100+ datasets found
  1. d

    Live Briefs INVESTOR US - US Financial Markets News

    • datarade.ai
    Updated Feb 17, 2024
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    MT Newswires (2024). Live Briefs INVESTOR US - US Financial Markets News [Dataset]. https://datarade.ai/data-products/live-briefs-investor-us-us-financial-markets-news-mt-newswires
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    Dataset updated
    Feb 17, 2024
    Dataset authored and provided by
    MT Newswires
    Area covered
    United States
    Description

    Live Briefs Investor – US Covering thousands of listed securities and events across 80 news categories, Live Briefs Investor US is specifically designed to keep individual investors and active traders on top of breaking news that is likely to affect their portfolios.

    Most of the largest and most respected retail and self-directed brokerage firms in the North America rely on MT Newswires to provide their clients with complete coverage of the financial markets. The Investor service includes timely and insightful commentary on equities, commodities, ETFs, economics, forex, options and fixed income assets throughout the day (6:30 am to 6:30 pm EST).

    Every story is ticker-tagged and category-coded to allow for seamless platform integration. US Equities – significant events affecting individual public companies in the US: After-hours and pre-market news, trading activity and technical price level indications; Earnings estimate change alerts; Analyst Rating Changes- the most comprehensive view and coverage of rating changes available anywhere; ETF Power Play – daily trends in ETF trading activity; Mini and detailed sector summaries – pre-market, mid-day, and closing; Market Chatter – real-time coverage of trading desk rumors and breaking news; Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.).

  2. d

    Live Briefs PRO Global Markets

    • datarade.ai
    .xml
    Updated Mar 9, 2022
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    MT Newswires (2022). Live Briefs PRO Global Markets [Dataset]. https://datarade.ai/data-products/live-briefs-pro-global-markets-mt-newswires
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    .xmlAvailable download formats
    Dataset updated
    Mar 9, 2022
    Dataset authored and provided by
    MT Newswires
    Area covered
    Australia, Malaysia, China, United States of America, Sweden, Germany, Austria, Pakistan, New Zealand, Spain
    Description

    MT Newswires offers premium intra-day global markets commentary and breaking news on a wide range of economic, equity, fixed income, energy commodity and FX markets, covering the US, Canada, Europe, and Asia with a focus on the most widely followed securities and events in developed markets and economies. Reports are designed to give the reader a quick and precise picture of the data, while analysts highlight both the immediate impact on the markets as well as the longer run implications for the economy and central bank policy. The Live Briefs Global Markets service is designed to keep a broad range of market participants and wealth managers alerted to market moving events around the globe. o 160 categories of original, real time multi-asset class coverage of equities, treasuries, commodities, options, ETFs and economies throughout the trading and business day; o Global Equities -Significant events affecting individual public companies in Europe, North America and Asia; o Global Economic news and market summaries; o Sector summaries (pre-market, mid-day and closing); o Forex commentary covering the major global currencies; o Energy and precious metal news and daily summaries; o Top News updates throughout each business day; o Earnings estimate changes; o Analyst rating changes; o After Hours and Pre-Market news, trading activity and technical price levels indications; o Market Chatter & Street Color– real time market moving insights from traders and investment professionals globally; o ETF Power Play- Daily trends in ETF trading activity; o Insider Trends – Notable individual and sector related insider trading activity; o Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.)

  3. f

    Data from: Unpacking the Nuances of Agenda-Setting in the Online Media...

    • figshare.com
    zip
    Updated Apr 27, 2024
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    Yuzhou Tao; Mark Boukes; Andreas Schuck (2024). Unpacking the Nuances of Agenda-Setting in the Online Media Environment: An Hourly-Event Approach in the Context of Chinese Economic News [Dataset]. http://doi.org/10.6084/m9.figshare.25497556.v1
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    zipAvailable download formats
    Dataset updated
    Apr 27, 2024
    Dataset provided by
    figshare
    Authors
    Yuzhou Tao; Mark Boukes; Andreas Schuck
    License

