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Bank of America Merrill Lynch Enhances Canadian Algos
By
Cristina McEachern Gibbs
December 07, 2009
Bank of America Merrill Lynch has enhanced its algorithmic trading platform for Canadian equities with several new algorithms available to Canada and other changes to deliver improved execution performance.
Specific enhancements include the introduction of the Instinct algorithm for executing small- and mid-cap names to the Canadian market; the launch of a new Quantitative Implementation Shortfall (QIS) algorithm; improvements to the limit order model and introduction of micro-price logic; and an inter-listed trading engine that analyzes real-time FX rates and consolidated market data for cross border execution and settlement between the U.S. and Canada.
Michael Lynch, head of Americas Execution Services at Bank of America Merrill Lynch, said in a statement, "Investors in Canadian equities are constantly looking for ways to optimize their trading strategies and we are pleased to introduce these enhancements, which are based on detailed quantitative analysis and supported by a dedicated local trading desk."
Daniel Nachtman, Algorithms Product Manager, added, "Market structure changes in Canada require ongoing development and investment in our algorithmic suite and create opportunities for strategies like Instinct."
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