Quantitative trading research
Edge isn't designed.
It's selected.
You've built conviction from years in the market. We put it through natural selection. Sometimes it survives. Sometimes it doesn't. You'll know either way.
Our process
Define the question.
Evolutionary search finds what survives.
Every signal in your data can be transformed, lagged, and combined with every other. You tested the ones that made sense to you. The algorithm tests the rest.
The mechanism is borrowed from biology. Signals compete like traits in a population - the fittest survive, pass their characteristics to the next generation, and mutate. The weak ones die off. No researcher picking winners. Just the data.
What survives isn't what you'd choose by hand. It's what the data couldn't kill.
Your thesis
You have a thesis. We make it testable.
You've built intuition from watching markets for years. We translate it into something measurable and test it against every condition in the data.
The right question
Before we optimize anything, we figure out what's worth optimizing.
Most traders go straight to tuning the dials - sizing, entries, exits - without asking whether they're turning the right ones. The same data answers completely different questions depending on what you're trying to predict. We start there.
Production
Your edge survived. Now it needs to run.
Data pipelines, historical-to-live matching, real-time execution. From data ingestion to deployed system - not a PDF.
If this sounds familiar - here's what the engagement looks like: a research engagement that starts with your thesis and ends with a verdict - and if it survives, a production system that trades it. See services
Why the results hold
No future information
Signals are stamped to what you'd actually know at decision time. Fills are modeled at realistic execution windows - not the close that generated the signal.
Execution realism
Fill simulation models adverse selection - when your signal is strongest, liquidity is thinnest. Costs scale with conviction, not just volume.
Holdout validation
Walk-forward holdout. The search never touches OOS data - not for signal selection, not for parameter tuning, not for stopping rules. One pass. No reruns.
Most strategies don't survive the process.
The ones that do are worth trading.