Technical Stock Analysis Made Easy in Python

Today we will learn how to easily do technical analysis in Python, using TA-Lib. TA-Lib Download: https://www.lfd.uci.edu/~gohlke/pythonlibs/ DISCLAIMER: None of this is financial advice. This video focus on the programming aspects of the topic. I am not a financial professional. ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm 🎵 Outro Music From: https://www.bensound.com/ Timestamps: (0:00) Intro (0:17) Installing Libraries (5:45) Loading Stock Data (7:18) Simple Moving Average (SMA) (9:10) Exponential Moving Average (EMA) (9:54) Relative Strength Index (RSI) (13:47) Linear Regression (14:38) Moving Average Convergence Divergence (MACD) (19:19) Listing Functions & Help (21:05) Engulfing Pattern (29:13) Outro