📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)

This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.

  📦 Dataset Summary

Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar.

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  Economic Calendar Events Dataset





  Data Source

This dataset is generated by merging multiple economic calendar JSON files. The original data comes from various public economic calendar sources. Each JSON file contains several economic events, covering holidays, macroeconomic indicators, and important announcements from major countries and regions worldwide.

  Data Content

Each row represents a single economic event, with fields including event ID, title… See the full description on the dataset page: https://huggingface.co/datasets/huggingXG/forex_calendar.

Access LSEG's Economic database, featuring global data coverage, consumer confidence data, and macro data indicators.

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

Quarterly Spanish National Accounts. Base 2000: Gross Internal Product. Volume chain-linked reference year 2000 .Adjusted data after seasonal and calendar effects. Quarterly. National.

About Dataset Edit This dataset provides a comprehensive view of key macroeconomic indicators across various entities (countries or regions) over time. It includes annual data for the following variables: Entity: The name of the country or region for which the data is recorded. Code: A standardized three-letter country or region code, facilitating easier identification and merging with other datasets. Year: The calendar year for which the economic indicators are reported. GDP per capita:… See the full description on the dataset page: https://huggingface.co/datasets/tripathyShaswata/GDP-Per-Capita_Gov-Expenditure_Trade.

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

The Gross Domestic Product (GDP) in Canada expanded 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Canada GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides a comprehensive view of key macroeconomic indicators across various entities (countries or regions) over time. It includes annual data for the following variables:

Entity: The name of the country or region for which the data is recorded. Code: A standardized three-letter country or region code, facilitating easier identification and merging with other datasets. Year: The calendar year for which the economic indicators are reported. GDP per capita: The gross domestic product (GDP) divided by the midyear population. It represents the average economic output per person and is a common measure of living standards and economic development. Value of global merchandise exports as a share of GDP: This indicates the proportion of a country's total economic output that is represented by the value of its exported goods. It highlights the importance of international trade in the economy. Government expenditure (% of GDP): The total spending by the government as a percentage of the country's GDP. This reflects the size and scope of government involvement in the economy. Trade as a Share of GDP: The sum of a country's total exports and imports of goods and services, expressed as a percentage of its GDP. This metric indicates the overall openness of an economy to international trade. ****Inflation, consumer prices (annual %)****: The percentage change in the average prices of goods and services typically purchased by households over a one-year period. It measures the rate at which the cost of living is changing.