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S3 Partners Alternatives for Short-Selling Data

Alphanume Team · June 5, 2026

S3 Partners Alternatives for Short-Selling Data

Institutional borrow analytics are powerful and priced for institutions. Here is the accessible, event-driven path to the same outcomes.

What S3 Partners Does Well

S3 Partners is known for institutional-grade short-interest and securities-lending analytics, including its own real-time short-interest estimates, financing rates, and crowdedness metrics. The data is widely cited and built for professional desks that need a detailed, timely view of short positioning and borrow economics across a broad universe.

The product is aimed at institutional users, with the depth and the pricing that implies. For a desk that needs authoritative borrow analytics, it is a serious tool, and for an independent researcher the access model and cost are the friction.

Why Researchers Look for Alternatives

The first reason is access and cost. Institutional borrow analytics are priced for institutions, and an independent researcher or small fund may not be able to justify the contract. The second reason is the same conceptual point that applies to all positioning data: short interest is a state, not a catalyst, and many tradeable short setups are driven by supply events instead.

The third reason is reproducibility and integration. Systematic work needs point-in-time data it can rebuild and combine with prices, universe membership, and corporate events, which an analytics terminal does not package for a backtest.

A concrete example: S3's crowdedness metrics can flag a heavily shorted name with expensive borrow. Whether that name moves often depends on an upcoming offering or lock-up expiration, a corporate-action catalyst that sits outside borrow analytics and has to be sourced separately.

The Alternatives

The accessible, reproducible path is built on data sources mapped in our guide to market data sources for systematic short-selling research, with the practical workflow in how to find stocks to short sell using data. Because borrow availability and cost shape real returns, our guide to the best brokers for short selling covers the execution side.

The shift is from institutional positioning analytics toward the forced-supply events that drive short outcomes, combined with the point-in-time market data needed to test them at a budget an independent researcher can sustain.

Comparison Table

Source

Primary Signal

Access

Backtest-Ready

S3 Partners

Institutional borrow analytics

Enterprise

Partial

Corporate-event data

Offerings, lock-ups, dilution

Accessible

Yes

Core market data

Prices, universe

Accessible

Yes

Where S3 Partners Still Wins

For an institutional desk that needs authoritative, timely borrow analytics across a broad universe, S3 Partners is a strong tool, and its real-time short-interest estimates are widely relied upon for good reason. As a positioning and financing-cost gauge at institutional depth, it does a job the accessible alternatives do not fully replicate.

The boundary is access and the difference between a state and a catalyst. An independent researcher can approximate the positioning lens more cheaply and should pair it with the event data that actually drives short moves. The institutional analytics are valuable where the budget and use case support them.

The Catalyst Layer Behind Short Moves

The events that force supply or demand, offerings, shelf takedowns, and lock-up expirations, are disclosed in filings and are the catalysts behind many short outcomes. Turning them into dated, machine-readable signals is what lets a model anticipate the move.

Alphanume's dilution events dataset parses these financing events from SEC filings with accurate disclosure dates, and a point-in-time market cap dataset adds the size context that scales their impact. This catalyst layer is accessible, reproducible, and complementary to any positioning gauge.

How to Choose

Choose S3 Partners when you are an institution that needs authoritative borrow analytics and the budget supports it. Choose the accessible, event-driven path when you are an independent researcher: approximate the positioning lens, then build the strategy on corporate-event catalysts and point-in-time market data. Positioning data describes a state, financing events supply the trigger, and a complete short strategy needs both.