stock_prices | R Documentation |
A dataset containing various stock level characteristics for approximately 700 companies for each month in 2017
stock_prices
A data frame with 30705 rows and 24 variables:
the ticker symbol identifying the company
date_stamp
the closing price on the last day of the month
the adjusted closing price on the last day of the month
trading volume
1 month logarithic return
"amihud" illiquidity measure - 1 month average
"amihud" illiquidity measure - 3 month average
volatility of the daily amihud illiquidity measure
annualised 1 month volatility of 1 day arithmetic returns
annualised 3 month volatility of 1 day arithmetic returns
annualised 3 month volatility of 1 day arithmetic returns
skewness of 1 day arithmetic returns calculated over 6 months
kurtosis of 1 day arithmetic returns calculated over 6 months
average of the five highest daily returns over the trailing month divided by the trailing 20 day daily return volatility
the correlation of the daily returns between the stock and the S&P500 index over trailing 6 months
the slope of the regression line between the stocks daily returns and the S&P500 index daily returns over trailing 6 months
1 month arithmetic returns
3 month arithmetic returns
6 month arithmetic returns
12 month arithmetic returns
the industry sector to which the stock belongs
standardised unexpected volume
intra-portfolio correlation
...
Alpha Vantage for raw data and "return_attributes.R" for further calculations
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