Stop being the product.
Become the owner.
or
sign uplog in
U.S. congressional stock trading disclosures visualized as volume, timing, and committee-exposure patterns

I built this interactive data visualization to explore U.S. congressional trading disclosures through five scenes: disclosed trading volume, ledger flow, exposure density, trailing returns, and timing/committee proximity.

The project is meant as data-art and public-record exploration, with methodology and caveats included.

**Data source:** Capitol Trades public congressional trading disclosure data, with public-law timing context from Congress.gov . The visualization uses disclosed transaction values/ranges and treats them as representative values for visual scale.

**Tools used:** Python for scraping/refreshing and generating the data bundle; JavaScript + HTML Canvas for the interactive visualizations; static HTML pages generated for methodology/data notes; deployed on Vercel.

**Methodology and caveats**:
https://capitol-alpha-machine.vercel.app/methodology

**Data summar**y:
https://capitol-alpha-machine.vercel.app/data

Important caveat: this is a public-disclosure data visualization, not an allegation of unlawful conduct, intent, or causation. “Disclosed trading volume” means reported public disclosure volume, not profit.
#education
source
earnings
4,000 mlx total
$0  total
engagement
5 views
0 reactions
0 comments