Short Squeeze Candidates This Week
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising priceranking ·
2026-10-08 · 12×4
The screened names ranked by short interest against shares outstanding (not float)table ·
2026-10-08 · 10×5
Every past screened name, by what it did over the next 30 daysranking ·
2026-10-08 · 6×3
From the whole settlement file down to the screened list, one rule at a timeranking ·
2026-10-08 · 4×2
Every input behind this screen, and how many days old it isseries ·
2026-10-08 · 3×3
Liquid names at 5+ and 10+ days to cover, settlement by settlementseries ·
2026-10-08 · 12×4
Most Shorted Stocks Right Now, Measured
The receipts: universe size, filter bite, median crowding, and list churn at the latest printscalar ·
2026-10-08 · 1×522,593
Largest short positions by shares: latest settlement, liquid namesranking ·
2026-10-08 · 10×4
Crowding leaders vs. their own price: about one month of sessionsseries ·
2026-10-08 · 5×5
GME through the January 2021 squeeze: the same three columns, settlement by settlementseries ·
2026-10-08 · 10×4
Today's top-3 crowding leaders, traced back eight settlementsseries ·
2026-10-08 · 8×4
Biggest days-to-cover increases, latest settlement vs. the prior printranking ·
2026-10-08 · 8×4
Highest days to cover among liquid names: latest settlement on filetable ·
2026-10-08 · 10×5
Why Short Interest Data Is Always Two Weeks Old
The pipeline lag in one row: plus the bulk backfill these figures deliberately excludescalar ·
2026-10-04 · 1×613
Every incrementally-delivered settlement: measured on one date, on file days laterseries ·
2026-10-04 · 13×3
GME, winter 2020-21: each short interest print and the price move before it went public (as-traded prices)table ·
2026-10-04 · 6×5
GME days to cover: as reported in the file, and recomputed on the volume that traded while the print was pendingscalar ·
2026-10-04 · 1×839.1
The current state of the cycle: the newest print on file, and the one still in the pipelinescalar ·
2026-10-04 · 1×622,593
The blind window: what five stocks did between the settlement date and the day its short interest was publishedtable ·
2026-10-04 · 5×6
When Is Short Interest Released?
The short interest release schedule: recent FINRA settlement dates and names reportedseries ·
2026-10-04 · 16×2
Measured publication lag: settlement date vs the day the file first arrived hereseries ·
2026-10-04 · 13×3
The publication lag in one row: fastest, median and slowest across incrementally-delivered settlementsscalar ·
2026-10-04 · 1×413
Day-of-month and the gap between consecutive settlement dates: the twice-monthly cadenceseries ·
2026-10-04 · 16×3
The current state of the release cycle: the newest print on file and the settlement still pendingscalar ·
2026-10-04 · 1×615
What Is FINRA Short Interest? Days to Cover
TSLA short interest vs. average daily volume, bi-monthly (last 2 years)series ·
2026-10-04 · 47×3
Short interest reporting dates: recent settlements, weekday, coverage and publication lagseries ·
2026-10-04 · 9×5
How liquid US stocks distribute by short interest as a percent of shares outstandingranking ·
2026-10-04 · 5×4
The latest FINRA short interest file: one snapshot of the whole marketscalar ·
2026-10-04 · 1×422,593
GameStop, Nov 2020 – Mar 2021: short interest, days to cover and the closing price at each settlementseries ·
2026-10-04 · 10×4
Days to cover across all liquid US tickers, latest settlement (min 1M shares/day)scalar ·
2026-10-04 · 1×62,642
Six household names at the latest settlement: shares short, percent of shares outstanding, days to covertable ·
2026-10-04 · 6×6
Short Interest vs Short Volume: The Difference
Data points per dataset: AAPL, last 60 daysranking ·
2026-10-04 · 2×2
Highest days to cover, latest settlement date (min 1M shares/day traded)ranking ·
2026-10-04 · 10×3
AAPL daily short volume ratio (last ~60 days)series ·
2026-10-04 · 32×2
AAPL short interest vs. average daily volume, bi-monthly (last 2 years)series ·
2026-10-04 · 47×3
AAPL days to cover at each settlement date (last 2 years)series ·
2026-10-04 · 47×3
What Is a Short Squeeze? GameStop, Measured
Four January 2021 squeezes: price multiple and short interest before and after (as-traded prices)table ·
2026-09-26 · 4×6
GME weekly price range and shares traded, January through mid-February 2021 (as-traded prices)table ·
2026-09-26 · 7×5
GME 2021, one row: January low, late-January peak, February trough, March rebound (as-traded prices)scalar ·
2026-09-26 · 1×717.05
GME short interest by settlement date, November 2020 through March 2021ranking ·
2026-09-26 · 10×3
GME options volume by week: calls vs. puts and total premium, January 2021table ·
2026-09-26 · 5×5
