Ehsanrs2/Forex_Factory_Calendar

Forex Factory Historical Economic Calendar Dataset (2007–2025)

A historical Forex Factory economic calendar dataset containing scheduled macroeconomic events, currencies, impact classifications, published actual/forecast/previous values, and event descriptions in a downloadable CSV.

Snapshot coverage: 2007-01-01 through 2025-04-07. This is a historical snapshot, not a live or continuously updated economic calendar API.

Browse the CSV · Python scraper on GitHub · Forex Factory calendar

Dataset at a glance

Attribute	Value
Data	Forex Factory economic calendar events
Published file	forex_factory_cache.csv
Coverage	2007-01-01 to 2025-04-07
File format	UTF-8 CSV
Timestamp format	ISO 8601, with UTC offset
Display timezone used in the original collection	Asia/Tehran
Records	Approximately 83.4k rows, according to the Hugging Face viewer when checked in October 2026
Data split	train (this is a dataset-viewer split name, not a benchmark training/validation split)

Dates are part of the recorded data, not a promise that every calendar event in the period is present.

Columns

Column	Description
DateTime	Reported date and time of the economic event, with an offset
Currency	Affected currency (such as USD, EUR, GBP, JPY)
Impact	Source impact classification; may include Non-Economic as well as low/medium/high
Event	Calendar event title
Actual	Reported actual indicator value, when available
Forecast	Expected indicator value, when available
Previous	Previously reported indicator value, when available
Detail	Available event description and context from the source

Numerical-looking values may contain percentages, suffixes, or other notation. Treat them as strings until you apply indicator-specific parsing.

Quick start with pandas

import pandas as pd

csv_url = (
    "https://huggingface.co/datasets/"
    "Ehsanrs2/Forex_Factory_Calendar/resolve/main/forex_factory_cache.csv"
)
df = pd.read_csv(csv_url, dtype=str)
df["DateTime"] = pd.to_datetime(df["DateTime"], utc=True, errors="coerce")
print(df[["DateTime", "Currency", "Impact", "Event"]].head())

You can also download the CSV from the Files tab.

Potential use cases

• Exploring historical macroeconomic event schedules
• Event-study research and economic calendar visualization
• Building features for financial time-series experiments
• Investigating event-driven backtesting workflows
• Teaching data cleaning and temporal data analysis

Backtesting caution: Do not assume this snapshot records exactly what traders knew at each historical time. Calendar fields, reported values, release timing, and text may have been updated after the event. Any point-in-time strategy needs independent checks for look-ahead bias.

Collection and provenance

The historical dataset was originally published in April 2025. Its existing documentation describes a Selenium-based collection process with pandas processing and timezone-aware timestamps.

A separately maintained Python scraper repository now documents an HTML-first, incremental CSV cache workflow with saved-HTML and available export-file providers. The present codebase and this published 2007–2025 snapshot are not guaranteed to use the same historical collection pipeline or schema. Running the repository's scraper does not automatically update this Hugging Face dataset.

The original content source is Forex Factory. This dataset is community-maintained and is not affiliated with or endorsed by Forex Factory.

Limitations and responsible use

• This is a snapshot ending 2025-04-07, not a live feed.
• Actual, forecast, previous, and detailed text fields can be missing.
• Event classifications and economic releases may differ across time and data revisions.
• Historical timestamps and timezones should be checked carefully, especially before temporal joins.
• No completeness or numerical-correctness guarantee is provided for financial or trading decisions.
• Verify source rights and Forex Factory notices before reuse or redistribution, particularly for commercial purposes.

License metadata: The existing Hub dataset card labels this repository mit, which has been preserved in this proposed edit rather than changed without the publisher's authorization. That label does not establish rights over third-party source content; the underlying rights and redistribution terms require independent verification. The companion scraper's GPL-3.0 code license applies to the scraper code, not automatically to the source data.

Citation

If you use this historical snapshot in research, a suggested citation is:

@misc{ehsanrs2_forex_factory_calendar_2025,
  author       = {Ehsanrs2},
  title        = {Forex Factory Historical Economic Calendar Dataset (2007--2025)},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar},
  note         = {Historical snapshot ending 2025-04-07}
}

For code-specific attribution, link to the source repository as well.