AgenticInvestor

Trinidad and Tobago Inflation Rate YoY

Trinidad and Tobago · Monthly series · EC-TT-IRYY

Latest, July 2026

0.6%

+0.24pp from June 2026

Open interactive chartTrinidad and Tobago Inflation Rate YoY in the app

8.744.209-0.3227August 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 1.0%, with an 80% interval of -0.3% to 5.4%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20260.6%0.4%0.8%
September 20260.6%0.5%0.8%
October 20260.7%0.1%2.0%
November 20260.8%-0.0%2.4%
December 20260.8%0.2%2.1%
January 20270.8%0.1%2.6%
February 20270.8%0.2%2.6%
March 20270.9%0.3%2.6%
April 20270.9%-0.1%4.1%
May 20271.0%-0.2%4.8%
June 20271.0%-0.3%5.1%
July 20271.0%-0.3%5.4%

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 12 tests (12 tests, 5 won)
Direction
56%No clear edge over a coin flip (80 of 142 calls right in 12 tests)
Turning points
27 of 66Anticipated some turns (66 turns in 12 tests, 0 without a turn)
Error vs baseline
2% lowerError ratio 0.98; 1.00 is a tie.
Tests won
5 / 12Complete rolling backtests; ties count as no win.
Test period
2014-08-01 to 2026-07-0112 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 18% of the 119 earlier readings since August 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
July 20260.6%
June 20260.3%
May 20260.3%
April 20260.4%
March 20260.7%
February 20260.6%
January 20260.7%
December 20250.4%
November 20250.5%
October 20250.4%
September 20251.1%
August 20251.4%
July 20251.4%
June 20251.5%
May 20251.4%
April 20251.5%
March 20251.0%
February 20250.7%
January 20250.7%
December 20240.5%
November 20240.5%
October 20240.2%
September 20240.4%
August 20240.4%

Source

Data: public market data feeds.

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