THE THINKING
Most systems are designed to act. I design systems that know when not to.
The hard part isn't finding signals — markets, data streams, and indicators produce them constantly. The hard part is judgment: knowing which signals matter, when conditions are actually aligned, and when the most intelligent move is to do nothing.
Survival beats activity. Restraint beats reaction. This applies to trading, to building software, to running businesses.
The hard part isn't finding signals — markets, data streams, and indicators produce them constantly. The hard part is judgment: knowing which signals matter, when conditions are actually aligned, and when the most intelligent move is to do nothing.
Survival beats activity. Restraint beats reaction. This applies to trading, to building software, to running businesses.
VECTORFUSION
VectorFusion is the clearest expression of this thinking.
It's a decision system for markets — not designed to find more signals, but to filter out noise and wait for genuine alignment. It studies confluence across technical, macro, and behavioral data, then determines whether conditions warrant action or patience.
Most trading tools tell you when to enter. VectorFusion tells you when not to. It's an ongoing experiment in signal intelligence and deliberate inaction under uncertainty.
vectorfusion.io
It's a decision system for markets — not designed to find more signals, but to filter out noise and wait for genuine alignment. It studies confluence across technical, macro, and behavioral data, then determines whether conditions warrant action or patience.
Most trading tools tell you when to enter. VectorFusion tells you when not to. It's an ongoing experiment in signal intelligence and deliberate inaction under uncertainty.
vectorfusion.io
ELSEWHERE
I apply this same lens across other domains:
Building software systems that solve constrained, real problems without over-engineering. Studying long-term compounding strategies where patience is the primary edge. Automating decisions in businesses where the goal is predictable growth, not constant pivoting.
The method stays consistent: design for survival first, optimize for activity never.
Building software systems that solve constrained, real problems without over-engineering. Studying long-term compounding strategies where patience is the primary edge. Automating decisions in businesses where the goal is predictable growth, not constant pivoting.
The method stays consistent: design for survival first, optimize for activity never.