Truviso Introduces Algorithmic Trading Solution
First Published Wednesday, 31 October 2007 from Automated Trader : Algorithmic Trading News
Boyd Pearce, Truviso's president and chief executive officer: "Using Truviso, users, for the first time, can perform both historical trend analysis and real-time algorithm execution in a single, easy-to-use framework." Addressing the worldwide demand for proprietary trading algorithms among capital market firms, Truviso has announced the availability of its Algorithmic Trading Solution, the first to combine SQL-based continuous event processing, real-time as well as historical data analysis, and zero-latency algorithmic decisioning on a single platform. With the Truviso Algorithmic Trading Solution, buy- and sell-side traders can now develop, test, execute, and evaluate proprietary trading strategies in one algorithmic framework.
Boyd Pearce, Truviso's president and chief executive officer: "Using Truviso, users, for the first time, can perform both historical trend analysis and real-time algorithm execution in a single, easy-to-use framework."
"Using Truviso, users, for the first time, can perform both
historical trend analysis and real-time algorithm execution in a
single, easy-to-use framework," said Boyd Pearce, Truviso's
president and chief executive officer. "We expect that the
capabilities developed and perfected in our Algorithmic Trading
Solution will provide a model for automated decisioning in other
industries that require low-latency analysis and action."
Truviso's unique architecture combines a high-power event
processing engine, which continuously executes hundreds of
concurrent standard SQL queries against multiple, live market
data feeds, with an integrated historical data repository, which
enables data analysis, trend detection, back-testing and other
functions. Full SQL queries over market streams and tables
provide securities and trading firms with a wider range of
analysis capabilities than are available in first-generation CEP
solutions. The Truviso platform also runs real-time queries that
include models and algorithms created using third-party
statistical tools and development languages.
"Using Truviso, we can analyze historical market data to discover
trends and signals, and then immediately implement that same
analysis against real-time data feeds," said Kelly Adams, head of
technology and development at FX Concepts. "We're executing with
less price slippage, and we're able to continuously monitor our
performance to improve our trading models."
Truviso's combination of real-time event processing and
historical data analysis in a single engine makes it the only
SQL-based algorithmic trading solution to support the complete
algorithm lifecycle-including development, testing, execution,
and evaluation. By continuously monitoring algorithm
effectiveness, as well as adding, removing or modifying
algorithms on-the-fly, firms can easily adapt their strategies
over time to maximize portfolio returns. Truviso supports
hundreds of concurrent queries, enabling many different
algorithmic trading strategies to be executed simultaneously with
sub-millisecond latency.
