AgenticInvestor

South Africa Residential Property Prices

South Africa · Monthly series · EC-ZA-RPP

Latest, April 2026

7.9 pts

+0.5% from March 2026

Open interactive chartSouth Africa Residential Property Prices in the app

9.5335.4961.46May 2016April 2027
History through April 2026, the forecast path to April 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for April 2027: 6.8 pts, with an 80% interval of 4.1 pts to 9.3 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
May 20267.9 pts7.5 pts8.2 pts
June 20267.8 pts7.2 pts8.4 pts
July 20267.7 pts6.9 pts8.5 pts
August 20267.7 pts6.4 pts8.8 pts
September 20267.6 pts6.0 pts8.9 pts
October 20267.5 pts5.5 pts9.1 pts
November 20267.3 pts5.0 pts9.3 pts
December 20267.2 pts4.9 pts9.2 pts
January 20277.0 pts4.3 pts9.5 pts
February 20276.9 pts4.2 pts9.4 pts
March 20276.8 pts4.4 pts9.1 pts
April 20276.8 pts4.1 pts9.3 pts

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
+21%Beats the no-change baseline over 12 tests (12 tests, 7 won)
Direction
79%Beats a coin flip (114 of 144 calls right in 12 tests)
Turning points
3 of 21Anticipated some turns (21 turns in 12 tests, 1 without a turn)
Error vs baseline
21% lowerError ratio 0.79; 1.00 is a tie.
Tests won
7 / 12Complete rolling backtests; ties count as no win.
Test period
2014-05-01 to 2026-04-0112 observations ahead per test.
80% band coverage
79%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 May 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
April 20267.9 pts
March 20267.9 pts
February 20267.7 pts
January 20267.1 pts
December 20256.5 pts
November 20256.1 pts
October 20255.5 pts
September 20255.0 pts
August 20254.8 pts
July 20254.6 pts
June 20254.6 pts
May 20254.3 pts
April 20254.0 pts
March 20253.5 pts
February 20253.4 pts
January 20253.8 pts
December 20243.9 pts
November 20244.0 pts
October 20244.0 pts
September 20243.9 pts
August 20243.7 pts
July 20243.4 pts
June 20243.1 pts
May 20242.9 pts

Source

Data: public market data feeds.

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