Utilizing state of the art optimization technology, FlexPTS establishes the optimal portfolio trading schedule weighing all the available data, such as user inputs, risk factor correlations, implied volatility, the estimated market impact cost, and the trader’s short-term alpha goals, FlexTrade Systems claims.
While the system initially employs its own cost model, as well as the short-term equity risk models from Northfield Information Services, FlexPTS is adaptable to any cost and risk models.
According to Vijay Kedia, president and CEO of FlexTrade Systems, pre-trade planning has always been a challenge in the industry. It’s been particularly problematic for buy-side institutions, which need to maintain complete confidentiality and control of their portfolios. With FlexPTS, users can not only optimize their pre-trade schedules, but also implement real-time schedule adjustments due to its extremely fast computation.
Other features available through FlexPTS include optimization for implementation short fall or market on close, determining the ideal start and end time for the trade, and generation of trading schedules for part of a day or multiple days.
