Baselight

[Time Series] Crypto Currency Dataset

Time series data for top 425 cryptocurrencies of the world.

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset

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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

Ssx Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.ssx_usd
  • 54.61 kB
  • 861 rows
  • 7 columns
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CREATE TABLE ssx_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE
);

Starl Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.starl_usd
  • 15.76 kB
  • 446 rows
  • 7 columns
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CREATE TABLE starl_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Steem Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.steem_usd
  • 99.72 kB
  • 1,785 rows
  • 7 columns
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CREATE TABLE steem_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Steth Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.steth_usd
  • 38.55 kB
  • 645 rows
  • 7 columns
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CREATE TABLE steth_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Stg1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.stg1_usd
  • 15.49 kB
  • 195 rows
  • 7 columns
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CREATE TABLE stg1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Stmx Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.stmx_usd
  • 102.24 kB
  • 1,744 rows
  • 7 columns
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CREATE TABLE stmx_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Storj Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.storj_usd
  • 100.16 kB
  • 1,785 rows
  • 7 columns
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CREATE TABLE storj_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE
);

Stpt Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.stpt_usd
  • 72.1 kB
  • 1,205 rows
  • 7 columns
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CREATE TABLE stpt_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Strax Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.strax_usd
  • 99.27 kB
  • 1,785 rows
  • 7 columns
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CREATE TABLE strax_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE
);

Strk Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.strk_usd
  • 33.72 kB
  • 546 rows
  • 7 columns
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CREATE TABLE strk_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Strm1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.strm1_usd
  • 13.49 kB
  • 146 rows
  • 7 columns
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CREATE TABLE strm1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE
);

Sun Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sun_usd
  • 31.79 kB
  • 465 rows
  • 7 columns
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CREATE TABLE sun_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT
);

Super1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.super1_usd
  • 36.3 kB
  • 584 rows
  • 7 columns
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CREATE TABLE super1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT
);

Sure Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sure_usd
  • 60.52 kB
  • 996 rows
  • 7 columns
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CREATE TABLE sure_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE
);

Susd Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.susd_usd
  • 80.86 kB
  • 1,539 rows
  • 7 columns
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CREATE TABLE susd_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT
);

Sushi Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sushi_usd
  • 45.75 kB
  • 762 rows
  • 7 columns
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CREATE TABLE sushi_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

Sweat Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sweat_usd
  • 6.32 kB
  • 17 rows
  • 7 columns
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CREATE TABLE sweat_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Sxp Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sxp_usd
  • 65.75 kB
  • 1,130 rows
  • 7 columns
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CREATE TABLE sxp_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Syn1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.syn1_usd
  • 24.41 kB
  • 368 rows
  • 7 columns
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CREATE TABLE syn1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE
);

Sys Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.sys_usd
  • 102.06 kB
  • 1,785 rows
  • 7 columns
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CREATE TABLE sys_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Tel Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.tel_usd
  • 92.84 kB
  • 1,718 rows
  • 7 columns
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CREATE TABLE tel_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE
);

Tfuel Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.tfuel_usd
  • 77.49 kB
  • 1,281 rows
  • 7 columns
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CREATE TABLE tfuel_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Time Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.time_usd
  • 98.79 kB
  • 1,785 rows
  • 7 columns
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CREATE TABLE time_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Titan Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.titan_usd
  • 43.44 kB
  • 731 rows
  • 7 columns
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CREATE TABLE titan_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Tlm Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.tlm_usd
  • 34.92 kB
  • 540 rows
  • 7 columns
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CREATE TABLE tlm_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

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