They have to make prompt decisions about when to buy and when to sell securities and other financial products. The ultimate aim is to make as much money as possible for the collective, whilst reducing financial risk.
Algorithmic trading characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverage high-frequency financial data and electronic trading tools. There is not one type of trader but the key attributes are highly sophisticated algorithms, co-location and various investment horizons.
Our version of trading is very quantitative, and characterized by short portfolio holding periods. All portfolio-allocation decisions are made by computerized quantitative models. The success of our trading systems is largely driven by their ability to simultaneously process large volumes of information, something ordinary human traders cannot do.