% from August 2026

Open interactive chartPuerto Rico CPI Transportation in the app

156.3131.2106.2October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 139.6 pts, with an 80% interval of 124.1 pts to 156.3 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026139.5 pts138.3 pts140.6 pts
November 2026139.0 pts132.0 pts146.0 pts
December 2026138.3 pts130.1 pts146.3 pts
January 2027137.8 pts130.7 pts145.0 pts
February 2027138.3 pts127.4 pts149.6 pts
March 2027138.8 pts129.0 pts149.1 pts
April 2027139.3 pts127.1 pts152.3 pts
May 2027139.5 pts127.5 pts152.3 pts
June 2027139.6 pts128.6 pts151.5 pts
July 2027139.7 pts131.3 pts148.9 pts
August 2027139.9 pts126.9 pts154.4 pts
September 2027139.6 pts124.1 pts156.3 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
-5%Matches the no-change baseline over 12 tests (12 tests, 4 won)
Direction
45%No clear edge over a coin flip (65 of 143 calls right in 12 tests)
Turning points
14 of 48Anticipated some turns (48 turns in 12 tests, 0 without a turn)
Error vs baseline
5% higherError ratio 1.05; 1.00 is a tie.
Tests won
4 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%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 October 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
September 2026139.3 pts
August 2026137.9 pts
July 2026137.8 pts
June 2026138.9 pts
May 2026140.1 pts
April 2026137.1 pts
March 2026129.0 pts
February 2026126.7 pts
January 2026126.1 pts
December 2025126.2 pts
November 2025126.3 pts
October 2025126.3 pts
September 2025127.1 pts
August 2025125.8 pts
July 2025125.1 pts
June 2025125.0 pts
May 2025124.9 pts
April 2025124.8 pts
March 2025123.8 pts
February 2025124.5 pts
January 2025124.6 pts
December 2024125.0 pts
November 2024125.4 pts
October 2024125.8 pts

Source

Data: public market data feeds.

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