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DailyStonks_mini.py - Elegant Stock Visualization Demo Tool

An elegant, lightweight stock plotting utility with AI-powered trend forecasting. Perfect for quick market insights with minimal effort.

Features

  • Beautiful Stock Visualizations - Clean, informative charts that highlight key data points
  • AI-Powered Forecasting - Optional trend predictions with confidence intervals
  • Multiple Visual Themes - Choose from light, dark, or cyberpunk aesthetics
  • Data Caching - Smart performance optimizations for faster repeat lookups
  • Simple CLI Interface - Intuitive command-line options for customization
  • Export Capability - Save high-resolution PNG charts for reports and sharing
  • Auto Dependency Management - Smart detection and installation of required packages

Installation

bash # Clone the repository git clone https://github.com/dailystonks/stonkplot.git cd stonkplot

Install dependencies

pip install -r requirements.txt

Or just grab the standalone script:

bash # Make sure you have the required packages pip install matplotlib numpy yfinance scikit-learn pandas Dependencies

Python 3.7+ matplotlib numpy yfinance scikit-learn pandas

Usage

Basic Usage

bash # Basic stock chart python stonkplot.py AAPL

Add AI-powered forecast

python stonkplot.py TSLA --forecast

Advanced Options

bash # Change time range python stonkplot.py NVDA --days 90

Change theme

python stonkplot.py MSFT --theme dark

Customize forecast length

python stonkplot.py GOOG --forecast --forecast-days 10

Export as an image

python stonkplot.py AMZN --export

All Options usage: stonkplot.py [-h] [--forecast] [--days DAYS] [--forecast-days FORECAST_DAYS] [--theme {light,dark,cyberpunk}] [--export] ticker

Elegant stock visualization with AI forecasting

positional arguments: ticker Stock ticker symbol (e.g., AAPL, TSLA)

options: -h, --help show this help message and exit --forecast, -f Include AI-based price trend forecast (default: False) --days, -d DAYS Number of historical days to display (default: 60) --forecast-days, -fd FORECAST_DAYS Number of days to forecast ahead (default: 5) --theme, -t {light,dark,cyberpunk} Visual theme for the chart (default: light) --export, -e Export chart as PNG image (default: False)

Examples

  • Light Theme (Default)
  • Dark Theme
  • Cyberpunk Them

About the AI Forecast

The forecast uses a Ridge regression model with:

  • Data standardization for better accuracy
  • Confidence intervals showing prediction uncertainty
  • 90% confidence bands by default

The model works best for short-term trend analysis and should not be used as financial advice.

Contributing

Contributions are welcome! Feel free to:

  • Report bugs
  • Suggest features
  • Submit pull requests

License

CC0 & MIT Hybrid License - See [HYBRID_LICENSE.md] file for details.

About DailyStonks

DailyStonks creates elegant, powerful tools for market analysis and visualization. Check out our other projects at github.com/dailystonks.

Created by DailyStonks