Highest days to cover among liquid names: latest settlement on filetable ·
2026-09-26 · 10×5
Days to cover across liquid names: every ticker averaging 5M+ shares/day, latest settlement on filescalar ·
2026-09-26 · 1×6692
Highest Days to Cover Stocks Right Now
The receipts: file size, liquid names, thin names, and the liquid medianscalar ·
2026-09-26 · 1×522,593
Highest days to cover among liquid names: 5M average-volume floorranking ·
2026-09-26 · 12×4
Today's liquid top-3 days-to-cover names, traced back eight settlementsseries ·
2026-09-26 · 8×4
Highest days to cover, latest settlement: 500k average-volume floortable ·
2026-09-26 · 12×5
Days to cover by liquidity band: median stays low, the extremes live in thin namesranking ·
2026-09-26 · 5×4
Biggest Short Squeezes in History, Ranked
Peak multiple: highest print divided by the last close before the squeezeranking ·
2026-09-12 · 5×4
Market value swing: capitalization before the squeeze and at the peak, billionstable ·
2026-09-12 · 2×5
Documented short-seller losses, billions, as estimated at the timetable ·
2026-09-12 · 3×5
What Is Days to Cover? Short Interest Ratio
Every settlement since March 2026: and how long it took to arriveseries ·
2026-07-26 · 8×6
GME days to cover, settlement by settlement: June 2020 through the January 29, 2021 squeeze printseries ·
2026-07-26 · 15×5
Days to cover, four familiar names: settlement of June 30, 2026ranking ·
2026-07-26 · 4×4
Days to cover across liquid names (5M+ shares/day ADV): settlement of June 30, 2026ranking ·
2026-07-26 · 5×2
Two crowding measures, six names: short interest as % of shares outstanding vs. days to covertable ·
2026-07-26 · 6×5
Highest days to cover among liquid names (5M+ shares/day ADV): settlement of June 30, 2026ranking ·
2026-07-26 · 12×4
Days to cover by trading-volume tier: every name in the June 30, 2026 settlementtable ·
2026-07-26 · 4×7
FINRA Short Interest Data, Explained
Daily short-volume file coverage: the two documented truncation days vs their neighborsranking ·
2026-07-26 · 6×2
Percent of reported volume marked short: five large caps on an ordinary day (July 10, 2026)table ·
2026-07-26 · 5×6
History depth of both FINRA short-sale datasets in this warehousescalar ·
2026-07-26 · 1×4206
Every 2026 settlement date on file, with the securities each print coversseries ·
2026-07-26 · 13×3
Settlement dates per year in the short interest file, 2018–2026ranking ·
2026-07-26 · 9×2
AAPL in the short interest file: the five most recent settlement printstable ·
2026-07-26 · 5×5
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising price
Squeeze-shaped mechanics: crowded shorts among liquid names, with a rising price
| ticker | days_to_cover | shares_short_m | return_5d_pct |
|---|---|---|---|
| CNQ | 22.1 | 182.9 | 2 |
| IBRX | 15.9 | 125.4 | 10 |
| RXRX | 12.6 | 178.7 | 15.4 |
| URG | 11.4 | 57.5 | 0.9 |
| WIT | 10.8 | 103.6 | 3.4 |
| QS | 10.5 | 97.8 | 1.4 |
| CVNA | 10.2 | 62.2 | 0.4 |
| RUN | 10.1 | 71.1 | 0.4 |
| NVAX | 9.3 | 49.9 | 4.5 |
| CVE | 9 | 59.6 | 0.8 |
| UUUU | 8.9 | 55.7 | 2.4 |
| KDP | 8.9 | 79 | 0.3 |
the exact SQL behind every number
WITH latest AS (
SELECT max(settlement_date) AS d FROM global_markets.stocks_short_interest
),
sessions AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= now() - INTERVAL 20 DAY
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) < 960
GROUP BY session
HAVING count() >= 380
ORDER BY session DESC
LIMIT 6
),
crowded AS (
SELECT ticker, days_to_cover, short_interest
FROM global_markets.stocks_short_interest
WHERE settlement_date = (SELECT d FROM latest)
AND avg_daily_volume >= 5000000
AND days_to_cover >= 5
AND ticker NOT IN ('SPCX')
AND ticker NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
WHERE execution_date BETWEEN today() - 60 AND today())
),
tape AS (
SELECT ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS session,
argMax(close, window_start) AS rth_close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN (SELECT ticker FROM crowded)
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT session FROM sessions)
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) < 960
GROUP BY ticker, session
),
moves AS (
SELECT ticker,
round((argMax(rth_close, session) / argMin(rth_close, session) - 1) * 100, 1) AS return_5d_pct
FROM tape
GROUP BY ticker
HAVING count() = 6 AND return_5d_pct > 0
)
SELECT c.ticker AS ticker,
round(c.days_to_cover, 1) AS days_to_cover,
round(c.short_interest / 1e6, 1) AS shares_short_m,
m.return_5d_pct AS return_5d_pct
FROM crowded c
INNER JOIN moves m ON m.ticker = c.ticker
ORDER BY c.days_to_cover DESC, c.ticker
LIMIT 12
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