Getting Started with Technical Analysis Using Python

Dive into a comprehensive 45-minute tutorial on getting started with Technical Analysis using Python and various data science libraries. Learn how to download stock data, perform calculations, and create customizable charts for stock market predictions. Master essential skills including working with libraries, converting CSV files to DataFrames, plotting price changes, calculating daily and cumulative returns, and visualizing return on investment and volume data. Gain hands-on experience with real-time data analysis and chart pattern recognition to enhance your understanding of financial markets and technical analysis techniques.

Intro
Installing Libraries
DataFrames
Columns
Stock Tickers
Save to CSV
Test
Stocks not downloaded
Getting all the stocks
Plotting the stocks
Daily return
Merge Data Frames
Cumulative Returns
Volume Data