2 Results for MarketCetera

Marketcetera Taps Former MySQL Executive For Its Advisory Board

The financial services market is still a largely uncharted region for open source software. Sure, there are several Exchanges around the globe that use Linux to power their operations, but the minds, the people, and the currency that bring life to the trading floors don't operate solely on a patch of real estate in New York, London or Hong Kong. Marketcetera is one of the first open source software vendors to blaze a trail in this industry, with its open source trading platform catering to buy side and algorithmic trading.

Tackling a new market often necessitates a new way of thinking and looking at problems, but having experienced advisors onboard is still crucial to successfully navigate the unfamiliar territory -- for the insight they give, and the assurance their presence can instill in potential customers. This is only one of the reasons Marketcetera is welcoming Larry Stefonic to its advisory board. Stefonic is no stranger to the software industry, having co-founded the yaSSL project, an open source internet security suite, holding management positions at Centure Software, Raima Corporation and recently serving as the executive vice president of sales at MySQL AB.



Marketcetera's Open Trading Platform Taking FOSS and Finance Further

The Marketcetera team is as aware as the rest of us that economic changes are coming fast and furious, and that open source software can have an impact on a company's -- or individual's -- financial future. Honestly, one could say Marketcetera is twice as aware of open source software's financial potential.

Today, Marketcetera released the first full production release of its open source automated trading platform. Aimed at hedge fund managers, traders, brokers and dealers, the system is standardized, open, scalable and modular. This, says Marketcetera CEO Graham Miller, offers users faster deployments, better integration, and the ability to customize everything from the public APIs to data models.