Data
GameStop-Historical-Stock-Prices

GameStop-Historical-Stock-Prices

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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GameStop Corp. is an American video game, consumer electronics, and gaming merchandise retailer. GameStop's stocks have spiked in recent days since the Reddit group blew up the stock price. Now GameStop is up more than 1,700 since the start of January. so it is interesting to try to predict the stock prices in the next months and see how prediction and time series models will perform in this case. This Dataset is a daily historical stock price of GameStop from February 2002 (the year it was listed) to January 2021. Content The dataset contains: Date: The date of trading Open_price: The opening price of the stock High_price: The high price of that day Low_price: The low price of that day Close_price: The closed price of that day Volume: The amount of stocks traded during that day Adjclose_price: The stock's closing price has been amended to include any distributions/corporate actions that occur before the next days open. Acknowledgements This Dataset collected from Yahoo finance website Inspiration How a sudden increasi in the volume affect stock trading? What the impact of the variance between the adjusted close and the next day's opening price?

7 features

datestring4773 unique values
0 missing
open_pricenumeric2941 unique values
0 missing
high_pricenumeric3042 unique values
0 missing
low_pricenumeric3009 unique values
0 missing
close_pricenumeric3051 unique values
0 missing
volumenumeric4533 unique values
0 missing
adjclose_pricenumeric3818 unique values
0 missing

19 properties

4773
Number of instances (rows) of the dataset.
7
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
Number of attributes divided by the number of instances.
85.71
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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