14 datasets found
  1. Dhaka Stock Exchange Price Dataset 2000 - 2025

    • kaggle.com
    zip
    Updated Feb 26, 2025
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    Shahjada Alif (2025). Dhaka Stock Exchange Price Dataset 2000 - 2025 [Dataset]. https://www.kaggle.com/datasets/muhammedalif/dsc-prices
    Explore at:
    zip(27820105 bytes)Available download formats
    Dataset updated
    Feb 26, 2025
    Authors
    Shahjada Alif
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Dhaka
    Description

    Dhaka Stock Exchange (DSE) Historical Stock Prices (2000-2025)

    Dataset Overview:

    This dataset provides a comprehensive historical record of stock prices from the Dhaka Stock Exchange (DSE), the primary stock exchange of Bangladesh. Spanning from January 1, 2000, to February 26, 2025, it offers a detailed look into the daily trading activity of 464 unique stocks.

    Key Features:

    • Date: The trading date (YYYY-MM-DD format).
    • Script (Stock Name): The name or ticker symbol of the listed company.
    • Open: The opening price of the stock on the given trading day.
    • High: The highest price reached by the stock during the trading day.
    • Low: The lowest price reached by the stock during the trading day.
    • Close: The closing price of the stock on the given trading day.
    • Volume: The total number of shares traded for the stock on the given trading day.

    Data Characteristics:

    • Time Span: January 1, 2000, to February 26, 2025.
    • Number of Unique Stocks: 464
    • Frequency: Daily
    • Accuracy: Clean and accurate data, suitable for reliable analysis.

    Potential Uses:

    • Financial Analysis: Analyze stock trends, volatility, and performance over time.
    • Machine Learning: Develop predictive models for stock price forecasting.
    • Economic Research: Study the impact of economic events on the Bangladeshi stock market.
    • Investment Strategies: Backtest trading strategies and identify potential investment opportunities.
    • Educational Purposes: Learn about stock market dynamics and data analysis in finance.

    Acknowledgements:

    This dataset was meticulously compiled and cleaned to provide a valuable resource for researchers, analysts, and investors interested in the Dhaka Stock Exchange.

    Note:

    While efforts have been made to ensure the accuracy of the data, users are advised to conduct their own due diligence and validation before making any investment decisions based on this dataset.

    This description highlights the key aspects of your dataset, its potential uses, and its reliability. Feel free to adjust it further based on any specific details or insights you want to emphasize!

  2. T

    Bangladesh DSE General Index - Index Price | Live Quote | Historical Chart |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 25, 2017
    + more versions
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    TRADING ECONOMICS (2017). Bangladesh DSE General Index - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/dhaka:ind
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jul 25, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Nov 28, 2025
    Area covered
    Bangladesh
    Description

    Prices for Bangladesh DSE General Index including live quotes, historical charts and news. Bangladesh DSE General Index was last updated by Trading Economics this November 28 of 2025.

  3. End-of-Day Pricing Data Bangladesh Techsalerator

    • kaggle.com
    zip
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Pricing Data Bangladesh Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-data-bangladesh-techsalerator
    Explore at:
    zip(17932 bytes)Available download formats
    Dataset updated
    Aug 23, 2023
    Authors
    Techsalerator
    Area covered
    Bangladesh
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 342 companies listed on the Chittagong Stock Exchange (XCHG) in Bangladesh. 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.

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

    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.

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

    Dhaka Stock Exchange (DSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Dhaka Stock Exchange. This index provides an overview of the overall market performance in Bangladesh.

    Dhaka Stock Exchange (DSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Dhaka Stock Exchange. This index reflects the performance of international companies operating in Bangladesh.

    Company A: A prominent Bangladeshi company with diversified operations across various sectors, such as textiles, telecommunications, or banking. This company's stock is widely traded on the Dhaka Stock Exchange.

    Company B: A leading financial institution in Bangladesh, offering banking, insurance, or investment services. This company's stock is actively traded on the Dhaka Stock Exchange.

    Company C: A major player in the Bangladeshi agriculture sector, involved in the production and distribution of agricultural products. This company's stock is listed and actively traded on the Dhaka Stock Exchange.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Bangladesh, 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.

    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 Bangladesh ?

    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 Bangladesh?

    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 Bangladesh 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 tra...

