Short Interest

Short Interest Analysis

⚠️ Data Verification — Do This Before Any Analysis

Before running any analysis, always retrieve the latest market data for the ticker:

1. Fetch current price — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data.
2. Confirm key figures — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill.
3. State your data source — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output.
4. Flag stale data explicitly — if live data is unavailable, display this warning before proceeding:

> ⚠️ Live data unavailable. The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.

Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.

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Comprehensive analysis of short selling activity, squeeze potential, cost-of-borrow dynamics, and bearish positioning signals for US-listed stocks. Combines FINRA short interest data, options market signals, and technical context to assess directional risk.

Analysis Framework

1. Short Interest Overview

Measure the current level and trend of bearish positioning:

Core Short Interest Metrics

• Short interest (shares): Total number of shares sold short and not yet covered or closed
• Short float %: Short shares / Total float (shares available for public trading)
• Short interest as % of shares outstanding: Short shares / Total shares outstanding (includes locked-up insider shares)
• Float % is the more actionable metric — tighter supply amplifies squeeze dynamics

Short Float % Thresholds

Short Float %     Interpretation
30%              Extreme — high risk environment (squeeze OR fundamental collapse)

Days to Cover (Short Interest Ratio)

• Formula: Short interest (shares) / Average daily trading volume
• Represents: how many trading days it would take all shorts to cover at normal volume
• Also called: Short Interest Ratio (SIR)

DTC Range         Interpretation
10 days          High — forced covering creates significant price pressure
>20 days          Extreme — structural squeeze conditions present

Change in Short Interest Trend

• Compare last 4 reporting periods (approximately 2 months)
• Increasing short interest: bears building positions, growing conviction against stock
• Decreasing short interest: short covering, thesis deterioration, or squeeze in progress
• Spike in short interest: new negative catalyst or activist short report
• Rapid decline in short interest: covering rally in progress, thesis proved wrong

2. Short Squeeze Potential Assessment

Squeeze Score (0-10 Composite)

Assign points based on the following conditions:

• Short float > 20%: +3 points (high short interest is the core prerequisite)
• Days to Cover > 10: +2 points (exit difficulty creates forced buying)
• Recent positive catalyst (earnings beat, product launch, partnership, FDA approval): +2 points
• Strong price momentum (price above 50-day moving average): +1 point
• Limited share supply (small float 5%): +1 point (shorts paying carrying cost = time pressure)

Squeeze Score     Probability Assessment
0-2               Low — insufficient conditions for meaningful squeeze
3-4               Moderate — partial conditions met, monitor for catalysts
5-6               High — most conditions met, squeeze possible on catalyst
7-8               Very High — strong squeeze setup, catalyst likely to trigger
9-10              Extreme — textbook squeeze conditions, high probability event

Three Requirements for High-Probability Squeeze

All three must be present simultaneously:

1. High short interest: Float% > 15% AND DTC > 7 days (supply-demand imbalance)
2. Catalyst or forced covering trigger: positive news, options expiration forcing hedging, index inclusion, or institutional accumulation
3. Limited downside floor: fundamental support (valuation floor, asset value) or strong technical support level that prevents shorts from adding

Historical Squeeze Pattern Reference

• GameStop (GME) January 2021: 140% short float + retail coordination + options gamma cascade
• Volkswagen (VW) October 2008: Porsche cornered supply, DTC extreme, short float near 13% of total shares outstanding
• Common precursors: borrow rate spikes sharply before price spike, DTC > 10 sustained for weeks, options call OI builds in OTM strikes
• Key lesson: squeezes are self-reinforcing — covering buying creates price increase which triggers more covering

3. Borrow Rate and Cost of Short

Borrow Rate Tiers

Annualized Rate    Classification    Interpretation
30%              Extreme / Recall    Near impossible to maintain at sustainable cost

Borrow Rate Impact Analysis

• At 20% annualized borrow rate: a short position costs shorts approximately 20 cents per $1 of position per year
• High borrow rates create urgency to cover — especially if stock trades sideways or up
• Borrow availability changes: easy to borrow → hard to borrow transition signals supply tightening
• Recall risk: Prime brokers can recall shares on loan with short notice, forcing mandatory covering
• Borrow rate spike (rapid increase in 1-2 weeks) is a leading indicator of pending squeeze

Implications of Borrow Dynamics

• High borrow cost + high short interest = unstable equilibrium
• Time works against short sellers in high-borrow-rate environments
• Tracking borrow rate trend over 30-60 days is more valuable than single-point reading

4. Bearish Thesis Evaluation

Understand why short sellers are positioned against the company:

