SIG trading is a commonly searched phrase that points to the world of professional, data-driven trading: quantitative research, options...

SIG trading is a commonly searched phrase that points to the world of professional, data-driven trading: quantitative research, options market-making, and proprietary strategies executed at speed. Whether you’re exploring careers at leading firms or building your own systematic edge, sig trading centers on using statistics, probabilities, and disciplined risk management to find repeatable opportunities. Traders apply option Greeks, microstructure insights, and algorithmic execution to price risk, manage inventory, and capture edge across equities, futures, and options. On this page, you’ll learn what sig trading involves, the skills and tools professionals use (from Python and SQL to backtesting and simulation), and the steps to get started responsibly. We cover how signal development differs from discretionary trading, where market making fits, and why risk controls define long-term success. If you want a clear path into a rigorous, evidence-based approach to markets, this guide to sig trading will help you move from curiosity to capability.

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