Vietnam's main stock market index, the VN, fell to 1503 points on July 31, 2025, losing 0.45% from the previous session. Over the past month, the index has climbed 9.05% and is up 22.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Vietnam. Vietnam Ho Chi Minh Stock Index - values, historical data, forecasts and news - updated on July of 2025.

Key information about Vietnam HCMC

• Vietnam HCMC closed at 1,120.2 points in Jun 2023, compared with 1,075.2 points at the previous month end
• Vietnam Equity Market Index: Month End: Vietnam: HCMC data is updated monthly, available from Jul 2000 to Jun 2023, with an average number of 524.5 points
• The data reached an all-time high of 1,498.3 points in Dec 2021 and a record low of 101.5 points in Jul 2000

CEIC calculates monthly Equity Market Index from daily Equity Market Index based on the last business day of the month. Ho Chi Minh Stock Exchange provides Equity Market Index

Prices for Vietnam Ho Chi Minh Stock Index including live quotes, historical charts and news. Vietnam Ho Chi Minh Stock Index was last updated by Trading Economics this July 31 of 2025.

Vietnam Ho Chi Minh Stock Exchange: Index: Total Return: VN All Share data was reported at 1,534.110 NA in Apr 2025. This records a decrease from the previous number of 1,620.090 NA for Mar 2025. Vietnam Ho Chi Minh Stock Exchange: Index: Total Return: VN All Share data is updated monthly, averaging 1,014.345 NA from Jul 2015 (Median) to Apr 2025, with 118 observations. The data reached an all-time high of 1,782.510 NA in Dec 2021 and a record low of 557.370 NA in Sep 2015. Vietnam Ho Chi Minh Stock Exchange: Index: Total Return: VN All Share data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Vietnam – Table VN.EDI.SE: Ho Chi Minh Stock Exchange: Monthly.

Prices for Vietnam Hanoi Stock Exchange Equity Index including live quotes, historical charts and news. Vietnam Hanoi Stock Exchange Equity Index was last updated by Trading Economics this July 31 of 2025.

Vietnam Ho Chi Minh Stock Exchange: Index: VN Index data was reported at 1,264.480 NA in Oct 2024. This records a decrease from the previous number of 1,287.940 NA for Sep 2024. Vietnam Ho Chi Minh Stock Exchange: Index: VN Index data is updated monthly, averaging 949.940 NA from Jun 2013 (Median) to Oct 2024, with 137 observations. The data reached an all-time high of 1,498.280 NA in Dec 2021 and a record low of 472.700 NA in Aug 2013. Vietnam Ho Chi Minh Stock Exchange: Index: VN Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Vietnam – Table VN.EDI.SE: Ho Chi Minh Stock Exchange: Monthly.

Stock market return (%, year-on-year) in Vietnam was reported at 46.82 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Vietnam - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Equity Market Index: Local Currency data was reported at 242.452 2010=100 in Apr 2025. This records a decrease from the previous number of 263.808 2010=100 for Mar 2025. Equity Market Index: Local Currency data is updated monthly, averaging 111.570 2010=100 from Jul 2000 (Median) to Apr 2025, with 298 observations. The data reached an all-time high of 298.859 2010=100 in Feb 2022 and a record low of 20.085 2010=100 in Jul 2000. Equity Market Index: Local Currency data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.GEM: Equity Market Index. Local equity market index valued in local currency unit (LCU) terms

Stock price volatility in Vietnam was reported at 22.5 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Vietnam - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Vietnam Ho Chi Minh Stock Exchange: Index: Total Return: VN30 data was reported at 1,552.850 NA in Apr 2025. This records a decrease from the previous number of 1,615.490 NA for Mar 2025. Vietnam Ho Chi Minh Stock Exchange: Index: Total Return: VN30 data is updated monthly, averaging 1,062.965 NA from Jul 2015 (Median) to Apr 2025, with 118 observations. The data reached an all-time high of 1,728.560 NA in Nov 2021 and a record low of 573.180 NA in Jan 2016. Vietnam Ho Chi Minh Stock Exchange: Index: Total Return: VN30 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Vietnam – Table VN.EDI.SE: Ho Chi Minh Stock Exchange: Monthly.

Vietnam HCMC: Trade Volume; All data was reported at 21,349,445,475.000 Unit in Apr 2025. This records an increase from the previous number of 19,634,699,290.000 Unit for Mar 2025. Vietnam HCMC: Trade Volume; All data is updated monthly, averaging 1,221,344,354.000 Unit from Jul 2000 (Median) to Apr 2025, with 298 observations. The data reached an all-time high of 24,105,219,211.000 Unit in Aug 2023 and a record low of 14,500.000 Unit in Jul 2000. Vietnam HCMC: Trade Volume; All data remains active status in CEIC and is reported by Ho Chi Minh Stock Exchange. The data is categorized under Global Database’s Vietnam – Table VN.Z: Ho Chi Minh City Stock Exchange (HOSE): Index, Trade Value and Volume. [COVID-19-IMPACT]

stock indexes in Vietnam. name, image, weighting method, type, date Foundation, Country, continent, Stock Market, Market capitalization, Website, legal entity

The dataset comprises Stock Prices and Volume data for the 30 companies listed in the VN30 Index in Vietnam. The dataset spans a period of ten years, from January 1st, 2013 to June 30th, 2023.

