Randomized-stock-prediction-with-julia
using python, jupyter and the new language of the field in data science called julia to do machine learning with a stock to produce results
by doing data analysis on the data, i can conclude that the stock would have a downtrend.
more of the analysis that the opening, closing, low, high have positive correlation with each other therefore migh probably not be needed for analysis
after data cleaning process, most of the outliers have been removed
by conducting volatility analysis, i saw that the stock was volatile during its early periods and was less volatile after its IPO
after training and prediction measurement via julia, the accuracy of the model via training set was 96.5% and testing set was 98.72%
in conclusion, the price has been volatile and will have a downtrend in the forseeable future