Indonesia Capital Flows

Indonesia · Quarterly series · EC-ID-CF

Latest, Q2 2026

11.98B USD

+16.74B USD from Q1 2026

Open interactive chartIndonesia Capital Flows in the app

28.26B2.63B-23BQ1 2010Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 3.60B USD, with an 80% interval of -15.82B USD to 21.68B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 20263.74B USD-7.55B USD14.25B USD
Q4 20264.11B USD-23.00B USD28.26B USD
Q1 20273.23B USD-8.57B USD14.46B USD
Q2 20273.60B USD-15.82B USD21.68B USD

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
+14%Beats the no-change baseline over 8 tests (8 tests, 6 won)
Direction
69%No clear edge over a coin flip (22 of 32 calls right in 8 tests)
Turning points
13 of 15Anticipated most turns (15 turns in 8 tests, 0 without a turn)
Error vs baseline
14% lowerError ratio 0.86; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 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 95% 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 202611.98B USD
Q1 2026-4.76B USD
Q4 20258.94B USD
Q3 2025-7.96B USD
Q2 2025-3.52B USD
Q1 2025-438.0M USD
Q4 20249.65B USD
Q3 20246.58B USD
Q2 20242.96B USD
Q1 2024-1.64B USD
Q4 20239.78B USD
Q3 2023-65.6M USD
Q2 2023-4.85B USD
Q1 20233.69B USD
Q4 2022685.5M USD
Q3 2022-5.38B USD
Q2 2022-1.33B USD
Q1 2022-1.85B USD
Q4 2021-2.13B USD
Q3 20217.32B USD
Q2 20211.54B USD
Q1 20215.84B USD
Q4 2020-933.9M USD
Q3 2020862.9M USD

Source

Data: public market data feeds.

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