Rigor
Every model is reproducible, every result defensible. We are skeptical of our own ideas before the market has a chance to be. No strategy reaches live trading without surviving rigorous statistical validation.
Zeviq Technologies is a proprietary quantitative trading firm founded in 2026, headquartered in Prosper, Texas. We develop and deploy systematic strategies across equities, metals, energy, and currencies.
Our models are built through quantitative research, statistical analysis, and machine learning. Technology is the foundation of how we develop, test, and deploy every strategy we run.
Our execution infrastructure, data pipelines, and risk systems are built and maintained in-house.
All capital is proprietary. We do not manage external money or client accounts.
Every model is reproducible, every result defensible. We are skeptical of our own ideas before the market has a chance to be. No strategy reaches live trading without surviving rigorous statistical validation.
We do not trade on intuition or narratives. Every position we take is the result of a hypothesis tested against data — historical, out-of-sample, and live. The market is the final judge.
Durable edge takes time to find and longer to trust. We do not chase short-term performance at the expense of long-term consistency. Research that takes months to validate is research worth doing.
In quantitative trading, the details are the strategy. Execution quality, position sizing, risk controls, and model calibration all compound over time. We optimize every layer of the stack.
From statistical hypothesis to live execution — a continuous loop of research, engineering, and markets.
Every strategy starts with a hypothesis. We develop and validate models using historical and live market data.
Our execution infrastructure, data pipelines, and risk systems are purpose-built for the strategies running on top of them.
Validated strategies are deployed with firm capital across equities, metals, energy, and currencies. Live performance feeds back into research.