Anyone who has conducted prediction market research has probably encountered the same problem: your carefully designed arbitrage strategies look perfect on paper, but when launched, they leave you dumbfounded. The issue isn't with your mathematical formulas; it's that the market simply lacks liquidity.
This phenomenon has recently become particularly evident with Polymarket. Last year, they launched a US real estate prediction market, which sounds very innovative, right? But in reality, these markets only see a few hundred dollars in daily trading volume. There's a lot of buzz on social media, but the market remains cold and quiet. The gap is so large that it's almost ironic.
What's really going on? We decided to let the data speak.
We collected historical data from 295,000 Polymarket markets, and the results were a bit eye-opening: 67,700 markets, or 22.9%, have cycles shorter than 1 day; 198,000 markets, or 67.7%, have cycles under 7 days. In other words, two-thirds of the markets are ultra-short-term.
Even more astonishing, among these ultra-short-term markets, 21,848 are still active. Sounds like a lot? Check the trading volume: 13,800 markets had zero trading volume in the past 24 hours, accounting for 63.16%. That means roughly 60% of active markets are actually untraded.
It's like low-level battles in PvP games—seems lively, but in reality, there's little liquidity. The liquidity problem in prediction markets might be more severe than we imagined.
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HashRateHustler
· 12h ago
This data is incredible; it looks perfect on paper but falls flat in reality—it's exactly my blood, sweat, and tears story.
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WhaleWatcher
· 12h ago
It looks perfect on paper, but I was stunned—this is the true portrayal of crypto.
Polymarket's data is quite bleak... Why does it always drop the connection when I check the hotness?
60% of the market has no trading volume, even more desolate than I imagined...
Another project that loudly claims liquidity is sufficient but gets slapped in the face by reality.
The contrast between discussion volume and trading volume is so stark, I really can't hold it together.
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NftMetaversePainter
· 12h ago
honestly polymarket's liquidity death spiral is exactly what happens when you stack hype on top of zero-sum mechanics... the data here is just brutal, like watching a generative algorithm produce only noise
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FarmToRiches
· 12h ago
Wow, this data is really incredible. 63% of the market is not being traded? That's even worse than me betting with friends in the group.
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BuyHighSellLow
· 13h ago
Once the data is out, the illusion is shattered; paper arbitrage is all a bubble of fantasy.
Anyone who has conducted prediction market research has probably encountered the same problem: your carefully designed arbitrage strategies look perfect on paper, but when launched, they leave you dumbfounded. The issue isn't with your mathematical formulas; it's that the market simply lacks liquidity.
This phenomenon has recently become particularly evident with Polymarket. Last year, they launched a US real estate prediction market, which sounds very innovative, right? But in reality, these markets only see a few hundred dollars in daily trading volume. There's a lot of buzz on social media, but the market remains cold and quiet. The gap is so large that it's almost ironic.
What's really going on? We decided to let the data speak.
We collected historical data from 295,000 Polymarket markets, and the results were a bit eye-opening: 67,700 markets, or 22.9%, have cycles shorter than 1 day; 198,000 markets, or 67.7%, have cycles under 7 days. In other words, two-thirds of the markets are ultra-short-term.
Even more astonishing, among these ultra-short-term markets, 21,848 are still active. Sounds like a lot? Check the trading volume: 13,800 markets had zero trading volume in the past 24 hours, accounting for 63.16%. That means roughly 60% of active markets are actually untraded.
It's like low-level battles in PvP games—seems lively, but in reality, there's little liquidity. The liquidity problem in prediction markets might be more severe than we imagined.