ODFL

Name: ODFL Congressional Trading Activity
Creator: Signal Congress

Congressional ActivityEXPLORE GRAPH →

OLD DOMINION FREIGHT LINE, INC CMN

TOTAL TRADES

BUYS

SELLS

MEMBERS

unique traders

BIPARTISAN CLUSTERS

AVG ALPHA 60D

-3.21%

vs SPY benchmark

ODFL timeline27 trades · Congress + cabinet · convergence

Positioned by disclosure date. Click any marker for its source filing.

CongressCabinetContract cut8-K13D▲ buy ▼ sell ◆ n/a ■ event

EXECUTIVE HOLDINGS

Primary-source OGE 278-T disclosures

View all on Executive page →

OFFICIAL	AGENCY	DATE	TYPE	AMOUNT
Helberg, Jacob Under Secretary of State (Economic Growth	Department of State/Energy, and the Environment)	Jan 2, 26	SELL	$15K–$50K
Helberg, Jacob Under Secretary of State (Economic Growth	Department of State/Energy, and the Environment)	Jan 2, 26	SELL	$1K–$15K
Feinberg, Stacey	—	Dec 30, 25	BUY	$50K–$100K
Ehikian, Stephen B Deputy Administrator	General Services Administration	Aug 8, 25	BUY	$1K–$15K
Seats, Christopher DAS	Department of Housing and Urban Development	Jul 3, 25	BUY	$1K–$15K
Seats, Christopher Deputy Assistant Secretary for Multifamily Housing	Department of Housing and Urban Development	Apr 2, 25	BUY	$1K–$15K

25 trades

Congressional trading data from STOCK Act filings. Not investment advice.

ABOUT CONGRESSIONAL TRADING IN ODFL

As of July 2026, 7 members of Congress have collectively executed 25 disclosed trades on ODFL (OLD DOMINION FREIGHT LINE, INC CMN). This includes 19 purchases and 6 sales, with bipartisan cluster activity detected 0 times — instances where members of both parties traded ODFL within overlapping time windows, often a signal of coordinated information or policy-related activity.

MOST-ACTIVE TRADERS

The most active trader of ODFL on Signal Congress is Ro Khanna with 12 trades, followed by Marjorie Taylor Greene (4 trades) and Rick Larsen (2 trades).

Signal Congress tracks ODFL congressional trades through STOCK Act PTR filings from the House Clerk XML feed and Senate eFD system. Each trade is scored for conviction (0–100 scale) based on filing speed, amount, and corroboration signals, and analyzed for alpha generation against the SPY benchmark over 60-day and 180-day windows.