4 datasets found
  1. Top Indian Stocks: Market Insights Dataset

    • kaggle.com
    zip
    Updated Oct 22, 2024
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    RAMESH MAITY (2024). Top Indian Stocks: Market Insights Dataset [Dataset]. https://www.kaggle.com/datasets/rameshmaity/top-indian-stocks-market-insights-dataset/code
    Explore at:
    zip(108320 bytes)Available download formats
    Dataset updated
    Oct 22, 2024
    Authors
    RAMESH MAITY
    License

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

    Description

    Top Indian Stocks: Financial Metrics Dataset This dataset offers a comprehensive view of key financial indicators for the top-performing stocks in India. With insights into valuation, profitability, and performance, this dataset is a perfect tool for investors, analysts, and data enthusiasts to explore stock market trends.

    📊 Columns Overview 1. S.No. 🔹 Description: The serial number for each stock. 💡 Use: Index for easy row reference, not a financial indicator. 2. Name 🔹 Description: The stock's name or ticker symbol. 💡 Use: Identifies each company for further analysis. 3. CMP (Current Market Price) Rs. 💰 Description: The latest trading price of the stock in Indian Rupees (₹). 💡 Use: Critical for assessing the current market valuation of the stock.

    1. P/E (Price-to-Earnings Ratio) 📈 Description: Ratio of the company’s stock price to its earnings per share. 💡 Use: A key indicator to determine if a stock is over- or under-valued.

    2. MarCap (Market Capitalization) Rs.Cr. 🏢 Description: The company’s total market value, in crores of Indian Rupees. 💡 Use: Helps categorize companies as large-cap, mid-cap, or small-cap.

    3. DivYld (Dividend Yield) % 💸 Description: The dividend income as a percentage of the stock price. 💡 Use: Useful for investors seeking steady income through dividends.

    4. NPQtr (Net Profit for the Quarter) Rs.Cr. 📊 Description: The company’s net profit for the latest quarter in crores. 💡 Use: A measure of recent profitability and financial health.

    5. QtrProfitVar (Quarterly Profit Variation) % 📉 Description: Percentage change in profit from the previous quarter. 💡 Use: Helps evaluate the company’s growth or decline in profitability.

    6. SalesQtr (Quarterly Sales) Rs.Cr. 💼 Description: Total revenue generated by the company during the quarter. 💡 Use: Useful to gauge the business's short-term performance.

    7. QtrSalesVar (Quarterly Sales Variation) % 📊 Description: Percentage change in sales compared to the previous quarter. 💡 Use: Highlights revenue growth or contraction over time.

    8. ROCE (Return on Capital Employed) % ⚙️ Description: Measures the company’s profitability relative to the capital used. 💡 Use: A higher ROCE shows better efficiency in using capital for profits.

    9. PATAnn (Profit After Tax for the Year) Rs.Cr. 📅 Description: Net profit after taxes for the entire year. 💡 Use: Key to understanding long-term profitability and financial performance. Why Use This Dataset? With a variety of financial metrics covering stock performance, this dataset is perfect for:

    📅 Time-Series Analysis: Forecast stock price movements using historical data. 🔍 Investment Research: Analyze market trends and evaluate stock performance. 🤖 Algorithmic Trading: Develop machine learning models to create automated trading strategies. 📈 Financial Forecasting: Build predictive models to anticipate stock prices and market shifts. This dataset offers rich financial insights and is a must-have for anyone looking to dive deep into India’s stock market landscape. Explore trends, develop predictive models, and take your financial analytics to the next level! 🔥📊

  2. Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving...

    • moneymetals.com
    csv, json, xls, xml
    Updated Sep 12, 2024
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    Money Metals Exchange (2024). Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving [Dataset]. https://www.moneymetals.com/bitcoin-price
    Explore at:
    json, xml, csv, xlsAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Money Metals Exchange
    License

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

    Time period covered
    Jan 3, 2009 - Sep 12, 2023
    Area covered
    World
    Measurement technique
    Tracking market benchmarks and trends
    Description

    In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.

  3. Social media popularity (2009 - 2025)

    • kaggle.com
    zip
    Updated Sep 29, 2024
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    Michal Bogacz (2024). Social media popularity (2009 - 2025) [Dataset]. https://www.kaggle.com/datasets/michau96/social-media-popularity-2009-2023/versions/3
    Explore at:
    zip(16905 bytes)Available download formats
    Dataset updated
    Sep 29, 2024
    Authors
    Michal Bogacz
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Description

    Context

    Social media are today a very popular way of exchanging information with other people via the Internet. It's hard not to notice that over the years new ones are created and old ones "die". The database below presents the popularity of various social networking sites since 2009, showing the percentage of their share in the social media market.

    Content

    The database saved in .csv form contains several columns. The first column contains the date (YYYY-MM) of the measurement period. Each subsequent column contains the percentage of share in the social media market, given as a percentage, rounded to 2 decimal places (if the share is less than 0.5%, the value 0 remains, even though it may constitute a very small percentage of the share). We have almost 180 rows, 15 years of data for monthly periods.

    Source

    The database comes from the Statcounter and is made available in the operation with CC BY-SA 3.0 license which allows to copy, use and disseminate data also for commercial purposes after providing the source.

