Daily News Sentiment Index data was reported at -0.085 Index in 04 May 2025. This records an increase from the previous number of -0.104 Index for 03 May 2025. Daily News Sentiment Index data is updated daily, averaging 0.017 Index from Jan 1980 (Median) to 04 May 2025, with 16542 observations. The data reached an all-time high of 0.330 Index in 05 Mar 2017 and a record low of -0.671 Index in 15 May 2020. Daily News Sentiment Index data remains active status in CEIC and is reported by Federal Reserve Bank of San Francisco. The data is categorized under Global Database’s United States – Table US.S030: Daily News Sentiment Index.

View LSEG's extensive Economic Data, including content that allows the analysis and monitoring of national economies with historical and real-time series.

Get access to expert global economic and central banking news coverage including exclusive polls on 700 annual key economic releases and policy decisions.

Dataset Description

The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.

The dataset holds 11,932 documents annotated with 3 labels:

sentiments = { "LABEL_0": "Bearish", "LABEL_1": "Bullish", "LABEL_2": "Neutral" }

The data was collected using the Twitter API. The current dataset supports the multi-class classification… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.

Leading Economic Index Guatemala increased 3.80 percent in May of 2025 over the same month in the previous year. This dataset provides - Guatemala Leading Economic Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Get data on announced projects funded through the Rural Economic Development (RED) program.

Ontario's RED program funds projects that stimulate economic growth in rural and Indigenous communities.

The data includes:

• name of the organization that requested funding
• county or district where the organization is located
• project name
• date that funding was approved
• amount of funding provided

From 2013 to 2016, the RED program funded projects led by businesses or communities.

Starting in 2017, the RED program only focuses on projects led by:

• not-for-profit organizations
• municipalities
• local service boards
• Indigenous communities and organizations

Learn more about the Rural Economic Development program.

Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

News Sentiment Index Trend data was reported at 104.830 Index in 02 May 2025. This records a decrease from the previous number of 106.560 Index for 30 Apr 2025. News Sentiment Index Trend data is updated daily, averaging 101.190 Index from Jan 2005 (Median) to 02 May 2025, with 7076 observations. The data reached an all-time high of 125.840 Index in 03 May 2021 and a record low of 59.790 Index in 15 Mar 2020. News Sentiment Index Trend data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S013: News Sentiment Index.

Economic Policy Uncertainty : News-Based for the United States was 715.59055 Index in April of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 715.59055 in April of 2025 and a record low of 44.78275 in July of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on May of 2025.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Trade (EMVMACROTRADE) from Jan 1985 to Jun 2025 about volatility, uncertainty, equity, trade, and USA.

Leading Economic Index the United States increased to 98.80 in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Coincident Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Leading Economic Index Honduras increased 3.50 percent in May of 2025 over the same month in the previous year. This dataset provides - Honduras Leading Economic Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines


    Forex Pair
    Headline
    Sentiment
    Explanation




    GBPUSD 
    Diminishing bets for a move to 12400 
    Neutral
    Lack of strong sentiment in either direction


    GBPUSD 
    No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
    Positive
    Positive sentiment towards GBPUSD (Cable) in the near term


    GBPUSD 
    When are the UK jobs and how could they affect GBPUSD 
    Neutral
    Poses a question and does not express a clear sentiment


    JPYUSD
    Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
    Positive
    Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply


    USDJPY
    Dollar rebounds despite US data. Yen gains amid lower yields 
    Neutral
    Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other


    USDJPY
    USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
    Negative
    USDJPY is expected to reach a lower value, with the USD losing value against the JPY


    AUDUSD

    <p>RBA Governor Lowe’s Testimony High inflation is damaging and corrosive </p>

    Positive
    Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.

Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

The survey results showed that the main source of political and economic news in Ukraine as of March 2019 was national television, with over three quarters of respondents getting information from Ukrainian TV. One fifth of the population used social media to stay up-to-date with the latest developments on these topics .

United States ASS: Exp: Info: Other Info: News Syndicates data was reported at 1.751 USD bn in 2016. This records an increase from the previous number of 1.744 USD bn for 2015. United States ASS: Exp: Info: Other Info: News Syndicates data is updated yearly, averaging 1.653 USD bn from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 1.751 USD bn in 2016 and a record low of 1.496 USD bn in 2010. United States ASS: Exp: Info: Other Info: News Syndicates data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

Graph and download economic data for Total Construction, Value, Engineering News-Record for United States (M02107USM398NNBR) from Jan 1913 to Dec 1962 about engineering, construction, and USA.

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.

MSCI World: Reflecting Global Economic Trends or Inflated Valuations?

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

Dataset

This dataset was created by Himalaya Ashish

Contents

Key information about United States Categorical Economic Policy Uncertainty Index: United States

• United States Categorical Economic Policy Uncertainty Index was reported at 313.268 Index in Feb 2025.
• This records an increase from the previous number of 236.696 Index for Jan 2025.
• US Categorical Economic Policy Uncertainty Index data is updated monthly, averaging 93.847 Index from Jan 1985 to Feb 2025, with 482 observations.
• The data reached an all-time high of 503.012 Index in Apr 2020 and a record low of 37.266 Index in Jul 2007.
• US Categorical Economic Policy Uncertainty Index data remains active status in CEIC and is reported by Economic Policy Uncertainty.
• The data is categorized under World Trend Plus’s Economic Policy Uncertainty Index – Table: Categorical Economic Policy Uncertainty Index: By Country.

The Categorical Data include a range of sub-indexes based solely on news data. These are derived using results from the Access World News database of over 2,000 US newspapers. Each categorical series is multiplicatively normalized to have a mean of 100 from 1985-2010.

The Japanese government announced an updated version of economic emergency relief package on April 20, 2020, in response to the growing impact of the coronavirus disease (COVID-19) on Japan's economy. The planned stimulus package reached a value of approximately *** trillion Japanese yen ,more than twice the amount of the economic measures taken by the government in 2009 when the global economic recession occurred. Compared to the last version released on April 7, roughly **** trillion yen was added to the plan.

In April, the government declared a state of emergency for all ** prefectures and insisted citizens to stay home and work from home until the end of May. It was, however, lifted in ** prefectures on ****** as the number of new infection cases went down. As of May 18 , 2020, there were a total of ****** confirmed cases of COVID-19 in Japan.