Ho Chi Minh City Development Joint Stock Commercial Bank

Equity · Monthly series · EQ-HDB.HOSE

Latest, October 2026

22,400 VND

+5.9% from September 2026

Open interactive chartHo Chi Minh City Development Joint Stock Commercial Bank in the app

45.65K22.4K-851.2January 2018October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 22,400 VND, with an 80% interval of -851 VND to 45,651 VND.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202622,400 VND17,432 VND27,368 VND
December 202622,400 VND3,106 VND41,694 VND
January 202722,400 VND10,708 VND34,092 VND
February 202722,400 VND11,837 VND32,962 VND
March 202722,400 VND9,052 VND35,748 VND
April 202722,400 VND15,333 VND29,466 VND
May 202722,400 VND17,149 VND27,651 VND
June 202722,400 VND16,337 VND28,463 VND
July 202722,400 VND5,780 VND39,020 VND
August 202722,400 VND8,474 VND36,326 VND
September 202722,400 VND5,789 VND39,011 VND
October 202722,400 VND-851 VND45,651 VND

Model: Exponential smoothing (statistical). Forecast generated 2026-11-13.

AI confidence

Limited evidence

At least 6 complete tests are required; 3 are available.

Model: Exponential smoothing (statistical)

Accuracy vs naive
n/aToo few tests (3 tests, 6 needed) (3 tests, 2 won)
Direction
n/aToo few tests (3 tests, 6 needed) (19 of 35 calls right in 3 tests)
Turning points
n/aToo few tests (3 tests, 6 needed) (16 turns in 3 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
2 / 3Complete recent tests excluded from model selection; ties count as no win.
Test period
2023-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
78%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

5 of 5 models evaluatedModels are selected on older tests and evaluated on separate recent tests. All four classes completed their backtests.

Models tested

Exponential smoothing scored lowest on the 2 older tests (1.00) and was chosen. The 3 recent tests played no part in the choice and give its grade (1.00). The search for a model that beats the naive forecast on both sets of tests goes on. Scores are MASE: a model's errors divided by the naive forecast's, so 1 is a tie.

4 model classes completed the tests: Statistical, Machine learning, Foundation model, Neural network.

Every model tested on this series.
ModelClass and computeOlder testsRecent testsRole
AutoETS (statistical)Statistical · CPU1.001.00Serving
Naive forecast (last value held)Benchmark · CPU1.001.00Benchmark
CatBoost (machine learning)Machine learning · CPU1.020.95Tested
Timestral (foundation model)Foundation model · CPU1.521.04Tested
ci-proto (foundation model)Foundation model · CPU1.891.60Tested
N-HiTS (neural network)Neural network · CPU1.920.92Tested

Uses ci-proto, released by Continuous Intelligence. Continuous Intelligence does not endorse or approve this product or service. (ci-proto is shown as State-space model, 167M.)

Reading

It is above 99% of the 105 earlier readings since January 2018.

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 202622,400 VND
September 202621,154 VND
August 202621,385 VND
July 202619,385 VND
June 202619,885 VND
May 202619,923 VND
April 202620,462 VND
March 202619,577 VND
February 202621,500 VND
January 202621,769 VND
December 202522,846 VND
November 202518,980 VND
October 202518,980 VND
September 202518,387 VND
August 202519,840 VND
July 202515,688 VND
June 202512,930 VND
May 202512,871 VND
April 202512,723 VND
March 202513,108 VND
February 202513,672 VND
January 202513,434 VND
December 202415,125 VND
November 202412,530 VND

Source

Data: public market data feeds.

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