In most advanced EMSes, the behaviour of benchmark and SOR algorithms is managed via a large number of parameters (instead of hard-coded). In Quod Financial EMS, for example, there are over 100 parameters to manage a single trading algorithm. An example of a parameter is “Level of Aggressivity”. This is defined as the amount of liquidity that a trader wants to “destroy” during the execution. The aggressivity takes into account, for a given instrument (i.e.currency), the available liquidity but also In most advanced EMSes, the behaviour of benchmark and SOR algorithms is managed via a large number of parameters (instead of hard-coded). In Quod Financial EMS, for example, there are over 100 parameters to manage a single trading algorithm. An example of a parameter is “Level of Aggressivity”. This is defined as the amount of liquidity that a trader wants to “destroy” during the execution. The aggressivity takes into account, for a given instrument (i.e.currency), the available liquidity but also
In most advanced EMSes, the behaviour of benchmark and SOR algorithms is managed via a large number of parameters (instead of hard-coded). In Quod Financial EMS, for example, there are over 100 parameters to manage a single trading algorithm. An example of a parameter is “Level of Aggressivity”. This is defined as the amount of liquidity that a trader wants to “destroy” during the execution. The aggressivity takes into account, for a given instrument (i.e.currency), the available liquidity but also
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