Used to organize and clean the data into "DataFrames," which are efficient for calculating price movements and rolling averages.
These libraries handle the visualization, from basic line charts to interactive candlestick patterns.
Most Python stock trackers rely on a standard stack of libraries:
The go-to library for fetching historical and real-time market data from Yahoo Finance .