AgenticInvestor

Seychelles Consumer Credit

Seychelles · Monthly series · EC-SC-CCR

Latest, September 2026

2.92B SCR

+1.5% from August 2026

Open interactive chartSeychelles Consumer Credit in the app

3.517B2.303B1.088BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 3.25B SCR, with an 80% interval of 2.87B SCR to 3.52B SCR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20262.96B SCR2.92B SCR3.00B SCR
November 20262.99B SCR2.94B SCR3.04B SCR
December 20263.02B SCR2.96B SCR3.08B SCR
January 20273.05B SCR2.99B SCR3.11B SCR
February 20273.08B SCR3.01B SCR3.14B SCR
March 20273.10B SCR3.03B SCR3.17B SCR
April 20273.13B SCR3.04B SCR3.20B SCR
May 20273.15B SCR3.03B SCR3.25B SCR
June 20273.18B SCR3.03B SCR3.30B SCR
July 20273.20B SCR3.04B SCR3.33B SCR
August 20273.23B SCR2.92B SCR3.46B SCR
September 20273.25B SCR2.87B SCR3.52B SCR

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
+52%Beats the no-change baseline over 12 tests (12 tests, 10 won)
Direction
92%Beats a coin flip (133 of 144 calls right in 12 tests)
Turning points
2 of 34Anticipated some turns (34 turns in 12 tests, 3 without a turn)
Error vs baseline
52% lowerError ratio 0.48; 1.00 is a tie.
Tests won
10 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 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

That is the highest of the 120 readings since October 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
September 20262.92B SCR
August 20262.88B SCR
July 20262.81B SCR
June 20262.78B SCR
May 20262.75B SCR
April 20262.73B SCR
March 20262.70B SCR
February 20262.67B SCR
January 20262.65B SCR
December 20252.63B SCR
November 20252.59B SCR
October 20252.55B SCR
September 20252.50B SCR
August 20252.47B SCR
July 20252.43B SCR
June 20252.39B SCR
May 20252.37B SCR
April 20252.33B SCR
March 20252.30B SCR
February 20252.26B SCR
January 20252.23B SCR
December 20242.21B SCR
November 20242.17B SCR
October 20242.12B SCR

Source

Data: public market data feeds.

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