Research notes, platform updates, and perspectives on the future of quantitative trading.
A single-stock leveraged-ETF pile-up on SK Hynix turned a real memory supercycle into a reflexive machine. The mechanical rebalancing flow it created handed institutions the other side, and the unwind ran faster than the build. Ahead of the 29 July print, a look at how crowding gets read and exploited.
Record Q2 bank profits were made in trading and underwriting, and much of the underwriting financed the AI build-out. The banks have become the financing layer of the capex cycle. We test whether credit conditions lead the turn, and find they confirm it rather than lead it.
The AI build-out tops as a wave, moving out from the GPU, and only the tip has turned. Estimates are still rising everywhere while the tape has already repriced most of the complex. Memory is inflecting up on a supply squeeze, with a 2027 clock.
Someone has to hand SpaceX $75 billion. To buy that much new stock and stay fully invested, the rest of the market has to sell $75 billion of what it owns. The closest cousins are too thin to carry it, so the bill falls on the liquid AI mega-caps and semis — and the index rotation is only the visible tip.
SpaceX’s S-1 hit the SEC on 20 May 2026. A $20 billion bridge loan forces the IPO, xAI and X have been folded in, and Starlink is paying for everything. The deal is a referendum on whether the equity market can still finance voyages into the unknown.
Six investors embark on a journey as a once-in-a-generation opportunity unfolds. A tale of vision, patience, discipline, and learning the hardest part of investing.
$397 billion in cash is not a market signal. It is the receipt for the largest missed opportunity in modern investing history.
The RBA has hiked three times in 2026 while most central banks cut or hold. Australia’s inflation is supply-driven — and rate hikes do not fix supply shocks.
The four largest hyperscalers have committed $700 billion in AI capex for 2026. We model when the cash flow constraint forces the first guidance cut — and what reprices when it does.
A guide to the neucore.ai macro page — how the macro score, market regime, sentiment index, and backtest chart work together to describe the U.S. equity backdrop.
Sharpe's arithmetic makes short-term trading negative-sum after costs — and AI does not break the math. It concentrates the winners, homogenises the losers, and grows the rake.
AI agents are democratising quantitative trading — but if everyone's agent finds the same alpha, the oldest systemic risk in markets arrives through a faster channel.
Five weeks, one developer, an end-to-end quantitative trading system. Reflections on what AI coding agents do brilliantly, where they fall short, and why human judgment still matters.