-APPLE-STOCK-DATA-DEMO

Apple Stock Data Demo (AI-Ready Dataset)

Overview

This demo project prepares a clean, structured financial dataset for the Apple Inc. (AAPL) stock, covering the last 2 years.
It demonstrates data collection, cleaning, feature engineering, visualization, and reporting — suitable for AI model training, financial analytics, or forecasting prototypes.

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Workflow

1. Data Source

• Yahoo Finance API via yfinance
• All data are public market data (no personal information is used)

2. Data Preparation

• Retrieve 2-year historical OHLCV data
• Add fundamental data: financials, balance sheet, cashflow
• Handle missing values (forward fill)
• Remove duplicates and invalid (negative) entries
• Convert dates to ISO format (YYYY-MM-DD)

3. Feature Engineering

Calculated using ta:

• SMA_20: Simple Moving Average (20-day)
• EMA_20: Exponential Moving Average (20-day)
• RSI_14: Relative Strength Index (14-day)
• MACD: Moving Average Convergence Divergence
• Return: Daily % change of closing price

4. Validation

• Checks for missing or negative values
• Detection of extreme daily changes (>10%)
• Cross-checks against Yahoo Finance for data integrity

5. Visualization

Line charts showing:

• Close Price
• SMA 20
• EMA 20
• Highlighted spikes (>10% daily return)

6. Summary Report (PDF)

Generated using reportlab:

• Aggregated statistics (mean, std, min, max)
• Table of extreme daily returns (>10%)
• Ready for documentation or presentation 📄 View Summary Report (PDF) —

How to Run

Prerequisites

Install required libraries:

cd Desktop

mkdir AI-FINANCE

cd AI-FINANCE

python -m venv venv

venv\Scripts\activate

pip install yfinance ta matplotlib reportlab pandas

Download the script file demo_dataset.py from this repository

• Go to the GitHub page of this project
• Click on the file demo_dataset.py
• In the top right, click “Download raw file” (it will usually go to your Downloads folder)
• Move or copy the saved file into your project folder: AI-FINANCE

python demo_dataset.py

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Usage Notes

• The script and report can be used for analytics, AI model training prototypes, or forecasting demonstrations.
• Raw Yahoo Finance data are not included; only scripts and reports are provided.

Legal Disclaimer & License

• The scripts in this project are original work by the author and are licensed under the Apache License 2.0. See the LICENSE file for full details.
• The Python code downloads publicly available Apple Inc. (AAPL) stock data via the Yahoo Finance API (yfinance library).
• All data processing, cleaning, feature engineering, technical indicator calculations, visualizations, and PDF reports are performed locally by the scripts.
• Raw Yahoo Finance data are not included in this repository and may not be used for commercial purposes.
• This project is intended strictly for educational, research, and demonstration purposes (e.g., AI model training, financial analysis, forecasting prototypes).
• The author provides no financial advice and assumes no responsibility for investment decisions made using the outputs of this project.
• Users are solely responsible for any commercial or production use of the data or outputs generated by this code.

See also the NOTICE file for full attribution and data source information.

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