Congressional Data

From filings we collect and match trades in the Senate and House and make them available within a day of processing.

Data arrives daily or as new trades are being made triggering the processing of the data.

Dataset contains 4000+ tickers, available from 2014-03-01 onwards.

Tutorials are the best documentation — Congressional Tutorial

Input Datasets

House and Senator Filings

Models Used

Parsing, Regex

Model Outputs

Standardized Rows

Description

The Congressional Trading dataset offers comprehensive insights into the financial transactions of U.S. Congress members, encompassing both Senate and House representatives. This dataset includes detailed information on securities traded, transaction dates, types of transactions (e.g., purchases, sales), transaction amounts, political party affiliations, and pertinent biographical details of each legislator.

By providing transparency into the investment activities of elected officials, this data serves as a crucial tool for constituents, analysts, investors, and policymakers to monitor potential conflicts of interest, assess ethical compliance, and understand the financial behaviors of those in power.

Data Access

The easiest is to just download the dump and to filter data from there, this is updated on a daily basis.

import sovai as sov
df_congress = sov.data("congress")

Data Dictionary

Name	Description	Type	Example
ticker	Stock ticker symbol traded by the representative	object	AAPL
date	Date the transaction was reported	object	2024-09-16
representative	Name of the congressional representative	object	A. Mitchell Jr. McConnell
bio_guide_id	Biographical identifier for the representative	object	M000355
transaction_date	Date when the transaction occurred	object	2024-09-01
transaction	Type of transaction (e.g., Purchase, Sale)	object	Purchase
house	Congressional house affiliation (Senate or House)	object	Senate
amount	Amount of the transaction in USD	float64	1001.0
party	Political party affiliation of the representative	object	R (Republican)
last_modified	Date the record was last updated	object	2024-09-16
days_to_report	Number of days taken to report the transaction	int64	15
bio_guide_url	URL to the representative's biographical page	object	https://bioguide.congress.gov/search/bio/M000355

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Use Cases

1. Investment Signal Generation: Utilize trading activities of congressional members to identify potential investment opportunities and market trends.

2. Insider Trading Detection: Monitor transactions by lawmakers to spot unusual trading patterns that may indicate insider information usage.

3. Sector Influence Analysis: Analyze which sectors are frequently traded by representatives to anticipate legislative support and its impact on those industries.

4. Portfolio Diversification: Incorporate insights from congressional trading data to diversify investments based on the financial behaviors of elected officials.

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