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--- |
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license: mit |
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language: |
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- en |
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task_categories: |
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- time-series-forecasting |
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- tabular-classification |
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- tabular-regression |
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tags: |
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- forex |
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- economic-calendar |
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- financial-data |
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- macro-economics |
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- trading-strategy |
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- time-series |
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- market-events |
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- selenium |
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- pandas |
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- scraper |
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pretty_name: Forex Factory Economic Calendar (2007–2025) |
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size_categories: |
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- 10K<n<100K |
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--- |
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# 📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07) |
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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**. |
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Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context. |
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--- |
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## 📦 Dataset Summary |
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- **Total timespan:** 2007-01-01 → 2025-04-07 |
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- **Format:** CSV (UTF-8) |
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- **Timezone:** Asia/Tehran |
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- **Detailed fields included** |
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--- |
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## 🧾 Columns |
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| Column | Description | |
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|-------------|-----------------------------------------------------------------------------| |
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| `DateTime` | Date and time of the event in ISO 8601 format | |
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| `Currency` | Currency affected by the event (e.g., USD, EUR, GBP) | |
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| `Impact` | Impact level: Low, Medium, or High Impact Expected | |
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| `Event` | Name of the economic event | |
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| `Actual` | Reported value of the indicator (if available) | |
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| `Forecast` | Forecasted value | |
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| `Previous` | Previously reported value | |
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| `Detail` | Rich description including source, frequency, and why it matters to traders | |
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--- |
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## 🔍 Example |
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```csv |
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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..." |
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``` |
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--- |
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## 💼 Use Cases |
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- Financial time series forecasting |
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- Event-driven backtesting in algorithmic trading |
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- Economic policy impact analysis |
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- Macro indicators modeling for global trends |
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- Educational purposes in finance and economics |
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--- |
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## ⚙️ How It Was Built |
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The data was collected using a custom Python scraper using: |
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- [Selenium](https://pypi.org/project/selenium/) (via `undetected-chromedriver`) |
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- [pandas](https://pandas.pydata.org/) for CSV export and manipulation |
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- Incremental scraping and detailed event parsing |
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- Timezone-aware timestamping |
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GitHub repository (scraper code): [🔗 Link to repository](https://github.com/ehsanrs2/forexfactory-scraper) |
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--- |
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## 🛡 Disclaimer |
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This dataset is intended for **educational and research purposes only**. |
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Data was collected from [Forex Factory](https://www.forexfactory.com/) using publicly accessible web content. |
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This project is **not affiliated, endorsed, or sponsored by Forex Factory** in any way. |
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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. |
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--- |
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## 📚 Citation |
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If you use this dataset in your work, please cite it as: |
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``` |
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@misc{forexcalendar2025, |
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title={Forex Factory Economic Calendar Dataset (2007–2025)}, |
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author={Ehsan}, |
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year={2025}, |
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howpublished={\url{https://huggingface.co/datasets/yourusername/forex-factory-calendar}}, |
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note={Accessed: YYYY-MM-DD} |
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} |
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``` |
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--- |
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## 🏷 Tags |
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`forex` `financial-data` `economic-calendar` `macro-economics` |
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`time-series` `trading-strategy` `pandas` `selenium` `market-events` |
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``` |
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