Capitol Alpha Machine

Weekly report - 2026-11-02

$2.27B in total disclosed trading volume.

The current machine bundle reads 34,800 public disclosures from 2023-06-30 to 2026-10-28 and renders them across five interactive data scenes.

This week at a glance

Total disclosed volume
$2.27B
Buy/sell disclosures
34,662
Returns records
5,621
Timing events
31
Timing-linked trades
372

Generated from the bundled data on 2026-11-02. Capitol Trades public 3-year volume total, read 2026-06-14

Report notes

SignalCurrent read
Capital FlowA cumulative total-flow line climbs to the full disclosed volume while net cumulative flow snakes underneath.
Disclosure coverage34,800 public disclosures across 2023-06-30 to 2026-10-28.
Returns coverage5,621 rows; trade dates 2023-07-05 to 2026-08-05. This price study is refreshed separately.
Policy Proximity coverage31 public-law events and 372 proximity-linked trades, 2024-07-09 to 2025-08-19. This law study is refreshed separately.

The report date records when this page was generated. It does not mean that every dataset or price observation is from that date. Each study has its own coverage window.

Largest ticker rows in the current returns bundle

TickerRowsRepresentative disclosed value
MSFT137$154.8M
AAPL90$53.5M
JPM63$46.7M
NVDA113$32.7M
BMO21$17.8M

Largest member rows in the current returns bundle

MemberRowsRepresentative disclosed value
Michael Mccaul1,483$172.7M
Joshua Gottheimer177$144.4M
Nancy Pelosi39$96.3M
Jefferson Shreve301$81.1M
Rohit Khanna1,485$51.4M

Rows use representative disclosed values from public disclosure ranges. They are not exact holdings, profit, or intent.

Read the scenes

Capital Flow emphasizes total disclosed trading volume as a cumulative climb while net cumulative flow snakes underneath. Exposure Index frames committee-sector overlap as a triage signal. Returns Spectrum compares disclosed trades to trailing market movement. Policy Proximity links public laws and trades through date and sector proximity only.

This weekly report is a crawlable editorial layer over the visualization data. It does not accuse any member of wrongdoing and does not claim causation between trades and public-law events.