  4. T

    Bangladesh Stock Market Return Percent Year On Year

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 17, 2017
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    TRADING ECONOMICS (2017). Bangladesh Stock Market Return Percent Year On Year [Dataset]. https://tradingeconomics.com/bangladesh/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 17, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Bangladesh
    Description

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

  5. BD Dhaka Stock Exchange Historical Data_s1999-2023

    • kaggle.com
    zip
    Updated Jan 29, 2025
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    Shuvo Kumar Basak-4004.o (2025). BD Dhaka Stock Exchange Historical Data_s1999-2023 [Dataset]. https://www.kaggle.com/datasets/shuvokumarbasak2030/bd-dhaka-stock-exchange-historical-data-s1999-2023/code
    Explore at:
    zip(17404086 bytes)Available download formats
    Dataset updated
    Jan 29, 2025
    Authors
    Shuvo Kumar Basak-4004.o
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Dhaka, Bangladesh
    Description

    This comprehensive dataset covers historical stock market data from the Dhaka Stock Exchange (DSE) for the period from 1999 to 2023. Collected from the DSE Stocks website, this dataset is organized into separate CSV files for each year, providing a detailed record of stock market trends and movements over this 24-year span.

    Data Source: https://dsestocks.com/dse-csv-data/

    Contents:

    Date: The trading date, formatted as YYYY-MM-DD.

    Open: The opening price of the stock on the given date, reflecting the first transaction price of the day.

    High: The highest transaction price of the stock on the given date.

    Low: The lowest transaction price of the stock on the given date.

    Close: The closing price of the stock on the given date, reflecting the final transaction price of the day.

    Volume: The total number of shares traded on the given date.

    Price Change: The change in stock price from the previous day's closing price.

    Usage: This dataset is ideal for analyzing historical trends in the Dhaka Stock Exchange, performing time series analysis, and developing predictive models for stock prices. It offers valuable insights for researchers, analysts, and investors looking to understand the market's behavior over the years. By studying this dataset, users can identify patterns, assess market volatility, and make informed investment decisions.

    Key Features:

    Comprehensive: Covers 24 years of stock market data, offering a thorough historical perspective.

    Detailed: Includes daily trading data, enabling fine-grained analysis of stock market movements.

    Pre-Processed: Data has been cleaned and organized for ease of use in modeling and analysis.

    Note:

    Each CSV file represents the stock data for a specific year from 1999 to 2023. Users must combine these files into a single dataset for a continuous time series analysis.

    Acknowledgment: This dataset was obtained from the DSE Stocks website, a reliable source for historical stock market data in Bangladesh.

    Example Use Cases:

    Trend Analysis: Study the long-term trends in the Dhaka stock market and identify significant periods of growth or decline.

    Volatility Assessment: Analyze market volatility over different time frames using the provided data.

    Predictive Modeling: Develop machine learning models to forecast future stock prices based on historical data.

    Investment Strategy Development: Formulate and backtest investment strategies using historical data.

  6. Dhaka Stock Exchange Broad Historical Data

    • kaggle.com
    zip
    Updated Sep 23, 2020
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    Md Ziaul Haque (2020). Dhaka Stock Exchange Broad Historical Data [Dataset]. https://www.kaggle.com/zhaque/dhaka-stock-exchange-broad-historical-data
    Explore at:
    zip(99286 bytes)Available download formats
    Dataset updated
    Sep 23, 2020
    Authors
    Md Ziaul Haque
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Dhaka
    Description

    A stock index, or stock market index, is an index that measures a stock market, or a subset of the stock market, that helps investors compare current price levels with past prices to calculate market performance. It is computed from the prices of selected stocks (typically a weighted arithmetic mean)

    This data is represented Dhaka (The capital of Bangladesh) Stock Exchange Price from January 31, 2013 to September 20, 2020.

  7. B

    Bangladesh DSE: PE Ratio

    • ceicdata.com
    Updated Jun 9, 2017
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    CEICdata.com (2017). Bangladesh DSE: PE Ratio [Dataset]. https://www.ceicdata.com/en/bangladesh/dhaka-stock-exchange-pe-ratio-and-dividend-yield/dse-pe-ratio
    Explore at:
    Dataset updated
    Jun 9, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Bangladesh
    Variables measured
    Price-Earnings Ratio
    Description

    Bangladesh DSE: PE Ratio data was reported at 9.930 Unit in Oct 2025. This records a decrease from the previous number of 10.380 Unit for Sep 2025. Bangladesh DSE: PE Ratio data is updated monthly, averaging 10.790 Unit from Nov 2000 (Median) to Oct 2025, with 298 observations. The data reached an all-time high of 30.580 Unit in Feb 2010 and a record low of 5.900 Unit in Mar 2003. Bangladesh DSE: PE Ratio data remains active status in CEIC and is reported by Dhaka Stock Exchange. The data is categorized under Global Database’s Bangladesh – Table BD.Z: Dhaka Stock Exchange: PE Ratio and Dividend Yield. No available data for April and May 2020 due to temporary closure of Dhaka Stock Exchange from March 29 to May 28, 2020.

