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Understand how quantitative trading strategies work, from signal discovery and portfolio construction to automated risk controls.
Quantitative trading is a method of investment management where mathematical and statistical models determine stock purchases, target allocation weights, entry/exit timing, and portfolio hedging rules.
Unlike discretionary trading, quant trading processes vast amounts of historical tick, fundamental, and alternative data to detect subtle quantitative edges.
Technical analysis relies on subjective visual pattern recognition on charts. Quant trading uses mathematical algorithms, statistical hypothesis testing, and rigorous out-of-sample backtesting.