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Analytics Data

Analytics data and models for pricing, valuation, risk, sentiment and sustainability research across investment workflows.

Analytics Data catalogue
  1. Overview
  2. Features & benefits
  3. Most-adopted
  4. Key datasets
  5. All categories
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Understanding Analytics Data

Open analytics ecosystem

  1. Combines proprietary models and market data for scalable analytics
  2. Accessible through APIs, cloud and AI environments
  3. Integrates with existing tools and workflows across users and applications

Analytics for smarter investment decisions

  1. Delivers trusted analytics across asset classes, supporting pricing, risk, research and investment workflows
  2. Combines data, models and AI-powered intelligence
  3. Provides enterprise-scale financial analytics

Turn complex data into actionable insight

  1. Accelerates insight generation and decision-making across the enterprise
  2. Solves complex financial challenges with confidence
  3. Supports front, middle and back office workflows with consistent analytics

Features & Benefits

What our Analytics Data offers 

  • 100+
    Analytics models
  • 55,000+
    Comprehensive global public company coverage

A closer look at our Analytics Data category

Analytics Data catalogue

Most-adopted Analytics Data datasets across customers

StarMine Analyst Revisions Model

ANALYST SENTIMENT SIGNAL
Quantitative model data reflecting analyst revision signals for investment research and screening.

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StarMine Combined Alpha Model

MULTI-FACTOR ALPHA MODEL
Combined Alpha Model brings together StarMine’s most powerful quantitative signals into a single, regionally optimised alpha model.

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StarMine Earnings Quality Model

EARNINGS SUSTAINABILITY
Quantitative dataset for StarMine earnings quality analytics and model-driven investment review.

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Analytics Data dataset-level view

All categories

Full list of all categories

Frequently asked questions

  • StarMine is LSEG's quantitative modelling suite with 24+ years of predictive modelling, built for stockbrokers and mutual funds. It drives alpha generation via 16 models covering value, momentum, earnings quality, analyst revisions, and smart money indicators to spot market anomalies. Credit risk offers Smart Ratios, Structural Credit Risk, Text Mining Credit Risk, and Sovereign Risk models all ranking securities 1–100 to assess default probability across fundamental, market & sentiment signals.

  • LSEG provides advanced analytics across quantitative, portfolio/risk, and ESG domains. This includes StarMine models (value, momentum, quality across 40,000+ firms), Portfolio Analytics for attribution and stress testing, Yield Book for fixed income, and ESG scores for 14,500+ companies. Unlike raw market data, these tools apply models and scenario analysis to deliver structured, decision-ready insights.

  • LSEG's analytics domain comprehensively supports all four areas: Trading through real-time market data and execution insights; Risk through portfolio assessment and stress testing; Compliance through transaction monitoring and surveillance; and Investment Research through fundamental analysis and market intelligence tools. This approach enables traders, risk managers, compliance officers, and researchers to leverage unified data and analytics across the organisation.