StarMine
StarMine is a quantitative analytics and predictive modeling platform owned by the London Stock Exchange Group (LSEG).
Publisher review
StarMine is a quantitative analytics and predictive modeling platform owned by the London Stock Exchange Group (LSEG). It is designed for institutional investors, asset managers, and quantitative analysts who need data-driven insights to identify investment opportunities, generate alpha, and manage risk. The platform covers over 40,000 companies globally, offering models that span sectors, regions, and markets. StarMine is positioned as a high-end tool for professionals who require rigorous, research-backed analytics rather than a general-purpose financial data terminal.
The platform provides a suite of quantitative models, including classic factor models (value, momentum, quality, risk), smart money models that track insider and institutional activity, combination models that blend multiple signals, and credit and sovereign risk models. Users access these via a desktop interface for data visualization or via a feed (FTP or LSEG Quantitative Analytics Database) for systematic integration into machine learning and multifactor models. Each model's feed includes time series of analytics and predictive scores, enabling quants to test hypotheses and incorporate data directly into their workflows. StarMine has a 20+ year track record in predictive modeling and emphasizes a 'clear-box' design, meaning users can see the underlying analytics and customize components rather than relying on a black box.
Compared to competitors like AlphaSense, PitchBook, Koyfin, YCharts, WallStreetZen, Benzinga Pro, and Ziggma, StarMine is more expensive and institution-focused. While tools like Koyfin and YCharts offer lower-cost alternatives for individual investors, StarMine provides deeper historical data breadth and more sophisticated risk and credit models. However, the sources do not provide direct feature-by-feature comparisons with these alternatives, making it difficult to assess relative performance in specific use cases like private market analysis (PitchBook) or news sentiment (AlphaSense).
The main trade-off is cost: StarMine carries an annual fee of $24,240 per user, which is high compared to many alternatives that offer free tiers or lower subscription prices. While the platform's models are robust and grounded in economic intuition, the price point limits its accessibility to large institutions. Additionally, the sources do not detail pricing tiers or standalone model pricing, so users may need to contact LSEG for a custom quote. The platform's strength in breadth and history also means it may be overkill for smaller firms or individual investors who only need basic financial data.
How it works
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Predictive modeling track record
Over 20 years of successful predictive modeling, leveraging overlooked factors to support alpha generation and risk management.
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Industry-leading data coverage
Covers over 40,000 companies with broad historical data, setting a market standard in breadth and depth.
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Clear-box design
Transparent models allow users to understand underlying analytics and customize components, not just use final rankings.
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Flexible access points
Access via desktop for visualization or via feed (FTP/database) for systematic integration into quantitative workflows.
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Classic factor models
Includes value, momentum, ownership, risk, and quality models grounded in sound economic intuition.
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Smart money models
Tracks insider and institutional activity to identify signals not captured by standard factor models.
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Combination models
Blends multiple signals into composite scores for more robust investment signals.
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Credit and sovereign risk models
Provides analytics for assessing credit risk and sovereign risk across global markets.
Strengths and trade-offs
Strengths
- Robust models grounded in sound economic intuition, with a 20+ year proven track record in predictive modeling.
- Rigorous analysis spanning sectors, regions, and markets, covering over 40,000 companies globally.
- Helps identify emerging opportunities and trends, supporting alpha generation and risk management processes.
- Delivers tools, content, and insights for reliable market predictions, with flexible desktop and feed access.
Trade-offs
- High cost compared to alternatives, with an annual fee of $24,240 per user, limiting accessibility for smaller firms.
- Limited direct comparisons with free or lower-cost alternatives in the sources, making value assessment difficult.
- Pricing details are not transparently listed; users must contact LSEG for a custom quote, adding friction.
- Platform may be overkill for individual investors or small firms that only need basic financial data or simpler tools.
Pricing context
Annual fee of $24,240 per user; no free tier or publicly listed pricing tiers; contact LSEG for custom quotes.