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

    Description

    This repository contains the appendix, the dataset, and the analysis files for the study "Unpacking the Nuances of Agenda-Setting in the Online Media Environment: An Hourly-Event Approach in the Context of Chinese Economic News."Except for the appendix, the "Data" folder contains 36 csv-format files, each for one specific news event. In each file, the first column "hour" denotes hourly intervals of the data, and the 2–6 columns denote the endogenous variables included in the VAR models (i.e., the raw volume of coverage or discussion in different groups concerning media, the neitizens, and other institutions of interest). The datasets have been aggregated by 19-hour lags each day, resulting in 266 lags for the 14-day time window."AnalysisFiles" folder contains the R code and copy results for analysis, in which:-TimeSeriesAnalysis" contains the R code for the time-series analysis of this study. Besides, this folder also contains copies of the results for VAR models.-"t-test & ANOVA" contains the results of 36 separate VAR models and the R code for the t-test and ANOVA for the event feature on the influence of agenda-setting. Besides, this folder also contains copies of the results of t-tests and ANOVA.-"Figure" contains the R code for creating Figure 1 and Figure 2 in the main text of this study and also contains copies of these two figures.

  4. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 11, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    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
    Dec 31, 1914 - May 31, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. i

    Valentine's Day Spending Surges in 2024: A Record $27.5 Billion - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Valentine's Day Spending Surges in 2024: A Record $27.5 Billion - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/valentines-day-spending-surges-economic-impact-and-trends/
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    pdf, docx, doc, xls, xlsxAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    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, 2012 - Jun 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Valentine's Day in 2024 witnesses record spending of $27.5 billion as Americans indulge in chocolates, flowers, dining, and jewelry, boosting related sectors significantly.

  6. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
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    xml, excel, json, csvAvailable download formats
    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
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 27720.71 billion US dollars in 2023, according to official data from the World Bank. The GDP value of the United States represents 26.29 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. Reuters Breakingviews

    • eulerpool.com
    Updated Jun 24, 2025
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    Eulerpool (2025). Reuters Breakingviews [Dataset]. https://eulerpool.com/en/data-analytics/financial-data/news/reuters-breakingviews
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    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Eulerpool Research Systems
    Authors
    Eulerpool
    Description

    Insightful and refined analysis on significant economic and business developments, covering monetary and fiscal policies, mergers and acquisitions, capital markets, and commodities. Reuters Breakingviews stands as the premier source for influential financial commentary. As the financial commentary arm of Reuters, it scrutinizes major business and economic events as they unfold globally each day. An international team of roughly 30 correspondents located in New York, London, Hong Kong, and other key cities delivers expert evaluations in real-time.

  8. Financial Markets News

    • eulerpool.com
    Updated Jun 22, 2025
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    Eulerpool (2025). Financial Markets News [Dataset]. https://eulerpool.com/en/data-analytics/financial-data/news/financial-markets-news
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    Dataset updated
    Jun 22, 2025
    Dataset provided by
    Eulerpool Research Systems
    Authors
    Eulerpool
    Description

    Daily, our exclusive access to Reuters delivers crucial insights into the foreign exchange, sovereign debt, and equities markets. We serve as the reliable gauge for market activities and their implications, providing early alerts on upcoming trends. Reuters’ market reporters possess extensive expertise and valuable connections, forming a central hub of market intelligence. They collaborate with Reuters bureaus worldwide to pinpoint significant market developments, adapting focus as political and policy issues arise, escalate, and subside. Working closely with these bureaus, they link political and policy actions to market reactions. Reuters swiftly reports the facts, followed by unique, expert market insights. Every business day, across major market sectors, Reuters addresses three critical questions for financial market professionals: 'What occurred?', 'Why is it important?', and 'What should be anticipated next?'

  9. F

    Market Hotness: Median Days on Market Day in Newport News City, VA

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Market Hotness: Median Days on Market Day in Newport News City, VA [Dataset]. https://fred.stlouisfed.org/series/MEDOYYDACOUNTY51700
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Market Hotness: Median Days on Market Day in Newport News City, VA (MEDOYYDACOUNTY51700) from Aug 2017 to May 2025 about Newport News City, VA; Virginia Beach; VA; median; and USA.

