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

Qrdo Usd

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

Qtum Usd

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

Quack Usd

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

Raca Usd

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

Rad Usd

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

Ramp Usd

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

Ray Usd

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

Rbn Usd

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

Rbtc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rbtc_usd
  • 77.14 kB
  • 1,394 rows
  • 7 columns
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CREATE TABLE rbtc_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE
);

Reef Usd

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

Rei1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rei1_usd
  • 13.73 kB
  • 154 rows
  • 7 columns
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CREATE TABLE rei1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "close" DOUBLE
);

Renbtc Usd

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

Ren Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.ren_usd
  • 96.74 kB
  • 1,681 rows
  • 7 columns
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CREATE TABLE ren_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Rep Usd

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

Req Usd

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

Rev1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rev1_usd
  • 99.46 kB
  • 1,785 rows
  • 7 columns
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CREATE TABLE rev1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Rfr Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rfr_usd
  • 96 kB
  • 1,673 rows
  • 7 columns
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CREATE TABLE rfr_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Rgt Usd

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

Rif Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rif_usd
  • 77.42 kB
  • 1,352 rows
  • 7 columns
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CREATE TABLE rif_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Rkn Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rkn_usd
  • 57.76 kB
  • 1,009 rows
  • 7 columns
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CREATE TABLE rkn_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE
);

Rlc Usd

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

Rly Usd

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

Rndr Usd

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

Rose Usd

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

Rpl Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.rpl_usd
  • 78.35 kB
  • 1,534 rows
  • 7 columns
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CREATE TABLE rpl_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE
);

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