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Datasets:
Ehsanrs2
/
Forex_Factory_Calendar

Tasks:
Time Series Forecasting
Tabular Classification
Tabular Regression
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
forex
economic-calendar
financial-data
macro-economics
trading-strategy
time-series
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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metadata
license: mit
language:
  - en
task_categories:
  - time-series-forecasting
  - tabular-classification
  - tabular-regression
tags:
  - forex
  - economic-calendar
  - financial-data
  - macro-economics
  - trading-strategy
  - time-series
  - market-events
  - selenium
  - pandas
  - scraper
pretty_name: Forex Factory Economic Calendar (2007–2025)
size_categories:
  - 10K<n<100K

Perfect! Since you now clarified that the dataset includes detailed information and the date range is up to April 7, 2025, I’ll update the Kaggle description accordingly to match the structure and showcase the content accurately.

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

This dataset contains over 18 years of economic calendar events scraped from Forex Factory, from January 1, 2007 through April 7, 2025. It includes detailed information for each event, making it valuable for economic research, trading strategy development, and financial modeling.

🔍 What is Forex Factory?

Forex Factory is one of the most widely used economic calendars in the world. It tracks macroeconomic news events such as central bank interest rate decisions, employment reports, GDP releases, inflation data, and more — all of which can influence financial markets, especially currency exchange rates.

🧾 Dataset Overview

Each row in the dataset represents a single event with both summary and detailed descriptions.

Columns:

  • DateTime – ISO 8601 timestamp of the event (timezone: Asia/Tehran)
  • Currency – Affected currency (e.g., USD, EUR, GBP)
  • Impact – Expected impact level (e.g., Low, Medium, High Impact Expected)
  • Event – Title of the economic event
  • Actual – Reported value (when available)
  • Forecast – Forecasted value (if provided)
  • Previous – Previous reported value
  • Detail – Rich text description with:
    • Source & release schedule
    • Indicator explanation
    • Market impact notes
    • Survey methodology
    • Acronym expansions

📦 Sample Entry 

DateTime: 2007-01-01T04:30:00+03:30  
Currency: CNY  
Impact: High Impact Expected  
Event: Manufacturing PMI  
Actual: 54.8  
Forecast:  
Previous: 55.3  
Detail: Source: CFLP ... Above 50.0 indicates industry expansion ...

⚙️ How Was It Collected?

Collected using a custom Python web scraper built with:

  • Selenium (via undetected-chromedriver) for dynamic web content handling
  • pandas for data manipulation and export
  • Full support for:
    • Incremental scraping
    • Custom date ranges
    • Timezone conversion
    • Optional detailed scraping

🛠 You can find the full code on GitHub to extend or reproduce the dataset.

💡 Use Cases

  • 🧠 AI/ML for macroeconomic forecasting
  • 💹 Backtesting event-driven trading strategies
  • 📰 News sentiment correlation studies
  • 📊 Global economic indicator research
  • 🧾 Building financial knowledge graphs

📁 File Format

  • CSV file with UTF-8 encoding
  • Dates are in ISO 8601 format
  • Cleaned and ready for analysis

🛡 Disclaimer

This dataset is intended for educational and research purposes only. Please respect Forex Factory’s Terms of Use. This project is not affiliated with Forex Factory.