  10. T

    Market Hotness: Median Days on Market Day in Newport News City, VA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 29, 2025
    + more versions
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    TRADING ECONOMICS (2025). Market Hotness: Median Days on Market Day in Newport News City, VA [Dataset]. https://tradingeconomics.com/united-states/market-hotness-median-days-on-market-day-in-newport-news-city-va-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Apr 29, 2025
    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
    Newport News, Virginia
    Description

    Market Hotness: Median Days on Market Day in Newport News City, VA was 5.50000 Chg. in April of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Median Days on Market Day in Newport News City, VA reached a record high of 17.50000 in February of 2025 and a record low of -26.00000 in February of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Median Days on Market Day in Newport News City, VA - last updated from the United States Federal Reserve on May of 2025.

  11. o

    How editors choose which human rights news to cover: a case study of Mexican...

    • explore.openaire.eu
    Updated Jan 1, 2012
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    E. Mcpherson (2012). How editors choose which human rights news to cover: a case study of Mexican newspapers [Dataset]. https://explore.openaire.eu/search/other?orpId=od_109::ec73d0314e2550f57ef7fd1451b8eb0b
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    Dataset updated
    Jan 1, 2012
    Authors
    E. Mcpherson
    Description

    While much of this book is focused on the effects of human rights coverage on mobilization, we must remember that this coverage is not produced in a vacuum. During the day-to-day practice of journalism, members of the media are affected by a variety of influences that determine not only what information they choose to report and how they report it, but also what information they choose to ignore. These choices – or, as the case may be, commands – shape the human rights information transmitted by the media, and, if we presume that this information has an effect on its audiences, shape mobilization as well. It is therefore very important to understand the influences on human rights reporting. Through a case study of human rights reporting at Mexican newspapers, I aim to provide an overview of what journalists are trying to do when they cover human rights stories and how these aims interact with overt influences on journalism, such as economic considerations and political pressures, to produce human rights news. To do this, I have developed a framework for thinking about how the headlines are plucked from the informational ether of every news day. Specifically, information is assessed against basic criteria of newsworthiness. Of that which is considered newsworthy, the more a particular piece of information is in line with a newspaper’s journalistic, economic, and political aims relative to other bits of information, the more likely it is to be published. I explain these assessment categories in turn in this chapter, describing what kinds of human rights news survive this winnowing at Mexican newspapers.

  12. Yahoo stock prediction by News

    • kaggle.com
    Updated Sep 2, 2022
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    DEEPAK JOSHI (2022). Yahoo stock prediction by News [Dataset]. https://www.kaggle.com/datasets/deepakjoshi2k/yahoo-stock-prediction-by-news
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 2, 2022
    Dataset provided by
    Kaggle
    Authors
    DEEPAK JOSHI
    License

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

    Description

    Use this Data set for sentiment analysis from news articles and predict whether the stock price goes up or not. Use features like Title and content for NLP and label as target column. This is time series data. The stock price was scraped via Yahoo Finance and news data was scraped via dataset from Kaggle. The label is created as " 1 " if the close price is greater than the open price else it is " 0 ".

  13. Machine Readable News Analytics

    • lseg.com
    json
    Updated Nov 25, 2024
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    LSEG (2024). Machine Readable News Analytics [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/financial-news-coverage/political-news-feeds-analysis/news-analytics
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Transform today’s vast amounts of unstructured data into actionable insights that maximize your returns, with LSEG News Analytics.

  14. T

    United States GDP Growth Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 29, 2025
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    TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 29, 2025
    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
    Jun 30, 1947 - Mar 31, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States contracted 0.20 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  15. Data from: ABC News/Washington Post Poll #1, September 1990

    • icpsr.umich.edu
    ascii
    Updated Feb 17, 1992
    + more versions
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    Inter-university Consortium for Political and Social Research [distributor] (1992). ABC News/Washington Post Poll #1, September 1990 [Dataset]. http://doi.org/10.3886/ICPSR09557.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 17, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9557/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9557/terms

    Time period covered
    Sep 6, 1990 - Sep 9, 1990
    Area covered
    United States
    Description

