Insight
April 2026
The Purple Issue 22
Bridging the Short Interest Gap: EquiLend’s Predicted Short Interest Now Live!
Market turbulence has a way of exposing what’s signal and what’s noise. Two months ago, amid heightened market volatility, EquiLend’s Predicted Short Interest went live and with multiple reporting cycles now closed, we now have our first real opportunity to evaluate how those early estimates stack up against subsequently released exchange and FINRA data.
What follows revisits a cross-section of names where Predicted Short Interest flagged meaningful changes in positioning well before they became visible to the broader market. From stressed micro-caps to rebounding cyclicals and pressured large-cap software, these examples highlight how the metric has cut through volatility surfacing crowding, conviction, and risk inflection points ahead of traditional disclosures. This is not about hindsight or calling tops and bottoms; it is about whether early visibility into positioning provided a clearer read on market dynamics when it mattered most.
Cango Inc. (CANG): Early Indication of Short Accumulation in a Distressed Name
Cango Inc. is a Shanghai-based company that has undergone multiple business model transitions in recent years. Originally focused on automotive services, the firm pivoted to Bitcoin mining in late 2024 and, in April 2026, announced plans to liquidate its Bitcoin holdings and reorient toward AI infrastructure through its EcoHash subsidiary. These strategic shifts have coincided with significant financial deterioration.
The company reported a net loss of $622 million dollars in 2025, primarily driven by impairment charges related to mining equipment and fair value losses on Bitcoin holdings. The stock is down approximately 65% year-to-date and is subject to NYSE delisting risk after trading below one dollar for more than 30 consecutive sessions. Together, these factors place the company firmly in the distressed equity category.
Against this backdrop, Predicted Short Interest estimated 5.25 million shares short on March 24th, shortly after the company’s Q4 2025 earnings call. When public short interest data was later released on April 10th for a March 31st settlement date, reported short interest was 5.21 million shares. The proximity between the predicted estimate and the disclosed figure suggests that short positioning had already reached elevated levels well before being reflected in public data. From a research standpoint, this example demonstrates that Predicted Short Interest can provide an earlier view of positioning buildup in distressed situations, where price weakness alone may not fully convey the extent of negative positioning.
SPX Technologies (SPXC): Rising Shorts in a Midcap AI Exposed Industrial
SPX Technologies represents a midcap industrial case study, highlighting how Predicted Short Interest can surface hedging activity even amid strong fundamental performance. The company focuses on HVAC and infrastructure systems, with meaningful exposure to secular growth areas such as data center cooling, pharmaceutical facilities, and industrial process solutions.
Shares of SPX Technologies have risen approximately 66% over the past year, supported by consistent double‑digit earnings and revenue growth as AI‑driven infrastructure investment has lifted demand across the sector. Despite this performance, short sellers have increasingly targeted AI-adjacent industries in recent months, reflecting a broader shift toward relative value and thematic hedging.
Reported short interest in SPX Technologies increased 37% over the latest reporting period, rising from 949,896 shares on March 13th to 1,304,624 shares on March 31st. EquiLend’s Predicted Short Interest model had already captured this increase, estimating 1.30 million shares short as of March 31st, approximately ten days before the official data became publicly available. This case illustrates how Predicted Short Interest can provide early insight into emerging hedging and positioning trends, even in stocks with strong price momentum and favorable fundamentals.
Seagate Technology (STX): Identifying Short Covering During Sustained Price Strength
Seagate Technology provides a contrasting case, illustrating how Predicted Short Interest behaves during periods of sustained price strength. The company, a major supplier of high-capacity data storage solutions, has benefited from increased demand tied to AI-related infrastructure investment. Shares are up approximately 83% year-to-date, supported by strong order visibility, constrained industry capacity, resulting in favorable pricing power.
Predicted Short Interest estimated 9.14 million shares short as of March 24th, while public data reflected a higher level, near 9.85 million shares. When exchange-reported short interest for March 31st was subsequently published, the figure had declined to 9.14 million shares, matching the earlier estimate. This alignment suggests that Predicted Short Interest was able to capture the downward trend in short positioning before it became visible through official channels. In markets characterized by gradual short covering rather than abrupt squeezes, timelier positioning data may help contextualize ongoing price trends.
Implications for Positioning Analysis
Across all three cases, EquiLend Predicted Short Interest estimates closely tracked later public short interest figures, but with earlier timing. The consistency of this alignment across disparate market environments, distressed small caps, outperforming mid-cap technology, and mega-cap software, supports the view that Predicted Short Interest can function as a credible leading indicator of positioning. As with any modeled dataset, continued validation across market cycles and stress environments will be important. However, these early examples suggest that Predicted Short Interest can meaningfully reduce the informational gap created by reporting lags in traditional short interest data.
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