  8. B

    Bangladesh DSE: Turnover: Annual: Value

    • ceicdata.com
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    CEICdata.com, Bangladesh DSE: Turnover: Annual: Value [Dataset]. https://www.ceicdata.com/en/bangladesh/dhaka-stock-exchange-turnover/dse-turnover-annual-value
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2013 - Jun 1, 2024
    Area covered
    Bangladesh
    Variables measured
    Turnover
    Description

    Bangladesh DSE: Turnover: Annual: Value data was reported at 1,498,649.059 BDT mn in 2024. This records a decrease from the previous number of 1,910,874.665 BDT mn for 2023. Bangladesh DSE: Turnover: Annual: Value data is updated yearly, averaging 875,397.045 BDT mn from Jun 1997 (Median) to 2024, with 28 observations. The data reached an all-time high of 3,258,632.868 BDT mn in 2011 and a record low of 12,616.940 BDT mn in 1998. Bangladesh DSE: Turnover: Annual: Value data remains active status in CEIC and is reported by Dhaka Stock Exchange. The data is categorized under Global Database’s Bangladesh – Table BD.Z002: Dhaka Stock Exchange: Turnover.

  9. DSE Stock closing data from 2018-2020

    • kaggle.com
    zip
    Updated Dec 1, 2020
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    Muntakimur Rahaman (2020). DSE Stock closing data from 2018-2020 [Dataset]. https://www.kaggle.com/muntakim/dse-stock-closing-data-from-20182020
    Explore at:
    zip(59382 bytes)Available download formats
    Dataset updated
    Dec 1, 2020
    Authors
    Muntakimur Rahaman
    Description

    Context

    Dhaka Stock exchange is one of the major stock markets of Bangladesh. Here the CSV file contains the closing price of the stock market from 2018 to 2020.

    Content

    Here we have 12 columns in this data set 1. 'INDEX 2. 'DATE' 3. 'TRADINGCODE', 4. 'LTP*', 5. 'HIGH', 6. 'LOW', 7. 'OPENP*', 8. 'CLOSEP*', 9. 'YCP', 10. 'TRADE', 11. 'VALUE(mn)', 12. 'VOLUME'

    Acknowledgements

    I scrape this data from the official DSE website.

    Inspiration

    Working with time series data inspired me to create this dataset.

  10. B

    Bangladesh DSE: Listed Corporate Bonds

    • ceicdata.com
    Updated Apr 25, 2021
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    CEICdata.com (2021). Bangladesh DSE: Listed Corporate Bonds [Dataset]. https://www.ceicdata.com/en/bangladesh/dhaka-stock-exchange-number-of-listed-companies-and-shares/dse-listed-corporate-bonds
    Explore at:
    Dataset updated
    Apr 25, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Bangladesh
    Variables measured
    Number of Listed Companies
    Description

    Bangladesh DSE: Listed Corporate Bonds data was reported at 16.000 Unit in Jan 2025. This stayed constant from the previous number of 16.000 Unit for Dec 2024. Bangladesh DSE: Listed Corporate Bonds data is updated monthly, averaging 2.000 Unit from Nov 2007 (Median) to Jan 2025, with 205 observations. The data reached an all-time high of 16.000 Unit in Jan 2025 and a record low of 1.000 Unit in Dec 2019. Bangladesh DSE: Listed Corporate Bonds data remains active status in CEIC and is reported by Dhaka Stock Exchange. The data is categorized under Global Database’s Bangladesh – Table BD.Z006: Dhaka Stock Exchange: Number of Listed Companies and Shares. No available data for April and May 2020 due to temporary closure of Dhaka Stock Exchange from March 29 to May 28, 2020.

  11. Corporate Actions Data Bangladesh Techsalerator

    • kaggle.com
    zip
    Updated Aug 22, 2023
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    Techsalerator (2023). Corporate Actions Data Bangladesh Techsalerator [Dataset]. https://www.kaggle.com/techsalerator/corporate-actions-data-bangladesh-techsalerator
    Explore at:
    zip(79815 bytes)Available download formats
    Dataset updated
    Aug 22, 2023
    Authors
    Techsalerator
    Area covered
    Bangladesh
    Description

    Techsalerator's Corporate Actions Dataset in Bangladesh offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 342 companies traded on the Chittagong Stock Exchange (XCHG).

