Goldman improves execution ‘by 50%’ with new algos

Bank uses neural networks and other AI tools to cut slippage in stock trading


Goldman Sachs is creating a new breed of execution models that aim to better reflect intraday trends and correlations in global equities markets.

Initial use of the technology has improved trade execution quality by 50% over the past six months, the bank claims. The improvement is measured against client’s benchmark expectations and single-stock alternatives. The bank says the effort will help minimise slippage during completion of a trade.

“Broadly speaking, the models have improved trade

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