In high school, a trading game turned my casual interest in stocks into genuine curiosity about financial markets and decision-making under uncertainty. Following a systematic strategy, my team placed first in the region, but what stuck with me most was the question of why it worked, when it might stop working, and how to distinguish luck from real edge. Since then, I have focused on quantitative trading, systematic research, and the systems required to turn ideas into live trades. At Confido Capital, I built the core infrastructure for multiple automated options trading strategies across equities, futures, and indices, spanning signal generation, live execution, and risk management. I have also spent the past few years building and trading my own small-cap equities strategies. I use machine learning and statistical modeling to identify signals in market data, validation frameworks to test whether signals hold out of sample, and portfolio construction techniques to turn research into executable trades. I hope to contribute as a quantitative trader or researcher, bringing experience across the full strategy lifecycle from signal discovery to live execution and risk management. I would be glad to connect virtually or in person, so please feel free to reach out.
