By Scalpel Team. , updated . 9 min read.

In short
Short squeeze explained: a rising price forces short sellers to buy back the shares they borrowed and sold, and their buying pushes the price higher still. You measure the fuel with three numbers: short interest (FINRA publishes it twice a month, about a week after each date), days to cover (short interest divided by average daily volume) and borrow (the fee and the shares left to short, which change live). Squeezes are rarer than social media suggests: heavily shorted stocks have on average done worse, not better, and even in GameStop the SEC found covering was a small fraction of the buying.
"Short squeeze" gets attached to almost every small cap that runs. Most of those runs are plain buying on news. A real squeeze needs a crowded short side that cannot add, a price move that hurts it, and buyers who keep coming while the shorts cover. This post explains the mechanics, what each short number means and how old it is, the GameStop numbers from the SEC's own report, and how a long-only trader can use short data without being fooled by it. Rules and data sources were checked on October 22, 2026.
A short seller borrows shares, sells them, and hopes to buy them back cheaper later. Before a broker accepts a short sale, Regulation SHO Rule 203(b)(1) requires it to have borrowed the stock, arranged to borrow it, or have "reasonable grounds to believe that the security can be borrowed": the locate. The borrowed shares cost a fee, and the short has to keep enough margin in the account as the price moves.
The short's risk is open-ended. A stock bought at $4 can only fall to zero; a stock shorted at $4 can go to $8, $12 or $20. So when the price rises sharply, shorts face margin calls, hit their stops, or simply give up, and every one of those exits is a buy order. This is how short squeezes work in a stock with a small float and a crowded short side: the buy orders arrive together.
That last step matters as much as the first four. A squeeze is a burst of forced demand, not a change in the company, and it ends where it ends: frequently at the top of the spike. The glossary entry on short squeezes has the one-line version.
Short interest is the total number of shares sold short and not yet bought back. In the US, FINRA Rule 4560 requires member firms to report their short positions twice a month:
| Step | When |
|---|---|
| Positions measured | On the 15th (or the settlement day before it) and on the last settlement day of the month |
| Firms report to FINRA | By 6 p.m. ET on the second business day after that date |
| FINRA publishes | On the seventh business day after that date |
So the newest short interest figure is at least about a week and a half old when it appears, and just before the next release it is over three weeks old. On a small cap that has traded its whole float several times since, the short position may look nothing like the published one. FINRA publishes the data for all exchange-listed and OTC stocks, free.
Two traps in the headline percentage:
Days to cover is FINRA's "number of days of average share volume it would require to buy all of the shares that were sold short", calculated as short interest divided by average daily share volume (FINRA's short interest glossary). FINRA's average is taken over the trading days between the previous settlement date and the current one.
A worked example. WXYZ has 1,200,000 shares short in the latest report, and averaged 400,000 shares a day over the period:
1,200,000 / 400,000 = 3.0 days to cover.
Now WXYZ gaps up 70% on news and trades 15 million shares by midday. Measured against today's volume, the whole short position is 1,200,000 / 15,000,000 = 0.08 of a day. That is the weakness of days to cover on small caps: it is computed on normal volume, and a stock in play trades many times its normal volume. A high reading says the short side is large relative to an ordinary day. It does not say shorts are stuck on a day when 15 million shares change hands.
Short interest and days to cover are old by the time you read them. What changes during the session is the stock loan market: how many shares are left to borrow, and what borrowing them costs.
IBKR's own video shows where TWS displays shares available to short and the borrow fee rate, the two numbers to watch during a run, and you do not need to short anything to use them.

Most stocks are cheap to borrow, which is what makes a high fee informative. In The Market for Borrowing Stock (Journal of Financial Economics, 2002), Gene D'Avolio found that 91% of the stocks lent out in his sample cost less than 1% a year to borrow, while only 9%, about 206 stocks a day, were "specials" above 1%, with a mean fee of 4.3%. A small cap paying 50% or 100% a year is in a different world from those averages: shorts are paying heavily every day they stay in.
Two related reads:
The SEC staff's Staff Report on Equity and Options Market Structure Conditions in Early 2021 is the most careful public study of a squeeze, and its numbers are worth knowing:

Then the finding that matters for every squeeze story since. Staff saw that buying by accounts with large short positions coincided with the run-up, but that "such buying was a small fraction of overall buy volume", and that prices stayed high after covering would have faded. Their conclusion: "it was the positive sentiment, not the buying-to-cover, that sustained the weeks-long price appreciation".
In other words, even the most famous squeeze of the decade was mostly a buying story. Short covering added fuel; buyers kept the fire going.
If high short interest reliably led to squeezes, buying the most shorted stocks would be a strategy. The evidence says the opposite on average. Asquith, Pathak and Ritter, in Short Interest, Institutional Ownership, and Stock Returns (Journal of Financial Economics, 2005), found that stocks with high short interest and low institutional ownership (their proxy for a scarce supply of shares to lend) underperformed by 215 basis points a month on an equally weighted basis over 1988 to 2002, though only an insignificant 39 basis points value weighted. Short sellers are often right about weak companies.
On small caps, three more things work against the squeeze story:
None of this makes squeezes imaginary. They happen, and they can be violent. It means short data is a reason to watch a stock, not a reason to buy it.
You do not need to short to use short data. As a long, the questions are: is there forced demand waiting above, and is anything going to cancel it?
| Read | Supports a squeeze | Works against it |
|---|---|---|
| Short interest | A large share of a small float | Small, or weeks old with heavy volume since |
| Days to cover | Several days on normal volume | Under a day, or trivial against today's volume |
| Borrow fee | High and rising today | Low, or falling as shorts cover |
| Shares available | None left | Plenty left |
| Dilution | No shelf, no recent offering | A 424B5 or an active ATM |
| Price action | Holding above VWAP, breaking the high on volume | Fading under VWAP on light volume |
A setup with trapped shorts still needs buyers. The trade usually comes from a push through a level shorts care about, VWAP or the high of day, with real volume on the tape, and the exit plan matters more than usual because the forced buying ends abruptly.
Scalpel is long only: every sell is capped to the shares you hold, so it cannot short. It reads the short side as information for a long trade, from free sources: FINRA short interest and days to cover in the SHORT column, IBKR's live shortable data and public stock-loan file, the Nasdaq Reg SHO threshold list and FINRA daily short volume (borrow and short squeezes guide).
On a scan row, a violet chip says how trapped the shorts are: Can't short when no shares are left to borrow, Short fee 85% when the fee is 20% a year or more, Hard to short when a locate is needed. SQZ combines supply, live borrow, relative volume, short interest, price and company size into a 0 to 100 score, and halves it when the company is selling stock (SHS OUT, SHORT and SQZ).
The intel video shows the borrow chips and the squeeze score on a scan panel:

The intel chips guide lists every chip, and long only explains why Scalpel never shorts. Its stops are watched by the app, not resting at IBKR, so they only work while Scalpel runs with a live feed. Scalpel is independent and not affiliated with or endorsed by Interactive Brokers.
Trading carries a significant risk of loss. Nothing here is financial advice.