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Documentation

Guides, methodology, and reference.

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Getting Started

  • Getting Started

How It Works

  • Company Vectors
  • News Impact Scores
  • Reading Your Results

Clusters & Dimensions

  • Macro Sensitivity
  • Sector Rotation
  • Business Model
  • Financial Structure
  • Growth Profile
  • Valuation & Positioning
  • Geography & Trade
  • Supply Chain Exposure
  • Market Behaviour

API Reference

  • API Keys
  • Screenings API
  • News Impact API

Core Concepts

  • Company Sensitivity Vectors
  • News Impact Scoring

Core Features

  • Daily Narrative
  • Alerts & Notifications

Integrations

  • Using the Swingtrader MCP Server

Research

  • Article Search

Screener

  • Stock Screener Overview

Reading mode

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Clusters & Dimensions

Valuation & Positioning

How expensively a company is priced relative to its earnings, how it is positioned by the market, and its price momentum.

The Valuation & Positioning cluster captures how the market has priced a company relative to its fundamentals, and where it sits in terms of momentum and market positioning. News that reprices multiples — rate decisions, risk-on/risk-off shifts, earnings surprises — engages this cluster.

Valuation Multiple

The primary valuation metric is EV/EBITDA (enterprise value divided by EBITDA), with P/E used as a fallback. A higher multiple means the market is paying more for each unit of earnings, which implies higher growth expectations are already embedded in the price. Expensive stocks are more vulnerable to disappointment and to rate-driven multiple compression.

Higher score = worse in risk-off or rate-rising environments.

Value Factor

The inverse of the valuation multiple: lower multiple equals higher value score. This dimension is specifically useful for articles where value stocks might outperform — for example, during a rotation out of growth into value, or when the economic backdrop favours cheap, cash-generative businesses over high-multiple compounders.

Higher score = better in value-rotation environments.

Short Interest Ratio

Short interest as a percentage of the float. High short interest means a significant portion of outstanding shares are held by investors who have borrowed and sold them, betting the price will fall. This dimension is currently unavailable from the underlying data source but is included in the framework for future use.

Higher score = worse in normal conditions; can become a tailwind if a short squeeze occurs.

Short Squeeze Risk

The potential for rapid upward price movement if short sellers are forced to cover their positions at the same time. This is most explosive when short interest is high relative to the float and the average days-to-cover (how many days of average volume it would take to cover all short positions) is also high. Positive news can turn a heavily-shorted stock into a significant mover.

Higher score = better as a signal of potential upside surprise on positive news.

Price Momentum

The current stock price as a percentage of the 52-week high. A company trading near its 52-week high (score close to 1.0) is in a strong technical position — institutions are holding, and the stock has been able to sustain its gains. A company far below its 52-week high may be in a downtrend or base-building phase.

Higher score = better.

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