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 ‘Algorithmic trading’
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: Algorithmic trading, Business, Dodd–Frank Wall Street Reform and Consumer Protection Act, Electronic Trading, FinancialServices, High-frequency trading, Investing, Risk management
The financial services industry has changed drastically and evolved greatly owing to the economic crisis,
regulatory issues, competitive pressures and increasing customer needs. Today, IT plays a significant role
as a major operative and competitive requirement for financial institutions. Thus changing the future trends
and technology investment in Mobile Trading applications and High frequency trading (HFT)/ Algorithmic trading
Here are few technology trends or recommended improvements every investment bank must take note of :
Faster and better and mobile electronic trading systems will continue increased IT spending
Increased focus on electronic trading, including Ultra lower latency, co-location and access to new electronic
trading venues like mobile trading and direct data feeds from exchanges
Increased spending on derivative trading systems, both for ETD and OTC :
Both ETD and OTC derivatives will see an increase in volume; and with new rules (dodd frank bill) requiring
OTC products to move onto exchanges, with CCPs acting as clearers, new systems will have to be put
into place to manage the required collateral and margin.
Firms will have to invest in upgrading their risk management system :
Increased trading volumes, faster trading, more diverse types of securities traded, and new margining
and collateral rules will require that firms have capable risk management systems
Improving front-office, middle office and back office system capabilities
Firms will continue their perennial struggle to improve their middle and back office systems in order to
keep up with the ever increasing amount of trade volume – driven higher more quickly by the increase in
electronic trading systems. Wealth management firms will focus on upgrading advisor workstations and facilitating
A focus on integration of multi-platform
New trend is to work off a single platform across the enterprise. Wealth management firms will continue to
focus on process and data integration.
Investment banks and Hedge fund firms rely on VitalVest for their Financial Services/Computer IT ConsultingPosted: 07/19/2011 in Consulting, IT Outsourcing, Mobile Trading, Regulatory Compliance, Trading Software
Tags: algo trading, Algorithmic trading, algorithmic trading or automated trading, also known as "high-frequency trading" (HFT), black-box trading or robo trading, Chief information officer, Connectivity, Electronic Financial Markets, Electronic Trading, financial services consultants, FinancialServices, Hedge fund, High-frequency trading, Information technology, investment banking consulting, Java, Low latency trading, Middle-office and Regulatory Compliance Reporting solutions, nhp consulting llc, Open Source and Microsoft technologies, vitalvest
Chief information officer (CIO), or information technology (IT) director, is a job title commonly given to the most senior executive in an enterprise responsible for the information technology and computer systems that support enterprise goals. In Financial Services and Investment Banking, an industry focused on data and financial analysis, technology is as much a part of the business as the traders, portfolio managers and risk managers who develop financial products. In Electronic Financial Markets, algorithmic trading or automated trading, also known as “high-frequency trading” (HFT), Low-latency trading, algo trading, black-box trading or robo trading, is the use of computer programs for entering trading orders with the computer algorithm deciding on aspects of the order such as the timing, price, or quantity of the order, or in many cases initiating the order without human intervention. Effective management of information technology resources that support the business has always been a priority for financial services CIOs. However, now that financial firms are beginning to once again cut staff and expenses as the banking industry faces cost pressures and declining revenues, efficient IT systems management is vital for technology executives.
Without the ability to run an integrated and cost effective IT organization, CIOs risk not being able to respond to business goals and provide technology support to the portions of the enterprise that drive business. Most of the Investment banks and Hedge fund firms rely on VitalVest c/o NHP Consulting LLC., for their Financial Services/Computer IT Consulting. We have been serving Wall Street clients for almost 12 years and know the financial service industry inside out.
The principals at NHP Consulting LLC has been instrumental with designing and architecting several enterprise-wide solutions. We have deep knowledge and experience with implementing Electronic Trading, Connectivity, Middle-office and Regulatory Compliance Reporting solutions. We are equally knowledgeable and Experienced within Java,Open Source and Microsoft technologies. We have worked with several global major firms within Capital Markets segment.