Singapore's main stock market index, the STI, fell to 4236 points on August 11, 2025, losing 0.10% from the previous session. Over the past month, the index has climbed 3.08% and is up 30.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Singapore. Singapore Stock Market (STI) - values, historical data, forecasts and news - updated on August of 2025.

Key information about Singapore FTSE Strait Times

• Singapore FTSE Strait Times closed at 3,895.7 points in Feb 2025, compared with 3,855.8 points at the previous month end
• Singapore Equity Market Index: Month End: FTSE Strait Times data is updated monthly, available from Jan 1985 to Feb 2025, with an average number of 2,122.9 points
• The data reached an all-time high of 3,895.7 points in Feb 2025 and a record low of 465.1 points in Apr 1986

Further information about Singapore FTSE Strait Times

• In the latest reports, FTSE All Share recorded a monthly P/E ratio of 13.2 in Jun 2022

Explore LSEG's Singapore Stock Exchange data, offering information across key segments including Equities and Fixed Income, Derivatives, and Corporate.

Key information about Singapore Market Capitalization

• Singapore Market Capitalization accounted for 644.807 USD bn in Jan 2025, compared with a percentage of 633.803 USD bn in the previous month
• Singapore Market Capitalization is updated monthly, available from Jan 1999 to Jan 2025
• The data reached an all-time high of 821.273 USD bn in Jul 2014 and a record low of 161.500 USD bn in Jan 1999

CEIC converts monthly Market Capitalization into USD. The Monetary Authority of Singapore provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.

SGX stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Stock market return (%, year-on-year) in Singapore was reported at 14.65 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Singapore SGX: Market Capitalisation: Total data was reported at 974,797.200 SGD mn in Sep 2018. This records an increase from the previous number of 970,051.700 SGD mn for Aug 2018. Singapore SGX: Market Capitalisation: Total data is updated monthly, averaging 661,983.700 SGD mn from Jan 1999 (Median) to Sep 2018, with 237 observations. The data reached an all-time high of 1,073,673.600 SGD mn in Jan 2018 and a record low of 273,339.000 SGD mn in Jan 1999. Singapore SGX: Market Capitalisation: Total data remains active status in CEIC and is reported by Monetary Authority of Singapore. The data is categorized under Global Database’s Singapore – Table SG.Z017: Singapore Exchange Securities Trading Limited (SGX-ST): Market Capitalisation.

Singapore SG: Stocks Traded: Total Value: % of GDP data was reported at 67.801 % in 2017. This records an increase from the previous number of 60.708 % for 2016. Singapore SG: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 68.266 % from Dec 1979 (Median) to 2017, with 39 observations. The data reached an all-time high of 211.849 % in 2007 and a record low of 7.553 % in 1985. Singapore SG: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_6dd4e62cb6a4c648bb2f72f8d6672552/view

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.

Sweet Rewards: Is SG Stock a Good Investment?

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.

SG Stock: Set a stop-loss order

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

Singapore SG: Stocks Traded: Total Value data was reported at 219.612 USD bn in 2017. This records an increase from the previous number of 188.052 USD bn for 2016. Singapore SG: Stocks Traded: Total Value data is updated yearly, averaging 74.137 USD bn from Dec 1979 (Median) to 2017, with 39 observations. The data reached an all-time high of 381.289 USD bn in 2007 and a record low of 1.063 USD bn in 1979. Singapore SG: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Market capitalization of listed domestic companies (current US$) in Singapore was reported at 637630270000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Market capitalization of listed companies - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of June 2025. The following three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

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.

Sweetgreen (SG) Stock Forecast: Salad Days Ahead

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

Stock market capitalization to GDP (%) in Singapore was reported at 189 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock market capitalization to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Singapore REITs: Market Capitalization data was reported at 88,347.573 SGD mn in Sep 2018. This records an increase from the previous number of 88,070.153 SGD mn for Aug 2018. Singapore REITs: Market Capitalization data is updated monthly, averaging 31,580.351 SGD mn from Jul 2002 (Median) to Sep 2018, with 195 observations. The data reached an all-time high of 90,086.281 SGD mn in Jan 2018 and a record low of 730.620 SGD mn in Jul 2002. Singapore REITs: Market Capitalization data remains active status in CEIC and is reported by Singapore Exchange. The data is categorized under Global Database’s Singapore – Table SG.Z004: Singapore Stock Exchange (SGX): Real Estate Investment Trusts.

Stocks traded (turnover ratio) of Singapore plummeted by 48.72% from 31.94 ratio in 2018 to 16.38 ratio in 2019. Since the 3.18% climb in 2016, stocks traded (turnover ratio) sank by 48.70% in 2019. Turnover ratio is the total value of shares traded during the period divided by the average market capitalization for the period. Average market capitalization is calculated as the average of the end-of-period values for the current period and the previous period.

Singapore Airlines stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This dataset is about stocks. It has 429 rows and is filtered where the exchange is Singapore Exchange. It features 8 columns including stock name, company, exchange, and exchange symbol.