AgenticInvestor

Mauritius CPI Transportation

Mauritius · Monthly series · EC-MU-CPIT

Latest, October 2026

115.4 pts

+3.9% from September 2026

Open interactive chartMauritius CPI Transportation in the app

143108.173.21November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 116.2 pts, with an 80% interval of 93.2 pts to 140.7 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026115.7 pts112.3 pts119.4 pts
December 2026116.0 pts109.8 pts122.7 pts
January 2027116.2 pts108.7 pts124.9 pts
February 2027116.4 pts101.8 pts133.6 pts
March 2027116.5 pts101.4 pts133.9 pts
April 2027116.6 pts101.7 pts133.6 pts
May 2027116.6 pts93.5 pts142.0 pts
June 2027116.6 pts93.1 pts143.0 pts
July 2027116.5 pts98.5 pts136.9 pts
August 2027116.5 pts96.9 pts137.6 pts
September 2027116.3 pts94.6 pts140.3 pts
October 2027116.2 pts93.2 pts140.7 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 10 tests (10 tests, 5 won)
Direction
63%No clear edge over a coin flip (76 of 120 calls right in 10 tests)
Turning points
14 of 40Anticipated some turns (40 turns in 10 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
5 / 10Complete rolling backtests; ties count as no win.
Test period
2016-11-01 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

That is the highest of the 120 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 2026115.4 pts
September 2026111.1 pts
August 2026109.2 pts
July 2026107.2 pts
June 2026107.1 pts
May 2026106.9 pts
April 2026104.8 pts
March 2026102.3 pts
February 2026102.0 pts
January 2026102.2 pts
December 2025102.2 pts
November 2025102.1 pts
October 2025103.5 pts
September 2025103.2 pts
August 2025102.9 pts
July 2025102.4 pts
June 202597.8 pts
May 202597.5 pts
April 202597.5 pts
March 202597.6 pts
February 202597.4 pts
January 202597.4 pts
December 202498.4 pts
November 2024100.1 pts

Source

Data: public market data feeds.

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