July’s Market Extremes
The S&P 500 barely moved, but beneath the index, July produced historic moves across individual stocks, semiconductors, and overseas markets.
Leopold Aschenbrenner’s Hedge Was the Same Bet Twice
Leopold Aschenbrenner lost an estimated 67% in July even though the S&P 500 barely moved. His portfolio appeared hedged but behaved as if it carried the same AI narrative twice: long the builders and short the expected losers. When that relationship reversed, both sides lost. The exact July
Stocks Up, VIX Up?
July has historically delivered positive equity returns alongside a rising average VIX. The explanation is not that stocks and fear normally rise together. The gains tend to arrive first, while volatility reprices later.
Quiet Index, Loud Internals
The S&P 500 finished June down only 1.1%, but the calm index hid a much louder market underneath. The Mag Seven lagged, Microsoft fell 17.1%, healthcare and industrials rallied, and AI leadership moved toward the physical infrastructure layer.
Skin in the Game
Runtime was built around a simple principle: alignment should be real.
Why Options Infrastructure Is Hard to Copy
People sometimes ask a fair question: Why can't someone else copy this? Or, with AI improving so quickly, won't an AI system or future superintelligence be able to do it anyway? The answer is that intelligence is not enough by itself. Before a person, company, or
The New Moat Is the Inner Loop
When AI makes static software easy to copy, durable advantage moves to systems that learn from proprietary context, action, measurement, and improvement.
The Rally Came Before the All-Clear Signal
A market lesson from April 2026: rallies often begin before fear clears, reinforcing the value of systematic participation through uncertainty.
VIX, Gold, and the Geopolitical Premium
A research note on VIX, gold, and geopolitical risk, and why portfolio design must account for how uncertainty transmits through markets.
Runtime Fund Launch: Our Core Investment Thesis
Runtime Fund's core investment thesis: long-term compounding is a portfolio engineering problem, shaped by systems, risk discipline, and compute.