📝 Description

This dataset contains over 400,000 macroeconomic events collected from global sources across more than 90 countries and regions, covering years 2020–2025. It mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets.

Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.

You can use this dataset for:

• 📈 Economic forecasting and sentiment analysis
• 💹 Financial market event-driven modeling
• 🧠 Machine learning applications on macroeconomic signals
• 🌍 Comparative studies of country-level indicators

📊 Dataset Structure

🌐 Coverage

• Zones: 90+ economies — including United States, Euro Zone, China, Japan, United Kingdom, India, Brazil, Australia, Türkiye, South Africa, and more.
• Currencies: USD, EUR, JPY, GBP, CNY, INR, and 50+ others.
• Time Period: ~2000 to 2025 (depending on data availability).
• Events Count: 409,234 records.

⚙️ Data Quality Notes

• Missing values in currency, importance, or actual columns occur mainly for minor or regional events.
• Times are reported as given in the source; some may represent local times.
• The dataset is cleaned and standardized for country and currency fields but can be further enriched with ISO country codes or UTC timestamps.

🧠 Example Use Cases

1. Market Volatility Forecasting: Use event importance and actual-vs-forecast deviations to predict short-term asset volatility.
2. Macroeconomic Trends: Track inflation or employment releases over time by country or region.
3. Event Sentiment Modeling: NLP on the event column for topic clustering (e.g., inflation vs. housing).
4. Calendar Effect Studies: Combine with asset price data (SPX, EURUSD, etc.) to measure event-driven reactions.

📦 File Info

• economic_calendar.csv

  • 409,234 rows
  • 10 columns
  • Size: ~31 MB

🏁 Tags

economics, macroeconomics, finance, forex, stock-market, forecasting, time-series, machine-learning, econometrics

🔗 Suggested License

If it’s scraped or aggregated from public calendars (like Investing.com), use: CC BY-NC-SA 4.0 — Attribution-NonCommercial-ShareAlike.

This index monitors perpetual and annual calendar complications from Patek Philippe 5140/5327, VC Patrimony, AP Royal Oak, Lange Langematik, JLC Master Perpetual, and IWC Portuguese. It tracks appreciation for mechanical calendar computers displaying day, date, month, year, moon phases, and leap year cycles. Use this index as a key indicator for intellectual complication preference, mechanical computer fascination, and long-term calendar functionality desirability.

A dataset of public corporate filings (such as annual reports, quarterly reports, and ad-hoc disclosures) for baby calendar Inc. (7363), provided by FinancialReports.eu.

Extracted economic calendar data from 23-01-2013 to 15-05-2023 from all countries.

Columns - date (d-m-y h:m:s) - title of the economic indicator - country from which data originate - indicator name - commentary on the change in value - actual value - previous value - forecast value for the next month - importance of the value

Africa Economic Calendar Dataset

  Dataset Description

This dataset contains 111,450 macroeconomic events from 18 African countries, spanning from 2020 to 2025. The dataset mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets. Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-economic-calendar-2020-2025.

Advanced sales data for statistical analysis decomposing Patek Philippe perpetual calendar returns into systematic (beta) and idiosyncratic (alpha) components. Essential for hedge funds building factor models for luxury watch investments. Includes stress testing during financial crises and quantified liquidity premiums across different market conditions.

Change Calendar for IT Market Outlook

According to our latest research, the Change Calendar for IT market size reached USD 1.42 billion in 2024, driven by the increasing demand for efficient IT change management solutions across industries. The market is expected to grow at a CAGR of 12.3% during the forecast period, reaching USD 4.03 billion by 2033. This robust growth is primarily attributed to the escalating complexity of IT infrastructures, which necessitates advanced scheduling and coordination tools to minimize service disruptions and enhance operational efficiency.