    This data collection is part of a continuing series of monthly surveys that evaluate the Bush presidency and solicit opinions on a variety of political and social issues. Major topics covered include Iraq's invasion of Kuwait, the economy, the federal government, and the upcoming congressional election. Respondents were asked if they approved of the way Bush, King Hussein of Jordan, Mikhail Gorbachev, and Jesse Jackson were handling the situation caused by Iraq's invasion of Kuwait, how important it was for Iraq to withdraw from Kuwait, if they approved of Bush's decision to send American military forces to the Persian Gulf, if they thought Bush had been tough enough with Iraq, if the United States should strike first against Iraq, if the United States would have to get involved in a land war with Iraq, and if the economic boycott would make Iraq withdraw from Kuwait. Concerning economic issues, respondents were questioned about consumer prices and taxes. They were also asked for their opinions on which country was the strongest economic power, whether life was easier or harder for young people currently, and whether it would be easier or harder ten years from now. Other questions revolved around confidence in various American institutions, respondent's trust in the federal government, the level of ethics and honesty in politics, the degree to which public officials care about people like the respondent, and the importance of various political and social issues in deciding which candidate and political party to vote for on election day. Background information on respondents includes political alignment, 1988 presidential vote choice, registered voter status, education, age, religion, social class, marital status, number of people in the household, labor union membership, employment status, race, income, sex, and state/region of residence.

  16. F

    Economic Policy Uncertainty Index for United States

    • fred.stlouisfed.org
    json
    Updated Jun 24, 2025
    + more versions
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    (2025). Economic Policy Uncertainty Index for United States [Dataset]. https://fred.stlouisfed.org/series/USEPUINDXD
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    jsonAvailable download formats
    Dataset updated
    Jun 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Economic Policy Uncertainty Index for United States (USEPUINDXD) from 1985-01-01 to 2025-06-23 about uncertainty, academic data, indexes, and USA.

  17. CBS News/New York Times Monthly Poll, December 2009

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Jul 8, 2011
    + more versions
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    Inter-university Consortium for Political and Social Research [distributor] (2011). CBS News/New York Times Monthly Poll, December 2009 [Dataset]. http://doi.org/10.3886/ICPSR30407.v1
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    ascii, spss, delimited, sas, stataAvailable download formats
    Dataset updated
    Jul 8, 2011
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/30407/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30407/terms

    Time period covered
    Dec 2009
    Description

    This poll, fielded December 4-8, 2009, is a part of a continuing series of monthly surveys that solicits public opinion on the presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way Barack Obama was handling his job as president, job creation, the economy, the situation in Afghanistan, and health care. Several questions addressed the economy and included questions that asked for respondents' opinions on the condition of the economy, the recession, who they thought was to blame for the current high employment rate in the United States, whether they thought Republicans or Democrats would create new jobs, and whether the government's stimulus package made the economy better or created new jobs. Respondents were asked about their personal financial situation, their rating of their household's financial situation, whether they thought their financial situation was getting better, what worried them the most about their finances, whether they had made cutbacks in their day-to-day spending, how their family had been affected by the recession, and whether they discussed the financial changes with their children. Information was collected on respondents' employment status. Unemployed respondents were asked how long they had been out of work and seeking employment, how long they expected it to take to find employment, whether they were laid off, whether they were offered a severance package with their last employer, what was most effective in finding leads for new jobs, and whether they had relocated, considered changing their career, or pursued job re-training programs to increase their chances of finding employment. Respondents were asked how confident they were that they would find a job with the same income and benefits as their last job, whether they were receiving unemployment benefits, and whether they took any money from their savings account, borrowed money from family or friends, increased the household's credit card debt, cut back on vacations or doctors visits, or received food stamps as result of being unemployed. Respondents were also asked whether the following things occurred as a result of them being unemployed: positive experiences, increase in volunteer work or religious service attendance, increased stress levels or exercise time, threatened with foreclosure, had more arguments with family, emotional or mental health issues, or had trouble sleeping. Other topics covered included global warming, health insurance plans, health care reform, job security, and the war in Afghanistan. Demographic information includes sex, age, race, education level, household income, military service, religious preference, reported social class, type of residential area (e.g., urban or rural), political party affiliation, political philosophy, voter registration status, and whether respondents thought of themselves as born again Christians.

