The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

Stay informed with our comprehensive Financial News Dataset, designed for investors, analysts, and businesses to track market trends, monitor financial events, and make data-driven decisions.

Dataset Features

Financial News Articles: Access structured financial news data, including headlines, summaries, full articles, publication dates, and source details. Market & Economic Indicators: Track financial reports, stock market updates, economic forecasts, and corporate earnings announcements. Sentiment & Trend Analysis: Analyze news sentiment, categorize articles by financial topics, and monitor emerging trends in global markets. Historical & Real-Time Data: Retrieve historical financial news archives or access continuously updated feeds for real-time insights.

Customizable Subsets for Specific Needs Our Financial News Dataset is fully customizable, allowing you to filter data based on publication date, region, financial topics, sentiment, or specific news sources. Whether you need broad coverage for market research or focused data for investment analysis, we tailor the dataset to your needs.

Popular Use Cases

Investment Strategy & Risk Management: Monitor financial news to assess market risks, identify investment opportunities, and optimize trading strategies. Market & Competitive Intelligence: Track industry trends, competitor financial performance, and economic developments. AI & Machine Learning Training: Use structured financial news data to train AI models for sentiment analysis, stock prediction, and automated trading. Regulatory & Compliance Monitoring: Stay updated on financial regulations, policy changes, and corporate governance news. Economic Research & Forecasting: Analyze financial news trends to predict economic shifts and market movements.

Whether you're tracking stock market trends, analyzing financial sentiment, or training AI models, our Financial News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

Graph and download economic data for St. Louis Fed Economic News Index: Real GDP Nowcast (STLENI) from Q2 2013 to Q3 2025 about nowcast, projection, real, GDP, rate, indexes, and USA.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August 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.

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.

United States Leading Economic Index data was reported at 101.100 2016=100 in Feb 2025. This records a decrease from the previous number of 101.400 2016=100 for Jan 2025. United States Leading Economic Index data is updated monthly, averaging 59.950 2016=100 from Jan 1959 (Median) to Feb 2025, with 794 observations. The data reached an all-time high of 120.200 2016=100 in Dec 2021 and a record low of 22.200 2016=100 in Jan 1959. United States Leading Economic Index data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Sep 2025 about recession indicators, academic data, and USA.

Denton economic data from the American Community Survey (ACS)

🇺🇸 Alphabet Inc. (GOOGL) Comprehensive Financial Dataset

📌 Overview

Welcome to the GOOGL Financial Dataset! This dataset provides clear and easy-to-use quarterly financial statements (income statement, balance sheet, and cash flow) along with daily historical stock prices.

As a data engineer double majored with economics, I'll personally analyze and provide constructive feedback on all your work using this dataset. Let's dive in and explore Google's financial journey together!

🗃 Files Included

• googl_daily_prices.csv: Historical daily stock prices.
• googl_income_statement.csv: Quarterly income statements.
• googl_balance_sheet.csv: Quarterly balance sheets.
• googl_cash_flow_statement.csv: Quarterly cash flow statements.

📘 About This Dataset

This dataset offers a unique blend of long-term market performance and detailed financial metrics:

• Time Series of Daily Prices: Track the historical performance of GOOGL stock from its early days up until now.
• Quarterly Financial Statements: Dive into the income statements, balance sheets, and cash flow statements that reflect the company’s financial evolution.
• Integrated Insights: Ideal for comprehensive financial analyses, forecasting, model building, and exploring the dynamic interplay between market performance and underlying business operations.

Whether you're building predictive models, performing deep-dive financial analysis, or exploring the evolution of one of the world's most innovative tech giants, this dataset is your go-to resource for clean, well-organized, and rich financial data.

💡 Tips for Using the Dataset

• Visualize Stock Trends: Plot daily prices to quickly understand stock movements.
• Financial Analysis: Compare income, balance sheet, and cash flow data to spot financial trends and health.
• Predictive Modeling: Use this dataset to build forecasting models and predict future performance.
• Combine Data: Merge price data with financial statements to analyze relationships and uncover deeper insights.

🔗 Works Great with My GOOGL News Dataset!

For a more comprehensive financial analysis, pair this dataset with my other Kaggle dataset:
👉 Google (Alphabet Inc.) Daily News — 2000 to 2025

That dataset includes:

• Daily news articles from Finnhub
• Headlines, summaries, sources, and timestamps
• Covering GOOGL from 2000 to 2025

Combining both datasets unlocks powerful analysis such as:

• Correlating news sentiment with stock price movements
• Studying the impact of earnings reports and product launches
• Developing event-driven forecasting models

Together, they give you everything you need for news + financial signal modeling.

📝 Column Descriptions

📈 googl_daily_prices.csv

• date: Trading date.
• 1. open: Opening stock price on the trading day.
• 2. high: Highest stock price on the trading day.
• 3. low: Lowest stock price on the trading day.
• 4. close: Closing stock price on the trading day.
• 5. volume: Number of shares traded on the day.