  4. Sugar: World Markets and Trade (2015-2022)

    • kaggle.com
    zip
    Updated Mar 19, 2024
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    PTPKJHRT (2024). Sugar: World Markets and Trade (2015-2022) [Dataset]. https://www.kaggle.com/datasets/lauvfpitipak/sugar-world-markets-and-trade-2015-2022
    Explore at:
    zip(17445 bytes)Available download formats
    Dataset updated
    Mar 19, 2024
    Authors
    PTPKJHRT
    License

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

    Description

    2023/24 Sugar Overview Global production is estimated up 8.2 million tons year-over-year to 183.5 million with higher production for Brazil and India expected to more than offset a decline for Thailand and Pakistan. Consumption is anticipated to rise to a new record due to growth in markets including India and Pakistan. Exports are estimated higher as Brazil and Thailand are expected to more than offset lower shipments from India and Pakistan. Stocks are estimated lower to help meet domestic demand and higher exports from markets including Brazil and Thailand.

    Selected MY 2022/23 Revisions from May 2023 Forecast: - Global production is down 4.4 million tons to 175.3 million. o Russia is down 8 percent to 6.6 million tons due to lower yields. o Mexico is reduced 3 percent to 5.5 million tons due to unfavorable weather and drought. o The European Union is down 1 percent to 14.7 million tons due to lower sugarbeet yields as a result of drought.

    • Global imports are flat at 57.4 million tons. o Sudan is raised 293,000 tons to 1.6 million on higher imports from India and Thailand. o Mexico is increased254,000 tons to 302,000 tons due to lower production. o China is lowered 600,000 tons to 3.8 million as high world prices make it more profitable to meet demand by reducing stocks.

    • Global exports are reduced 1.8 million tons to 64.3 million. o India is revised up 933,000 tons to 7.4 million as exports exceeded the export cap. o Algeria is lowered 279,000 tons on lower exports to the European Union and Jordon. o Thailand is lowered 1.5 million tons to 9.5 million as buyers are cautious in making purchases due to high world prices.

    • Global ending stocks are raised 2.4 percent to 3.9 million tons. o Thailand stocks climb 1.5 million tons to 7.7 million on lower exports. o China is lowered 621,000 tons to 2.1 million on reduced imports. o India is lowered 18 percent to 5.3 million tons due to higher exports.

    For further information, please contact Reed Blauer at (202) 720-0898 or Reed.Blauer@usda.gov

    Acknowledgements https://www.fas.usda.gov/

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RAMESH MAITY (2024). Top Indian Stocks: Market Insights Dataset [Dataset]. https://www.kaggle.com/datasets/rameshmaity/top-indian-stocks-market-insights-dataset/code
Organization logo

Top Indian Stocks: Market Insights Dataset

Stocks Market Insights

Explore at:
zip(108320 bytes)Available download formats
Dataset updated
Oct 22, 2024
Authors
RAMESH MAITY
License

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

Description

Top Indian Stocks: Financial Metrics Dataset This dataset offers a comprehensive view of key financial indicators for the top-performing stocks in India. With insights into valuation, profitability, and performance, this dataset is a perfect tool for investors, analysts, and data enthusiasts to explore stock market trends.

📊 Columns Overview 1. S.No. 🔹 Description: The serial number for each stock. 💡 Use: Index for easy row reference, not a financial indicator. 2. Name 🔹 Description: The stock's name or ticker symbol. 💡 Use: Identifies each company for further analysis. 3. CMP (Current Market Price) Rs. 💰 Description: The latest trading price of the stock in Indian Rupees (₹). 💡 Use: Critical for assessing the current market valuation of the stock.

  1. P/E (Price-to-Earnings Ratio) 📈 Description: Ratio of the company’s stock price to its earnings per share. 💡 Use: A key indicator to determine if a stock is over- or under-valued.

  2. MarCap (Market Capitalization) Rs.Cr. 🏢 Description: The company’s total market value, in crores of Indian Rupees. 💡 Use: Helps categorize companies as large-cap, mid-cap, or small-cap.

  3. DivYld (Dividend Yield) % 💸 Description: The dividend income as a percentage of the stock price. 💡 Use: Useful for investors seeking steady income through dividends.

  4. NPQtr (Net Profit for the Quarter) Rs.Cr. 📊 Description: The company’s net profit for the latest quarter in crores. 💡 Use: A measure of recent profitability and financial health.

  5. QtrProfitVar (Quarterly Profit Variation) % 📉 Description: Percentage change in profit from the previous quarter. 💡 Use: Helps evaluate the company’s growth or decline in profitability.

  6. SalesQtr (Quarterly Sales) Rs.Cr. 💼 Description: Total revenue generated by the company during the quarter. 💡 Use: Useful to gauge the business's short-term performance.

  7. QtrSalesVar (Quarterly Sales Variation) % 📊 Description: Percentage change in sales compared to the previous quarter. 💡 Use: Highlights revenue growth or contraction over time.

  8. ROCE (Return on Capital Employed) % ⚙️ Description: Measures the company’s profitability relative to the capital used. 💡 Use: A higher ROCE shows better efficiency in using capital for profits.

  9. PATAnn (Profit After Tax for the Year) Rs.Cr. 📅 Description: Net profit after taxes for the entire year. 💡 Use: Key to understanding long-term profitability and financial performance. Why Use This Dataset? With a variety of financial metrics covering stock performance, this dataset is perfect for:

📅 Time-Series Analysis: Forecast stock price movements using historical data. 🔍 Investment Research: Analyze market trends and evaluate stock performance. 🤖 Algorithmic Trading: Develop machine learning models to create automated trading strategies. 📈 Financial Forecasting: Build predictive models to anticipate stock prices and market shifts. This dataset offers rich financial insights and is a must-have for anyone looking to dive deep into India’s stock market landscape. Explore trends, develop predictive models, and take your financial analytics to the next level! 🔥📊

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