  18. CBS News/New York Times National Poll, May #1, 2011

    • icpsr.umich.edu
    • search.datacite.org
    ascii, delimited, sas +2
    Updated Jun 13, 2012
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    Inter-university Consortium for Political and Social Research [distributor] (2012). CBS News/New York Times National Poll, May #1, 2011 [Dataset]. http://doi.org/10.3886/ICPSR33963.v1
    Explore at:
    stata, sas, delimited, ascii, spssAvailable download formats
    Dataset updated
    Jun 13, 2012
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/33963/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/33963/terms

    Time period covered
    May 2011
    Area covered
    United States
    Description

    This survey, fielded May 2-3, 2011, is part of a continuing series of monthly surveys that solicits public opinion on a range of political and social issues. Respondents were asked for their opinions of political figures President Barack Obama, First Lady Michelle Obama, Tim Pawlenty, Sarah Palin, Donald Trump, Oprah Winfrey, and members of the British royal family: Prince Charles and Lady Camilla. Respondents were also asked their opinions about the following issues: United States troops in Afghanistan, gas prices, abortion, the American Civil War, Guantanamo Bay detention camp, Islam, and the Tea Party movement. Additional topics included personal happiness, home furnishings and decor, the effects of positive thinking, being a mother, the economic gap, plans for Memorial Day weekend, movies, Donald Trump's wealth, celebrities, prosecuting athletes for cheating, air travel, the Internet, new electronics, lying about one's age, and graffiti. Respondents were asked further background questions about whether they approved of the way President Obama was handling the presidency, including foreign policy, the economy, and the war in Afghanistan. Opinions were sought on how Osama bin Laden's death affected terrorism and respondents' personal security, the war on terror, and the mission in Afghanistan. Respondents were also asked if they were proud to be an American, whether they had a close family member or friend or knew anyone who died in the September 11, 2001 terrorist attacks, or had a family member in the armed forces. Demographic information includes sex, age, race, education level, household income, marital status, religious preference, employment status, type of residential area (e.g., urban or rural), state of residence, type of phone(s), number of phones, political party affiliation, political philosophy, voting behavior, and whether the respondent is an evangelical or a born-again Christian.

  19. U.S. monthly projected recession probability 2020-2025

    • statista.com
    Updated Jan 3, 2025
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    Statista (2025). U.S. monthly projected recession probability 2020-2025 [Dataset]. https://www.statista.com/statistics/1239080/us-monthly-projected-recession-probability/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2020 - Nov 2025
    Area covered
    United States
    Description

    By November 2025, it is projected that there is a probability of 33.56 percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

  20. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 15, 2025
    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 3, 1928 - Jun 9, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6008 points on June 9, 2025, gaining 0.13% from the previous session. Over the past month, the index has climbed 2.80% and is up 12.07% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

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MT Newswires (2024). Live Briefs INVESTOR US - US Financial Markets News [Dataset]. https://datarade.ai/data-products/live-briefs-investor-us-us-financial-markets-news-mt-newswires

Live Briefs INVESTOR US - US Financial Markets News

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Dataset updated
Feb 17, 2024
Dataset authored and provided by
MT Newswires
Area covered
United States
Description

Live Briefs Investor – US Covering thousands of listed securities and events across 80 news categories, Live Briefs Investor US is specifically designed to keep individual investors and active traders on top of breaking news that is likely to affect their portfolios.

Most of the largest and most respected retail and self-directed brokerage firms in the North America rely on MT Newswires to provide their clients with complete coverage of the financial markets. The Investor service includes timely and insightful commentary on equities, commodities, ETFs, economics, forex, options and fixed income assets throughout the day (6:30 am to 6:30 pm EST).

Every story is ticker-tagged and category-coded to allow for seamless platform integration. US Equities – significant events affecting individual public companies in the US: After-hours and pre-market news, trading activity and technical price level indications; Earnings estimate change alerts; Analyst Rating Changes- the most comprehensive view and coverage of rating changes available anywhere; ETF Power Play – daily trends in ETF trading activity; Mini and detailed sector summaries – pre-market, mid-day, and closing; Market Chatter – real-time coverage of trading desk rumors and breaking news; Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.).

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