Euro-Based Daily Currency Data
Finance & Banking Analytics
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Explore a rich collection of daily records capturing the top 56 global currencies from 2015 to the present day. This meticulously maintained dataset provides valuable insights into currency trends, exchange rates, and market dynamics. It enables detailed analysis and research, supporting informed decisions in a rapidly evolving global financial landscape. All currency exchange rates are based on their value relative to the Euro (EUR).
Columns
This dataset contains 54 columns, with one date column and 53 columns representing different global currencies.
- date: The date of the exchange rate record, in YYYY-MM-DD format.
- ARS: Argentine Pesos
- AUD: Australian Dollar
- BHD: Bahraini Dinar
- BWP: Botswanan Pula
- BRL: Brazilian Real
- BND: Brunei Dollar
- BGN: Bulgarian Lev
- CAD: Canadian Dollar
- CLP: Chilean Peso
- CNY: Chinese Yuan
- COP: Colombian Peso
- HRK: Croatian Kuna (Note: This column has 27% missing values.)
- CZK: Czech Koruna
- DKK: Danish Krone
- HKD: Hong Kong Dollar
- HUF: Hungarian Forint
- ISK: Icelandic Króna
- INR: Indian Rupee
- IDR: Indonesian Rupiah
- IRR: Iranian Rial
- ILS: Israeli New Shekel
- JPY: Japanese Yen
- KZT: Kazakhstani Tenge
- KRW: South Korean Won
- KWD: Kuwaiti Dinar
- LYD: Libyan Dinar
- MYR: Malaysian Ringgit
- MUR: Mauritian Rupee
- MXN: Mexican Peso
- NPR: Nepalese Rupee
- NZD: New Zealand Dollar
- NOK: Norwegian Krone
- OMR: Omani Rial
- PKR: Pakistani Rupee
- PHP: Philippine Peso
- PLN: Polish Złoty
- QAR: Qatari Riyal
- RON: Romanian Leu
- RUB: Russian Ruble
- SAR: Saudi Riyal
- SGD: Singapore Dollar
- ZAR: South African Rand
- LKR: Sri Lankan Rupee
- SEK: Swedish Krona
- CHF: Swiss Franc
- TWD: New Taiwan Dollar
- THB: Thai Baht
- TTD: Trinidad and Tobago Dollar
- TRY: Turkish Lira
- AED: UAE Dirham
- GBP: British Pound
- USD: United States Dollar
- VES: Venezuelan Bolívar Soberano
Distribution
The dataset is provided in a single CSV file named
exchanges.csv
with a size of approximately 2.11 MB. It contains 3,897 records and 54 columns, updated daily.Usage
This dataset is ideal for a variety of financial and economic analyses. Key applications include:
- Time Series Analysis: Tracking currency fluctuations over time to identify trends and seasonality.
- Economic Research: Studying the impact of global events on currency markets.
- Exploratory Data Analysis (EDA): Gaining insights into the relationships and dynamics between different currencies.
- Financial Modelling: Developing predictive models for currency exchange rates.
- Market Analysis: Assessing the volatility and performance of global currencies for investment or business decisions.
Coverage
- Geographic: The dataset covers 56 global currencies from various countries worldwide.
- Time Range: Records span from 1 March 2015 to 19 August 2024, with daily updates to extend the range.
- Demographic: Not applicable.
License
CC0: Public Domain
Who Can Use It
- Economists: For macroeconomic research and analysis of international trade.
- Financial Analysts: To perform market analysis, risk assessment, and build investment strategies.
- Data Scientists: For creating time series forecasting models and conducting exploratory data analysis.
- Business Strategists: To make informed decisions regarding international pricing, supply chain, and market entry.
- Academic Researchers: For studies in international finance, economics, and business.
Dataset Name Suggestions
- Daily Global Currency Exchange Rates (EUR-based)
- Historical Forex Rates: 2015-Present
- Time Series of Global Exchange Rates
- Euro-Based Daily Currency Data
- Global Foreign Exchange Market Rates
Attributes
Original Data Source: Euro-Based Daily Currency Data