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Investing.com INR Time Series Data
Finance & Banking Analytics
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About
The data explains the daily foreign exchange rates for the Indian Rupee (INR) measured against 35 distinct global currencies. This extensive time-series collection details the amount in INR equivalent to one unit of the foreign currency (e.g., if the value is 75 in the USD column, 75 INR equals 1 USD). The information was gathered by scraping data from the Investing.com website, offering a valuable historical resource for financial modeling and time series analysis.
Columns
The dataset contains a total of 36 columns, representing the daily exchange rates for the Indian Rupee against various international currencies. The initial 10 key columns include:
- Date: The specific calendar date corresponding to the recorded exchange rate (Data Type: DateTime).
- USD: United States Dollar rate (INR per 1 USD). The mean value is 56.8.
- AUS: Australian Dollar rate (INR per 1 AUS). The mean value is 43.3.
- CAN: Canadian Dollar rate (INR per 1 CAN). The mean value is 46.1.
- SWF: Swiss Franc rate (INR per 1 SWF). The mean value is 54.5.
- DKK: Danish Krone rate (INR per 1 DKK). The mean value is 9.02.
- EUR: Euro rate (INR per 1 EUR). The mean value is 67.7.
- GBP: British Pound rate (INR per 1 GBP). The mean value is 85.2.
- HKD: Hong Kong Dollar rate (INR per 1 HKD). The mean value is 7.3.
- IDR: Indonesian Rupiah rate (INR per 1 IDR). The mean value is 0.04.
Distribution
The data is delivered in multiple files, typically in formats suitable for processing, such as CSV. Historical data is provided in two main sets: one covering the period from 2000 to 2023, and a refined set covering 2006 to 2023. The primary file set (2000–2023) contains 6,258 valid daily records. Although initial data scraping faced challenges related to file size and missing values, the final uploaded files provide accurate daily exchange rate measurements across the relevant periods. The expected update frequency for this dataset is never.
Usage
This collection is specifically designed for high-level financial and economic applications, including:
- Deep Learning: Training models to predict short-term and long-term foreign exchange rate movements.
- Time Series Analysis: Forecasting volatility and identifying macroeconomic trends related to the Indian Rupee.
- Exploratory Data Analysis (EDA): Studying historical patterns and market reactions within the Indian FX market.
- Financial Modelling: Backtesting algorithmic trading strategies and evaluating risk exposure over extended historical periods.
Coverage
The dataset spans a period from the start of January 2000 through the end of December 2023. It covers the daily exchange rates of approximately 35 different international currencies, providing a broad view of the Indian Rupee's value against major global economic units over nearly 24 years.
License
CC0: Public Domain
Who Can Use It
- Academic Researchers: Those studying international finance, macroeconomics, and historical currency market behavior.
- Financial Analysts: Professionals needing robust historical data to inform market strategies and reporting.
- Quantitative Developers: Individuals requiring long-term, high-quality time series data for backtesting and algorithm development.
- Data Scientists: Practitioners focused on building predictive analytics models for global markets.
Dataset Name Suggestions
- Daily INR Foreign Exchange Rates (2000–2023)
- Historic Global Currency Rates vs Indian Rupee
- Investing.com INR Time Series Data
- Daily Forex Rates Against the Indian Rupee
Attributes
Original Data Source: Investing.com INR Time Series Data
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