esper.hl
7.8K posts

esper.hl
@jade_esper
人工知能研究者 cyber security research @anthropicAI
atlantis Beigetreten Ağustos 2016
2.2K Folgt2.6K Follower
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This cluster is up more than $800K in profits trading purely Outcomes on Hyperliquid, using native functions unknown to most people.
Outcome metrics on Hyperliquid are growing day by day, and there is already a market with more than $15M in open interest: the 2026 World Cup Champion.
This increase in demand also comes with huge trading opportunities, and this cluster took advantage of them.
Addresses:
#txs" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0xfcec…
#txs" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0xd9ee…
At first glance, they might look like normal market makers earning spread from millions in volume, but the fact is that they are up more than $500K with less than $4M in volume.
Here’s the interesting part: they are not just buying and selling Outcomes or making directional trades. They are mostly making money using native Hyperliquid functions:
- Merge Outcomes:allows the user to get 1 USDC when they merge all possible outcomes of a market.
>>> E.g.: In the Canada vs Qatar match, on the Qatar side, there are 2 outcomes: YES and NO. If you buy 1 YES and 1 NO, you can merge them and get 1 USDC.
- Split Outcomes: the same as Merge Outcomes, but in reverse: convert 1 USDC into 1 YES and 1 NO.
- Negate Outcomes: lets the user convert 1 NO share of an outcome into 1 YES share of every other outcome in the same question, including the fallback share if the question has one.
>>> E.g.: 1 Canada NO -> 1 Qatar YES + 1 Draw YES + 1 Fallback YES.
- Merge Question: lets the user merge 1 YES share of every possible outcome in the question into 1 USDC.
This cluster made most of its money by arbitraging Hyperliquid’s native Outcome mechanics rather than simply betting directionally on teams.
The basic idea is:
- use Split Outcomes to create YES / NO inventory
- use Negate Outcomes to turn a NO position in one outcome into YES positions in all opposite outcomes
- sell the mispriced / liquid YES legs in the market
- use Merge Question or Merge Outcomes whenever the remaining inventory can be converted back into USDC
A simplified example is the Canada vs Qatar World Cup match market.
The market has four YES outcomes: Canada, Qatar, Draw, and Fallback.
- Start with 120K USDC and use Split Outcomes on Canada
>>>Inventory: 120K YES Canada + 120K NO Canada
- Use Negate Outcomes on 80K NO Canada: this converts: 80K NO Canada -> 80K YES Qatar + 80K YES Draw + 80K YES Fallback
>>>>Inventory: 120K YES Canada + 40K NO Canada + 80K YES Qatar + 80K YES Draw + 80K YES Fallback
- Now the trader can do two things depending on prices / liquidity:
1/ Merge complete sets: YES Canada + YES Qatar + YES Draw + YES Fallback -> 1 USDC
2/ Or sell the liquid legs, usually Canada / Qatar / Draw, if the market is paying more than the implied cost.
The edge comes from one simple mismatch: conversion prices are mechanical, while market prices move with liquidity and demand.
When that gap opens, the trader has options. Sell the overpriced legs into the book, merge complete sets back into USDC, or reshape the inventory again instead of being forced to take bad execution.
That is the real unlock behind these functions. They let users build and adjust exposure without market-buying into thin liquidity and eating massive slippage.
Most people look at Outcomes as prediction markets.
This cluster is treating them as execution rails.

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@blknoiz06 @Immutab1 Spent all my solana ok hookers and blow, maybe I am not the best trader this cycle but at least I had fun
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@SelinaVareez Just sex is fine but we could go swim together perhaps for a concert
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@aruito_4092 it’s much like eating a meal. You get hungry you order some food. 😅
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