Common Short Thesis Categories

• Accounting concerns: Revenue recognition irregularities, off-balance-sheet liabilities, undisclosed related-party transactions (Hindenburg Research, Muddy Waters Research methodologies)
• Business model deterioration: Loss of competitive advantage, customer churn, unit economics breakdown
• Competition threats: New entrant disrupting market, margin compression from rivals
• Regulatory or legal risk: Pending investigations, product liability, antitrust exposure
• Valuation excess: Momentum short — stock priced for perfection with no margin of safety (SPAC shorts, meme stocks)
• Structural decline: Industry secular headwinds, obsolescence risk, debt spiral

Short Seller Credibility Assessment

• Known activist short sellers (Hindenburg, Citron, Muddy Waters, Gotham City): publish detailed reports, track record publicly known
• Hedge fund shorts (13F disclosures): disclosed quarterly, often fundamental/valuation-based
• Anonymous internet posts: low credibility, but sometimes contain legitimate leads
• Evaluate track record: success rate of prior short thesis for identified short seller

Counterarguments to Short Thesis

• What data would disprove the bearish case?
• Has management addressed the concerns publicly?
• Are there independent analysts or auditors refuting the claims?
• Is there a fundamental value floor (book value, sum-of-parts) that limits downside?
• Has the stock already priced in the worst-case scenario?

5. Options Market Signal Integration

Read options positioning as a forward-looking indicator of expected moves:

Put/Call Ratio Analysis

• Put/Call open interest ratio > 1.5: heavy hedging or speculative bearish bet
• Put/Call volume ratio spike: institutional protection buying (precedes downside)
• Call/Put ratio spike: aggressive bullish buying or short hedge activity
• Compare current ratio vs. 30/60/90-day average to identify anomalies

Implied Volatility Skew

• Negative skew (normal for stocks): OTM put IV > OTM call IV — market pricing asymmetric downside
• Skew steepening: increasing fear of downside, shorts adding OTM put protection
• Skew flattening or reversal: call buying exceeds put buying — squeeze setup or bullish catalyst anticipated
• Track 25-delta put IV minus 25-delta call IV as skew measure

Large Options Activity Signals

• Large OTM put purchases (protective hedges from longs or speculative shorts)
• Heavy OTM call buying near key resistance: anticipation of short squeeze catalyst
• Gamma exposure at strikes: dealer hedging requirements create mechanical price pressure at specific levels
• Unusual options activity 1-5 days before price move: informed positioning

6. Technical Analysis of Short Positions

Short Seller Cost Basis Estimation

• Average price of shares shorted (based on short interest trend vs. stock price timeline)
• Are shorts currently at a profit (stock below average short price) or a loss (stock above)?
• Underwater shorts = trapped shorts = higher squeeze probability as losses mount

Key Price Levels for Short Positioning

• Resistance zones where shorts typically initiate positions
• Prior failed breakout levels (shorts cluster above failed resistance)
• 52-week high: shorts often add above if they believe stock is overvalued
• Volume-weighted average price of recent short interest build

Short Covering Patterns in Price Action

• Sharp V-reversal on elevated volume with no obvious news: forced covering
• Gap-up openings held and extended: short sellers unable to lean on stock
• Failure to break below support despite negative sentiment: shorts losing control
• Morning spike followed by day-long grind higher: staggered covering through session

Support Levels Affecting Covering Triggers

• Key technical support: breakdown below = shorts add, hold = shorts must cover
• 200-day moving average: institutional reference level where shorts reconsider
• Prior consolidation zones: base building = shorts squeezed out on breakout

7. Reporting Schedule and Data Lag

FINRA Short Interest Reporting Calendar

• Short interest is reported as of the 15th and last business day of each month
• Data published approximately 4-5 business days after the settlement date
• Result: up to a 2-week data lag between actual positioning and publicly available data
• Critical caveat: short interest data reflects past positioning, not current

Exchange-Reported Short Interest

• NYSE and NASDAQ publish their own short interest data on similar schedules
• Cross-reference exchange data with FINRA for completeness
• Real-time short volume (vs. short interest) available daily from FINRA and exchanges

Using Short Volume Data for Fresher Signal

• Daily short volume (available same day via FINRA Rule 4560): not equal to short interest
• Short volume / total volume ratio: measures daily bearish activity direction
• Short volume ratio > 50% sustained over multiple days: active selling pressure
• Limitation: covers only on-exchange transactions, misses OTC activity

8. Risk Considerations

Risks for Short Sellers

• Unlimited loss potential: no cap on how high a stock can rise
• Borrow recall: prime broker can force position closure on short notice
• Dividend obligation: short sellers must pay dividends to the shares they borrowed
• Regulatory restrictions: short sale restriction (SSR) rule triggers when stock falls 10% in a day, restricting short sales
• Crowded short: many shorts in same name = all exit simultaneously on negative news = violent squeeze

