Insights
Ortex vs S3 Partners: Short-Interest Data Compared
Alphanume Team · June 7, 2026
Ortex vs S3 Partners: Short-Interest Data Compared
Two borrow-analytics vendors compared, and the supply events behind squeezes that neither positioning gauge actually captures.
What You Are Really Comparing
Ortex and S3 Partners both estimate short interest and borrow economics from securities-lending data, more frequently than the exchange's official twice-monthly figures. The practical difference is audience and access: Ortex is positioned for a broad, accessible market, while S3 Partners is institutional. Both answer the same question, which is how crowded and expensive a short is right now.
A concrete example clarifies the choice. Suppose you are an individual trader screening for crowded shorts and want timely borrow data without an enterprise contract. Ortex gives you that lens at a reachable price, and S3's institutional tier would be overkill. Now suppose you run a desk that needs authoritative, widely cited short-interest estimates across a broad universe for risk reporting. S3 Partners is built for that, and the accessible tool is harder to defend to a committee. The measurement is similar, and budget and authority requirements decide between them.
Ortex: Strengths and Trade-offs
Ortex provides estimated short interest, days-to-cover, cost-to-borrow, and utilization through an accessible interface at a price reachable for retail and semi-professional users. Its strength is timely positioning data without an institutional contract, which makes the short-interest lens widely available. For an individual trader watching crowded names, that accessibility is the draw.
The trade-offs are that the figures are estimates and that positioning is a state rather than a catalyst. Ortex tells you a name is crowded, not what will force the move, as our guide to finding stocks to short sell with data explores.
S3 Partners: Strengths and Trade-offs
S3 Partners offers institutional-grade short-interest estimates, financing rates, and crowdedness metrics that are widely cited on professional desks. Its strength is depth and timeliness aimed at institutions, with analytics built for serious borrow analysis across a broad universe. For a desk that needs authoritative positioning data, it is a primary source.
The trade-offs are access and cost, since it is priced for institutions, and the same state-versus-catalyst limitation that applies to all positioning data. Borrow availability and cost also shape real returns, which our guide to the best brokers for short selling addresses on the execution side.
Head-to-Head
Dimension | Ortex | S3 Partners |
Audience | Retail to semi-pro | Institutional |
Access / cost | Accessible | Enterprise |
Signal type | Positioning (state) | Positioning (state) |
Update frequency | Frequent estimates | Frequent estimates |
Catalyst data | Not included | Not included |
Where Each Wins
Ortex wins for accessible, timely short positioning at an individual budget, and S3 Partners wins where institutional depth and authoritative estimates justify enterprise pricing. Both are positioning gauges, and the systematic context for using them is mapped in our guide to market data sources for systematic short-selling research.
The choice between them is mostly about budget and whether you need institutional-grade authority, since conceptually they measure the same thing.
The Layer Both Omit
Neither vendor captures the catalysts that drive many short outcomes. Short interest describes a state, and the events that force supply, offerings, shelf takedowns, and lock-up expirations, are corporate actions disclosed in filings, not borrow statistics.
Alphanume's dilution events dataset parses these financing events with accurate disclosure dates, and a point-in-time market cap dataset adds the size context that scales their impact. Paired with either positioning gauge, this catalyst layer is what anticipates the move rather than describing the crowd.
Which Should You Choose?
Choose Ortex for accessible positioning data and S3 Partners for institutional depth, based on budget and authority needs. The deeper point is that both measure a state, not a trigger. Whichever you use, add corporate-event data for the catalysts, because a complete short strategy needs the supply events that positioning data leaves out.