In this article, I would walk you through how to visualize ticker stock daily pricing and volume using yFinance, mplfinance, and Pandas

Tables of Content: Visualise a Stock Pricing, Trading Volume Using Yahoo Finance and Candle

• Python Packages to Install: yfinance, mplfinance
• Dataset Required: datetime, ticker daily pricing & volume data
• Set date as index
• Plot the manipulated dataset using mplfinance and candle type
• Full Python script of visualise stock pricing and trading volume
• Data science & machine learning couresa tutorial courses recommendation

Python Packages to Install: finance, mplfinance, pandas_datareader

yfinance is not affiliated, endorsed, or vetted by Yahoo, Inc. It’s an open-source tool that uses Yahoo’s publicly available APIs, and is intended for research and educational purposes.

matplotlib finance utilities is specifically used for the visualization, and visual analysis, of financial data

Pandas Datareader is a Python package that allows us to create a pandas DataFrame object by using various data sources from the int. ernet. It is popularly used for working with realtime stock price datasets

pip install mplfinance

pip install yfinance

pip install pandas-datareader

Import yfinance as yf

Import mplfinance as mpf

Import pandas_datareader import data as pdr

Dataset Required: datetime, ticker daily pricing & volume data

First thing thing, we need to implement fix-yahoo-finance library to replace broken yahoo-finance from pandas

yf.pdr_override()

Then, we can get the specific ticker data by inputting the time range and using get_data_yahoo

Data = pdr.get_data_yahoo(“AAPL”, dt.datetime(2023, 1, 1), dt.datetime.now())

Set date as index

We need to set the date as the index before generating the graph

Data.index.name = “Date”

Plot the manipulated dataset using mplfinance and candle type

mpf.plot(data, type=”candle”, mav=(3 ,6, 9), volume=True)

Full Python script for visualizing stock pricing and trading volume

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