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Nvidia’s board member recently sold $300 million of stock, a rare move that sent ripples through the market. For quantitative traders, such insider activity is a high‑impact data point that can be incorporated into predictive models, but doing so correctly requires careful handling of high‑dimensional information and regularisation techniques. This article explains how to translate insider‑trading alerts into robust signals using the tools taught in modern big‑data finance courses. 1. Why Insider Transactions Matter Insider sales are often interpreted as a bearish signal, but the relationship is far from deterministic. A board member who has held shares since 2008 may sell for liquidity, tax planning, or diversification, none of which reflect...