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But is that the whole of the problem, that the decision-making process itself adds latency to data? Or are data volumes and the proliferation of trading venues outstripping data vendors capacity to deliver in real-enough time? William Essex investigates.

It’s decision time


Velocity equals distance over time, unless you co-locate to the source of your data. In that case, you’ve cut out distance and redefined time as how long it takes you to make a decision and act on it. “Nobody’s ever talked about how long their algo takes to run*,” says Jeff Hudson, CEO of Vhayu, describing the evolution of an industry that runs all the way from smoke signals (“really pretty advanced for their time”) to adaptive algos capable of thinking for themselves in difficult market conditions. For Hudson, “the market is data”, in the sense that the only way a trader can view a market is through the data that market gives out. Given that everything important therefore happens in the trader’s head (or CPU), as he (it) reacts to incoming data, this is close to saying that the trading venue is the trader. ...

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