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6/7 * When a LEO gets processed, the OB thread evaluates (querying UD) if the user should still be liquidated and using which LS. * We tested this system with 100sK users + apocalyptic cascading liquidations and ended up always in ensuring the 0-sum game
7/7 * Complexity of this solution relies in write tests (we have more than 1000 automated simulations running) * Happy to elaborate if not really clear. * These are the types of solutions used in huge brokers with M of customers. No much way around it.
#Tangle consensus is 100% scalable.
Have you guys got to the point where you are turning off other cores on CPUs to make cache misses less likely? I know HFTs commonly do this not sure about the exchange side
Do not. Our approach is scaling horizontally -> 1 CPU per product possibly.
That is crazy awesome!!! You make me want to learn coding so badly!!!
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