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Analytics Data | Quantitative Analytics

StarMine Insider Filings Model

Quantitative analytics dataset for StarMine insider filings model signals and investment analysis.

Key facts for StarMine Insider Filings Model

Coverage metric

Geography:
North America
History:
From 1998
Coverage count:
Legal entities - 5350 Public companies
Asset Class
Ordinary Shares, Equities

Delivery metadata

Data Frequency
Continuous
Language
English
Delivery methods:
Excel, Web Service, API, Deployed/Onsite Servers, SFTP, Cloud, Desktop, FTP, Bulk, RSS Feed, Website
Data formats:
PDF, GZIP, XML, JSON, SQL, CSV, Text, Python, MPEG, HTML, Bitmap, User Interface, PCAP
Minimum service frequency
Continuous

Overview of StarMine Insider Filings Model

Description of the dataset

• LSEG provides the StarMine Insider Filings Model for US companies, using insider holdings and insider trading activity to assess insider sentiment. Our 1-100 scoring framework identifies bearish signals at the low end and bullish signals at the high end.

• We evaluate insider sentiment across three dimensions: agreement among insiders, buying depth and selling depth. LSEG converts these inputs into component scores and combines them into a single company-level ranking.

• Our model helps clients interpret whether insider purchasing or selling behaviour may indicate confidence or concern among company insiders. We support equity screening, idea generation and risk monitoring with a systematic view of insider activity.

• StarMine Insider Filings analytics from LSEG are designed for integration into quantitative and fundamental investment processes. We help analysts and portfolio managers compare insider sentiment consistently across the US equity universe.

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

LDMS - LSEG Data Management Solution

Cloud-hosted data management and repository platform for commodities content. Supports loading and consolidation of LSEG, third-party, and proprietary data and delivers near-streaming and non-streaming datasets such as pricing, reference data, and fundamentals via a unified interface for integration and analysis.