| | --- |
| | 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` |
| |
|
| | ``` |
| | |
| | |
| | |
