AgenticInvestor

Peru Interbank Rate

Peru · Monthly series · EC-PE-INBR

Latest, March 2024

0.8%

+0.00pp from February 2024

Open interactive chartPeru Interbank Rate in the app

5.753.2150.68April 2014March 2025
History through March 2024, the forecast path to March 2025 (dashed) and its 80% interval (shaded).

Forecast

Forecast for March 2025: 0.8%, with an 80% interval of 0.8% to 2.4%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
April 20240.8%0.8%0.8%
May 20240.8%0.8%0.8%
June 20240.8%0.8%0.9%
July 20240.8%0.8%0.9%
August 20240.8%0.8%1.0%
September 20240.8%0.8%1.3%
October 20240.8%0.8%1.5%
November 20240.8%0.8%1.6%
December 20240.8%0.8%1.6%
January 20250.8%0.8%2.2%
February 20250.8%0.8%2.4%
March 20250.8%0.8%2.4%

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
+1%Matches the no-change baseline over 12 tests (12 tests, 4 won)
Direction
60%No clear edge over a coin flip (70 of 116 calls right in 10 tests)
Turning points
4 of 26Anticipated some turns (26 turns in 12 tests, 1 without a turn)
Error vs baseline
1% lowerError ratio 0.99; 1.00 is a tie.
Tests won
4 / 12Complete rolling backtests; ties count as no win.
Test period
2012-04-01 to 2024-03-0112 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 3% of the 119 earlier readings since April 2014.

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
March 20240.8%
February 20240.8%
January 20240.8%
December 20230.8%
November 20230.8%
October 20230.8%
September 20230.8%
August 20230.8%
July 20230.8%
June 20230.8%
May 20230.8%
April 20230.8%
March 20230.8%
February 20230.8%
January 20230.8%
December 20220.8%
November 20220.8%
October 20220.8%
September 20220.8%
August 20220.8%
July 20220.8%
June 20220.8%
May 20220.8%
April 20220.8%

Source

Data: public market data feeds.

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