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Analytics Data | Quantitative Analytics

StarMine Short Interest Model

Quantitative model focused on short interest signals for investment analysis and risk monitoring.

Key facts for StarMine Short Interest Model

Coverage metric

Geography:
North America
History:
From 2005
Coverage count:
Legal entities - 6150 Public companies
Asset Class
Ordinary Shares, Equities

Delivery metadata

Data Frequency
Daily
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
Daily

Overview of StarMine Short Interest Model

Description of the dataset

• For equity sentiment analysis, LSEG provides the StarMine Short Interest Model as a 1-100 stock ranking based on short interest reported by US exchanges. We translate short positioning into a structured signal that reflects the market view of sophisticated short sellers.

• LSEG builds the model on the empirically supported insight that elevated short interest can indicate negative investor sentiment and weaker future return potential. We also identify bullish opportunities where the absence of short interest suggests limited negative sentiment.

• Our methodology incorporates short interest levels together with cost-to-borrow considerations and arbitrage-related effects. We rank securities so that 100 represents the most favorable signal, helping investors integrate short interest intelligence into long and short equity strategies.

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.