Analytics

StarMine Value Momentum Model

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  1. Overview
  2. Features & benefits
  3. How it works
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An overview of StarMine Value Momentum Model


StarMine Value Momentum Model (Val-Mo) takes advantage of the valuable and complementary information in value and momentum signals. StarMine Val-Mo uniquely captures these signals through a potent blend of four of StarMine’s proven stock selection models.

Value signals differentiate stocks that are cheap and those that are overpriced. Value is captured via the StarMine Intrinsic Valuation (IV) and Relative Valuation (RV) models.

Momentum signals acknowledge the tendency of past trends to continue into the future. Momentum is captured via the StarMine Analyst Revisions Model (ARM) and Price Momentum (Price Mo) models.

By combining value and momentum, StarMine Val-Mo identifies cheap stocks that are poised for rebound and overpriced stocks that are likely to experience reversion. The combination differentiates between “value traps” and stocks that are truly undervalued and gaining favor with analysts and investors.

Key Facts 

  • Geographical coverage
    Global
  • History
    From 1998
  • Data format
    CSV
    JSON
    Python
    SQL
    Text
    User Interface
    XML
  • Delivery mechanism
    API
    Cloud
    Deployed/Onsite Servers
    Desktop
    Excel
    FTP
    SFTP
  • Data frequency
    Daily

Features & Benefits

What you get with StarMine Value Momentum Model

  • StarMine Val-Mo combines our improved growth factors, robust value signals, and potent momentum signals into one exceptionally powerful model.
  • StarMine Val-Mo uniquely captures signals through a potent blend of four of StarMine's proven stock selection models: RV, IV, ARM, and Price Mo.

RELEVANT USE CASES

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How it works

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

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