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Short Interest Analysis

Compute a 0–10 squeeze score for US-listed stocks using short interest and options signals.

3|Updated May 9, 2026
Search Tags:#technical analysis#FINRA#short interest#borrow rate#investment risk#squeeze score#options signal
One-click install
npx skills add https://github.com/severin-ye/OpenStock--Analyst --skill short-interest-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Short Interest Analysis
Source: https://github.com/severin-ye/OpenStock--Analyst/tree/main/src/investskill/plugins/us-stock-analysis/skills/short-interest
Command: npx skills add https://github.com/severin-ye/OpenStock--Analyst --skill short-interest-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you evaluate whether a heavily shorted stock has the positioning and conditions that make a short squeeze more likely, and it clarifies the underlying bearish thesis signals instead of relying on sentiment.

Core Features & Use Cases

  • Short positioning diagnosis: Interprets short float, short interest levels, and days to cover to measure bearish conviction and exit friction.
  • Squeeze potential scoring: Uses a composite score driven by short float, days to cover, borrow-rate pressure, catalysts, and technical context to estimate likelihood.
  • Bear/base case framing: Summarizes likely short theses, counters, and options positioning (put/call, skew, and unusual activity) to contextualize the directional risk.

Quick Start

Use the short-interest skill to analyze ticker GME and produce a full report including squeeze score, borrow-rate implications, options context, and technical triggers.

Frequently Asked Questions about Short Interest Analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate short squeeze risk for a specific stock ticker?▼

Short squeeze risk is calculated by analyzing short float, days to cover, borrow rate pressure, options signals, and technical context to generate a 0–10 composite squeeze score for a US-listed stock.

What short interest data is needed to diagnose bearish positioning?▼

Short float, short interest levels, and days to cover are needed to diagnose bearish positioning, measuring bearish conviction and exit friction while accounting for FINRA short interest reporting lag.

How does borrow rate affect short squeeze potential?▼

Borrow rate affects short squeeze potential by quantifying the cost of maintaining short positions; higher borrow-cost tiers indicate greater exit friction and elevate the composite squeeze score.

Can I screen multiple stocks for squeeze potential across a sector?▼

Yes, you can screen multiple stocks for squeeze potential using comparative sector short-position analysis and squeeze-potential screening scans to evaluate squeeze likelihood across tickers for trading workflows.

What options signals indicate a short squeeze setup?▼

Options signals indicating a short squeeze setup include put/call ratios, options skew, and unusual activity, which contextualize directional risk and validate the bearish thesis framing.

What are the limitations of using FINRA short interest data for squeeze analysis?▼

The primary limitation is the FINRA short interest reporting lag, which delays short positioning data and requires integrating real-time borrow-rate pressure and technical triggers to maintain accurate squeeze scores.

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