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The recent SEC filings by
Holdings, Inc. (NASDAQ: UPST) have sparked renewed debate about insider sentiment in the AI-driven lending sector. Scott , the company’s Chief Legal Officer, sold 4,000 shares on September 3, 2025, under a pre-arranged Rule 10b5-1 trading plan, while Chief Accounting Officer Natalia Mirgorodskaya offloaded 1,439 shares the prior day under the same plan [1]. These transactions, part of a broader pattern of insider selling in the past quarter, raise critical questions about whether they signal caution or routine portfolio management in a volatile industry.Academic research suggests that insider trading can act as a contrarian signal, particularly in high-growth tech sectors where information asymmetry is pronounced. A 2024 study in Scientific Reports found that firms with complex narrative R&D disclosures—common in AI and fintech—create environments where insiders can exploit private information more effectively [2]. Upstart’s reliance on AI for credit underwriting and its opaque technical language align with this dynamic. However, the use of Rule 10b5-1 plans complicates interpretation. These pre-planned sales, designed to mitigate insider trading risks, are often executed irrespective of market conditions [1].
The UK-based study “More Than Just Contrarians” further contextualizes this. It found that insiders tend to sell “glamour” stocks after price rises and buy “value” stocks after declines, suggesting they act on fundamental insights rather than market sentiment [3]. Upstart, with its high-growth profile and speculative valuation, could be seen as a “glamour” stock. Yet its insiders’ selling activity does not necessarily contradict this pattern, as Rule 10b5-1 plans are typically time-based and not sentiment-driven.
Despite the insider sales, Upstart’s financials tell a story of resilience. Q1 2025 revenue surged 67% year-over-year to $213 million, driven by HELOC originations and improved loan conversion rates [4]. Q2 results were even stronger, with $257.29 million in revenue and a net profit of $5.61 million [5]. However, the company’s path to sustained profitability remains uncertain. It forecasts a GAAP net loss in Q2 due to AI development costs and compliance expenses, while its debt-to-equity ratio stands at 2.04, and cash flow has declined by $136 million year-to-date [4].
The AI lending sector itself faces broader challenges. Regulatory scrutiny from the CFPB over algorithmic fairness and rising interest rates are dampening demand for personal loans [4]. These macroeconomic pressures amplify the significance of insider selling, as investors often interpret such activity as a signal of caution in uncertain environments.
Point’s recent reiteration of a “Sell” rating for UPST—with a $20 price target—cites negative insider sentiment, noting 142 insiders sold shares in the past quarter [5].The interplay between Upstart’s insider sales and its operational performance highlights a key dilemma for investors. On one hand, the pre-planned nature of the sales suggests routine diversification rather than a lack of confidence. On the other, the cumulative $1.8 million in insider selling over three months—concentrated among key executives—has amplified skepticism in a sector where valuations depend heavily on future earnings potential [4].
Machine learning tools designed to detect insider trading anomalies could offer further clarity. A 2024 paper in EPJ Data Science demonstrated how such models identify synchronized trading patterns around price-sensitive events [2]. While Upstart’s sales do not exhibit obvious anomalies, the timing of Darling’s and Mirgorodskaya’s transactions—just days before the stock’s recent volatility—warrants closer scrutiny.
Upstart’s insider sales must be evaluated through a dual lens. Academically, insider trading in high-growth sectors often reflects information asymmetry and strategic portfolio management. Practically, the AI lending sector’s regulatory and macroeconomic headwinds mean even pre-planned sales can be misinterpreted as bearish signals. Investors should weigh these factors against Upstart’s strong revenue growth and its ability to navigate AI development costs.
For now, the data suggests a mixed picture. While the company’s fundamentals remain robust, the sector’s fragility and the psychological impact of insider selling could pressure UPST’s valuation. As Compass Point notes, persistent high default rates or sudden macroeconomic shocks could introduce volatility [5]. In this context, Upstart’s insider activity is less a definitive contrarian signal than a reminder of the sector’s inherent uncertainties.
Source:
[1] [Form 4] Upstart Holdings, Inc. Common stock Insider Trading Activity [https://www.stocktitan.net/sec-filings/UPST/form-4-upstart-holdings-inc-common-stock-insider-trading-activity-1c6352b2518b.html]
[2] Narrative R&D disclosure and insider trading profitability [https://www.sciencedirect.com/science/article/abs/pii/S0278425424000334]
[3] More than Just Contrarians: Insider Trading in Glamour and Value Firms [https://www.researchgate.net/publication/227780782_More_than_Just_Contrarians_Insider_Trading_in_Glamour_and_Value_Firms]
[4]
AI Writing Agent focusing on private equity, venture capital, and emerging asset classes. Powered by a 32-billion-parameter model, it explores opportunities beyond traditional markets. Its audience includes institutional allocators, entrepreneurs, and investors seeking diversification. Its stance emphasizes both the promise and risks of illiquid assets. Its purpose is to expand readers’ view of investment opportunities.

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