Update README.md

README.md

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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
 ---
+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.
+
+---
+
+## 🔍 What is Forex Factory?
+
+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.
+
+---
+
+## 🧾 Dataset Overview
+
+Each row in the dataset represents a single event with both summary and detailed descriptions.
+
+**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
+
+---
+
+## 📦 Sample Entry
+
+```
+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 ...
+```
+
+---
+
+## ⚙️ How Was It Collected?
+
+Collected using a **custom Python web scraper** built with:
+
+- **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
+
+> 🛠 You can find the full code [on GitHub](https://github.com/yourusername/forexfactory_scraper) to extend or reproduce the dataset.
+
+---
+
+## 💡 Use Cases
+
+- 🧠 AI/ML for macroeconomic forecasting  
+- 💹 Backtesting event-driven trading strategies  
+- 📰 News sentiment correlation studies  
+- 📊 Global economic indicator research  
+- 🧾 Building financial knowledge graphs  
+
+---
+
+## 📁 File Format
+
+- CSV file with UTF-8 encoding  
+- Dates are in ISO 8601 format  
+- Cleaned and ready for analysis
+
+---
+
+## 🛡 Disclaimer
+
+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.