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TO DERIVE OPTIMAL ORDER EXECUTION STRATEGIES THAT STRIVE TO MINIMIZE TRANSACTION COSTS, INVESTORS AS WELL AS AUTOMATED TRADING ENGINES MUST BE ABLE TO ANTICIPATE CHANGES IN THE AVAILABLE MARKET LIQUIDITY. BASED ON AN EVENT STUDY ON THE LIQUIDITY IMPACT OF AD-HOC DISCLOSURES, WE PROPOSE A NOVEL IT ARTIFACT THAT ALLOWS AUTOMATED TRADING ENGINES TO APPROPRIATELY REACT TO NEWS-RELATED LIQUIDITY SHOCKS. FURTHERMORE, WE PROVIDE A SIMULATIONBASED EVALUATION THAT SHOWS ITS ECONOMIC RELEVANCE.