AgenticInvestor

Oversea-Chinese Banking Corporation Limited

Equity · Monthly series · EQ-O39.SGX

Latest, October 2026

29.29 SGD

-8.4% from September 2026

Open interactive chartOversea-Chinese Banking Corporation Limited in the app

49.1328.778.42November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 26.86 SGD, with an 80% interval of 8.93 SGD to 48.93 SGD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202628.61 SGD21.30 SGD37.30 SGD
December 202628.33 SGD22.43 SGD35.19 SGD
January 202728.13 SGD16.84 SGD40.67 SGD
February 202727.93 SGD18.29 SGD39.04 SGD
March 202727.88 SGD16.68 SGD40.80 SGD
April 202727.70 SGD10.63 SGD48.05 SGD
May 202727.58 SGD15.59 SGD41.47 SGD
June 202727.36 SGD16.07 SGD40.92 SGD
July 202727.22 SGD9.10 SGD49.13 SGD
August 202727.11 SGD10.97 SGD46.85 SGD
September 202726.96 SGD12.31 SGD45.16 SGD
October 202726.86 SGD8.93 SGD48.93 SGD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

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
0%Matches the no-change baseline over 12 tests (12 tests, 4 won)
Direction
43%No clear edge over a coin flip (62 of 144 calls right in 12 tests)
Turning points
48 of 77Anticipated most turns (77 turns in 12 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
4 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
84%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 98% of the 119 earlier readings since November 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
October 202629.29 SGD
September 202631.99 SGD
August 202631.52 SGD
July 202629.13 SGD
June 202624.79 SGD
May 202623.40 SGD
April 202621.90 SGD
March 202621.97 SGD
February 202621.43 SGD
January 202621.23 SGD
December 202519.76 SGD
November 202518.50 SGD
October 202517.03 SGD
September 202516.44 SGD
August 202516.74 SGD
July 202516.87 SGD
June 202516.31 SGD
May 202516.23 SGD
April 202516.15 SGD
March 202517.30 SGD
February 202517.21 SGD
January 202517.40 SGD
December 202416.69 SGD
November 202416.28 SGD

Source

Data: public market data feeds.

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