About
Research and technology,
inseparable.
Kunita Capital is a proprietary trading group in Hong Kong. We apply machine learning to cryptocurrency markets, where speed of iteration and quality of research determine everything.
Who we are
A firm that does not compromise.
We are a small team of researchers and engineers who believe that rigorous quantitative methods and superior technology give a durable advantage in financial markets.
Our focus is on cryptocurrency markets: deep, global, and increasingly efficient. We operate as a market maker and systematic trader across spot and derivatives venues, running strategies around the clock.
Based in Hong Kong, at the center of Asian digital asset markets.
What defines us
Our principles.
Intellectual rigor
Every model is tested exhaustively. We do not act on intuition, only on what the data consistently supports.
Global talent
Our team is drawn from top universities and firms worldwide. We hire for ability, not geography.
Execution first
Good ideas only matter if they can be executed reliably. Our infrastructure is built to that standard.
Disciplined risk
Risk management is not a constraint on our strategies. It is built into every one of them from the start.
Continuous iteration
Markets change. We iterate constantly on models, code, and team to stay ahead.
Small and serious
We are a small, high-trust team. Every person has direct impact on how the firm thinks and trades.
Markets
Where we trade.
Our primary focus is cryptocurrency markets, traded on major spot and derivatives exchanges. We provide liquidity as a market maker and capture systematic signals as a proprietary trader.
Crypto markets are open around the clock, globally fragmented, and rich with signal. Machine learning is particularly effective here because market microstructure is complex and fast-moving.
Technology
How we build.
We own the full stack: exchange connectivity, order management, risk systems, research pipelines, and backtesting frameworks. Engineers and researchers share the same codebase and collaborate directly.
Python powers our research and data infrastructure. Where performance demands it, we go lower. We value clarity and correctness in code above all else.