Republic of the Congo Inflation Rate YoY

Republic of the Congo · Monthly series · EC-CG-IRYY

Latest, August 2026

4.4%

-2.47pp from July 2026

Open interactive chartRepublic of the Congo Inflation Rate YoY in the app

8.7013.626-1.45September 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 2.9%, with an 80% interval of -0.9% to 7.6%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 20264.4%2.9%6.1%
October 20264.3%1.7%7.0%
November 20264.2%1.6%7.0%
December 20263.9%-0.5%8.7%
January 20273.7%1.1%6.5%
February 20273.3%1.2%5.8%
March 20273.3%0.1%7.0%
April 20273.0%-1.0%7.8%
May 20273.0%0.6%5.9%
June 20272.9%0.3%6.0%
July 20272.9%-0.9%7.4%
August 20272.9%-0.9%7.6%

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
0%Matches the no-change baseline over 12 tests (12 tests, 7 won)
Direction
63%No clear edge over a coin flip (91 of 144 calls right in 12 tests)
Turning points
22 of 71Anticipated some turns (71 turns in 12 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 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 87% 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 20264.4%
July 20266.9%
June 20266.8%
May 20264.5%
April 20262.9%
March 20260.6%
February 20262.2%
January 2026-0.2%
December 2025-0.9%
November 2025-1.2%
October 2025-0.2%
September 20251.1%
August 20251.6%
July 20250.9%
June 20251.1%
May 20253.3%
April 20255.0%
March 20256.6%
February 20256.2%
January 20255.9%
December 20246.3%
November 20242.5%
October 20242.6%
September 20242.5%

Source

Data: public market data feeds.

More from Agentic Investor

Also stored for Republic of the Congo