The Tradetech Daily

FlexTrade Systems

FlexTrade Systems

A comprehensive transaction cost analysis system that offers real-time and historical transaction cost analysis for both portfolios and single stocks. With FlexTQM, users can analyse trader performance, algorithm performance and strategy performance over daily, monthly and yearly cycles, and view any deviation of realised costs using an array of benchmarks, including algorithm-specific benchmarks.

Asset classes and markets

FlexTQM is configured to handle global equity as well as some derivatives in the Americas, EMEA and Asia.

Transaction data

FlexTQM’s proprietary tick database provides over 80 measures relevant to equity activity. Standard benchmarks include open, close, VWAP, previous close.

Benchmarks

Reporting options are available real-time in CSV, Excel and PDF formats. There are options to see all orders, summaries via multiple benchmarks. It can also value the portfolios and stocks with the currency conversion.

Reporting options

Reporting options are available real-time in CSV, Excel and PDF formats. There are options to see all orders, summaries via multiple benchmarks. It can also value the portfolios and stocks with the currency conversion.

Consultancy services

FlexTrade provides a fiveand- a-half-days a week, 24-hour support desk staffed by a team of experienced software developers and engineers. The support group is highly client-oriented, and often works with complex client issues involving integration and functionality for client proprietary trading models.

Pre-trade analysis

FlexTQM runs pre-trade analysis to estimate costs and provide an optimised strategy prior to entering the market. The application shows how the trader has historically traded that stock. In addition the trader sees how orders of similar characteristics have been traded by the firm.

Future plans

FlexTrade has included an Algorithm Selector with its EMS. This function allows traders to profile a stock or a list of stocks and then use the Algo Selector tool to recommend the best way to trade, based on pre-set criteria, historical cost and trader objectives.