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Complete-Historical-Cryptocurrency-Financial-Data

Complete-Historical-Cryptocurrency-Financial-Data

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context Recent growing interest in cryptocurrencies, specifically as a speculative investment vehicle, has sparked global conversation over the past 12 months. Although this data is available across various sites, there is a lack of understanding as to what is driving the exponential rise of many individual currencies. This data set is intended to be a starting point for a detailed analysis into what is driving price action, and what can be done to predict future movement. Content Consolidated financial information for the top 10 cryptocurrencies by marketcap. Pulled from CoinMarketCap.com. Attributes include: Currency name (e.g. bitcoin) Date Open High Low Close Volume Marketcap Inspiration For the past few months I have been searching for a reliable source for historical price information related to cryptocurrencies. I wasn't able to find anything that I could use to my liking, so I built my own data set. I've written a small script that scrapes historical price information for the top 200 coins by market cap as listed on CoinMarketCap.com. I plan to run some basic analysis on it to answer questions that I have a "gut" feeling about, but no quantitative evidence (yet). Questions such as: What is the correlation between bitcoin and alt coin prices What is the average age of the top 10 coins by market cap What day of the week is best to buysell Which coins in the top two hundred are less than 6 months old Which currencies are the most volatile What the hell happens when we go to bed and Asia starts trading Feel free to use this for your own purposes I just ask that you share your results with the group when complete. Happy hunting

8 features

Currencystring12 unique values
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Datestring2412 unique values
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Openstring12307 unique values
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Highstring12057 unique values
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Lowstring12803 unique values
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Closestring12294 unique values
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Volumestring16349 unique values
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Market_Capstring16058 unique values
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19 properties

28944
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.
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Number of numeric attributes.
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Number of nominal attributes.
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Number of attributes divided by the number of instances.
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Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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