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

Onus Usd

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

Op1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.op1_usd
  • 11.65 kB
  • 121 rows
  • 7 columns
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CREATE TABLE op1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Orbs Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.orbs_usd
  • 75.79 kB
  • 1,275 rows
  • 7 columns
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CREATE TABLE orbs_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Orc Usd

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

Orn Usd

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

Osmo Usd

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

Ousd Usd

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

Oxt Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.oxt_usd
  • 58.62 kB
  • 1,017 rows
  • 7 columns
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CREATE TABLE oxt_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

People Usd

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

Perp Usd

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

Pha Usd

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

Phb1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.phb1_usd
  • 22.1 kB
  • 328 rows
  • 7 columns
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CREATE TABLE phb1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "close" DOUBLE
);

Pla3 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.pla3_usd
  • 42.26 kB
  • 709 rows
  • 7 columns
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CREATE TABLE pla3_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "close" DOUBLE
);

Pltc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.pltc_usd
  • 69.62 kB
  • 1,317 rows
  • 7 columns
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CREATE TABLE pltc_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "open" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE
);

Pols Usd

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

Poly Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.poly_usd
  • 97.27 kB
  • 1,700 rows
  • 7 columns
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CREATE TABLE poly_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

Pond Usd

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

Porto Usd

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

Powr Usd

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

Prom Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.prom_usd
  • 67.29 kB
  • 1,170 rows
  • 7 columns
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CREATE TABLE prom_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Pro Usd

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

Pundix Usd

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

Pyr Usd

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

Qi1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.qi1_usd
  • 27.78 kB
  • 406 rows
  • 7 columns
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CREATE TABLE qi1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE
);

Qkc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.qkc_usd
  • 93.67 kB
  • 1,578 rows
  • 7 columns
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CREATE TABLE qkc_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

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