Order types are essentially sets of instructions that facilitate the execution of specific trading pairs at exact market prices. Although automated order types have been around for a long time, this version of the system uses artificial intelligence with real-time reinforcement learning to execute orders.
One of the main benefits of this improvement is the ability to significantly speed up order processing. In testing, the dynamic M-ELO showed a staggering “20.3% increase in fill rate and 11.4% decrease in price drawdown,” according to Nasdaq.
This AI-powered feature continuously analyzes more than 140 data points every 30 seconds to identify market conditions and optimize holding time before executing a trade. Dynamically adjusting hold times in real time rather than using static timeouts can improve occupancy rates without significantly impacting the market.
Source: Ferra
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