The first version of a quantitative trading model often looks impressive. The difficult work begins when its assumptions meet live markets.That gap explains why building a quant AI system is not simply a machine-learning project. It is a multidisciplinary engineering effort involving market … Read More

Imagine launching a strategy with a strong historical equity curve, only to lose the evaluation because one volatile session crosses the firm’s daily drawdown limit. The explanation is straightforward: a proprietary trading evaluation is a rule-constrained risk test, not merely a search for profit. … Read More