📊 googl_income_statement.csv

• fiscalDateEnding: Date marking the end of fiscal quarter.
• reportedCurrency: Currency used in reporting (USD).
• grossProfit: Revenue minus the cost of goods sold.
• totalRevenue: Total income generated from operations.
• costOfRevenue: Direct costs attributable to the production of goods.
• costofGoodsAndServicesSold: Costs directly associated with goods sold.
• operatingIncome: Earnings after operating expenses deducted.
• sellingGeneralAndAdministrative: Administrative and general sales costs.
• researchAndDevelopment: Expenses related to research and innovation.
• operatingExpenses: Total operational costs.
• investmentIncomeNet: Net income from investments.
• netInterestIncome: Income earned from interest after deducting interest paid.
• interestIncome: Income generated from interest-bearing investments.
• interestExpense: Expenses from interest payments.
• nonInterestIncome: Income from non-interest-bearing activities.
• otherNonOperatingIncome: Additional income outside regular operations.
• depreciation: Reduction in value of assets over time.
• depreciationAndAmortization: Combined depreciation and amortization costs.
• incomeBeforeTax: Income before taxation.
• incomeTaxExpense: Taxes paid on earnings.
• interestAndDebtExpense: Interest paid on debts.
• netIncomeFromContinuingOperations: Profit from ongoing operations.
• comprehensiveIncomeNetOfTax: Income after comprehensive expenses.
• ebit: Earnings before interest and taxes.
• ebitda: Earnings before interest, taxes, depreciation, and...

View Reuters Polls to understand the views of top forecasters in financial markets, and gain polling history of detailed forecasts and consensus estimates.

United States Leading Economic Index: MoM data was reported at -0.300 % in Feb 2025. This records a decrease from the previous number of -0.200 % for Jan 2025. United States Leading Economic Index: MoM data is updated monthly, averaging 0.300 % from Feb 1959 (Median) to Feb 2025, with 793 observations. The data reached an all-time high of 2.200 % in Jun 2020 and a record low of -5.500 % in Apr 2020. United States Leading Economic Index: MoM data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.The Conference Board: Leading Economic Index. [COVID-19-IMPACT]

View monthly updates and historical trends for US Index of Consumer Sentiment. from United States. Source: University of Michigan. Track economic data wit…

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.

Poland Warsaw Interbank Offered Rate: ACI Polska: Tomorrow data was reported at 1.550 % pa in Nov 2018. This records a decrease from the previous number of 1.600 % pa for Oct 2018. Poland Warsaw Interbank Offered Rate: ACI Polska: Tomorrow data is updated monthly, averaging 4.490 % pa from Jan 1999 (Median) to Nov 2018, with 239 observations. The data reached an all-time high of 23.170 % pa in Feb 2001 and a record low of 1.470 % pa in Feb 2016. Poland Warsaw Interbank Offered Rate: ACI Polska: Tomorrow data remains active status in CEIC and is reported by Polish Financial Markets Association ACI Polska. The data is categorized under Global Database’s Poland – Table PL.M008: Warsaw Interbank Offer Rate: Polish Financial Markets Association ACI Polska.

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.

Consumer Price Index CPI in the United States increased to 324.80 points in September from 323.98 points in August of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Poland Warsaw Interbank Bid Rate: ACI Polska: Tomorrow data was reported at 1.250 % pa in Nov 2018. This records a decrease from the previous number of 1.310 % pa for Oct 2018. Poland Warsaw Interbank Bid Rate: ACI Polska: Tomorrow data is updated monthly, averaging 4.220 % pa from Jan 1999 (Median) to Nov 2018, with 239 observations. The data reached an all-time high of 20.190 % pa in Feb 2001 and a record low of 1.170 % pa in Feb 2016. Poland Warsaw Interbank Bid Rate: ACI Polska: Tomorrow data remains active status in CEIC and is reported by Polish Financial Markets Association ACI Polska. The data is categorized under Global Database’s Poland – Table PL.M007: Warsaw Interbank Bid Rate: Polish Financial Markets Association ACI Polska.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Serbia Belgrade Interbank Offered Rate: Tomorrow Next data was reported at 2.380 % pa in Oct 2018. This records an increase from the previous number of 2.290 % pa for Sep 2018. Serbia Belgrade Interbank Offered Rate: Tomorrow Next data is updated monthly, averaging 9.500 % pa from Aug 2005 (Median) to Oct 2018, with 159 observations. The data reached an all-time high of 18.720 % pa in Dec 2008 and a record low of 2.270 % pa in Jun 2018. Serbia Belgrade Interbank Offered Rate: Tomorrow Next data remains active status in CEIC and is reported by National Bank of Serbia. The data is categorized under Global Database’s Serbia – Table RS.M008: Belgrade Interbank Offered Rate.

United States SCE: Job Finding Expectation: Probability of Finding a Job in the Next 3 Months if One Loses a Job Today data was reported at 49.231 % in Apr 2025. This records a decrease from the previous number of 51.110 % for Mar 2025. United States SCE: Job Finding Expectation: Probability of Finding a Job in the Next 3 Months if One Loses a Job Today data is updated monthly, averaging 55.226 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 63.694 % in Jun 2019 and a record low of 45.657 % in Aug 2013. United States SCE: Job Finding Expectation: Probability of Finding a Job in the Next 3 Months if One Loses a Job Today data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H082: Survey of Consumer Expectations: Job.