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Apple Stock Market Analysis

A historical AAPL analysis connecting Python, market data, MySQL, and Power BI.

THE PROJECT / FOLLOW THE THREAD

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01 / WHY THIS WORK EXISTS

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.

ProjectApple Stock Market Analysis
Available evidence7 linked files · visual preview
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02 / THE CHOICES & CONNECTIONS

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  1. 01

    Developed a Python-based data extraction script to ingest daily historical stock metrics using the Yahoo Finance API.

  2. 02

    Preprocessed raw stock data in Pandas, handling missing data points and calculating rolling averages, volatility, and trading volumes.

  3. 03

    Built a data model in Power BI, implementing DAX measures for year-over-year growth, CAGR, and cumulative returns.

  4. 04

    Designed an interactive financial dashboard utilizing storytelling techniques to guide users from executive performance down to daily trading trends.

Power BIPythonData EngineeringSQLDatabricksMySQLPandasDAXPower QueryExcel
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03 / OPEN THE WORK

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A historical AAPL analysis connecting Python, market data, MySQL, and Power BI.

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04 / THE WORK BEHIND THE CLAIM

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7 linked source files

DOCREADME.mdPBIPApple-AAPL-Stock-Market-Analysis-Dashboard.pbipPBIXApple-AAPL-Stock-Market-Analysis-Dashboard.pbixDOCdocs/business_case_presentation.mdDOCdocs/data_lineage.mdDOCdocs/data_pipeline.mdDOCdocs/powerbi_dashboard_design.md
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