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Like in order to keep their delta closest to zero, whenever someone longs/the market makers sells, they buy equivalent real stock in the real world to hedge. I could be wrong
Like in order to keep their delta closest to zero, whenever someone longs/the market makers sells, they buy equivalent real stock in the real world to hedge. I could be wrong
Woah wow. That is a really smart way of thinking. But, spot closed → can’t hedge → inventory risk up → spread wider Vs spot closed → nothing to manage there → capacity freed → spread tighter. Which one wins?
Woah wow. That is a really smart way of thinking. But, spot closed → can’t hedge → inventory risk up → spread wider Vs spot closed → nothing to manage there → capacity freed → spread tighter. Which one wins?
The algo part is actually smart. The LLM came to a similar conclusion but wasn’t specific enough. What about the unhedged position and the inventory risk though? Where does that go in this picture?
The algo part is actually smart. The LLM came to a similar conclusion but wasn’t specific enough. What about the unhedged position and the inventory risk though? Where does that go in this picture?
guys, anything? we can co-author if something cool comes up
guys, anything? we can co-author if something cool comes up
I am writing a study on market makers in the HIP-3 hyperliquid markets and collected data using Hyperliquid's API to test my hypothesis that market makers will widen their spreads and lead to more expensive hours when the market is closed (trading hours in india) but the data gave the exact opposite. If someone is well read about this or has any contacts that would be able to help reason it out practically, please reply. The reasoning has gone beyond an LLMs current bounds. Please help, could be huge given that the market is just a few months old 🙂
I am writing a study on market makers in the HIP-3 hyperliquid markets and collected data using Hyperliquid's API to test my hypothesis that market makers will widen their spreads and lead to more expensive hours when the market is closed (trading hours in india) but the data gave the exact opposite. If someone is well read about this or has any contacts that would be able to help reason it out practically, please reply. The reasoning has gone beyond an LLMs current bounds. Please help, could be huge given that the market is just a few months old 🙂
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