One of the primary growth factors for the Change Calendar for IT market is the accelerating pace of digital transformation initiatives undertaken by enterprises worldwide. As organizations increasingly migrate to cloud-based platforms and adopt various digital tools, the volume and complexity of IT changes have surged. This has heightened the need for sophisticated change calendar solutions that can provide real-time visibility, automate scheduling, and ensure compliance with regulatory standards. The integration of artificial intelligence and machine learning into these solutions further amplifies their capabilities, allowing IT teams to predict potential conflicts, optimize resource allocation, and proactively manage risks associated with change management processes.

Another significant driver is the growing emphasis on IT service continuity and risk mitigation. In today’s hyper-connected business environment, even minor disruptions in IT services can lead to substantial financial losses and reputational damage. Change calendar tools are increasingly being adopted to orchestrate change management activities across distributed IT environments, ensuring that changes are executed in a controlled and transparent manner. This not only minimizes the risk of service outages but also facilitates better communication and collaboration among IT teams, stakeholders, and end-users. The rise of remote work and distributed teams has further underscored the importance of centralized scheduling and coordination platforms, fueling market demand.

The proliferation of regulatory frameworks and industry standards, particularly in highly regulated sectors such as BFSI and healthcare, is also propelling the adoption of change calendar solutions. Organizations in these sectors are required to maintain detailed audit trails and demonstrate compliance with stringent data protection and operational continuity mandates. Change calendar tools enable automated documentation, approval workflows, and reporting capabilities, helping enterprises meet regulatory requirements efficiently. Furthermore, the increasing frequency of cyber threats and the need for robust incident response mechanisms have made change calendars an integral part of modern IT governance and risk management strategies.

From a regional perspective, North America continues to dominate the Change Calendar for IT market, accounting for the largest share in 2024, thanks to the early adoption of advanced IT management tools, a mature IT services ecosystem, and significant investments in digital infrastructure. However, the Asia Pacific region is poised for the fastest growth over the forecast period, driven by rapid digitalization, expanding IT service sectors, and increasing awareness of the benefits of structured change management processes. Europe also represents a significant market, bolstered by stringent regulatory requirements and the widespread adoption of ITIL-based frameworks across industries. Latin America and the Middle East & Africa are emerging markets, with growing investments in IT modernization initiatives and a rising focus on operational efficiency.

Component Analysis

The Component segment in the Change Calendar for IT market is primarily bifurcated into software and services. Software solutions account for the majority of market revenue, as organizations increasingly invest in robust, feature-rich platforms that offer comprehensive change scheduling, automation, and analytics capabilities. Modern change calendar software integrates seamlessly with other IT service management (ITSM) tools, providing a unified interface for managing change requests, approvals, and execution timelines. The demand for SaaS-based offerings is particularly high, as they provide scalability, flexibility, and rapid deployment, which are critical for organizations with dynamic IT environments.<br /&

content

This dataset records world economic events on a calendar basis. Date, time, country/zone, currency, event name, importance level, and actual/predicted/previous economic values (if available) are among the details that are included in each row, which represents a single event. Columns such as id, date, time, zone, currency, importance, event, actual, forecast, and prior are included in the dataset. These areas aid in monitoring market-moving announcements, national public events and holidays, and economic indicators.

context

Financial analysis, forecasting, and comprehending the impact of world events on markets and currencies may all be done with this dataset. These economic calendars are used by traders, economists, and data analysts to examine how significant announcements (such as interest rates, inflation figures, and holidays) affect market activity. Time-series forecasting models, market reaction studies, and EDA initiatives that investigate the connections between financial patterns and economic events can all benefit from its support.

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.

US Tax Calendar

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

A data set of payments made to vendors in 2021. Checkbook level data. When analyzing this data be aware that the sum amount and voucher are unique amounts, the payment amount is the total of a check. A check often includes more than one voucher. As a result of the Red Flag Commission recommendations, Ordinance 970032 was passed by the City Council Jan. 23, 1997. This ordinance requires the city to publish a report every two weeks listing all city payments.

