ShortInterestHistory.com

Methodology

ShortInterestHistory.com organizes reported short interest data by ticker and settlement date. This page explains how the data is organized across symbol pages, report-date archives, and current rankings, and how the main fields are used throughout the site.

Each symbol page focuses on one name. Each report page focuses on one settlement date. Ranking pages sort the latest available report by a small set of straightforward measures. The focus is on showing the reported figures clearly and applying the same sorting rules consistently.

What The Site Tracks

The site tracks reported short interest data for U.S. stocks and ETFs using published report files tied to specific settlement dates.

The main fields shown across the site are current short interest, prior short interest, change in shares, change percent, average daily volume, days to cover, exchange, and settlement date. Symbol pages show those fields over time. Report pages show one filing period at a time. Ranking pages sort the latest report using the same fields readers already see on the underlying pages.

Main Fields

Current short interest is the reported short position for a symbol at a given settlement date.

Prior short interest is the short position reported in the prior reporting period.

Change shares is the difference between the current reported short interest and the prior reported short interest.

Change percent is the percentage change from the prior reported short interest to the current reported short interest.

Average daily volume is the reported average trading volume used in the source data.

Days to cover compares reported short interest with average daily volume. In simple terms, it estimates how many trading days it would take, in theory, for short sellers to buy back borrowed shares using average daily volume.

Settlement date is the reporting date attached to the published short interest file.

How Ranking Pages Work

The ranking pages generally use the latest report in the archive.

Highest Short Interest is sorted by current reported short interest, highest to lowest.

Biggest Short Interest Increases is sorted by the change in reported short interest from the prior report, largest increase first.

Biggest Short Interest Decreases is sorted by the change in reported short interest from the prior report, largest decline first.

Highest Days to Cover is sorted by the latest reported days-to-cover value, subject to basic data-quality filters.

Those pages are meant to be readable reference pages, not open-ended screeners. The same numbers that appear in the tables drive the sort order.

Data Filters And Edge Cases

Some reported values need to be handled carefully.

Days-to-cover figures can become distorted when reported average daily volume is extremely low or zero. In some cases, extreme edge-case readings may be excluded from default days-to-cover rankings so the page remains more useful as a comparison tool.

The site may also apply light filtering when very small or low-liquidity names would otherwise dominate a ranking without adding much value for readers. The purpose of those filters is not to hide data. It is to keep the default ranking pages readable.

Limits Of The Data

Reported short interest is not real-time data.

It does not show intraday positioning, borrow cost, short interest as a percentage of float unless that is separately calculated, or the reason traders are short a stock. It is one market data point, and it works best when read alongside price action, trading volume, and broader company context.

Short interest also does not tell the whole story on its own. A rising figure can matter, but the size of the position, the liquidity of the stock, and the trend across multiple reports usually matter more than any single print.

Updates

The site is updated as new short interest files are added to the database. As more report dates are added, symbol histories, report archive pages, and ranking pages expand with them.

That makes the archive more useful over time. A longer history makes it easier to tell whether a move is ordinary for a stock or part of a larger shift.