AgenticInvestor

Panama CPI Transportation

Panama · Monthly series · EC-PA-CPIT

Latest, September 2026

110.0 pts

+1.8% from August 2026

Open interactive chartPanama CPI Transportation in the app

129.6110.992.14October 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 110.7 pts, with an 80% interval of 97.5 pts to 122.4 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026110.7 pts108.4 pts112.5 pts
November 2026110.9 pts105.6 pts115.1 pts
December 2026111.0 pts105.7 pts115.2 pts
January 2027111.0 pts107.5 pts113.9 pts
February 2027111.1 pts106.9 pts114.5 pts
March 2027111.1 pts99.2 pts121.0 pts
April 2027111.0 pts101.2 pts119.3 pts
May 2027111.0 pts99.7 pts120.5 pts
June 2027110.9 pts99.2 pts121.0 pts
July 2027110.8 pts101.5 pts119.0 pts
August 2027110.7 pts97.4 pts122.7 pts
September 2027110.7 pts97.5 pts122.4 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
0%Matches the no-change baseline over 9 tests (9 tests, 4 won)
Direction
42%No clear edge over a coin flip (45 of 107 calls right in 9 tests)
Turning points
5 of 44Anticipated some turns (44 turns in 9 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
4 / 9Complete rolling backtests; ties count as no win.
Test period
2017-10-01 to 2026-09-0112 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 71% 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 2026110.0 pts
August 2026108.1 pts
July 2026107.0 pts
June 2026108.5 pts
May 2026110.1 pts
April 2026108.5 pts
March 2026102.2 pts
February 202698.8 pts
January 202698.9 pts
December 202598.4 pts
November 202598.7 pts
October 202598.9 pts
September 202599.0 pts
August 202598.8 pts
July 2025112.4 pts
June 2025111.2 pts
May 2025111.7 pts
April 2025111.9 pts
March 2025111.8 pts
February 2025112.1 pts
January 2025111.0 pts
December 2024109.9 pts
November 2024110.0 pts
October 2024110.4 pts

Source

Data: public market data feeds.

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