💡 AI-Powered Stock Analysis with Github Copilot Agent(Step-by-Step Guide) | Python and Pandas

In this comprehensive tutorial, learn how to analyze NIFTY stock data using Python, Pandas, and the powerful Github Copilot Agent Mode! We take a hands-on approach by working with BEL (Bharat Electronics Limited) stock to demonstrate key technical indicators like Exponential Moving Averages (EMA) and Bollinger Bands.

📌 What You'll Learn:

Load stock data from Parquet files with pandas

Filter stock records for the past year

Calculate 30-day EMA on close price and traded quantity

Derive standard deviation and other custom metrics

Focused analysis on BEL stock from the NIFTY index

Plot Bollinger Bands using matplotlib

Format and visualize your insights effectively

🚀 Tech Stack Used:
Python • Pandas • Matplotlib • Github Copilot Agent Mode

🎯 Whether you're a data scientist, financial analyst, or Python enthusiast, this tutorial will help you build real-world skills in stock data analysis and visualization.

👉 Try it out on your favorite stock and start uncovering insights from the data!

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💬 Got questions or want to see another stock analyzed? Drop it in the comments below!

#StockAnalysis #PythonPandas #GithubCopilot #NIFTY50 #BollingerBands #EMA #DataScience #BELStock #FinancialAnalytics #PythonFinance #TechnicalAnalysis

Видео 💡 AI-Powered Stock Analysis with Github Copilot Agent(Step-by-Step Guide) | Python and Pandas канала Vishnu Vardhan Kota