 Market Data Management
Increasingly complex quantitative strategies and the explosive growth of market data volumes are driving the need for integrating real-time analysis of market data, with historical data storage. Both buy- and sell-side firms need tools to rapidly develop algorithmic and quantitative trading strategies which run queries against both real-time market data and large historical data repositories. Firms also need the ability to easily back-test trading strategy algorithms using virtual feeds of historical data and to be able to quickly deploy trading strategies and evolve those strategies as market conditions change.
The StreamBase Event Processing Platform™ offer customers the ability to rapidly build algorithmic and quantitative strategies, easily back-test these algorithms against large amounts of historical data, and quickly deploy and evolve these trading strategies as market conditions change.
| The StreamBase Market Data Management Framework provides a fully customizable dashboard for a real-time view of key trading algorithms and models. This dashboard is extensible for any user-defined market data analytic and works on aggregated views of the market. |
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Rapidly Develop Trading Strategies
The StreamBase Event Processing Platform™ allows firms to develop complex trading strategies in a percentage of the time it takes using custom development techniques. In an industry where time-to-market is a key competitive advantage, this is a critical component of any successful trading infrastructure.
Back-Testing
Trading strategies developed using StreamBase can be back-tested at very low latencies using historical market data supplied by leading tick store providers. Raw and aggregated market data captured by the tick store is fed into StreamBase as a way to identify and verify the most effective trading strategies from a historical perspective.
Easily Deploy Trading Strategies
Once successful trading strategies have been identified through back-testing, these strategies can then be rapidly deployed in the live market using StreamBase. Once implemented in StreamBase, trading strategies can be changed on the fly to react to real-time market conditions. As trades are being made, StreamBase can store results and keep a record of how your algorithms perform over time for benchmarking.
StreamBase Chronicle
StreamBase solves the problem of integrating between streaming event data and historical data with StreamBase Chronicle™, a data storage framework for optimal connectivity to high capacity databases and data warehouse. By enabling the creation of “virtual” data feeds carrying historical data, Chronicle can help quantitative analysts rigorously test their real-time applications and better understand their reaction to the market. Learn more about StreamBase Chronicle here.
Full Product Download
Click here to download a full trial version of StreamBase.
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