AgenticInvestor

Peru Employed Persons

Peru · Monthly series · EC-PE-EMP

Latest, September 2026

6,013,300.0 pts

+0.8% from August 2026

Open interactive chartPeru Employed Persons in the app

6.481M4.339M2.198MOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 6,041,804.0 pts, with an 80% interval of 5,612,069.2 pts to 6,437,153.6 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20266,019,274.0 pts5,868,092.8 pts6,160,549.7 pts
November 20266,027,325.0 pts5,732,832.4 pts6,311,126.7 pts
December 20266,026,417.5 pts5,776,457.7 pts6,260,556.7 pts
January 20276,009,098.0 pts5,779,127.8 pts6,224,283.5 pts
February 20276,011,386.5 pts5,750,168.7 pts6,262,281.7 pts
March 20276,019,563.0 pts5,706,721.7 pts6,314,387.5 pts
April 20276,029,692.0 pts5,538,575.2 pts6,480,871.7 pts
May 20276,020,933.0 pts5,629,136.6 pts6,381,493.9 pts
June 20276,025,211.0 pts5,703,498.4 pts6,323,276.7 pts
July 20276,037,106.0 pts5,839,879.1 pts6,220,915.0 pts
August 20276,047,269.0 pts5,601,013.6 pts6,450,112.1 pts
September 20276,041,804.0 pts5,612,069.2 pts6,437,153.6 pts

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

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+30%Beats the no-change baseline over 12 tests (12 tests, 9 won)
Direction
81%Beats a coin flip (117 of 144 calls right in 12 tests)
Turning points
33 of 49Anticipated most turns (49 turns in 12 tests, 0 without a turn)
Error vs baseline
30% lowerError ratio 0.70; 1.00 is a tie.
Tests won
9 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 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 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 20266,013,300.0 pts
August 20265,964,900.0 pts
July 20265,988,700.0 pts
June 20265,894,400.0 pts
May 20265,880,000.0 pts
April 20265,853,300.0 pts
March 20265,702,500.0 pts
February 20265,716,300.0 pts
January 20265,734,800.0 pts
December 20255,621,300.0 pts
November 20255,796,600.0 pts
October 20255,719,400.0 pts
September 20255,674,000.0 pts
August 20255,621,900.0 pts
July 20255,562,900.0 pts
June 20255,481,400.0 pts
May 20255,512,200.0 pts
April 20255,518,400.0 pts
March 20255,449,300.0 pts
February 20255,459,400.0 pts
January 20255,461,200.0 pts
December 20245,554,300.0 pts
November 20245,564,200.0 pts
October 20245,505,000.0 pts

Source

Data: public market data feeds.

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