📝 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.

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Introduction

Explore the archive of relevant economic information: relevant news on all indicators with explanations, data on past publications on the economy of the United States, Britain, Japan and other developed countries, volatility assessments and much more. For the construction of their forecast models, the use of in-depth training is optimal, with a learning model built on the basis of EU and Forex data. The economic calendar is an indispensable assistant for the trader.

ON THIS TOPIC Telegram : @Economic Calendar Investing Forex https://t.me/economic_calendar_forex_invest This channel will wake you up 5 minutes before important events of high volatility, as well as inform you of current data for monitoring from the investing economic calendar

Data set

The data set is created in the form of an CSV, Excel spreadsheet (two files 2011-2013, 2014-2019), which can be found at boot time. You can see the source of the data on the site https://www.investing.com/economic-calendar/

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1. column - Event date
2. column - Event time (time New York)
3. column - Country of the event
4. column - The degree of volatility (possible fluctuations in currency, indices, etc.) caused by this event
5. column - Description of the event
6. column - Evaluation of the event according to the actual data, which came out better than the forecast, worse or correspond to it
7. column - Data format (%, K x103, M x106, T x109)
8. column - Actual event data
9. column - Event forecast data
10. column - Previous data on this event (with comments if there were any interim changes).

Inspiration

1. Use the historical EU in conjunction with the Forex data (exchange rates, indices, metals, oil, stocks) to forecast subsequent Forex data in order to minimize investment risks (combine fundamental market analysis and technical).
2. Historical events of the EU used as a forecast of the subsequent (for example, the calculation of the probability of an increase in the rate of the Fed).
3. Investigate the impact of combinations of EC events on the degree of market volatility at different time periods.
4. To trace the main trends in the economies of the leading countries (for example, a decrease in the demand for unemployment benefits).
5. Use the EU calendar together with the news background archive for this time interval for a more accurate forecast.

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Overview with Chart & Report: Consumer Confidence Index shows the level of consumer confidence in the euro area's economic activity. The indicator is issued monthly and based on household surveys concerning expectations for the

Overview with Chart & Report: Producer Price Index (PPI) y/y shows changes in manufactured goods prices in the specified month compared to the same month of the previous year. The indicator is calculated from the manufacturers'

Overview with Chart & Report: The current account provides important information on the EU's external relations, such as whether they have widened and whether there is a surplus or deficit. These figures are seasonally and

Overview with Chart & Report: Retail Sales y/y shows the change in the euro area retail sales for the given month compared to the same month of the previous year. The calculation is adjusted for inflation. The index is often

Overview with Chart & Report: Industrial Confidence Indicator evaluates economic expectations of EU manufacturing sector enterprises. It is based on surveys of the industry representatives. Unlike the Business Climate Indicator

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Overview with Chart & Report: Trade Balance n.s.a. (not seasonally adjusted) shows the difference between export and import of goods and services in the euro area in monetary terms. The calculation is not seasonally adjusted. A

Overview with Chart & Report: Services Sentiment Indicator reflects business sentiments in the service sector. The indicator is calculated monthly based on the survey of companies in the sector about the current and expected

Overview with Chart & Report: Retail Sales m/m reflect a change in the euro area retail sails in the reported month compared to the previous one. The calculation is adjusted for inflation. The index is often called the consumer

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