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VIP Play Inc Stock Price Reporting System

A comprehensive stock price reporting tool for VIP Play Inc (VIPP) that generates daily reports and visual charts.

Features

  • Daily Reports: Text-based reports with key metrics including open, close, high, low prices and trading volume
  • Weekly Visual Charts: Price charts with trend lines and volume data
  • Monthly Line Charts: Line charts with moving averages and statistics
  • Monthly Bar Charts: Bar charts with up/down day coloring and volume analysis

Installation

pip install -r requirements.txt

Quick Start

# Initialize with sample data (90 days)
python main.py init

# Generate all reports
python main.py all

Usage

Generate Daily Report

python main.py daily

Generate Weekly Chart

python main.py weekly
python main.py weekly --weeks 2  # Last 2 weeks
python main.py weekly --candlestick  # Include candlestick chart

Generate Monthly Charts

python main.py monthly
python main.py monthly --months 3  # Last 3 months
python main.py monthly --combined  # Include combined analysis chart

Generate All Reports

python main.py all

Add Custom Price Entry

python main.py add --date 2024-01-15 --open 45.00 --high 46.50 --low 44.25 --close 45.75 --volume 1500000

Check Data Status

python main.py status

Output

Reports and charts are saved to the reports/ directory:

  • daily_report_YYYY-MM-DD.txt - Daily text reports
  • weekly_chart_YYYY-MM-DD.png - Weekly price charts
  • monthly_line_chart_YYYY-MM-DD.png - Monthly line charts
  • monthly_bar_chart_YYYY-MM-DD.png - Monthly bar charts

Project Structure

Fuzebox/
├── main.py              # Main runner script
├── requirements.txt     # Python dependencies
├── README.md           # Documentation
├── src/
│   ├── __init__.py
│   ├── stock_data.py    # Stock data management
│   ├── daily_report.py  # Daily report generator
│   ├── weekly_chart.py  # Weekly chart generator
│   └── monthly_charts.py # Monthly charts generator
├── data/
│   └── vip_play_stock.json  # Stock price data
└── reports/
    └── (generated reports)

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  • Python 100.0%