2 datasets found
  1. d

    Stock Analyst Ratings API by Finnworlds

    • datarade.ai
    Updated Jun 4, 2024
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    Finnworlds (2024). Stock Analyst Ratings API by Finnworlds [Dataset]. https://datarade.ai/data-products/analyst-ratings-api-buy-sell-hold-and-price-consensus-finnworlds
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    Finnworlds
    Area covered
    Virgin Islands (British), Nauru, Nigeria, Azerbaijan, Tuvalu, Saint Pierre and Miquelon, Bermuda, Lithuania, Belarus, Antarctica
    Description

    You can obtain the data from the Analyst Ratings through our API and databases. It is available through JSON REST API or downloadable as a csv or excel file. We obtain the data from analysts and financial experts in all sectors and industries which we constantly up date as analysts release new reports and statements. We then compile this data in an intuitively API that is easily used by developers to build systems for your platforms and applications.

    Filtering Parameters: - Stock Ticker Symbol - ISIN identifier - Analyst name - Analyst firm - Analyst success rate - Analyst return rate - date ranges from when you want output

    Output example:

    },
    "results": [
      {
      "basics": {
        "name": "Apple Inc",
        "stock_ticker_symbol": "AAPL"
        "isin_identifier": "US0378331005"
        "exchange": "nasdaq"
        },
      "output": {
        "averageRecommendation": {
          "current": "1.33",
          "one_month_ago": "1.29",
          "two_months_ago": "1.35",
          "three_months_ago": "1.35"
        },
        "strongBuy": {
          "current": "18",
          "one_month_ago": "19",
          "two_months_ago": "20",
          "three_months_ago": "20"
        },
        "hold": {
          "current": "2",
          "one_month_ago": "2",
          "two_months_ago": "3",
          "three_months_ago": "3"
        },
        "strongSell": {
          "current": "0",
          "one_month_ago": "0",
          "two_months_ago": "0",
          "three_months_ago": "0"
        }
      }
    

    You can find the detailed documentation on finnworlds.com/documentation. Be sure to let us know you found us through Datarade, which helps this platform in return.

  2. I

    Global Stock Market API Market Strategic Recommendations 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Stock Market API Market Strategic Recommendations 2025-2032 [Dataset]. https://www.statsndata.org/report/stock-market-api-market-8555
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The stock market serves as the backbone of modern economies, facilitating the buying and selling of shares in publicly traded companies. This dynamic marketplace allows investors to own a piece of a company and share in its success, providing essential liquidity and capital for businesses. As a pivotal element in th

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Finnworlds (2024). Stock Analyst Ratings API by Finnworlds [Dataset]. https://datarade.ai/data-products/analyst-ratings-api-buy-sell-hold-and-price-consensus-finnworlds

Stock Analyst Ratings API by Finnworlds

Explore at:
Dataset updated
Jun 4, 2024
Dataset authored and provided by
Finnworlds
Area covered
Virgin Islands (British), Nauru, Nigeria, Azerbaijan, Tuvalu, Saint Pierre and Miquelon, Bermuda, Lithuania, Belarus, Antarctica
Description

You can obtain the data from the Analyst Ratings through our API and databases. It is available through JSON REST API or downloadable as a csv or excel file. We obtain the data from analysts and financial experts in all sectors and industries which we constantly up date as analysts release new reports and statements. We then compile this data in an intuitively API that is easily used by developers to build systems for your platforms and applications.

Filtering Parameters: - Stock Ticker Symbol - ISIN identifier - Analyst name - Analyst firm - Analyst success rate - Analyst return rate - date ranges from when you want output

Output example:

},
"results": [
  {
  "basics": {
    "name": "Apple Inc",
    "stock_ticker_symbol": "AAPL"
    "isin_identifier": "US0378331005"
    "exchange": "nasdaq"
    },
  "output": {
    "averageRecommendation": {
      "current": "1.33",
      "one_month_ago": "1.29",
      "two_months_ago": "1.35",
      "three_months_ago": "1.35"
    },
    "strongBuy": {
      "current": "18",
      "one_month_ago": "19",
      "two_months_ago": "20",
      "three_months_ago": "20"
    },
    "hold": {
      "current": "2",
      "one_month_ago": "2",
      "two_months_ago": "3",
      "three_months_ago": "3"
    },
    "strongSell": {
      "current": "0",
      "one_month_ago": "0",
      "two_months_ago": "0",
      "three_months_ago": "0"
    }
  }

You can find the detailed documentation on finnworlds.com/documentation. Be sure to let us know you found us through Datarade, which helps this platform in return.

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