Case Study: Knight Capital's Algorithmic Trading Disaster

On the morning of 1 August 2012 Knight Capital, the largest US market maker in equities, switched on new code for the NYSE Retail Liquidity Program. One of its eight servers never got the update. Old, unused logic woke up, and in about 45 minutes Knight's router sent millions of orders into the market and built a position worth billions of dollars it never meant to hold. The loss came to roughly 460 million dollars and the firm needed a rescue within days. This course runs the event as a full post-mortem: Knight's business and its order router, the deployment gap and the warnings that went unread, a minute-by-minute replay of how the losses compounded, the rescue and the SEC's Market Access Rule case, and India's own algo failures and safeguards from the Emkay freak trade of 2012 to SEBI's retail algo framework. It ends with an engineering playbook: pre-trade checks, deployment discipline and kill switches you can apply to your own strategies.