Automated Scheduling and Batching of Jobs

The final step of the quantitative investment management process is putting a strategy or individual workflow stages into production. Typically, the processes that support research and production have required two different systems and two separate investments in programming and testing skills. ModelStation provides a unified environment that allows research to move to production and vice-versa in a seamless and efficient manner.

ModelStation Production Scheduling

The ModelStation Production Scheduling module includes batch scheduling capabilities that ensure consistent, reliable updating of existing models as well as the production of daily forecasts that are required to implement a strategy.

Every workflow in ModelStation, including risk model estimation, alpha forecast construction, factor calculations, and portfolio optimization, may be scheduled for execution at pre-determined intervals or based on an external trigger event. A queuing system ensures that sequences of processes that are dependant on each other are executed in the appropriate order.

This module also allows you to go directly from research phase to daily production of signals with no environmental change and minimal setup, guaranteeing the fastest possible time-to-market for new quantitative strategies.

Key Benefits:

• Complex datasets may be rebuilt and cached periodically for maximum productivity and research speed
• Minimize 'research-to-production' time
• Integrated environment ensures model integrity and avoids typical conversion errors

Feature Summary:

• Automated execution and email confirmation of scheduled processes.
• Factors and models can be immediately setup for periodic execution with no modification.
• Queuing functionality ensures dependencies between processes are maintained.
• Parallel execution of multiple independent batches