Ivory Coast Consumer Spending

Name: Ivory Coast Consumer Spending
Creator: Agentic Investor

Ivory Coast · Annual series · EC-CI-CS

Latest, 2025

31.31B XOF

+6.3% from 2024

Open interactive chartIvory Coast Consumer Spending in the app

History through 2025, the forecast path to 2028 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2028: 32.60B XOF, with an 80% interval of 2.73B XOF to 70.17B XOF.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2026	31.16B XOF	24.01B XOF	39.48B XOF
2027	31.94B XOF	16.48B XOF	50.48B XOF
2028	32.60B XOF	2.73B XOF	70.17B XOF

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, 9 won)
Direction: 72%No clear edge over a coin flip (26 of 36 calls right in 12 tests)
Turning points: 1 of 9Anticipated some turns (9 turns in 12 tests, 4 without a turn)

Error vs baseline: 2% higherError ratio 1.02; 1.00 is a tie.
Tests won: 9 / 12Complete rolling backtests; ties count as no win.
Test period: 1990-12-01 to 2025-12-013 observations ahead per test.
80% band coverage: 81%Observed outcomes inside the band across all stored test windows.

Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
Evaluated 2026-11-15 against the cached history through 2025-12-01.
This is an evaluation of the serving model; it does not establish a winner across four model classes.

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 56% of the 9 earlier readings since 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.
Period	Value
2025	31.31B XOF
2024	29.44B XOF
2023	30.67B XOF
2022	41.57B XOF
2021	39.59B XOF
2020	39.95B XOF
2019	40.77B XOF
2018	26.55B XOF
2017	24.63B XOF
2016	23.74B XOF
2015	21.36B XOF
2014	18.78B XOF
2013	17.03B XOF
2012	16.34B XOF
2011	14.92B XOF
2010	15.58B XOF
2009	14.89B XOF
2008	14.35B XOF
2007	14.38B XOF
2006	13.53B XOF
2005	13.29B XOF
2004	13.32B XOF
2003	13.55B XOF
2002	11.54B XOF

Source

Data: public market data feeds.