- prophet -For forcasting
- pandas - to read csv
- holowviews - to plot data
using google colab and install moules
by reading csv using pandas library then plot search traffic for monthof may to see if there uneven fluctuations in out trend
after make a comparesion between sum of search traffic and overall monthly median
plot different views by resample them by monthly, weekly and hourly then groupby them by index with using aggregation mean function
In this section reading stock trend csv file, then plot close price showing bellow
after we concate Search Trends with stock closing prices for only 6 month period of 2020 when market merged
founding out both time series indicate a common trend
After we added 3 more columns to our dataframe by making as shift of lag=1, lag=4 to lagged search trends, stock volatility respectivily and percent change of our
closing prices to see if there correlation between them
Lastly making prediction of stock prices for the next 80 days by using Prophet on google coleb
reading csv dataset, then apply fbprophet model on out dataset after plot it make understanding of our stock behavior
from last plot we see how search traffic behavios throught a year, week and day