Polymarket's mirror-style order book sharing design is indeed ingenious—achieving a clever liquidity balance through the Yes+No=1 mechanism. However, this approach is more suitable for leading tracks and mainstream prediction categories, as it requires sufficient market maker participation. For long-tail markets, especially social predictions, an independent order book model might be more efficient. Imagine separating Yes and No into two completely independent pools, with the eventual winning participants sharing all the rewards of the opposite pool proportional to their share—could such a design better incentivize initial liquidity for long-tail assets? Both mechanisms have their strengths; the key is to match the market depth and participant structure.
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MetaNeighbor
· 10h ago
The long-tail market is indeed a pain point. Polymarket's design is very user-friendly for the mainstream, but niche predictions really fall short.
The idea of an independent prize pool is pretty good; it seems like it could energize many niche tracks.
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NFTregretter
· 10h ago
I think the logic of the independent prize pools in the long-tail market is a bit idealistic. Can the liquidity fragmentation issue be resolved in actual operation?
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ExpectationFarmer
· 10h ago
Liquidity in the long-tail market is indeed a big issue. I need to think about the idea of an independent prize pool.
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AllInAlice
· 10h ago
The pain points of long-tail prediction markets really hit home for me; mirror trading platforms are truly not a panacea.
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ProxyCollector
· 10h ago
The long-tail market is indeed a trap; the big players are making a fortune, while niche predictions are directly falling into a death spiral...
The idea of an independent prize pool is interesting, but it still seems vulnerable to being crushed by farmers.
Polymarket's mirror-style order book sharing design is indeed ingenious—achieving a clever liquidity balance through the Yes+No=1 mechanism. However, this approach is more suitable for leading tracks and mainstream prediction categories, as it requires sufficient market maker participation. For long-tail markets, especially social predictions, an independent order book model might be more efficient. Imagine separating Yes and No into two completely independent pools, with the eventual winning participants sharing all the rewards of the opposite pool proportional to their share—could such a design better incentivize initial liquidity for long-tail assets? Both mechanisms have their strengths; the key is to match the market depth and participant structure.