# Short Interest > Analyze short interest, short squeeze potential, and bearish positioning signals - Skill: `serennity007/short-interest` (Agent Skill) - Install (CLI): `npx skillmds@latest add serennity007/short-interest` - Raw SKILL.md: https://api.skillmd.com/api/skills/serennity007/short-interest/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: Serennity007 (https://skillmd.com/u/serennity007) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/serennity007/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 ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date.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. --- 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 <2% Negligible — minimal bearish conviction 2-5% Low — modest skepticism or hedging 5-10% Moderate — meaningful bearish positioning 10-20% Elevated — significant short thesis in market 20-30% High — heavy bearish conviction, squeeze potential >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 <1 day Very low — shorts can exit quickly 1-3 days Low — manageable exit risk for shorts 3-5 days Moderate — some covering friction 5-10 days Elevated — meaningful covering difficulty >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 < 50 million shares): +1 point - High borrow rate (annualized cost > 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 <1% General Collateral Easy to borrow — no friction on shorts 1-5% Easy to Borrow Low cost, ample supply available 5-15% Hard to Borrow Elevated cost, supply becoming scarce 15-30% Very Hard Significant carry cost, time pressure on shorts >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 < 50M shares YES / NO X/1 Borrow rate > 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 block: ``` ## Thesis Invalidation After delivering the analysis signal, specify what would reverse it: **If signal is BULLISH — thesis breaks if:** - Price closes below the MA200 / key support level identified in this analysis on above-average volume - short float rises above 20% AND days-to-cover increases >10 without a catalyst - Macro regime shift: Fed pivots hawkish unexpectedly, recession probability >60% **If signal is BEARISH — thesis breaks if:** - Price closes above key resistance / MA200 level with volume confirmation - short float drops below 3% AND squeeze signals activate (borrow rate >50%) - Fundamental improvement: surprise earnings beat >20% with guidance raise **Re-run this analysis when:** - [ ] Next earnings release - [ ] Price moves ±15% from current level - [ ] 60 days have elapsed - [ ] Material news event (acquisition, leadership change, regulatory decision) ╔══════════════════════════════════════════════╗ ║ INVESTMENT SIGNAL ║ ╠══════════════════════════════════════════════╣ ║ Signal: BULLISH / NEUTRAL / BEARISH ║ ║ Confidence: HIGH / MEDIUM / LOW ║ ║ Horizon: SHORT / MEDIUM / LONG-TERM ║ ║ Score: X.X / 10 ║ ╠══════════════════════════════════════════════╣ ║ Action: BUY / HOLD / SELL ║ ║ Conviction: STRONG / MODERATE / WEAK ║ ╚══════════════════════════════════════════════╝ ``` Score Guide: 8.0–10.0 Strongly Bullish | 6.0–7.9 Moderately Bullish | 4.0–5.9 Neutral | 2.0–3.9 Moderately Bearish | 0.0–1.9 Strongly Bearish Confidence: HIGH (strong data, clear signals) | MEDIUM (mixed signals) | LOW (limited data, conflicting signals) Horizon: SHORT-TERM (1 week–3 months) | MEDIUM-TERM (3 months–1 year) | LONG-TERM (1+ years)