candlestick

A Candlestick chart based on stock price data. This example demonstrates combining multiple glyphs. The non working days (weekends and bank holidays) are highlighted with an BoxAnnotation in light gray.

Details

Sampledata:

bokeh.sampledata.stocks

Bokeh APIs:

figure.segment, figure.vbar, bokeh.models.BoxAnnotation

Keywords:

candlestick

import pandas as pd

from bokeh.models import BoxAnnotation
from bokeh.plotting import figure, show
from bokeh.sampledata.stocks import MSFT

df = pd.DataFrame(MSFT)[60:120]
df["date"] = pd.to_datetime(df["date"])

inc = df.close > df.open
dec = df.open > df.close

non_working_days = df[['date']].assign(diff=df['date'].diff()-pd.Timedelta('1D'))
non_working_days = non_working_days[non_working_days['diff']>=pd.Timedelta('1D')]

df['date'] += pd.Timedelta('12h') # move candles to the center of the day

TOOLS = "pan,wheel_zoom,box_zoom,reset,save"

p = figure(x_axis_type="datetime", tools=TOOLS, width=1000, height=400,
           title="MSFT Candlestick", background_fill_color="#efefef")
p.xaxis.major_label_orientation = 0.8 # radians

boxes = [
    BoxAnnotation(fill_color="#bbbbbb", fill_alpha=0.2, left=date-diff, right=date)
    for date, diff in non_working_days.values
]
p.renderers.extend(boxes)

p.segment(df.date, df.high, df.date, df.low, color="black")

p.vbar(df.date[dec], pd.Timedelta('16h'), df.open[dec], df.close[dec], color="#eb3c40")
p.vbar(df.date[inc], pd.Timedelta('16h'), df.open[inc], df.close[inc], fill_color="white",
       line_color="#49a3a3", line_width=2)

show(p)