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 🙂