Name: Cryptocurrency Price & Market Data
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Cryptocurrency Price & Market Data

Real-Time Market Trends & Volatility

By [source]

About this dataset

This dataset provides valuable insights into the volatile cryptocurrency markets by tracking real-time market data of various cryptocurrencies. It collects important data points such as the name of the cryptocurrency, symbol, price, hourly and daily change trends, 24 hour volume traded and market capitalization that can be used for a variety of purposes. Research professionals in fields such as blockchain technology, finance and economics can leverage this dataset to gain a better understanding of the digital currency market to move forward with informed decisions and effective recommendations. This includes gaining deeper insight into market movements of cryptocurrencies therefore set up indicators for potential pricing trends forecasting financial developments or analyze changes in prices over time

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How to use the dataset

This dataset provides real-time market data of various cryptocurrencies. Using this dataset, you can gain valuable insights into the markets and trends related to different digital currencies. Whether you are a research data scientist, financial analyst, investor or other professional, this dataset can help inform your decisions and recommendations.

The following is a guide on how to use this dataset:

Look up the names of the coins and their symbols included in the dataset using the 'coin' and 'symbol' columns respectively. This will enable you to distinguish between coins with similar names (such as Bitcoin vs Bitcoin Cash).

Use the 'price' column to find out what price each coin is trading for at any given time.

Use 1h, 24h and 7d columns to compare prices over time periods longer than one hour (for example from 1 hour ago to now or 7 days ago until today). This will give you an indication of price volatility over time periods longer than one hour which can be used for forecasting market movement trends or as input in deep learning/neural networks models for predicting future price movements of various cryptocurrencies

24h_volume gives volume traded in last 24 hours which helps users understand market momentum vis-a-vis volume traded during that period for cryptocurrency trading & understanding liquidity situation in any given period .
5 . The ‘mkt_cap’ column gives information about market capitalisation that shows how big/valuable a coin is & tells if its worth buying or not via comparison of current value & all available units combined together based on supply & demand forces at work in CryptoCurrency eco system.

Research Ideas

Analyzing correlations between cryptocurrency market capitalization, prices, and 24 hour volumes to identify potential investment opportunities.

Comparing the performance of distinct cryptocurrencies against one another to determine the potential winners in today’s digital currency market.

Utilizing this dataset to build machine learning models that predict future cryptocurrency market trends based on historical data points such as 1h, 24h, 7d price changes and market capitalization levels over time

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: coin_gecko_2022-03-16.csv

Column name	Description
coin	Name of the cryptocurrency. (String)
symbol	Abbreviation of the cryptocurrency. (String)
price	Latest price of the cryptocurrency in USD. (Float)
1h	Percentage change in price of the cryptocurrency in the last 1 hour. (Float)
24h	Percentage change in price of the cryptocurrency in the last 24 hours. (Float)
7d	Percentage change in price of the cryptocurrency in the last 7 days. (Float)
24h_volume	Total 24 hour traded volume of the cryptocurrency. (Float)
mkt_cap	Overall market capitalization of the cryptocurrency. (Float)
date	Date of the data entry. (Date)

File: coin_gecko_2022-03-17.csv

Column name	Description
coin	Name of the cryptocurrency. (String)
symbol	Abbreviation of the cryptocurrency. (String)
price	Latest price of the cryptocurrency in USD. (Float)
1h	Percentage change in price of the cryptocurrency in the last 1 hour. (Float)
24h	Percentage change in price of the cryptocurrency in the last 24 hours. (Float)
7d	Percentage change in price of the cryptocurrency in the last 7 days. (Float)
24h_volume	Total 24 hour traded volume of the cryptocurrency. (Float)
mkt_cap	Overall market capitalization of the cryptocurrency. (Float)
date	Date of the data entry. (Date)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Coin Gecko 2022–03–16

@kaggle.thedevastator_cryptocurrency_price_market_data.coin_gecko_2022_03_16

29.99 KB
500 rows
9 columns


CREATE TABLE coin_gecko_2022_03_16 (
  "coin" VARCHAR,
  "symbol" VARCHAR,
  "price" DOUBLE,
  "n_1h" DOUBLE,
  "n_24h" DOUBLE,
  "n_7d" DOUBLE,
  "n_24h_volume" DOUBLE,
  "mkt_cap" DOUBLE,
  "date" TIMESTAMP
);

Coin Gecko 2022–03–17

@kaggle.thedevastator_cryptocurrency_price_market_data.coin_gecko_2022_03_17

29.73 KB
500 rows
9 columns


CREATE TABLE coin_gecko_2022_03_17 (
  "coin" VARCHAR,
  "symbol" VARCHAR,
  "price" DOUBLE,
  "n_1h" DOUBLE,
  "n_24h" DOUBLE,
  "n_7d" DOUBLE,
  "n_24h_volume" DOUBLE,
  "mkt_cap" DOUBLE,
  "date" TIMESTAMP
);