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Analyst Model
Precision Signals, Better Profits

Combine predictive analyst metrics, surprise predictions, and revisions to receive a powerful, data-driven stock selection signal.

This model leverages unique TrueBeats earnings surprise forecasts, ensuring you receive more accurate predictions across EPS, sales, cash flow, and industry-specific KPIs.

  • High Accuracy: TrueBeats predictions beat consensus forecasts by 60-75%
  • Proven Returns: Top-decile stocks outperform bottom-decile by 24.9% annually (Sharpe ratio of 4.17)
  • Minimal Drawdown: A modest maximum drawdown of -8.6%
  • Efficient Turnover: Daily turnover of 7.9% aligns with ideal holding periods for maximum efficiency

 

How It Works

Model customers receive both the overall signal and underlying components and features, which include:

  1. TrueBeats Technology: We identify the most accurate and timely sell side analysts to create highly accurate TrueBeats surprise predictions.
  2. Analyst Revisions: We use analyst revisions across multiple estimate, KPI, and ratings items to create a comprehensive  revisions signal.
  3. Post-Earnings Drift: We capture the value of post-earnings surprise drift.

Performance You Can Rely On
Over 2002-2024, this model has consistently delivered alpha, proving its effectiveness and surviving drawdowns with minimal risk. 

analyst-model-performance
Maximize returns with a new analyst sentiment signal powered by alternative data.

Get Actionable Insights

ExtractAlpha clients receive alternative datasets & trading signals with proven, predictive value for the KPIs you care about.

  • 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
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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.