Short Interest Decreases — Positions Being Covered
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What these columns measure
- Short Interest Change
- How far the reported short position moved between the two most recent FINRA settlement files. The share counts under each percentage are the two positions it was computed from.
- Split in period
- A share split that took effect between the two settlement dates puts the two counts on different share bases, so the percentage measures the rebase rather than any trading. Those rows are struck through and marked, never adjusted, because a heuristic correction here is a number nobody can verify.
- SI % of Float*
- Shares sold short measured against the shares actually available to trade. Where no reliable float exists the position is measured against shares outstanding instead and the row says "of outstanding", because the same position reads lower on the wider denominator.
- Days to Cover
- Shares sold short divided by average daily volume: how many days of ordinary trading buying the position back would take. FINRA floors the value at 1.00 whenever average daily volume already exceeds the position, so those rows read "1 day or less" rather than stating a precision the source withheld.
- Why a cell shows a dash
- A percentage is withheld rather than guessed whenever its denominator cannot be trusted: the security class publishes no float, the share-count sources disagree, a split leaves the basis uncertain, the settlement file reports no position, or the computed percentage failed the reliability check. The raw share counts stay visible in every one of those cases.
What declining short interest means
A smaller reported short position means shares that were borrowed and sold have been bought back, or that the share base underneath the count changed. The first reading is short covering, which itself adds buying pressure; the second is arithmetic, and a reverse split or a symbol leaving the settlement file can produce a fall nobody traded.
The rows here are the ones whose position fell fastest between the two most recent FINRA settlement files. Check the share counts beside each percentage and whether the row is marked as split-affected before reading a decrease as covering, and remember that covering says nothing about whether the short was closing at a profit or a loss.
Short Squeeze Potential:
- Squeeze Mechanics: When shorts cover rapidly, their buying adds upward pressure to the stock. If this coincides with positive news or strong demand, prices can spike dramatically as remaining shorts are forced to cover at increasingly higher prices.
- Volume Confirmation: Declining short interest accompanied by above-average volume is a stronger signal than quiet short covering. Volume confirms active participation rather than gradual position unwinding.
- Price Action Context: If short interest is declining while the stock price is rising, it confirms a bullish trend. If short interest drops while price is flat, shorts may simply be taking profits rather than signaling a trend change.
- Catalyst-Driven Covering: Earnings beats, FDA approvals, partnership announcements, or analyst upgrades can trigger rapid short covering cascades, especially in stocks with high short interest ratios.
How to Use This Data:
Stocks on this page show the largest percentage decreases in short interest between FINRA reporting periods. Consider these approaches:
- Look for stocks where declining short interest confirms a price uptrend — this suggests bears are capitulating
- Watch for high-short-interest stocks where covering has just begun — the remaining shorts may be forced out next
- Correlate short covering with fundamental improvements such as revenue growth, margin expansion, or new contracts
- Be cautious of stocks where short interest declines after a sharp price drop — shorts may be taking profits, not signaling a bottom
Important Considerations:
Declining short interest does not guarantee price appreciation. Shorts may cover for many reasons including risk management, portfolio rebalancing, or reaching profit targets on positions that already worked. The most actionable signals come when declining short interest aligns with improving fundamentals and positive technical patterns. Always conduct thorough research before making investment decisions based on short interest data.
Frequently Asked Questions
Q Which stocks had the biggest short interest decrease this period?
MUA leads this ranking, followed by EPOW and AVAT. The ranking measures the change in reported short positions between two consecutive FINRA settlement files, so it reflects positions that were open on those two dates rather than trading that happened in between. The figures on this page come from the settlement dated Sep 15, 2026.
Q How often is short interest data updated?
FINRA collects short positions twice a month, on the settlement dates around mid-month and month-end, and publishes each file about seven business days later, on dates it announces a year ahead. That gap is why this page states its settlement date and the age of the figures: a position can have changed substantially before the next file confirms it.
Q What do short interest as a percentage of float and days to cover actually mean?
Short interest as a percentage of float is the shorted position measured against the shares actually available to trade, so it answers how crowded the short side is. Days to cover divides that position by average daily volume, answering how long ordinary trading would take to buy it back. Where no reliable float exists, the percentage is measured against shares outstanding instead and the row says so, because the same position reads lower on the wider denominator.
Q What does a large drop in short interest actually tell you?
Less than it appears. A fall in the reported position is consistent with shorts buying back, which is the reading most people reach for, but it is equally consistent with a share count that changed underneath the figure: a reverse split rebases the position without anyone trading, and a symbol leaving the settlement file entirely can read as a collapse to zero. Even genuine covering says nothing about why, since a short may be closing at a profit, at a loss, or simply rebalancing. Check the raw share counts beside the percentage and whether a corporate action landed between the two settlement dates before treating a decrease as a signal.
Q How do traders screen for short squeeze candidates?
A squeeze needs three things together, and no single column identifies one. First, a crowded position: a high percentage of float, not merely a large share count. Second, difficulty exiting: a high days-to-cover figure, meaning ordinary volume cannot absorb the buying that covering requires. Third, a catalyst that forces the timing, such as an earnings surprise, a regulatory decision or a financing announcement. Screening on any one of the three in isolation produces mostly false positives. Rows marked as split-affected belong in none of it: a split between the two settlement dates rebases the share count, so their change reflects arithmetic rather than anyone trading, and they are marked precisely so they can be set aside.
Q Does high short interest mean a stock will fall?
No. Short interest records positioning, not outcomes. Institutions short for hedging as well as for directional bets, so a large position may be one leg of a trade rather than a view on the company. Heavily shorted stocks have both fallen and risen sharply; the data tells you who is positioned how, and nothing about who is right.