Candlestick Charts in Python with NSEPython and Plotly

The candlestick chart is a style of financial chart describing open, high, low, and close for a given x coordinate (most likely time).

• The boxes represent the spread between the open and close values and the lines represent the spread between the low and high values.
• Sample points where the close value is higher (lower) than the open value are called increasing (decreasing).
• By default, increasing candles are drawn in green whereas decreasing are drawn in red.

Simple Candlestick with Pandas

We shall be using equity_history() function of NSEPython.

NSEPython is a Python wrapper coded by us only to scrap values from the NSE India website. Here is a basic construction of Pandas Dataframe with 365 days of data of SBI Equities –

from nsepython import *

end_date = datetime.datetime.now().strftime("%d-%m-%Y")
end_date = str(end_date)

start_date = (datetime.datetime.now()- datetime.timedelta(days=65)).strftime("%d-%m-%Y")
start_date = str(start_date)

symbol = "SBIN"
series = "EQ"

df = equity_history(symbol,series,start_date,end_date)

Plotting Candle Stick Charts Using Python

Here is the second part of the code that uses Plotly library to draw a Candlestick Chart from the data We just fetched –

import plotly.graph_objects as go

fig =…