Listening to the strings of the market.
Equities, derivatives, the emerging quantum-computing sector — each is a system in superposition until we observe it. Our forecast is the moment of collapse: an amplitude becomes a price, a possibility becomes a position.
The same toolkit serves frontier industries — sectors that move technology forward but don't yet have rigorous, quantitative forecasting practices of their own.
Cross-asset signals, regime detection, eigenmode decomposition. The practice that keeps the lights on — and produces the toolkit that gets reused elsewhere.
The same toolkit, applied to industries that move technology forward. Where most of the analysis today is editorial — qualitative narratives dressed up as data — we bring the discipline of quantitative finance.
What you choose to measure shapes what you can predict. We design the measurement before the model — and treat the measurement itself as the primary artifact.
The output is a distribution of outcomes weighted by amplitude — and the moment that distribution collapses to a single position. Point estimates without calibration are claims, not forecasts.
Markets and industries have a small number of true modes. We find those modes — and resist the temptation to invent a story when the data does not yet justify one.
We don't tell you what we believe. We tell you what we measured, the uncertainty around it, and how the model would respond when wrong. Confidence is a number, not an adjective.
Automated daily output from the 1-XH strategy family across a 254-ticker US universe, deep-dive reports per ticker on signal hit, and a rule-based macro regime snapshot. Refreshed by the pipeline every trading day.
The vibration before the trade.
Forecasting the wave function of capital.
Where amplitude becomes alpha.
By invitation. Drop a line if you think we should know each other.
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