Candlestick

⏱ Quick start

mplfinance is the best library to quickly build a static candlestick chart.

It comes with a dedicated plot() function that has a type argument that can be set to candle:

Basic candlestick chart made with Python and the mplfinance library.

#libraries
import mplfinance as mpf
import yfinance as yf #(for the dataset)

# Define the stock symbol and date range
stock_symbol = "AAPL"  # Example: Apple Inc.
start_date = "2022-01-01"
end_date = "2022-03-30"

# Load historical data
stock_data = yf.download(stock_symbol, start=start_date, end=end_date)

# plot
mpf.plot(stock_data, type='candle')

Candlestick with mplfinance

mplfinance is a set of matplotlib utilities for the visualization, and visual analysis, of financial data. Its official documentation is available on github.

Building a candlestick chart with mplfinance is made easy thanks to its mpf.plot() function that has a type argument that can be set to candle.

Check the example below to understand how to build it from your dataset:

How to make a candlestick chart with Matplotlib and mplfinance

How to add one or several moving averages to a candlestick chart

Candlestick with Plotly

Plotly is a python library made to create interactive charts. It is particularly poweful when it comes to create interactive candlestick graphs.

On the clandlestick example below, you can zoom by selecting a specific area on the chart or using the minimap. On top of that, hovering a specific timestamp will give you all its price details.

Building a candlestick chart with Plotly is made easy thanks to its go.Candlestick() function. It takes as input a fig object that can be customized with a layout object.

Check the example below to understand how to build it from your dataset:

How to make a candlestick chart with Plotly

How to customize a candlestick chart with Plotly

How to add one or several moving averages to a candlestick chart