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

Lqty Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.lqty_usd

33.57 kB
540 rows
7 columns

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

Lsk Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.lsk_usd

99.57 kB
1,785 rows
7 columns

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

Lto Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.lto_usd

77.39 kB
1,331 rows
7 columns

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

Luna2 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.luna2_usd

11.83 kB
124 rows
7 columns

CREATE TABLE luna2_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Lusd Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.lusd_usd

30.33 kB
513 rows
7 columns

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

Lyxe Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.lyxe_usd

49.94 kB
857 rows
7 columns

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

Magic2 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.magic2_usd

21.91 kB
315 rows
7 columns

CREATE TABLE magic2_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Maid Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.maid_usd

99.19 kB
1,785 rows
7 columns

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

Mask1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mask1_usd

36.08 kB
582 rows
7 columns

CREATE TABLE mask1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE
);

Matic Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.matic_usd

74.5 kB
1,250 rows
7 columns

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

Mbl Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mbl_usd

72.21 kB
1,196 rows
7 columns

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

Mbox Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mbox_usd

33.91 kB
539 rows
7 columns

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

Mcash Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mcash_usd

57.68 kB
1,149 rows
7 columns

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

Mct3 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mct3_usd

19.27 kB
266 rows
7 columns

CREATE TABLE mct3_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Mc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mc_usd

22.54 kB
329 rows
7 columns

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

Mdx1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mdx1_usd

37.97 kB
610 rows
7 columns

CREATE TABLE mdx1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Med Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.med_usd

99.98 kB
1,742 rows
7 columns

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

Meta Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.meta_usd

85.93 kB
1,451 rows
7 columns

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

Metis Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.metis_usd

31.49 kB
504 rows
7 columns

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

Mft Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mft_usd

91.72 kB
1,547 rows
7 columns

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

Mln Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mln_usd

98.86 kB
1,785 rows
7 columns

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

Mngo Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mngo_usd

26.99 kB
413 rows
7 columns

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

Mob Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mob_usd

39.96 kB
661 rows
7 columns

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

Moc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.moc_usd

88.22 kB
1,541 rows
7 columns

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

Mona Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mona_usd

98.94 kB
1,785 rows
7 columns

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