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---
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
---
# 📅 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](https://www.forexfactory.com/calendar), 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:** Asia/Tehran
- **Detailed fields included**
---
## 🧾 Columns
| Column | Description |
|-------------|-----------------------------------------------------------------------------|
| `DateTime` | Date and time of the event in ISO 8601 format |
| `Currency` | Currency affected by the event (e.g., USD, EUR, GBP) |
| `Impact` | Impact level: Low, Medium, or High Impact Expected |
| `Event` | Name of the economic event |
| `Actual` | Reported value of the indicator (if available) |
| `Forecast` | Forecasted value |
| `Previous` | Previously reported value |
| `Detail` | Rich description including source, frequency, and why it matters to traders |
---
## 🔍 Example
```csv
2007-01-01T04:30:00+03:30,CNY,High Impact Expected,Manufacturing PMI,54.8,,55.3,"Source: CFLP (latest release) | Measures: Level of a diffusion index based on surveyed purchasing managers..."
```
---
## 💼 Use Cases
- Financial time series forecasting
- Event-driven backtesting in algorithmic trading
- Economic policy impact analysis
- Macro indicators modeling for global trends
- Educational purposes in finance and economics
---
## ⚙️ How It Was Built
The data was collected using a custom Python scraper using:
- [Selenium](https://pypi.org/project/selenium/) (via `undetected-chromedriver`)
- [pandas](https://pandas.pydata.org/) for CSV export and manipulation
- Incremental scraping and detailed event parsing
- Timezone-aware timestamping
GitHub repository (scraper code): [🔗 Link to repository](https://github.com/ehsanrs2/forexfactory-scraper)
---
## 🛡 Disclaimer
This dataset is intended for **educational and research purposes only**.
Data was collected from [Forex Factory](https://www.forexfactory.com/) using publicly accessible web content.
This project is **not affiliated, endorsed, or sponsored by Forex Factory** in any way.
Please respect [Forex Factory’s Terms of Use](https://www.forexfactory.com/notices). Do not use this dataset for commercial purposes or redistribution without checking the original source's policies.
---
## 📚 Citation
If you use this dataset in your work, please cite it as:
```
@misc{forexcalendar2025,
title={Forex Factory Economic Calendar Dataset (2007–2025)},
author={Ehsan},
year={2025},
howpublished={\url{https://huggingface.co/datasets/yourusername/forex-factory-calendar}},
note={Accessed: YYYY-MM-DD}
}
```
---
## 🏷 Tags
`forex` `financial-data` `economic-calendar` `macro-economics`
`time-series` `trading-strategy` `pandas` `selenium` `market-events`
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