Back in November, the VOL/OI ratio debate around certain DEX platforms was pretty heated—folks were calling it out left and right. But here's the thing people sometimes miss: when you actually understand how these venues operate with high-frequency trading activity baked in, the math shifts. The venue structure and HFT mechanics create different dynamics than traditional order books. A "high" OI ratio that looks alarming on paper might actually make sense given the liquidity conditions and trading patterns you're dealing with. The sweet spot isn't about hitting some arbitrary benchmark—it's about maintaining a reasonable OI level that reflects real market activity without creating unnecessary friction. That's the nuance worth understanding before jumping to conclusions.
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GasFeeGazer
· 01-16 06:11
Ultimately, it still depends on the actual situation rather than surface data. Many people just like to criticize right away.
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InscriptionGriller
· 01-14 09:22
Uh... starting to defend high OI again, I've heard this explanation too many times. I just wish on-chain data could tell the truth.
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ChainSpy
· 01-13 11:59
Well said. The previous wave of public opinion was indeed too arbitrary, and they started shifting blame without fully understanding the operational logic of DEX.
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BlockchainFries
· 01-13 11:59
Surface data is misleading; those who truly understand the DEX mechanism know that these ratios shouldn't be viewed that way. But most people just like to throw out a number to criticize, just for fun.
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GamefiEscapeArtist
· 01-13 11:58
To be honest, every time something happens, someone rushes to draw conclusions without truly understanding the on-chain data and starts criticizing... The OI ratio approach really depends on the scenario; it can't be applied uniformly.
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ser_ngmi
· 01-13 11:46
Oops, it's another round of data debates, but to be honest, the high-frequency trading approach is indeed different from traditional methods.
Back in November, the VOL/OI ratio debate around certain DEX platforms was pretty heated—folks were calling it out left and right. But here's the thing people sometimes miss: when you actually understand how these venues operate with high-frequency trading activity baked in, the math shifts. The venue structure and HFT mechanics create different dynamics than traditional order books. A "high" OI ratio that looks alarming on paper might actually make sense given the liquidity conditions and trading patterns you're dealing with. The sweet spot isn't about hitting some arbitrary benchmark—it's about maintaining a reasonable OI level that reflects real market activity without creating unnecessary friction. That's the nuance worth understanding before jumping to conclusions.