    Top 5 used data fields in the Corporate Actions Dataset for Bangladesh:

    • Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

    • Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

    • Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

    • Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

    • Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

    Top 5 corporate actions in Bangladesh:

    Garment and Textile Industry Investments: Corporate actions related to the garment and textile sector, including investments, expansions, and partnerships, play a vital role in Bangladesh's economy and its status as a major global textiles exporter.

    Financial Technology (FinTech) Innovations: Corporate actions involving FinTech startups, digital payment solutions, and mobile banking initiatives contribute to modernizing the financial sector and promoting financial inclusion.

    Energy and Infrastructure Projects: Corporate actions related to energy development, including power generation and transportation infrastructure initiatives, support Bangladesh's efforts to improve energy security and connectivity.

    Agricultural and Agribusiness Initiatives: Given the significance of agriculture in Bangladesh, corporate actions involving agribusiness projects, technology adoption, and value chain development contribute to food security and rural development.

    Consumer Goods and Retail Sector Growth: Corporate actions related to retail and consumer goods, including expansions, branding, and product launches, reflect Bangladesh's growing consumer market and middle-class segment.

    Top 5 financial instruments with corporate action Data in Bangladesh

    Dhaka Stock Exchange (DSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Dhaka Stock Exchange. This index would provide insights into the performance of the Bangladeshi stock market.

    Dhaka Stock Exchange (DSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Dhaka Stock Exchange, if foreign listings were present. This index would give an overview of foreign business involvement in Bangladesh.

    BengalMart: A Bangladesh-based supermarket chain with operations in multiple regions. BengalMart focuses on providing essential products to local communities and contributing to the retail sector's growth.

    FinServe Bangladesh: A financial services provider in Bangladesh with a focus on promoting financial inclusion and access to banking services, particularly among underserved communities.

    AgriTech Bangladesh: A company dedicated to advancing agricultural technology in Bangladesh, focusing on optimizing crop yields and improving food security to support the country's agricultural sector.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Bangladesh, 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.

    Data fields included:

    Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

    Q&A:

    How much does the Corporate Actions Dataset cost in Bangladesh?

    The cost of the Corporate Actions 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.

    How complete is the Corporate Action...

  12. Dhaka Stock Exchange - June 2021 Stock Info

    • kaggle.com
    zip
    Updated Dec 15, 2021
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    Ataul Morshed (2021). Dhaka Stock Exchange - June 2021 Stock Info [Dataset]. https://www.kaggle.com/datasets/mamorshed/dhaka-stock-exchange-june-2021-stock-info/data
    Explore at:
    zip(11746 bytes)Available download formats
    Dataset updated
    Dec 15, 2021
    Authors
    Ataul Morshed
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Dhaka
    Description

    Context

    This dataset is originally from Dhaka Stock Exchange Ltd. The objective of the dataset is to assign analytical report writing tasks to Summer 2020 students enrolled in ASDS18: Data Mining course in proceedings of the partial fulfillment of the requirements for the Professional Masters in Applied Statistics and Data Science (PMASDS) degree. This data set was collected using the Dhaka Stock Exchange API.

    Content

    The datasets consist of several stock company predictor (independent) variables and one target (dependent) variable, Outcome. Independent variables include the last price, net asset value (NAV) of the stock, Earnings Per Share (EPS), price-to-earnings (P/E) ratio of the stock, paid-up capital per share, and so on.

    It contains information on 374 listed companies from Dhaka Stock Exchange - DSE, Bangladesh. The outcome tested was Category, 258 tested positive and 500 tested negative. Therefore, there is one target (dependent) variable and 8 attributes.

    Acknowledgements

    Dr. Md. Rezaul Karim, Associate Professor, Department of Statistics, Jahangirnagar University, Dhaka, Bangladesh (2021) provided us with this dataset. Using the Dhaka Stock Exchange API this data set was collected to assign analytical report writing tasks to Summer 2020 students in proceedings of the partial fulfillment of the requirements for the Professional Masters in Applied Statistics and Data Science (PMASDS) degree.

