Update README.md

README.md

@@ -20,94 +20,102 @@ tags:
 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](https://www.forexfactory.com/calendar), 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.
+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.
 
 ---
 
-## 🔍 What is Forex Factory?
+## 📦 Dataset Summary
 
-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.
+- **Total timespan:** 2007-01-01 → 2025-04-07  
+- **Format:** CSV (UTF-8)  
+- **Timezone:** Asia/Tehran  
+- **Detailed fields included**
 
 ---
 
-## 🧾 Dataset Overview
+## 🧾 Columns
 
-Each row in the dataset represents a single event with both summary and detailed descriptions.
+| 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 |
 
-**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
+## 🔍 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..."
+```
 
 ---
 
-## 📦 Sample Entry
+## 💼 Use Cases
 
-```
-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 ...
-```
+- 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 Was It Collected?
+## ⚙️ How It Was Built
 
-Collected using a **custom Python web scraper** built with:
+The data was collected using a custom Python scraper using:
 
-- **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
+- [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
 
-> 🛠 You can find the full code [on GitHub](https://github.com/ehsanrs2/forexfactory-scraper) to extend or reproduce the dataset.
+GitHub repository (scraper code): [🔗 Link to repository](https://github.com/ehsanrs2/forexfactory-scraper)
 
 ---
 
-## 💡 Use Cases
+## 🛡 Disclaimer
+
+This dataset is intended for **educational and research purposes only**.
 
-- 🧠 AI/ML for macroeconomic forecasting  
-- 💹 Backtesting event-driven trading strategies  
-- 📰 News sentiment correlation studies  
-- 📊 Global economic indicator research  
-- 🧾 Building financial knowledge graphs  
+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.
 
 ---
 
-## 📁 File Format
+## 📚 Citation
 
-- CSV file with UTF-8 encoding  
-- Dates are in ISO 8601 format  
-- Cleaned and ready for analysis
+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}
+}
+```
 
 ---
 
-## 🛡 Disclaimer
+## 🏷 Tags
+
+`forex` `financial-data` `economic-calendar` `macro-economics`  
+`time-series` `trading-strategy` `pandas` `selenium` `market-events`
+
+```
+
 
-This dataset is intended for **educational and research purposes** only. Please respect [Forex Factory’s Terms of Use](https://www.forexfactory.com/disclaimer). This project is not affiliated with Forex Factory.