Explore this novel dataset showing actionable insights
Why Review this Research?
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Proven 13% annualized long-short Returns
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Data-driven insights from 2017–2025
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Ideal for institutional quants, hedge funds, and asset managers
What's Inside?
- How “Excess Attention” signals future returns
- Robust backtest results across market caps
- Factor independence analysis
- Practical applications for quantitative strategies
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ExtractAlpha Provides Actionable Insights
- Unique, accurate, and reliable data. Source data is cleaned, validated and ready to use
- Expertise in NLP and AI applied to dataset development
- Deep customer success guidance and advice
- Winner: Best Alternative Data Provider 2022 - 2025
Built by Quants for Quants
Founded in 2013 by Vinesh Jha, the quantitative lead who helped found and develop StarMine, former prop trader at Merrill Lynch and Morgan Stanley, former executive director at Morgan Stanley PDT, patent holder, and published author in quantitative finance.
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Why ExtractAlpha?
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What You Get
You’ll receive institutional grade data feeds and predictive models.
How It Works
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