AgenticInvestor

Peru Inflation Rate YoY

Peru · Monthly series · EC-PE-IRYY

Latest, August 2026

4.1%

+0.36pp from July 2026

Open interactive chartPeru Inflation Rate YoY in the app

9.324.890.46September 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 4.6%, with an 80% interval of 2.2% to 8.3%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 20263.7%2.8%4.8%
October 20264.0%3.1%5.1%
November 20264.1%2.9%5.6%
December 20264.3%2.8%6.0%
January 20274.3%2.5%6.6%
February 20274.1%2.2%6.6%
March 20274.2%2.1%7.0%
April 20274.4%2.5%7.0%
May 20274.5%2.7%6.9%
June 20274.5%1.8%8.4%
July 20274.4%1.7%8.4%
August 20274.6%2.2%8.3%

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
-7%Matches the no-change baseline over 12 tests (12 tests, 3 won)
Direction
48%No clear edge over a coin flip (69 of 143 calls right in 12 tests)
Turning points
34 of 47Anticipated some turns (47 turns in 12 tests, 0 without a turn)
Error vs baseline
7% higherError ratio 1.07; 1.00 is a tie.
Tests won
3 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 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 77% of the 119 earlier readings since September 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
August 20264.1%
July 20263.7%
June 20263.6%
May 20263.5%
April 20263.7%
March 20263.4%
February 20262.0%
January 20261.5%
December 20251.5%
November 20251.4%
October 20251.5%
September 20251.5%
August 20251.2%
July 20251.7%
June 20251.7%
May 20251.7%
April 20251.6%
March 20251.3%
February 20251.5%
January 20251.8%
December 20241.7%
November 20241.9%
October 20241.5%
September 20241.4%

Source

Data: public market data feeds.

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