Name: [Time Series] Crypto Currency Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

[Time Series] Crypto Currency Dataset

A cryptocurrency, crypto-currency, or crypto is a digital currency designed to work as a medium of exchange through a computer network that is not reliant on any central authority, such as a government or bank, to uphold or maintain it. It is a decentralized system for verifying that the parties to a transaction have the money they claim to have, eliminating the need for traditional intermediaries, such as banks, when funds are being transferred between two entities.

Cryptocurrency does not exist in physical form (like paper money) and is typically not issued by a central authority. Cryptocurrencies typically use decentralized control as opposed to a central bank digital currency (CBDC). When a cryptocurrency is minted or created prior to issuance or issued by a single issuer, it is generally considered centralized. When implemented with decentralized control, each cryptocurrency works through distributed ledger technology, typically a blockchain, that serves as a public financial transaction database. Traditional asset classes like currencies, commodities, and stocks, as well as macroeconomic factors, have modest exposures to cryptocurrency returns.

The first decentralized cryptocurrency was Bitcoin, which was first released as open-source software in 2009. As of March 2022, there were more than 9,000 other cryptocurrencies in the marketplace, of which more than 70 had a market capitalization exceeding $1 billion.

The following dataset consists of the top 425 cryptocurrencies. For younger currencies, the timeframe is considered from the origin of the currency. The dataset consists of 8 features.

Feature Name	Data Type	Description
timestamp	Date String
adjclose	Float	Adjusted Close Price of the currency for the day
close	Float	Close Price of the currency for the day
low	Float	Lowest Price of the currency for the day
open	Float	Opening Price of the currency for the day
high	Float	Highest Price of the currency for the day
volume	Float	Volume of the currency

The name of the file has been set according to its crypto symbol.

Acknowledgement

I would like to thank https://finance.yahoo.com/ for providing such a great platform.
Cover photo by Kanchanara from Unsplash

Tables

Rsr Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rsr_usd

75.72 kB
1,224 rows
7 columns

CREATE TABLE rsr_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Rss3 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rss3_usd

17.23 kB
229 rows
7 columns

CREATE TABLE rss3_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE
);

Rsv Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rsv_usd

41.38 kB
763 rows
7 columns

CREATE TABLE rsv_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

Safe1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.safe1_usd

67.33 kB
1,231 rows
7 columns

CREATE TABLE safe1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "close" DOUBLE
);

Saitama1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.saitama1_usd

12.05 kB
113 rows
7 columns

CREATE TABLE saitama1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Samo Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.samo_usd

33.88 kB
505 rows
7 columns

CREATE TABLE samo_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Santos Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.santos_usd

21.12 kB
302 rows
7 columns

CREATE TABLE santos_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE
);

Sbd Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sbd_usd

98.34 kB
1,785 rows
7 columns

CREATE TABLE sbd_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Scrt Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.scrt_usd

43.61 kB
729 rows
7 columns

CREATE TABLE scrt_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Sc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sc_usd

105.88 kB
1,785 rows
7 columns

CREATE TABLE sc_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Sero Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sero_usd

68.03 kB
1,168 rows
7 columns

CREATE TABLE sero_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Sfp Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sfp_usd

36.7 kB
598 rows
7 columns

CREATE TABLE sfp_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Sfund Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sfund_usd

34.29 kB
549 rows
7 columns

CREATE TABLE sfund_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Shib Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.shib_usd

21.6 kB
789 rows
7 columns

CREATE TABLE shib_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT
);

Skl Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.skl_usd

41.18 kB
666 rows
7 columns

CREATE TABLE skl_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Slp Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.slp_usd

50.86 kB
813 rows
7 columns

CREATE TABLE slp_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Snl Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.snl_usd

70.66 kB
1,220 rows
7 columns

CREATE TABLE snl_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

Snt Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.snt_usd

104.45 kB
1,785 rows
7 columns

CREATE TABLE snt_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Sofi Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sofi_usd

19.92 kB
275 rows
7 columns

CREATE TABLE sofi_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Solo Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.solo_usd

54.23 kB
937 rows
7 columns

CREATE TABLE solo_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Sol Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sol_usd

53.17 kB
902 rows
7 columns

CREATE TABLE sol_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Spell Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.spell_usd

29.34 kB
408 rows
7 columns

CREATE TABLE spell_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Sps Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sps_usd

28.09 kB
430 rows
7 columns

CREATE TABLE sps_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Srm Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.srm_usd

46.46 kB
779 rows
7 columns

CREATE TABLE srm_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

Ssv Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.ssv_usd

22.9 kB
342 rows
7 columns

CREATE TABLE ssv_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);