Dataset: Cryprocurrency Prices For The Year

About this Dataset

Cryprocurrency Prices For The Year

What in dataset?

Here I have collected data on the 30 most important cryptocurrencies for the year.

For what I share this data?

For the analysis of time sequences. You can do it with ARIMA, RNN using deep learning and other advanced techniques. In addition, on time data, you can try to override techniques from other areas of machine learning. Cryptocurrencies can be clustered or build portfolio strategies in the long term.

Acknowledgements

Thanks for yahoo finance for free acces to prices.

Inspiration

I hope my dataset will let you exlore more about data science. I look forward to notebooks and comments from you.

Tables

Ada Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.ada_usd

27.31 KB
429 rows
7 columns


CREATE TABLE ada_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Atom Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.atom_usd

27.12 KB
429 rows
7 columns


CREATE TABLE atom_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Axs Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.axs_usd

27.31 KB
429 rows
7 columns


CREATE TABLE axs_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bch Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.bch_usd

27.02 KB
429 rows
7 columns


CREATE TABLE bch_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bnb Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.bnb_usd

26.97 KB
429 rows
7 columns


CREATE TABLE bnb_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Btc Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.btc_usd

26.99 KB
429 rows
7 columns


CREATE TABLE btc_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Busd Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.busd_usd

22.34 KB
429 rows
7 columns


CREATE TABLE busd_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Cro Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.cro_usd

27.42 KB
429 rows
7 columns


CREATE TABLE cro_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Dai Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.dai_usd

24.59 KB
429 rows
7 columns


CREATE TABLE dai_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Doge Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.doge_usd

27.95 KB
429 rows
7 columns


CREATE TABLE doge_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Dot Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.dot_usd

25.4 KB
393 rows
7 columns


CREATE TABLE dot_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Etc Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.etc_usd

27.26 KB
429 rows
7 columns


CREATE TABLE etc_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Eth Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.eth_usd

27.1 KB
429 rows
7 columns


CREATE TABLE eth_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Fil Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.fil_usd

27.12 KB
429 rows
7 columns


CREATE TABLE fil_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ftt Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.ftt_usd

26.94 KB
429 rows
7 columns


CREATE TABLE ftt_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Leo Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.leo_usd

26.53 KB
429 rows
7 columns


CREATE TABLE leo_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Link Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.link_usd

27.08 KB
429 rows
7 columns


CREATE TABLE link_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ltc Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.ltc_usd

27.07 KB
429 rows
7 columns


CREATE TABLE ltc_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Luna1 Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.luna1_usd

27.24 KB
429 rows
7 columns


CREATE TABLE luna1_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Matic Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.matic_usd

27.56 KB
429 rows
7 columns


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

Near Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.near_usd

27.11 KB
429 rows
7 columns


CREATE TABLE near_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Shib Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.shib_usd

14.94 KB
429 rows
7 columns


CREATE TABLE shib_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Sol Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.sol_usd

27.36 KB
429 rows
7 columns


CREATE TABLE sol_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Trx Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.trx_usd

27.94 KB
429 rows
7 columns


CREATE TABLE trx_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Usdc Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.usdc_usd

23.33 KB
429 rows
7 columns


CREATE TABLE usdc_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Usdt Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.usdt_usd

23.63 KB
429 rows
7 columns


CREATE TABLE usdt_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ust Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.ust_usd

25.02 KB
429 rows
7 columns


CREATE TABLE ust_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Xmr Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.xmr_usd

26.79 KB
429 rows
7 columns


CREATE TABLE xmr_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Xrp Usd

@kaggle.artemburenok_cryprocurrency_prices_for_the_year.xrp_usd

27.2 KB
429 rows
7 columns


CREATE TABLE xrp_usd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);