Can you talk a bit more about the incentives to trade latency sensitive strategies on IEX in the first place? Is it still lucrative for its liquidity despite them artificially slowing down orders? Does a meta game evolve with HFTs all working around their system, essentially making it still a HFT playground but with extra steps? Do you think their unexpected latency increase for you guys was intentional, to free the water from sharks?
These companies do take it seriously, on the software side, but when it comes to configurations, what are you going to do:
Either play it by ear, or literally double your cloud costs for a true, real prod-parallel to mitigate that risk. It looks like even the most critical and prestigious companies in the world are doing the former.
> Either play it by ear, or literally double your cloud costs for a true, real prod-parallel to mitigate that risk.
There's also the problem that doubling your cloud footprint to reduce the risk of a single point of failure introduces new risks: more configuration to break, new modes of failure when both infrastructures are accidentally live and processing traffic, etc.
Back when companies typically ran their own datacenters (or otherwise heavily relied on physical devices), I was very skeptical about redundant switches, fearing the redundant hardware would cause more problems than it solved.
Same here. I like the end result of having a gaming/ML PC with all the specs that I chose out but assembling PCs is not a hobby that I enjoy, and gaming seems to be partying ways with ML anyways. The new world might well end up being DGX for ML, and Steam machine for games.
Introduction to quantitative finance and to learn what strategies are used by firms who are supposed to beat the market.
2. Advances in Financial Machine Learning
Deep dive into ML techniques if you want to start making money from data and math.
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