The code so clean, you could eat off it. (Please don't.)

DailyStonks Mini: Precision & Polish in a Python PackageDailyStonks Mini is a standalone, lightweight stock plotting utility with an AI-powered trend forecasting feature. While it's a fully functional tool, its primary purpose is a showcase of our commitment to clean code, elegant design, and robust engineering.This project demonstrates:Modular and Maintainable Code: A tidy codebase that's easy to read, understand, and extend.Intelligent Automation: Smart dependency management and data caching that simply works.Polished User Experience: Intuitive command-line interface and beautiful, customizable visual themes.What It DoesJust a few lines of code to generate insightful stock charts, complete with optional AI-driven trend forecasts. It's a testament to the power of a well-engineered tool that provides significant value with minimal complexity.Sample Outputs

Getting StartedBecause a truly well-built tool should be easy to use, we've made setup a breeze.InstallationClone the repository and install the dependencies. The script will handle the rest.# Clone the repository git clone [https://github.com/your-username/dailystonks-mini.git](https://github.com/your-username/dailystonks-mini.git) cd dailystonks-mini

Install dependencies (they'll be auto-managed)

pip install -r requirements.txt UsageThe CLI is designed for clarity.# Basic usage python stonkplot.py AAPL

With AI forecasting and a different theme

python stonkplot.py TSLA --forecast --theme dark

Change the time range and forecast length

python stonkplot.py NVDA --days 90 --forecast --forecast-days 10

Export to a file

python stonkplot.py MSFT --export For a full list of options, use --help.LicenseThis project is licensed under a Hybrid License (MIT + CC0). Feel free to use it, learn from it, and even contribute.For more details, see the LICENSE file.
Created by the team at DailyStonks.Find more of our work at github.com/dailystonks. python stonkplot.py NVDA --days 90 --forecast --forecast-days 10

Export to a file

python stonkplot.py MSFT --export For a full list of options, use --help.LicenseThis project is licensed under a Hybrid License (MIT + CC0). Feel free to use it, learn from it, and even contribute.For more details, see the LICENSE file.
Created by the team at DailyStonks.Find more of our work at github.com/dailystonks.