ABC: Ngân hàng ACB

BCM: Tổng CTCP Đầu tư và phát triển Công nghiệp

BID: Ngân hàng TMCP Đầu tư và Phát triển Việt Nam

BVH: Tập đoàn Bảo Việt

CTG: Ngân hàng TMCP Công Thương Việt Nam

FPT: CTCP FPT

GAS: Tổng Công ty khí Việt Nam - CTCP

GVR: Tập đoàn Công nghiệp Cao su Việt Nam

HDB: Ngân hàng TMCP Phát triển Thành phố Hồ Chí Minh

HPG: CTCP Tập đoàn Hòa Phát

MBB: Ngân hàng TMCP Quân Đội

MSN: CTCP Tập đoàn MaSan

MWG: CTCP Đầu tư Thế giới Di động

NVL: CTCP Tập đoàn Đầu tư Địa ốc No Va

PDR: CTCP Phát triển Bất động sản Phát Đạt

PLX: Tập đoàn Xăng dầu Việt Nam

POW: Tổng Công ty Điện lực Dầu khí Việt Nam - CTCP

SAB: Tổng Công ty Cổ phần Bia – Rượu – Nước giải khát Sài Gòn

SSI: CTCP Chứng khoán SSI

STB: Ngân hàng TMCP Sài Gòn Thương Tín

TCB: Ngân hàng TMCP Kỹ thương Việt Nam

TPB: Ngân Hàng TMCP Tiên Phong

VCB: Ngân hàng TMCP Ngoại thương Việt Nam

VHM: CTCP Vinhomes

VIB: Ngân hàng Thương mại cổ phần Quốc tế Việt Nam

VIC: Tập đoàn Vingroup - CTCP

VJC: CTCP Hàng không VIETJET

VNM: CTCP Sữa Việt Nam

VPB: Ngân hàng TMCP Việt Nam Thịnh Vượng

VRE: CTCP Vincom Retail

Vietnam Ho Chi Minh Stock Exchange: Index: VN Mid Cap data was reported at 1,755.420 NA in Apr 2025. This records a decrease from the previous number of 1,931.310 NA for Mar 2025. Vietnam Ho Chi Minh Stock Exchange: Index: VN Mid Cap data is updated monthly, averaging 1,048.990 NA from Nov 2014 (Median) to Apr 2025, with 126 observations. The data reached an all-time high of 2,232.770 NA in Dec 2021 and a record low of 631.360 NA in Dec 2014. Vietnam Ho Chi Minh Stock Exchange: Index: VN Mid Cap data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Vietnam – Table VN.EDI.SE: Ho Chi Minh Stock Exchange: Monthly.

Key information about Vietnam Market Capitalization

• Vietnam Market Capitalization accounted for 220.052 USD bn in Feb 2025, compared with a percentage of 216.705 USD bn in the previous month
• Vietnam Market Capitalization is updated monthly, available from Jan 2010 to Feb 2025
• The data reached an all-time high of 255.722 USD bn in Mar 2022 and a record low of 21.787 USD bn in Dec 2011

CEIC converts monthly Market Capitalization into USD. Ho Chi Minh Stock Exchange provides Market Capitalization in local currency. The State Bank of Vietnam period end market exchange rate is used for currency conversions. Market Capitalization covers Ho Chi Minh Stock Exchange only, which is the main stock market in Vietnam.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

LON:VEIL VIETNAM ENTERPRISE INVESTMENTS LIMITED

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

VinaCapital Vietnam Opportunity (VOF) - Riding the Dragon's Growth

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Vietnam HCMC: Trade Value: All data was reported at 468,877.479 VND bn in Apr 2025. This records an increase from the previous number of 439,045.307 VND bn for Mar 2025. Vietnam HCMC: Trade Value: All data is updated monthly, averaging 29,825.045 VND bn from Jul 2000 (Median) to Apr 2025, with 298 observations. The data reached an all-time high of 722,171.811 VND bn in Nov 2021 and a record low of 0.247 VND bn in Jul 2000. Vietnam HCMC: Trade Value: All data remains active status in CEIC and is reported by Ho Chi Minh Stock Exchange. The data is categorized under Global Database’s Vietnam – Table VN.Z: Ho Chi Minh City Stock Exchange (HOSE): Index, Trade Value and Volume. [COVID-19-IMPACT]

Vietnam HCMC: Trade Volume: Shares data was reported at 3,260,455,312.000 Unit in Nov 2018. This records a decrease from the previous number of 4,448,783,764.000 Unit for Oct 2018. Vietnam HCMC: Trade Volume: Shares data is updated monthly, averaging 558,565,239.000 Unit from Jul 2000 (Median) to Nov 2018, with 221 observations. The data reached an all-time high of 6,058,620,853.000 Unit in Jan 2018 and a record low of 14,500.000 Unit in Jul 2000. Vietnam HCMC: Trade Volume: Shares data remains active status in CEIC and is reported by Ho Chi Minh Stock Exchange. The data is categorized under Global Database’s Vietnam – Table VN.Z001: Hochiminh City Securities Trading Centre (HCMC): Index, Trade Value and Volume.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

VinFast Warrants: (VFSWW) A Bet on Vietnam's Automotive Future

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data