I doubt anyone's currently using Julia for the fast path of low latency trading. Usually it goes from FPGAs for sub-milli work, C++ on GPUs then either C++ or Java for multi-milli work. In my experience.
I'd expect most of the Julia usage in this space would be to replace any R or Matlab in the back testing engines if at all.
I didn't get the impression from the article that they were really talking about low latency anyway.
That's not to suggest that Julia doesn't have a place in Finance. I think it's a great language and there are a bunch of places I can see it being very valuable. Just doubt that low latency fast path is one of them in the near term.
I'd expect most of the Julia usage in this space would be to replace any R or Matlab in the back testing engines if at all.
I didn't get the impression from the article that they were really talking about low latency anyway.
That's not to suggest that Julia doesn't have a place in Finance. I think it's a great language and there are a bunch of places I can see it being very valuable. Just doubt that low latency fast path is one of them in the near term.