When they invested in High end technology & develop their own In house Low latency Order management Engine they get more than 50% return per annum.
The biggest challenge in using FPGA based HFT trading platform is one needs people with good understanding of trading strategies used in market as well as how to do FPGA programming.
The time critical components of the trading algorithms should be placed within same FPGA to reduce computation time.
For example, an evaporation of liquidity, amplified by algorithmic trading, lay at the heart of the 1987 stock market crash. And it is also well-known that stock prices exhibit non-normalities, with the distribution of asset price changes fatter-tailed and more persistent than implied by the efficient markets hypothesis at frequencies of years and months, perhaps weeks and days.
But these abnormalities were thought to disappear at higher frequencies, such as hours and minutes.
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