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Analytics Data | Quantitative Analytics

StarMine Quantitative Models

Quantitative analytics models designed to support data-driven investment analysis, monitoring and decision workflows.

Key facts for StarMine Quantitative Models

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1998
Coverage count:
55000 Companies scores
Asset Class
Ordinary Shares, Equities

Delivery metadata

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

Overview of StarMine Quantitative Models

Description of the dataset

  • LSEG provides StarMine Quantitative Models to deliver value-added analytics and predictive financial modelling for investment decision-making. Our quantitative analytics help clients identify opportunities, manage risk and strengthen research workflows.
  • We ground our models in sound economic intuition and validate them through rigorous analysis. LSEG combines deep company, market and reference data capabilities with advanced model design to create actionable investment signals.
  • Our StarMine model suite spans sectors, regions and markets to support both quantitative and fundamental investors. We help portfolio managers, analysts, bankers and risk professionals apply data-driven insights across financial workflows.
  • As part of LSEG’s broader Analytics offering, StarMine Quantitative Models provide structured signals that can complement traditional research and portfolio analysis. We support higher-quality decisions through consistent, scalable and research-backed analytics.

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.