Seychelles Capital Flows

Seychelles · Quarterly series · EC-SC-CF

Latest, Q2 2026

-31.9M USD

-25.4M USD from Q1 2026

Open interactive chartSeychelles Capital Flows in the app

457.4M165.8M-125.7MQ1 2007Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: -32.9M USD, with an 80% interval of -59.5M USD to -9.0M USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 2026-39.5M USD-125.7M USD38.9M USD
Q4 2026-43.2M USD-115.1M USD25.1M USD
Q1 2027-36.6M USD-102.0M USD24.1M USD
Q2 2027-32.9M USD-59.5M USD-9.0M 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
+13%Beats the no-change baseline over 8 tests (8 tests, 4 won)
Direction
59%No clear edge over a coin flip (19 of 32 calls right in 8 tests)
Turning points
9 of 18Anticipated most turns (18 turns in 8 tests, 0 without a turn)
Error vs baseline
13% lowerError ratio 0.87; 1.00 is a tie.
Tests won
4 / 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 44% 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 2026-31.9M USD
Q1 2026-6.5M USD
Q4 2025-74.6M USD
Q3 202512.6M USD
Q2 2025-13.0M USD
Q1 2025-31.6M USD
Q4 2024-53.2M USD
Q3 2024-12.4M USD
Q2 2024-73.6M USD
Q1 20244.6M USD
Q4 2023-25.0M USD
Q3 2023-99.1M USD
Q2 2023-82.9M USD
Q1 2023-33.2M USD
Q4 2022-37.0M USD
Q3 2022-52.7M USD
Q2 2022-12.0M USD
Q1 20221.1M USD
Q4 2021-54.3M USD
Q3 2021-56.0M USD
Q2 2021-28.2M USD
Q1 2021-105.6M USD
Q4 2020-38.1M USD
Q3 2020-53.7M USD

Source

Data: public market data feeds.

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