4 datasets found
  1. T

    Royal Mail | RMG - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Royal Mail | RMG - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/rmg:ln
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    May 26, 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 - Jul 13, 2025
    Area covered
    United Kingdom
    Description

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

  2. Office Depot (ODP) Stock: A Revival In Store? (Forecast)

    • kappasignal.com
    Updated Jan 24, 2024
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    KappaSignal (2024). Office Depot (ODP) Stock: A Revival In Store? (Forecast) [Dataset]. https://www.kappasignal.com/2024/01/office-depot-odp-stock-revival-in-store.html
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    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Office Depot (ODP) Stock: A Revival In Store?

    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

  3. Postage Meter Machine Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Postage Meter Machine Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-postage-meter-machine-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Postage Meter Machine Market Outlook



    The global postage meter machine market size was valued at approximately USD 2.1 billion in 2023 and is projected to reach around USD 3.2 billion by 2032, growing at a CAGR of 4.8% during the forecast period. This market's growth can be attributed to the continuous demand for efficient mailing systems in various sectors, including corporate offices, government institutions, and educational establishments. The increasing need for streamlined office operations and the automation of postal services are significant factors driving this growth.



    One of the primary growth factors for the postage meter machine market is the evolution and integration of digital solutions in office machinery. As businesses and organizations strive for more efficient and cost-effective mail management systems, the demand for advanced digital postage meters has surged. These machines not only save time but also reduce the cost associated with mail processing by providing accurate postage rates and minimizing human errors. Moreover, the ability to track and audit postage expenses in real-time enhances operational transparency and control, making them indispensable tools for modern office environments.



    Another crucial factor contributing to the market growth is the increasing regulatory requirements for secure and verifiable mail handling. Government and legal standards often mandate the use of secure postage systems to maintain the integrity and confidentiality of mailed documents. This is especially pertinent in sectors such as banking, insurance, and healthcare, where the secure handling of sensitive information is paramount. The reliability and security features of advanced postage meters make them a preferred choice in these sectors, further propelling the market demand.



    The growing trend towards remote working and decentralized office operations also plays a significant role in the market's expansion. With more organizations adopting flexible work arrangements, the necessity for efficient and reliable mailing solutions has become more pronounced. Postage meters offer a convenient and reliable solution for handling mail from various locations, ensuring seamless communication and document management. This shift towards remote work is expected to continue driving the demand for postage meters in the foreseeable future.



    The integration of Parcel and Postal Automation Systems is revolutionizing the way mail is processed and delivered. These systems enable the automation of sorting, tracking, and delivery processes, significantly enhancing efficiency and accuracy. By leveraging advanced technologies such as machine learning and robotics, postal services can handle larger volumes of mail with reduced human intervention. This not only speeds up the delivery process but also minimizes errors, ensuring that parcels reach their destinations promptly and securely. As e-commerce continues to grow, the demand for automated systems in parcel and postal services is expected to rise, driving further advancements in this field.



    Regionally, North America currently holds the largest market share, driven by the high adoption rate of advanced office technologies and stringent regulatory requirements. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This growth can be attributed to the rapid industrialization, increasing number of SMEs, and the growing awareness about the benefits of automated mail processing systems in this region.



    Product Type Analysis



    In the product type segment, digital postage meters are leading the market due to their advanced features and functionalities. Digital postage meters offer precise postage calculation, electronic auditing, and integrated tracking capabilities, making them more efficient and user-friendly than their mechanical and electronic counterparts. These meters can connect to the internet, allowing for real-time updates on postage rates and regulations, which is crucial for businesses that handle large volumes of mail. The market for digital postage meters is expected to grow significantly, driven by the increasing demand for automation and digitalization in office environments.



    Mechanical postage meters, although considered outdated by some, still hold a significant share in the market. These machines are known for their durability and ease of use, making them a viable option for smaller busi

  4. d

    Over-the-counter historical stock price-to-earnings ratio ranking

    • data.gov.tw
    csv
    Updated Jun 25, 2025
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C. (2025). Over-the-counter historical stock price-to-earnings ratio ranking [Dataset]. https://data.gov.tw/en/datasets/17262
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Over-the-Counter Historical Stock PER Ranking (GreTai Securities Market)

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Click to copy link
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Close
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TRADING ECONOMICS (2017). Royal Mail | RMG - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/rmg:ln

Royal Mail | RMG - Stock Price | Live Quote | Historical Chart

Explore at:
json, csv, excel, xmlAvailable download formats
Dataset updated
May 26, 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 - Jul 13, 2025
Area covered
United Kingdom
Description

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

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