Anti-gaming logic that is dynamic and embedded
Anti-gaming logic is at the core of what we do. We deploy both dynamic strategies and embedded intelligence to ensure best execution you can trust.
Deep Value uses advanced visualization tools and statistical analysis packages to challenge gaming risk. We invest approximately 4,000 hours annually reviewing our NYSE trading algorithms. Our algorithms emit their internal state at the rate of approximately 39 emissions per algorithm minute. These emissions are the detailed internal driving variables of the algorithm as it moves through its various internal states through time, including market data. Our research and automated validation teams analyze these emissions to measure how our algorithms are performing, including potential market impact and leakage.
Deep Value embeds complex logic into all of its algorithms as a means of eliminating gaming risk at the core. Our algorithms deploy a host of sophisticated techniques designed to reveal as little information as possible, while still executing the trader intention expressed in the choice of algorithms and its settings. Rather than focusing on detection, Deep Value algorithms are shielded by (a) intelligent algorithmic logic that reduces information leakage and (b) constant tuning of algorithms for improving performance measurably that, apart from delivering better prices, also introduces variations in automated behavior and resulting signatures in the market that make the detection of their presence harder.
These techniques include the following:
NOTE: Supporting performance analysis with regard to arrival price is contained within NYSE Executive Summary POV Performance Report (August 2010 – June 2011).