AgenticInvestor

Republic of the Congo Loans To Private Sector

Republic of the Congo · Monthly series · EC-CG-LPS

Latest, July 2014

1.02T XOF

+0.4% from June 2014

Open interactive chartRepublic of the Congo Loans To Private Sector in the app

1.389T733.3B77.2BJanuary 2005July 2015
History through July 2014, the forecast path to July 2015 (dashed) and its 80% interval (shaded).

Forecast

Forecast for July 2015: 1.12T XOF, with an 80% interval of 832.98B XOF to 1.39T XOF.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
August 20141.03T XOF990.23B XOF1.07T XOF
September 20141.04T XOF981.99B XOF1.11T XOF
October 20141.05T XOF971.07B XOF1.13T XOF
November 20141.06T XOF956.51B XOF1.17T XOF
December 20141.07T XOF954.43B XOF1.21T XOF
January 20151.08T XOF938.06B XOF1.23T XOF
February 20151.09T XOF923.74B XOF1.26T XOF
March 20151.09T XOF900.00B XOF1.29T XOF
April 20151.10T XOF874.11B XOF1.32T XOF
May 20151.11T XOF860.73B XOF1.33T XOF
June 20151.11T XOF854.86B XOF1.37T XOF
July 20151.12T XOF832.98B XOF1.39T XOF

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Limited evidence

At least 6 complete tests are required; 3 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aToo few tests (3 tests, 6 needed) (3 tests, 2 won)
Direction
n/aToo few tests (3 tests, 6 needed) (21 of 36 calls right in 3 tests)
Turning points
n/aToo few tests (3 tests, 6 needed) (17 turns in 3 tests, 0 without a turn)
Error vs baseline
15% lowerError ratio 0.85; 1.00 is a tie.
Tests won
2 / 3Complete rolling backtests; ties count as no win.
Test period
2011-08-01 to 2014-07-0112 observations ahead per test.
80% band coverage
75%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 111 readings since January 2005.

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
July 20141.02T XOF
June 20141.02T XOF
May 2014999.50B XOF
April 2014991.60B XOF
March 2014993.40B XOF
February 2014956.40B XOF
January 2014895.60B XOF
December 2013790.00B XOF
November 2013783.30B XOF
October 2013755.30B XOF
September 2013761.20B XOF
August 2013754.40B XOF
July 2013711.20B XOF
June 2013728.30B XOF
May 2013703.70B XOF
April 2013761.20B XOF
March 2013749.80B XOF
February 2013777.30B XOF
January 2013781.60B XOF
December 2012771.90B XOF
November 2012715.50B XOF
October 2012704.10B XOF
September 2012721.00B XOF
August 2012679.30B XOF

Source

Data: public market data feeds.

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