Apple Stock Market Analysis
An end-to-end data engineering and analytics project analyzing historical Apple Inc. (AAPL) stock market data up to the present day, to extract actionable business insights and investment strategies.
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Chapter 1 of 4 · The question
What this project explores.
An end-to-end data engineering and analytics project analyzing historical Apple Inc. (AAPL) stock market data up to the present day, to extract actionable business insights and investment strategies.
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- 01
Developed a Python-based data extraction script to ingest daily historical stock metrics using the Yahoo Finance API.
- 02
Preprocessed raw stock data in Pandas, handling missing data points and calculating rolling averages, volatility, and trading volumes.
- 03
Built a data model in Power BI, implementing DAX measures for year-over-year growth, CAGR, and cumulative returns.
- 04
Designed an interactive financial dashboard utilizing storytelling techniques to guide users from executive performance down to daily trading trends.
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A historical AAPL analysis connecting Python, market data, MySQL, and Power BI.
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An end-to-end data engineering and analytics project analyzing historical Apple Inc. (AAPL) stock market data up to the present day, to extract actionable business insights and investment strategies.
Current README excerpt
[](https://powerbi.microsoft.com/) [](https://www.mysql.com/) [](https://www.python.org/) [](https://jupyter.org/) [](https://github.com/features/actions) [](https://opensource.org/licenses/MIT)
A source excerpt, not an independently verified outcome.