This Python application read Finance stock data from Google API and represent it in HTML file.

StockAnalysis.py

from pandas_datareader import data
import datetime
from bokeh.plotting import figure, show, output_file
x
start = datetime.datetime(2016,11,1)
end = datetime.datetime(2017,2,10)
df = data.DataReader(name="GOOG", data_source="google", start=start, end=end)

#date_increase = df.index[df.Close > df.Open]
#date_decrease = df.index[df.Close < df.Open]

def inc_dec(c, o):
    if c > o:
        value = "Increase"
    elif c < o:
        value = "Decrease"
    else:
        value = "Equal"
    return value

df["Status"] = [inc_dec(c, o) for c, o in zip(df.Close, df.Open)]
df["Middle"] = (df.Open+df.Close)/2
df["Height"] = abs(df.Close - df.Open)
#print(df)

p = figure(x_axis_type='datetime', width=1000, height=300, responsive=True)
#p.title = "Candlestick Chart"
p.grid.grid_line_alpha=0.9

hours_12 = 12*60*60*1000

p.segment(df.index, df.High, df.index, df.Low, color="Black")

p.rect(df.index[df.Status == "Increase"],
       df.Middle[df.Status=="Increase"],
       hours_12,
       df.Height[df.Status =="Increase"],
       fill_color="#CCFFFF",
       line_color = "black")

p.rect(df.index[df.Status == "Decrease"],
       df.Middle[df.Status == "Decrease"],
       hours_12,
       df.Height[df.Status == "Decrease"],
       fill_color="#FF3333",
       line_color = "black")

output_file("CS.html")

show(p)