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Topic cluster / Hyperliquid HIP-4 marketsStart from the market definition, not the price chart. For HIP-4, good research keeps the outcome metadata, calendar structure, and side-specific liquidity intact, then validates any pattern with forward observation instead of assuming a new market behaves like a mature perp.
What to remember
The official docs show `outcomeMeta` carrying the outcome id, name, a structured description string, and side specs. That metadata is part of the instrument, not just decoration.
A clean dataset should persist at least the underlying, outcome class, expiry, target price, and side names alongside the trade or book series.
These markets invite questions like how odds reprice as expiry approaches, how wide spreads get around information shocks, and whether one side goes illiquid faster than the other. Those are different from the classic perp questions about funding carry or beta-neutral spreads.
New market types usually look cleaner in a notebook than they do in real time. That is why HIP-4 research should separate historical pattern hunting from live observation and paper execution.
Even without a dedicated HIP-4 product surface yet, the same Alphora research discipline applies: preserve provenance, keep the instrument definition attached to the run, and compare what historical logic predicted against what live observation delivered.