Peru Balance Of Trade

Peru · Monthly series · EC-PE-BOT

Latest, September 2026

3.95B USD

-14.6% from August 2026

Open interactive chartPeru Balance Of Trade in the app

7.753B3.647B-460MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 3.84B USD, with an 80% interval of 322.6M USD to 7.75B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20263.81B USD2.59B USD5.12B USD
November 20263.98B USD2.75B USD5.34B USD
December 20264.18B USD2.87B USD5.63B USD
January 20273.72B USD2.22B USD5.34B USD
February 20273.75B USD2.26B USD5.43B USD
March 20273.55B USD1.68B USD5.68B USD
April 20273.14B USD1.21B USD5.39B USD
May 20273.22B USD979.3M USD5.82B USD
June 20273.54B USD1.99B USD5.31B USD
July 20273.40B USD1.10B USD6.06B USD
August 20273.52B USD341.2M USD7.22B USD
September 20273.84B USD322.6M USD7.75B USD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Weak evidence

The serving forecast made larger errors than the no-change baseline in these tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-25%Trails the no-change baseline over 7 tests (7 tests, 2 won)
Direction
58%No clear edge over a coin flip (49 of 84 calls right in 7 tests)
Turning points
34 of 46Anticipated most turns (46 turns in 7 tests, 0 without a turn)
Error vs baseline
25% higherError ratio 1.25; 1.00 is a tie.
Tests won
2 / 7Complete rolling backtests; ties count as no win.
Test period
2019-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
83%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 94% 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 20263.95B USD
August 20264.62B USD
July 20263.63B USD
June 20262.49B USD
May 20263.40B USD
April 20263.24B USD
March 20264.04B USD
February 20264.41B USD
January 20264.70B USD
December 20254.16B USD
November 20253.89B USD
October 20254.50B USD
September 20254.39B USD
August 20252.77B USD
July 20252.43B USD
June 20252.79B USD
May 20251.96B USD
April 20251.68B USD
March 20252.44B USD
February 20252.27B USD
January 20252.17B USD
December 20242.37B USD
November 20243.20B USD
October 20241.68B USD

Source

Data: public market data feeds.

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