We believe that consistent returns are the result of rigorous mathematical modeling, not intuition. We are engineers first, traders second.
In a world of noise, signal is scarce. Most market participants trade on feelings—fear, greed, and hope. Virexan Capital trades on probability.
Our systems are designed to exploit small, statistically significant edges over thousands of trades. We accept that losses are inevitable (variance), but we ensure that the Law of Large Numbers works in our favor.
We don't try to predict the future. We identify when the present price is statistically misaligned with its expected value.
10+ Years Experience
Specialized in Volatility Arbitrage and Market Making. Former Lead Developer for proprietary desks. Expert in Python (Pandas/NumPy) and C++ execution engines.
Infrastructure Lead
Ensures 99.99% uptime for execution servers. Expert in Distributed Systems, AWS/GCP Architecture, and Docker/Kubernetes orchestration for scalable trading.
Statistical Modeling
Responsible for strategy validation and backtesting frameworks. Focuses on regime detection, feature engineering, and avoiding overfitting in ML models.