Provide the local tax tax calendar of the Yilan County Government Finance and Taxation Bureau.

The aim of this paper was to analyze the relationship between Mondays and the profitability provided by Brazilian hedge funds. We used a data basis composed of 3,337 hedge funds, totaling 3,529,808 observations of daily data, during the period from January 2005 until September 2013. To test the hypothesis, we used regression with panel data and we inserted control variables in the model that the literature points out as relevant. The main results showed that the Monday effect also occurs in the hedge funds segment and this effect is intensified in periods of financial crisis. However, we show that the effect is not consistent across all sub-categories of hedge funds. The results were persistent for funds which don't have a redemption period, as well as for the control for the Ibovespa daily returns. The discussion was mainly based on Behavioral Finance Theory in seeking potential explanations for this anomaly.

Tax Law section 31(e) requires the Tax Department to produce an Excelsior Jobs Program Credit Report by June 30th of each year. The program is administered by Empire State Development and offers a tax credit comprised of five credit components focused on certain strategic industries such as biotechnology, pharmaceutical, high-tech, clean-technology, green technology, financial services, child care services, agriculture, manufacturing and life sciences. The components of the credit are the jobs tax credit, the investment tax credit, the research and development tax credit, the real property tax credit, and the child care services tax credit. Firms in the strategic industries that create and maintain new jobs or make significant investments are eligible to apply for the credit.

Capital One Financial reported $468.11B in Trade Creditors for its fiscal quarter ending in June of 2025. Data for Capital One Financial | COF - Trade Creditors including historical, tables and charts were last updated by Trading Economics this last December in 2025.

On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

Due to the large size of the complete dataset, a selected set of data representing a wide range of commonly used data items, has been created that can be easily managed and downloaded. The selected data file includes general hospital information, utilization data by payer, revenue data by payer, expense data by natural expense category, financial ratios, and labor information.

There are two groups of data contained in this dataset: 1) Selected Data - Calendar Year: To make it easier to compare hospitals by year, hospital reports with report periods ending within a given calendar year are grouped together. The Pivot Tables for a specific calendar year are also found here. 2) Selected Data - Fiscal Year: Hospital reports with report periods ending within a given fiscal year (July-June) are grouped together.

Financial Intermediary Funds (FIFs) are multilateral financing arrangements for which the World Bank provides Trustee services that include committing and transferring funds to project implementers (generally international organizations such as multilateral development banks or UN agencies). In all cases the World Bank as Trustee is required to act in accordance with instructions of independent governing bodies.

In fulfilling its responsibilities, the World Bank as Trustee complies with all sanctions applicable to World Bank transactions.

Funding Decisions represent amounts approved by the FIFs governing bodies for projects fees and administrative budgets. Funding to projects can be done through various financial products, including grants and concessional loans.

First Financial Bancorp reported $97.17M in Interest Expense on Debt for its fiscal quarter ending in December of 2024. Data for First Financial Bancorp | FFBC - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data was reported at 3.400 PEN/USD in Oct 2018. This records an increase from the previous number of 3.380 PEN/USD for Sep 2018. Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data is updated monthly, averaging 3.075 PEN/USD from Dec 2003 (Median) to Oct 2018, with 132 observations. The data reached an all-time high of 3.700 PEN/USD in Feb 2016 and a record low of 2.600 PEN/USD in Apr 2013. Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.M010: Foreign Exchange Rate: Forecast: Central Reserve Bank of Peru.

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.

This index monitors ladies' watches with complications including Cartier Tank MC calendar/Rotonde moon phase, Chanel Premiere moon phase/J12 calendar, Omega Constellation annual calendar/De Ville moon phase, Patek Philippe Twenty~4 calendar/Calatrava ladies complications, JLC Reverso ladies complications, and VC Patrimony ladies calendar. It tracks the appetite for mechanical complexity, sophisticated functionality appreciation, and women's technical horological interest.