Singapore's main stock market index, the STI, rose to 4534 points on December 2, 2025, gaining 0.17% from the previous session. Over the past month, the index has climbed 2.01% and is up 19.75% 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 December of 2025.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 640 companies listed on the Singapore Exchange* (XSES) in Singapore. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Singapore:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Singapore:

Straits Times Index (STI): The main index that tracks the performance of companies listed on the Singapore Exchange (SGX). The STI provides a comprehensive view of the overall market performance in Singapore.

Company A: A prominent Singaporean company in sectors such as finance, real estate, or technology. This company's stock is among the most actively traded on the SGX and influences market trends.

Company B: A major Singaporean bank or financial institution offering a wide range of financial services. This company's stock is significant in the financial sector and reflects the economic landscape of Singapore.

Singapore Telecommunications Limited (Singtel): A leading telecommunications company in Singapore with international operations. The stock of Singtel is actively traded and has an impact on the communication sector.

Keppel Corporation Limited: A conglomerate in Singapore with interests in various sectors such as offshore and marine, real estate, and infrastructure. The stock of Keppel Corporation is a key player in the Singaporean market.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Singapore, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Singapore ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Singapore?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Singapore exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wir...

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

Key information about Singapore Market Capitalization

• Singapore Market Capitalization accounted for 785.194 USD bn in Oct 2025, compared with a percentage of 771.217 USD bn in the previous month
• Singapore Market Capitalization is updated monthly, available from Jan 1999 to Oct 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

Actual value and historical data chart for Singapore Stock Market Return Percent Year On Year

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.

Graph and download economic data for Volatility of Stock Price Index for Singapore (DDSM01SGA066NWDB) from 2000 to 2021 about Singapore, volatility, stocks, price index, indexes, and price.

Historical dataset of the Singapore Stock Market Index (Straits Times), covering values from 1987-12-01 to 2025-11-28, with the latest releases and long-term trends. Available for free download in CSV format.

Singapore SGX: Market Capitalisation: Debentures, Loan Stocks & Warrants data was reported at 1,701,682.300 SGD mn in Sep 2018. This records an increase from the previous number of 1,691,482.900 SGD mn for Aug 2018. Singapore SGX: Market Capitalisation: Debentures, Loan Stocks & Warrants data is updated monthly, averaging 499,269.100 SGD mn from Jan 1999 (Median) to Sep 2018, with 237 observations. The data reached an all-time high of 1,701,682.300 SGD mn in Sep 2018 and a record low of 300,683.900 SGD mn in Jan 1999. Singapore SGX: Market Capitalisation: Debentures, Loan Stocks & Warrants 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.

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

Singapore Stock Symbols & Company Metadata

This dataset contains stock symbols and basic company metadata for all listed companies in Singapore.It is updated weekly if new changes are there.

  📊 Dataset Contents

The dataset is provided as a CSV file with the following columns:

Column Description

name Full company name

ticker Stock ticker symbol (e.g., AAPL, MSFT)

market The exchange/market where the stock is listed

sector The primary business sector of… See the full description on the dataset page: https://huggingface.co/datasets/ThunderDrag/Singapore-Stock-Symbols-and-Metadata.

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's (SG) Stock Expected to See Growth 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

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.

Python and MATLAB scripts used to generate figures in the Entropy paper with the above title.

Singapore SGX: Market Capitalisation: Catalist data was reported at 11,775.800 SGD mn in Sep 2018. This records an increase from the previous number of 11,626.900 SGD mn for Aug 2018. Singapore SGX: Market Capitalisation: Catalist data is updated monthly, averaging 6,462.300 SGD mn from Jan 1999 (Median) to Sep 2018, with 237 observations. The data reached an all-time high of 15,124.300 SGD mn in Jan 2007 and a record low of 2,503.600 SGD mn in Sep 2001. Singapore SGX: Market Capitalisation: Catalist 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.

Discover the booming Asia-Pacific capital market exchange ecosystem, projected to reach [estimated 2033 market size in millions] by 2033 with a CAGR exceeding 7%. This in-depth analysis explores market drivers, trends, restraints, and key players across China, Japan, India, and other major economies. Learn about investment opportunities in equity, debt, and other financial products. Recent developments include: July 2022: The eligible companies listed on Beijing Stock Exchange were allowed to apply for transfer to the Star Market of the Shanghai Stock Exchange. A transfer system is a positive approach for bridge-building efforts between China's multiple layers of the capital market., February 2022: The China Securities Regulatory Commission (CSRC) approved the merger of Shenzhen Stock Exchange's main board with the SME board. The merger will optimize the trading structure of the Shenzhen Stock Exchange.. Notable trends are: Increasing Foreign Direct Investment in Various Developing Economies in Asia-Pacific.

This statistic shows the largest global stock exchanges globally as of March 2025, ranked by the value of electronic order book share trading. In that time, the NYSE Stock Market was the largest stock exchange worldwide, with the value of EOB shares traded amounting to *** trillion U.S. dollars. Stock exchanges — additional information Stock exchanges are an important part of the free market economic system and are the most important component of the stock market. A stock exchange provides the setting in which stockbrokers, sellers, buyers, and traders can be brought together to take part in the sale of shares, bonds, derivatives and other securities. The core function of a stock exchange is to enable the fair and orderly trading, as well as the provision of price information, of any securities being traded on that exchange. Originally the exchanges were physical places (in some world locations the goods are still traded over-the-counter) but with time, they took the shape of an electronic platform. In order that company shares may be bought, traded and sold on a stock exchange, the company is required to have undergone an initial public offering process (IPO) on that particular exchange. The initial public offering of Alibaba Group Holding, a Chinese company operating in the e-commerce sector, on the New York Stock Exchange in September 2014, was the largest listing in the United States since 1996. The IPO of Alibaba Group Holding raised approximately ***** billion U.S. dollars.

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

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

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.