This is complete stock analysis of Amazon from 1997 to 2019
It consist of complete data exploration and prediction of future with 80% accuracy
Insights
Year Information: 1997 - 2019
Month Information: All 12 months (January, February, March, April, May, June, July, August, September, October, November, and December)
Day Information: Only 5 working days (Monday, Tuesday, Wednesday, Thursday and Friday)
Total No. of trading days == 252
- after 2007 there is growth in price but after 2015 there is an exponential growth in closing value
2)The histogram distribution shows that the data is skewed to the left
3)It is very evident that Open, Close, High, Low, Adj Close stock values are highly collinear and hence have a very strong relationship
4)As a general rule, any variable that shows (+/-) 0.5 strength is considered to have a significant impact on the target
5)The whisker plot indicates the presence of outliers
6)Total stock volumes traded in a year/month/day over the entire historical data gives out some evident information for future improvements
7)There was a dip in 2012
8)Tuesday and thursday are days of the weeks in which maximum stocks are bought
Prediction for prediction the use of FbProphet() is done to get highly analytical results and forecasting of data
Skewness Skewness refers to distortion or asymmetry in a symmetrical bell curve, or normal distribution, in a set of data. If the curve is shifted to the left or to the right, it is said to be skewed. Skewness can be quantified as a representation of the extent to which a given distribution varies from a normal distribution.
Kurtosis kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable