Vietcombank

Equity · Monthly series · EQ-VCB.HOSE

Latest, October 2026

56,300 VND

-2.9% from September 2026

Open interactive chartVietcombank in the app

83.14K49.36K15.58KNovember 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 57,595 VND, with an 80% interval of 34,784 VND to 80,168 VND.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202656,907 VND53,861 VND60,823 VND
December 202657,408 VND48,282 VND68,467 VND
January 202757,769 VND39,643 VND78,147 VND
February 202757,960 VND43,658 VND73,659 VND
March 202757,961 VND38,776 VND78,420 VND
April 202757,914 VND34,091 VND83,143 VND
May 202757,908 VND43,703 VND72,707 VND
June 202757,949 VND39,635 VND76,859 VND
July 202757,950 VND41,933 VND74,310 VND
August 202757,845 VND42,027 VND73,888 VND
September 202757,750 VND44,029 VND71,542 VND
October 202757,595 VND34,784 VND80,168 VND

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
-1%Matches the no-change baseline over 12 tests (12 tests, 5 won)
Direction
52%No clear edge over a coin flip (74 of 143 calls right in 12 tests)
Turning points
22 of 59Anticipated some turns (59 turns in 12 tests, 0 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
5 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 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

It is above 67% 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 202656,300 VND
September 202658,000 VND
August 202660,100 VND
July 202659,300 VND
June 202662,200 VND
May 202662,000 VND
April 202659,800 VND
March 202658,100 VND
February 202664,900 VND
January 202670,500 VND
December 202557,500 VND
November 202557,400 VND
October 202559,600 VND
September 202562,000 VND
August 202568,600 VND
July 202560,200 VND
June 202557,000 VND
May 202556,400 VND
April 202557,300 VND
March 202564,000 VND
February 202562,408 VND
January 202561,940 VND
December 202461,003 VND
November 202462,408 VND

Source

Data: public market data feeds.

More from Agentic Investor