A Python desktop application that ranks stock ticker symbols and company names by keyboard-layout-aware edit distance. Built as a capstone project for the University of Utah Master of Software Engineering program.
Distarb explores the idea that typos in stock ticker searches are not random — they are influenced by the physical proximity of keys on a keyboard. The app combines string edit distance with QWERTY key-distance weighting to surface the most likely intended ticker or company name from a potentially mistyped input.
It also includes an SEC congressional trading disclosure scraper, allowing users to explore recent stock transactions made by U.S. senators.
- Keyboard-weighted edit distance ranking of ticker symbols
- Company name fuzzy search using cleaned string matching
- SEC congressional trading disclosure scraper
- Interactive PyQt5 GUI with live graph output via PyQtGraph
- 28 unit tests with CI via GitHub Actions
Python, PyQt5, PyQtGraph, pandas, yfinance, BeautifulSoup, pendulum, clavier (vendored)
Recommended: use the provided conda environment.
conda create -n distarb python=3.9.15
conda activate distarb
python -m pip install -r requirements.txt
python app/main.py
Or run directly if dependencies are already installed:
python app/main.py
macOS note: if a packaged .app release fails to open, right-click and select Open, or run from terminal:
bash distarb.app/Contents/MacOS/distarb
python -m pytest app/tests.py -v
No animals were harmed in the making of this program. However, one particularly happy corgi named Doc received heaps of treats from the treat jar on my desk. As a result, he is becoming a bit of a chunk.