AgenticInvestor

Industrial and Commercial Bank of China Limited Class A

Equity · Monthly series · EQ-601398.SSE

Latest, October 2026

8.75 CNY

+5.7% from September 2026

Open interactive chartIndustrial and Commercial Bank of China Limited Class A in the app

12.598.3684.15November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 8.60 CNY, with an 80% interval of 5.24 CNY to 12.59 CNY.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20268.72 CNY7.97 CNY9.50 CNY
December 20268.73 CNY8.30 CNY9.19 CNY
January 20278.73 CNY7.47 CNY10.09 CNY
February 20278.74 CNY6.64 CNY11.08 CNY
March 20278.75 CNY7.45 CNY10.18 CNY
April 20278.74 CNY7.37 CNY10.26 CNY
May 20278.72 CNY6.49 CNY11.18 CNY
June 20278.71 CNY5.90 CNY11.84 CNY
July 20278.68 CNY6.10 CNY11.61 CNY
August 20278.66 CNY6.22 CNY11.47 CNY
September 20278.62 CNY6.50 CNY11.11 CNY
October 20278.60 CNY5.24 CNY12.59 CNY

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
+6%Matches the no-change baseline over 12 tests (12 tests, 8 won)
Direction
68%No clear edge over a coin flip (98 of 144 calls right in 12 tests)
Turning points
25 of 61Anticipated some turns (61 turns in 12 tests, 0 without a turn)
Error vs baseline
6% lowerError ratio 0.94; 1.00 is a tie.
Tests won
8 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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 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 20268.75 CNY
September 20268.28 CNY
August 20268.07 CNY
July 20267.99 CNY
June 20267.07 CNY
May 20267.22 CNY
April 20267.45 CNY
March 20267.64 CNY
February 20266.92 CNY
January 20267.25 CNY
December 20257.93 CNY
November 20258.11 CNY
October 20257.78 CNY
September 20257.30 CNY
August 20257.43 CNY
July 20257.56 CNY
June 20257.59 CNY
May 20257.07 CNY
April 20257.01 CNY
March 20256.89 CNY
February 20256.87 CNY
January 20256.82 CNY
December 20246.92 CNY
November 20246.15 CNY

Source

Data: public market data feeds.

More from Agentic Investor