ITG (NYSE:ITG), a leading independent broker and financial technology provider, today announced the launch of ITG Smart Cost Estimator for Pre-Trade Analysis, a mobile application that estimates pre-trade costs based on current market conditions.
“Traditional pre-trade transaction cost models don’t take prevailing market conditions into account or allow users to perform ‘what if’ scenarios. ITG Smart Cost Estimator for Pre-Trade Analysis delivers more accurate cost estimates for people trading in global markets with the goal of better returns for investors,” said Ian Domowitz, Managing Director and Head of Analytics at ITG. “Users can compare today’s cost estimates against historical conditions, estimate the cost for liquidation of a position, and calculate the expected increase in trading costs given various order sizes.”
ITG Smart Cost Estimator for Pre-Trade Analysis, available on the ITG Analytics Incubator®, is the complementary application to ITG Smart Cost Estimator for Post-Trade Analysis. These and several other liquidity cost and volatility index mobile applications including the ITG Equity Trading Cost Index, ITG FX Trading Cost Index, FX Pre-Trade Prototype, and the Swing Pricing Prototype are all available on the ITG Analytics Incubator. All indexes and applications are available to the institutional trading community, free of charge, via a responsive web site to foster transparency in the equity and FX trading communities.
Best New Mobile Application
ITG also announced today that ITG Analytics Incubator was named Best New Mobile Application at the 2016 Wall Street Letter Institutional Trading Awards. ITG Analytics Incubator was selected from among a field of major industry competitors by a panel of independent judges based on its innovative use of technology and data.
In addition to ITG Smart Cost Estimator and other apps, ITG Analytics Incubator also offers the full suite of ITG Peer Analysis® reports, based on one of the industry's largest databases of transaction data. All articles, presentations, and videos produced by the ITG Analytics team since 2006 are available in the Library.
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