RMQ Capital was an algorithmic trading vehicle for systematic market strategies and infrastructure-led experimentation. The work included building an automated trading platform on Interactive Brokers, analyzing time series datasets (including Principal Component Analysis), and building the systems needed to execute trades programmatically.

I co-founded and operated it as a hands-on exploration of quantitative finance. One of the durable lessons was the gap between backtesting and live trading: you can have a model that “works” on historical data and still fail once friction, slippage, execution details, and human discipline enter the system.

More context: rmqcapital.com