I hear that some Hedge Funds and Institutional Investors are going beyond HFT trading by doing Parallel programming of heterogeneous systems using power of CPU, GPU and FPGA for ultimate ultra low latency trading system. This system enqables them to complete the trading process in couple of micro seconds, till date its the fast system developed by the traders. The more faster the system gets, it can generate more trades in a day thus generating more revenue for the company, I guess thats the reason we see market wide fluctuation now a days. While SEC and FINRA are working hard investigating suspicious market activity and demading secret high-frequency trading computer codes from HFT trading firms, Hedge Funds, Institutional Investors and other HFT trading firms worldwide are busy developing robust trading system that does not care about company’s fundamentals, it just does trade exclusively on down ticks and up ticks. The Novel System is designed to make a penny of profit but with several millions of trades per terminal and 100′s of such HFT Algos/Codes systems worldwide… It’s your Guess!
Posts Tagged ‘Stock trading system’
Tags: algo trading, Algorithmic trading, algorithmic trading or automated trading, Business, c++, Core Java, CUDA, electronic trading systems, Field-programmable gate array, GPU, GPU (CUDA) supercomputing technologie, GPU programming, Graphics processing unit, Hedge fund, high performance computing (HPC), Java trading System, low latency, s, Stock trading system, Supercomputer, Technology, ultra low latency, Ultra low latency connectivity, Ultra low latency trading, Wall Street
First it was FPGA technology now its time for (GPU programming / high performance computing HPC) Graphical Processing Unit supercomputing technologies. GPU supercomputing is perfect for Trading Systems for its ability to speed up many types of financial calculations. GPU (CUDA) supercomputing technologies has made significant inroads into financial analytics and risk arena what looks like a silent revolution on Wall Street. Only Institutional Banks / Hedge Funds with financial capability and technology knowhow are currently using GPU (CUDA) supercomputing technologies for real-time financial trading and risk.
The power of high speed GPU programming gives traders ability to trades almost in real-time, thus it pays to be there first and ahead of the trading game. For more info on GPU/CUDA computing please visit Nvidia’s developer zone
Will FPGA & GPU technologies live the hype in finance? So, what can GPUs do now and in future as a trading technology? And where do we go from here?
Tags: .net, c++, Core Java, Development, Google, Java, Java for Trading Systems, java trading architecture, Java trading software, Java trading System, Java Virtual Machine, java-based, Languages, microsoft, open source, oracle, Oracle Corporation, Programming, Stock trading system, sun, Sun Microsystems, trading bundle
After Sun its Oracle turn to try out novel development using Java.
Oracle is focusing on building a Java-based pre-engineered trading bundle this year in order to facilitate fast deployment and “fewer moving parts” to deal with for its customers. This development is aimed at tackling the challenge of performance versus time to market in the low latency trading architecture space. It would be based on Java enabled data grids and architectures on which trading infrastructures can be built could therefore provide more robust capabilities.
We will find our more about core Java-based pre-engineered trading bundle within months to come. Will be easier to implement and will it save time and money for both the software company/consultants and the users (Trading firms and its Customers, Capital Markets & Investment Banks).???
Java is HOT again!