Algorithmic Trading
Also called: algo trading, systematic trading, automated trading
Algorithmic trading executes rules automatically, from simple order-slicing to fully systematic strategies. Most institutional volume is now executed this way, primarily to reduce market impact rather than to predict direction. Its defining risks are the ones code introduces: an untested edge case cost Knight Capital $440m in 45 minutes and its independence shortly after.