Algorithmic high-frequency trading reshapes finance, power, and politics intertwined.
High-Frequency Trading (HFT) is a type of automated trading using ultrafast algorithms. This study looks at how HFT algorithms use data signals to trade, add or execute orders on electronic order books, and interact with each other and exchanges. The researchers analyze how the material aspects of HFT, like data patterns and technical systems, intertwine with power, politics, and financial profit-making.