TREE Data Server / News: Recent posts

The TREE Data Server captures real-time financial data from
one or several datafeed services, archives data in a
historical database, and makes both live and archived data
available to client applications. The system can be used in
real-time charting, an ATS, tick feed simulator, etc. or
any situation in which multiple clients need real-time
access to the tick stream or archived tick data. In
addition, the archived tick stream and tick data are
available for offline data analysis and backtesting.... read more

The TREE Data Server captures real-time financial
data from one or several datafeed services,
archives data in a historical database, and makes
both live and archived data available to client
applications. The system can be used in real-time
charting, an ATS, tick feed simulator, etc. or any
situation in which multiple clients need real-time
access to the tick stream or archived tick data.
In addition, the archived tick stream and tick
data are available for offline data analysis and
backtesting.... read more

The TREE Data Server captures real-time financial data from one or several datafeed services, archives data in a historical database, and makes both live and archived data available to client applications. The system can be used in real-time charting, an ATS, tick feed simulator, etc. or any situation in which multiple clients need real-time access to the tick stream or archived tick data. In addition, the archived tick stream and tick data are available for offline data analysis and backtesting.... read more

The TREE Data Server captures real-time financial data from one or several datafeed services, archives data in a historical database, and makes both live and archived data available to client applications. The system can be used in real-time charting, an ATS, tick feed simulator, etc. or any situation in which multiple clients need real-time access to the tick stream or archived tick data. In addition, the archived tick stream and tick data are available for offline data analysis and backtesting.... read more