Peru Imports

Peru · Monthly series · EC-PE-IMP

Latest, July 2026

7.09B USD

+18.6% from June 2026

Open interactive chartPeru Imports in the app

10.16B6.246B2.333BAugust 2016July 2027
History through July 2026, the forecast path to July 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2027: 6.96B USD, with an 80% interval of 4.57B USD to 9.92B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20266.96B USD6.55B USD7.43B USD
September 20266.80B USD6.15B USD7.56B USD
October 20267.04B USD5.98B USD8.29B USD
November 20266.71B USD5.93B USD7.63B USD
December 20266.61B USD4.97B USD8.56B USD
January 20276.66B USD5.39B USD8.21B USD
February 20276.25B USD5.03B USD7.70B USD
March 20276.59B USD4.06B USD9.65B USD
April 20276.71B USD4.24B USD9.72B USD
May 20276.79B USD4.05B USD10.16B USD
June 20276.67B USD4.13B USD9.90B USD
July 20276.96B USD4.57B USD9.92B USD

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, 7 won)
Direction
57%No clear edge over a coin flip (82 of 144 calls right in 12 tests)
Turning points
67 of 89Anticipated most turns (89 turns in 12 tests, 0 without a turn)
Error vs baseline
2% lowerError ratio 0.98; 1.00 is a tie.
Tests won
7 / 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

That is the highest of the 120 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 20267.09B USD
June 20265.98B USD
May 20266.17B USD
April 20266.27B USD
March 20266.00B USD
February 20264.98B USD
January 20265.27B USD
December 20255.62B USD
November 20255.02B USD
October 20255.45B USD
September 20254.96B USD
August 20255.29B USD
July 20255.33B USD
June 20254.59B USD
May 20255.08B USD
April 20254.69B USD
March 20254.97B USD
February 20254.46B USD
January 20255.19B USD
December 20244.94B USD
November 20244.93B USD
October 20245.12B USD
September 20244.58B USD
August 20245.11B USD

Source

Data: public market data feeds.

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