Nigeria Remittances

Nigeria · Quarterly series · EC-NG-REM

Latest, Q2 2026

5.82B USD

+10.0% from Q1 2026

Open interactive chartNigeria Remittances in the app

6.284B3.143B1.318MQ1 1990Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 5.70B USD, with an 80% interval of 4.74B USD to 6.17B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20265.75B USD5.49B USD5.86B USD
Q4 20265.74B USD5.06B USD6.04B USD
Q1 20275.72B USD5.13B USD5.99B USD
Q2 20275.70B USD4.74B USD6.17B USD

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
+32%Beats the no-change baseline over 6 tests (6 tests, 3 won)
Direction
58%No clear edge over a coin flip (14 of 24 calls right in 6 tests)
Turning points
2 of 10Anticipated some turns (10 turns in 6 tests, 0 without a turn)
Error vs baseline
32% lowerError ratio 0.68; 1.00 is a tie.
Tests won
3 / 6Complete rolling backtests; ties count as no win.
Test period
2020-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
88%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 82% of the 39 earlier readings since Q3 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
Q2 20265.82B USD
Q1 20265.30B USD
Q4 20255.72B USD
Q3 20255.45B USD
Q2 20255.51B USD
Q1 20255.12B USD
Q4 20245.28B USD
Q3 20245.62B USD
Q2 20245.56B USD
Q1 20245.35B USD
Q4 20234.90B USD
Q3 20234.58B USD
Q2 20234.95B USD
Q1 20234.85B USD
Q4 20224.95B USD
Q3 20224.80B USD
Q2 20224.95B USD
Q1 20225.16B USD
Q4 20215.03B USD
Q3 20214.98B USD
Q2 20214.93B USD
Q1 20214.29B USD
Q4 20204.09B USD
Q3 20203.89B USD

Source

Data: public market data feeds.

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