    DSE Listed Companies Database

    Inspiration

  13. B

    Bangladesh Market Capitalization

    • ceicdata.com
    Updated Jan 27, 2017
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    CEICdata.com (2017). Bangladesh Market Capitalization [Dataset]. https://www.ceicdata.com/en/indicator/bangladesh/market-capitalization
    Explore at:
    Dataset updated
    Jan 27, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2024 - Aug 1, 2025
    Area covered
    Bangladesh
    Description

    Key information about Bangladesh Market Capitalization

    • Bangladesh Market Capitalization accounted for 30.698 USD bn in Aug 2025, compared with a percentage of 29.654 USD bn in the previous month
    • Bangladesh Market Capitalization is updated monthly, available from Jan 1998 to Aug 2025
    • The data reached an all-time high of 344.510 USD bn in Feb 2019 and a record low of 17.886 USD mn in Oct 2012

    CEIC calculates monthly Market Capitalization as the sum of Company Share Market Capitalization and Mutual Funds Market Capitalization. Dhaka Stock Exchange provides Market Capitalization in USD.

  14. 孟加拉国 DSE:成交量:年度:值

    • ceicdata.com
    Updated Jul 16, 2024
    + more versions
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    CEICdata.com (2024). 孟加拉国 DSE:成交量:年度:值 [Dataset]. https://www.ceicdata.com/zh-hans/bangladesh/dhaka-stock-exchange-turnover/dse-turnover-annual-value
    Explore at:
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2013 - Jun 1, 2024
    Area covered
    孟加拉国
    Variables measured
    Turnover
    Description

    DSE:成交量:年度:值在06-01-2024达1,498,649.059百万孟加拉塔卡,相较于06-01-2023的1,910,874.665百万孟加拉塔卡有所下降。DSE:成交量:年度:值数据按年更新,06-01-1997至06-01-2024期间平均值为875,397.045百万孟加拉塔卡,共28份观测结果。该数据的历史最高值出现于06-01-2011,达3,258,632.868百万孟加拉塔卡,而历史最低值则出现于06-01-1998,为12,616.940百万孟加拉塔卡。CEIC提供的DSE:成交量:年度:值数据处于定期更新的状态,数据来源于Dhaka Stock Exchange,数据归类于Global Database的孟加拉 – Table BD.Z002: Dhaka Stock Exchange: Turnover。

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    Learn how you can add new datasets to our index.

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Shahjada Alif (2025). Dhaka Stock Exchange Price Dataset 2000 - 2025 [Dataset]. https://www.kaggle.com/datasets/muhammedalif/dsc-prices
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Dhaka Stock Exchange Price Dataset 2000 - 2025

DSC Stocks Price Dataset

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zip(27820105 bytes)Available download formats
Dataset updated
Feb 26, 2025
Authors
Shahjada Alif
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Dhaka
Description

Dhaka Stock Exchange (DSE) Historical Stock Prices (2000-2025)

Dataset Overview:

This dataset provides a comprehensive historical record of stock prices from the Dhaka Stock Exchange (DSE), the primary stock exchange of Bangladesh. Spanning from January 1, 2000, to February 26, 2025, it offers a detailed look into the daily trading activity of 464 unique stocks.

Key Features:

  • Date: The trading date (YYYY-MM-DD format).
  • Script (Stock Name): The name or ticker symbol of the listed company.
  • Open: The opening price of the stock on the given trading day.
  • High: The highest price reached by the stock during the trading day.
  • Low: The lowest price reached by the stock during the trading day.
  • Close: The closing price of the stock on the given trading day.
  • Volume: The total number of shares traded for the stock on the given trading day.

Data Characteristics:

  • Time Span: January 1, 2000, to February 26, 2025.
  • Number of Unique Stocks: 464
  • Frequency: Daily
  • Accuracy: Clean and accurate data, suitable for reliable analysis.

Potential Uses:

  • Financial Analysis: Analyze stock trends, volatility, and performance over time.
  • Machine Learning: Develop predictive models for stock price forecasting.
  • Economic Research: Study the impact of economic events on the Bangladeshi stock market.
  • Investment Strategies: Backtest trading strategies and identify potential investment opportunities.
  • Educational Purposes: Learn about stock market dynamics and data analysis in finance.

Acknowledgements:

This dataset was meticulously compiled and cleaned to provide a valuable resource for researchers, analysts, and investors interested in the Dhaka Stock Exchange.

Note:

While efforts have been made to ensure the accuracy of the data, users are advised to conduct their own due diligence and validation before making any investment decisions based on this dataset.

This description highlights the key aspects of your dataset, its potential uses, and its reliability. Feel free to adjust it further based on any specific details or insights you want to emphasize!

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