Algorithmic strategies, backed by the numbers.
We design and code quantitative investing and trading strategies and put real capital behind them. Every system starts with a statistical edge that we measure, validate on historical data and take live. Discipline and risk control come first.
Two core areas
Low-frequency algorithms, built to give capital time to compound. Slow turnover, long horizons and tightly controlled drawdowns: a moderate return that aims for consistency, year after year.
High-turnover algorithms that capture short-term edges. Capital moves fast, but every single trade carries a low risk profile. The goal is to grow capital.
Our approach
An advantage that proves itself
Every strategy starts with a statistical edge backed by a real economic mechanism: we need to know why it works. If a strategy can't beat pure chance, it doesn't go live.
Tested on historical data
Every strategy has to survive up to 20+ years of data, realistic costs, walk-forward, Monte Carlo and a forward test. We throw out more candidates than we keep. That's the job.
Survival comes first
We size every position based on the real odds of blowing up the account, not on backtests built with the benefit of hindsight. Protect the capital first, then grow it.
Contact
Questions, partnerships or early access to the client area? Get in touch. Every reply comes from a real person, not a bot.