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DOGE Crypto Daily Market Data
Stock & Market Data
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About
Provides daily historical market data for the Dogecoin cryptocurrency, spanning from June 2017 through July 2021. This collection allows for detailed analysis of the asset's volatility, tracking its price fluctuations, trading volume, and daily percentage change. It facilitates the study of how this cryptocurrency, which started as a joke, achieved significant market standing and became a top contender among other cryptocurrencies.
Columns
The dataset contains seven distinct columns detailing daily market activity:
- Date: The specific date for the recorded market metrics (DateTime format).
- Price: The daily closing price of Dogecoin.
- Open: The opening price recorded for that day.
- High: The highest price achieved during the trading day.
- Low: The lowest price recorded during the trading day.
- Vol. (Volume): The total trading volume for the day, with over a thousand unique values recorded.
- Change %: The daily percentage change in price, calculated against the previous day's closing price.
Distribution
The data is available as a single CSV file, Dogecoin Historical Data.csv, which is approximately 115.28 kB in size. It is structured with 7 columns and contains 1,490 daily records. All records are currently valid, with 100% of values accounted for and no reported missing data.
Usage
This data is ideally suited for time series analysis, enabling users to model cryptocurrency trends and predict future movements. It can be used to investigate market performance, calculate volatility metrics, or study the drivers behind the asset’s remarkable surge. It is a valuable resource for developing quantitative trading strategies or for academic exploration of financial market anomalies.
Coverage
The temporal scope spans from 3 June 2017 to 1 July 2021, providing historical data for four years. The data reflects daily activity and pricing sourced from global financial markets relevant to Dogecoin trading.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For backtesting trading models and risk assessment.
- Data Scientists: Applying time series forecasting and machine learning techniques to financial data.
- Students and Beginners: Learning foundational concepts in cryptocurrency markets and time series structure.
- Quants: Developing and optimising automated investment algorithms.
Dataset Name Suggestions
- Dogecoin Price History 2017–2021
- DOGE Crypto Daily Market Data
- Dogecoin Historical Market Performance
- Cryptocurrency Joke to Top 5: Dogecoin Data
Attributes
Original Data Source: DOGE Crypto Daily Market Data
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