Risks for Long Traders Playing Squeeze

• Crowded momentum trade: late entrants face no new buyers once squeeze exhausts
• Fundamental deterioration: short thesis may be correct — stock declines post-squeeze
• Entry timing risk: squeezes can reverse violently once covering is complete
• Borrow constraints: difficulty exiting short at target because all brokers pulling borrow simultaneously
• Regulatory risk: market manipulation scrutiny for coordinated squeeze activity

Position Sizing Guidelines

• Short squeeze plays: high risk/high reward, size accordingly (1-3% of portfolio maximum)
• Risk is binary: squeeze fully materializes or fundamental thesis plays out
• Define exit criteria before entry — both upside target and stop-loss level

9. Data Sources

Short Interest Data

• FINRA Short Interest Data: finra.org/investors/short-sale-volume-data (official, free, twice-monthly)
• NYSE Short Interest Reports: NYSE-listed stocks, semi-monthly
• NASDAQ Short Interest Reports: NASDAQ-listed stocks, semi-monthly
• Shortvolume.com: Free daily short volume data by ticker

Screeners and Analytics

• Finviz: Short float % in stock screener (sortable, free)
• Market Chameleon: Short interest trend charts, borrow rate tracking
• Iborrowdesk.com: Free near-real-time borrow rate data from Interactive Brokers and TD Ameritrade

Premium Short Data

• S3 Partners: Professional-grade short analytics, real-time borrow rates, predictive short interest
• Interactive Brokers Stock Loan Availability: Borrow rate and availability for account holders
• Bloomberg Terminal: SRFD function for comprehensive short interest data

Input Formats

Format 1: Single Stock Analysis

User: /short-interest GME

Claude retrieves current short float, DTC, borrow rate, and computes Squeeze Score

Format 2: Squeeze Potential Scan

User: /short-interest --scan squeeze-potential

Claude screens for stocks meeting high Squeeze Score criteria (short float >20%, DTC >10, catalyst present)

Format 3: Sector Short Analysis

User: /short-interest --sector technology

Claude identifies most shorted technology stocks and evaluates comparative squeeze potential

Output

Provide a comprehensive short interest analysis report with the following sections:

1. Short Interest Summary

Ticker:                  [TICKER]
Short Float %:           XX.X%       (Threshold: >20% = High)
Short Interest (shares): XX,XXX,XXX
Days to Cover (DTC):     X.X days    (Threshold: >10 = Elevated)
Borrow Rate:             X.X%        (Classification: Easy/Hard/Extreme)
Short Interest Trend:    Increasing / Stable / Decreasing
Last Reporting Date:     [Date]      (Note: ~2-week lag)

2. Squeeze Score Breakdown

Component                     Condition          Points
Short float > 20%             YES / NO           X/3
DTC > 10 days                 YES / NO           X/2
Recent positive catalyst       YES / NO           X/2
Price above 50-day MA         YES / NO           X/1
Float  5%              YES / NO           X/1
                              TOTAL SCORE:       X/10

Squeeze Probability: Low / Moderate / High / Very High / Extreme

3. Short Thesis Summary

• Primary bear thesis (1-3 sentence summary of why shorts are positioned here)
• Source of short thesis (activist report, valuation, fundamental deterioration)
• Short seller credibility assessment

4. Counter-Thesis

• Key arguments that could prove shorts wrong
• Fundamental floor (book value, earnings power)
• Upcoming catalysts that could force covering

5. Options Market Context

• Put/Call ratio vs. 30-day average
• IV skew assessment (steep put skew vs. flat)
• Any unusual options activity flagged

6. Technical Setup

• Is stock above or below 50/200-day moving average?
• Key support and resistance levels
• Is price action consistent with squeeze initiation or continued decline?

7. Risk/Reward Assessment

• For long (squeeze play): upside target, stop-loss, probability-weighted expected return
• For short (bearish thesis): downside target, covering trigger, maximum loss scenario

8. Monitoring Triggers

• Short interest change threshold that would upgrade or downgrade squeeze probability
• Catalyst calendar (earnings date, product event, regulatory decision)
• Borrow rate level that signals imminent covering pressure
• Price level that would technically confirm squeeze initiation

Standard Signal Output

All analysis concludes with this standardized blo

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Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yennanliu
• Source: yennanliu/InvestSkill
• License: MIT
• Homepage: http://yennj12.js.org/InvestSkill/

Install and usage instructions live in the source repository linked above.