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This article compares two investment methodologies, emphasizing that the true moat is the underlying data wiring rather than AI models, and demonstrates how a four-layer engineering stack from real data to AI agents complements a top-down cyclical stock selection framework.
A tweet reports that Renaissance Technologies' entire trading structure has been leaked on GitHub under an Apache 2.0 license, amassing 76,800 stars.
Leopold Aschenbrenner, former OpenAI researcher, filed a 13F showing $7.46 billion in put options against major semiconductor companies, betting the AI hardware boom has peaked, while maintaining long positions in AI infrastructure stocks.
Jane Street's Head of Technology presents code that purportedly generates $13B profit, offering a template to build your own AI-powered hedge fund.
Hedgeye founder Keith McCullough releases a free 52-page ebook offering market-timing strategies and portfolio management insights based on decades of Wall Street experience and a track record of predicting major market crashes.