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

Movr Usd

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

Mpl Usd

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

Mtl Usd

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

Musd Usd

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

Mvl Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mvl_usd
  • 85.09 kB
  • 1,525 rows
  • 7 columns
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CREATE TABLE mvl_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Mxc Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mxc_usd
  • 83.6 kB
  • 1,392 rows
  • 7 columns
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CREATE TABLE mxc_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "low" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE,
  "volume" BIGINT
);

Mx Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.mx_usd
  • 63.94 kB
  • 1,101 rows
  • 7 columns
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CREATE TABLE mx_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "high" DOUBLE,
  "volume" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

N 1eco Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.n_1eco_usd
  • 18.87 kB
  • 273 rows
  • 7 columns
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CREATE TABLE n_1eco_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "close" DOUBLE
);

N 1inch Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.n_1inch_usd
  • 39.25 kB
  • 643 rows
  • 7 columns
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CREATE TABLE n_1inch_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "close" DOUBLE
);

Nebl Usd

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

Nest Usd

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

Nft1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.nft1_usd
  • 13.8 kB
  • 496 rows
  • 7 columns
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CREATE TABLE nft1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "close" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE
);

Nkn Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.nkn_usd
  • 92.06 kB
  • 1,585 rows
  • 7 columns
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CREATE TABLE nkn_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "high" DOUBLE,
  "open" DOUBLE
);

Nmr Usd

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

Noia Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.noia_usd
  • 68.61 kB
  • 1,156 rows
  • 7 columns
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CREATE TABLE noia_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "low" DOUBLE,
  "close" DOUBLE
);

Nu Usd

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

Nxm Usd

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

Oax Usd

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

Ocean Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.ocean_usd
  • 72.56 kB
  • 1,242 rows
  • 7 columns
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CREATE TABLE ocean_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "high" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Ogn Usd

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

Omg Usd

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

One1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.one1_usd
  • 73.63 kB
  • 1,216 rows
  • 7 columns
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CREATE TABLE one1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "high" DOUBLE,
  "open" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Ong1 Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.ong1_usd
  • 85.43 kB
  • 1,498 rows
  • 7 columns
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CREATE TABLE ong1_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "volume" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

Onit Usd

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

Ont Usd

@kaggle.tr1gg3rtrash_time_series_top_100_crypto_currency_dataset.ont_usd
  • 93.77 kB
  • 1,666 rows
  • 7 columns
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CREATE TABLE ont_usd (
  "timestamp" TIMESTAMP,
  "adjclose" DOUBLE,
  "volume" BIGINT,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE
);

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