Getting started with StarMine
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Request access from LSEG
Contact LSEG sales to request a StarMine subscription. Provide your institutional details and user count. LSEG will issue credentials and a custom quote for the annual fee of $24,240 per user.
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Install desktop client
Download and install the StarMine desktop application from the LSEG portal using your provided credentials. Follow the installation wizard to set up the client on your workstation for data visualization and model access.
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Connect to data feed
Configure your connection to the StarMine data feed via FTP or the LSEG Quantitative Analytics Database. Enter your server address, username, and password to enable systematic data retrieval for quantitative workflows.
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Select and run a model
Choose a predictive model from the suite, such as the classic factor or smart money model. Set parameters like region, sector, and time range, then execute the model to generate analytics and predictive scores for your target companies.
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Export scores for analysis
Export the generated time series of analytics and predictive scores to a CSV or database. Integrate these outputs into your multifactor models or machine learning pipelines to test hypotheses and inform investment decisions.
Frequently Asked Questions
What is StarMine and who is it for?
StarMine is a quantitative analytics and predictive modeling platform owned by LSEG. It is designed for institutional investors, asset managers, and quantitative analysts who need data-driven insights to identify investment opportunities, generate alpha, and manage risk.
How much does StarMine cost per user?
StarMine has an annual fee of $24,240 per user. There is no free tier or publicly listed pricing tiers. Users must contact LSEG for custom quotes, which adds friction and limits accessibility for smaller firms.
What types of quantitative models does StarMine offer?
StarMine offers classic factor models like value, momentum, and quality, smart money models tracking insider activity, combination models blending multiple signals, and credit and sovereign risk models. These are grounded in sound economic intuition with over 20 years of track record.
How does StarMine's data coverage compare to competitors?
StarMine covers over 40,000 companies globally with broad historical data, setting a market standard in breadth and depth. Competitors like Koyfin and YCharts offer lower-cost alternatives for individuals, but StarMine provides deeper risk and credit models.
What is StarMine's clear-box design?
StarMine's clear-box design means users can see the underlying analytics and customize components, rather than relying on a black box. This transparency allows quants to test hypotheses and incorporate data directly into their workflows via desktop or feed access.
Is StarMine suitable for individual investors or small firms?
StarMine is likely overkill for individual investors or small firms needing basic financial data. Its high cost of $24,240 per user and institution-focused features make it more appropriate for large asset managers and quantitative analysts requiring sophisticated predictive models.
Alternatives
How StarMine compares
Direct head-to-head against 3 competitors. Picked by 7wData.
StarMine
- Pricing
- Annual fee of $24,240 per user; no free tier or publicly listed pricing tiers; contact LSEG for custom quotes.
- Target
- StarMine is a quantitative analytics and predictive modeling platform owned by the London Stock Exchange Group (LSEG).
- Strength
- Robust models grounded in sound economic intuition, with a 20+ year proven track record in predictive modeling.
- Watch for
- High cost compared to alternatives, with an annual fee of $24,240 per user, limiting accessibility for smaller firms.
FactSet
- Pricing
- Custom/Contact sales
- Target
- Institutional investors, asset managers, hedge funds
- Deployment
- Cloud, on-premises
- Strength
- Integrated financial data, analytics, and portfolio management in one platform
- Watch for
- High total cost of ownership; complex implementation and contract lock-in
Bloomberg Terminal
- Pricing
- $2,000/user/month
- Target
- Finance professionals, traders, analysts
- Deployment
- Cloud, dedicated terminal
- Strength
- Real-time market data, news, and analytics with unmatched breadth
- Watch for
- Very high per-user cost; steep learning curve; limited customization
MSCI
- Pricing
- Custom/Contact sales
- Target
- Asset managers, pension funds, risk managers
- Deployment
- Cloud, on-premises
- Strength
- Leading factor models and risk analytics for portfolio construction
- Watch for
- Pricing can escalate with data usage; less focus on earnings quality signals
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Sources
Reporting on this tool draws on these publicly available sources.