AgenticInvestor

Sudan CPI Transportation

Sudan · Monthly series · EC-SD-CPIT

Latest, August 2018

2,231.7 pts

+0.2% from July 2018

Open interactive chartSudan CPI Transportation in the app

34651785104.9January 2009August 2019
History through August 2018, the forecast path to August 2019 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2019: 2,520.9 pts, with an 80% interval of 1,654.4 pts to 3,465.2 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 20182,226.4 pts2,173.5 pts2,279.4 pts
October 20182,241.3 pts2,148.9 pts2,335.5 pts
November 20182,259.3 pts2,126.0 pts2,414.5 pts
December 20182,292.0 pts2,057.7 pts2,495.2 pts
January 20192,328.2 pts2,055.5 pts2,678.4 pts
February 20192,344.0 pts2,030.6 pts2,791.9 pts
March 20192,393.2 pts1,959.7 pts2,912.0 pts
April 20192,427.1 pts1,889.5 pts3,090.3 pts
May 20192,487.7 pts1,840.3 pts3,285.4 pts
June 20192,502.3 pts1,758.2 pts3,286.2 pts
July 20192,507.0 pts1,720.8 pts3,386.8 pts
August 20192,520.9 pts1,654.4 pts3,465.2 pts

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, 3 won)
Direction
n/aToo few tests (3 tests, 6 needed) (34 of 36 calls right in 3 tests)
Turning points
n/aToo few tests (3 tests, 6 needed) (2 turns in 3 tests, 1 without a turn)
Error vs baseline
10% lowerError ratio 0.90; 1.00 is a tie.
Tests won
3 / 3Complete rolling backtests; ties count as no win.
Test period
2015-09-01 to 2018-08-0112 observations ahead per test.
80% band coverage
42%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 98 readings since January 2009.

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
August 20182,231.7 pts
July 20182,226.9 pts
June 20182,226.9 pts
May 20182,226.9 pts
April 20182,187.9 pts
March 20182,087.7 pts
February 20182,074.6 pts
January 20182,048.2 pts
December 20171,325.7 pts
November 20171,273.9 pts
October 20171,270.9 pts
September 20171,270.4 pts
August 20171,269.1 pts
July 20171,266.0 pts
June 20171,260.6 pts
May 20171,246.3 pts
April 20171,246.0 pts
March 20171,245.6 pts
February 20171,245.0 pts
January 20171,243.5 pts
December 20161,083.9 pts
November 20161,039.1 pts
October 2016839.1 pts
September 2016829.3 pts

Source

Data: public market data feeds.

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