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Data
Cryptocurrencies

Cryptocurrencies

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Stewart
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Context Thousands of cryptocurrencies have sprung up in the past few years. Can you predict which one will be the next BTC? Content The dataset contains daily opening, high, low, close, and trading volumes for over 1200 cryptocurrencies (excluding bitcoin). Acknowledgements https://timescaledata.blob.core.windows.net/datasets/crypto_data.tar.gz Inspiration Speculative forces are always at work on cryptocurrency exchanges - but do they contain any statistically significant features?

8 features

DateTimestring1385 unique values
0 missing
Opennumeric18487 unique values
0 missing
Highnumeric18317 unique values
0 missing
Lownumeric17400 unique values
0 missing
Closenumeric18479 unique values
0 missing
Volumenumeric260391 unique values
0 missing
VolumeBTCnumeric54852 unique values
0 missing
Symbolstring1192 unique values
0 missing

19 properties

567769
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
6
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
Average class difference between consecutive instances.
75
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

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