Python Simple Stock Market Analysis (AAPL for 2024 - example)

Hey there! 👋 Welcome to the channel of VitoshAcademy! 🌟 📈 Want to predict stock trends like a pro? In this video, we’ll use Python to analyze Apple’s stock (AAPL) in 2024, combining moving averages and RSI to generate smart buy/sell signals. Perfect for traders, data enthusiasts, and Python beginners! Not a financial advice! 🧠 What You’ll Learn: 🔹 How to fetch live stock data using yfinance. 🔹 Calculating Simple Moving Averages (SMA) for trend analysis. 🔹 Using Relative Strength Index (RSI) to spot overbought/oversold conditions. 🔹 Combining SMA + RSI for stronger trading signals. 🔹 Visualizing everything with Matplotlib & Seaborn. ⏱ Timestamps: 00:00 - Intro & Why Stock Analysis Matters 01:15 - Downloading Apple’s Stock Data (2024) 03:00 - Daily Returns in % & Distribution Analysis 10:20 - 20/50 SMA Crossover Strategy 15:20 - RSI Signals (Overbought/Oversold) 17:20 - Combining SMA + RSI for Better Accuracy 19:05 - Summary & analysis of MSFT from 2020 to 2025 📂 Resources: 🔹 GitHub with full Jupyter Notebook: https://github.com/Vitosh/Python_personal/tree/master/YouTube/032_Python-for-basic-investment-analysis 🔹 The same code, but in 30 lines: https://www.vitoshacademy.com/python-simple-stock-analysis-with-yfinance/ 🔹 Dataset used: AAPL (Jan 2024 - Jan 2025) from yfinance 💬 Let me know in the comments: What stock should we analyze next? Tesla? NVIDIA? Drop your requests below! Don’t forget to 👍, subscribe, and hit the 🔔 for more Python & trading content. Happy coding! 🚀