Explore the intricate dance between gold prices and key economic events across major global players – Canada, Japan, USA, Russia, European Union, and China. This comprehensive dataset spans from January 2019 to December 2023, offering a nuanced analysis of how economic news from these influential regions impacts the ever-volatile gold market. Delve into the ebb and flow of financial landscapes, uncovering trends, correlations, and invaluable insights for strategic decision-making in the dynamic world of investments.

Historical Gold Price Dataset:

• Day: The day of the week when the data was recorded.
• Date: The specific date corresponding to the recorded gold price.
• Hour: The time of day when the gold price was recorded.
• Country: The country associated with the economic event or news affecting gold prices.
• Event: The economic event or news that potentially influenced gold prices.
• Actual: The actual reported value or figure related to the economic event.
• Previous: The previously reported value or figure for the same economic event.
• Consensus: The consensus forecast or expected value for the economic event.
• Forecast: The forecasted value or figure for the economic event.

** Economic Calendar Dataset**:

• Day: The day of the week when the economic event is scheduled.
• Date: The specific date when the economic event is expected to occur.
• Hour: The time of day when the economic event is scheduled.
• Country: The country associated with the economic event.
• Event: The specific economic event or news scheduled to take place.
• Actual The actual reported value or figure related to the economic event.
• Previous: The previously reported value or figure for the same economic event.
• Consensus: The consensus forecast or expected value for the economic event.
• Forecast: The forecasted value or figure for the economic event.

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.).

Context

Scraped from CNBC, the Guardian, and Reuters official websites, the headlines in these datasets reflects the overview of the U.S. economy and stock market every day for the past year to 2 years.

Content

• Data scraped from CNBC contains the headlines, last updated date, and the preview text of articles from the end of December 2017 to July 19th, 2020.
• Data scraped from the Guardian Business contains the headlines and last updated date of articles from the end of December 2017 to July 19th, 2020 since the Guardian Business does not offer preview text.
• Data scraped from Reuters contains the headlines, last updated date, and the preview text of articles from the end of March 2018 to July 19th, 2020.

Inspiration

I firmly believe that the sentiment of financial news articles reflects and directs the performance of the U.S. stock market. Therefore, by applying Natural Language Processing (NLP) through these headlines, I can see how the positivity/negativity of the score through each day correlate to the stock market's gains/losses.

The cover image was taken from https://hipwallpaper.com/stock-trader-wallpapers/

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.)

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.

Gallup's Economic Confidence Index is based on the combined responses to two questions, the first asking Americans to rate economic conditions in this country today, and second, whether they think economic conditions in the country as a whole are getting better or getting worse. Results are based on telephone interviews with approximately 3,500 national adults; margin of error is ±2 percentage points.

This dataset comprises approximately 130 news articles collected on the 20th of May, 2023, from the finance section of the Financial Times newspaper. Just found it useful for doing some sentiment analysis testing, thought I'd publish to Kaggle. Too small to be that useful, but great for validation

Also includes Premium content!!!

Disclaimer!

This goes against the FT's ToS. When I scraped it, they were much more lax and it was much easier. Unfortunately, this means I probably won't expand it as I was planning to upload a huge scrape of ~10,000 articles.

Update ~ 08/05/2024

Made into a CSV.

Context

This dataset contains around 41 500 french news from 11/2018 to 03/2021 scraped on a famous financial media website. For ease of use I’v add English translation (Helsinki-NLP/opus-mt-fr-en) and sentiment analysis (VADER)

Analysis

The picture below show the effect of covid crisis on news sentiment (Purple) and CAC40 (Blue). We see clearly a link between the news sentiment and the stocks market (Note : March 2020: The covid crisis break down / November 2020: Release of the pfizer vaccine) https://i.ibb.co/nLFdSHL/news-sentiment-vs-cac40.png" alt="">

CAC 40 next day open prediction (Works a little bit ) https://i.ibb.co/ZdhXVHy/CAC40-next-day-open-prediction.png" alt="">

CAC 40 next 20 day prediction (Multi-day prediction gets imprecise results...) https://i.ibb.co/Mgdzvzs/CAC40-next-20-day-prediction.png" alt="">

Compare the sentiment of news title, text and text in the URL. We can conclude that titles are often more dramatic to attract attention. https://i.ibb.co/K7nSkgd/news-sentiment-title-vs-summay-vs-text-in-URL.png" alt="">

-> See linked notebook.

Content

-> FrenchNews.csv This dataset contains around 41 500 french news from 11/2018 to 03/2021 scraped on a famous financial media website.

-> FrenchNewsDayConcat.csv The dataset FrenchNews.csv with post process to sample it at day and compare with CAC40.

The number of news per day varies form day to day (see FrenchNewsDayConcat.csv param NbrNewsJour). The amount of news increase with the time. https://i.ibb.co/xmBVDDR/nbr-of-news-per-day.png" alt="">

Inspiration

Could we use directly the text of the news scraped to make CAC40 prediction (NLP)? Use of the news text to find the main stream subject of news during the time.

Feel free to play with the dataset

Market Hotness: Median Days on Market Day in Newport News City, VA was -3.75000 Chg. in October 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 -25.50000 in January of 2021. 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 November of 2025.

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

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

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?'

Inflation Rate in the United States increased to 3 percent in September from 2.90 percent in August of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Attribute Information

1. Date: Dates (YYYY_MM_DD).
2. Close: The closing price of stocks.
3. Compound: Compound values of Text.
4. Negative: Negativity in Text.
5. Neutral: Neutrality in text.
6. Positive: Positivity in text.
7. Open: The opening stock price.
8. High: The Highest price of a stock in a day.
9. Low: The Lowest price of a stock in a day.
10. Volume: Total size of stocks.

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

During a 2024 survey, 77 percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just 23 percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis.

              Social media: trust and consumption

              Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than 35 percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than 50 percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media.

              What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis.
              Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers.
              Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.

Market Hotness: Median Days on Market Day in Virginia Beach-Norfolk-Newport News, VA-NC (CBSA) was 2.50000 Chg. in September of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Median Days on Market Day in Virginia Beach-Norfolk-Newport News, VA-NC (CBSA) reached a record high of 16.00000 in March of 2023 and a record low of -30.00000 in May of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Median Days on Market Day in Virginia Beach-Norfolk-Newport News, VA-NC (CBSA) - last updated from the United States Federal Reserve on November of 2025.

Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Non Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.