How is the application progress of prediction markets in the Web3 ecosystem? Taking the prediction market feature integrated into a mainstream wallet as an example, over the course of about a month since launch, the average daily active users have stabilized between 300-400, and the total transaction volume has exceeded $700,000.
From this data point, user engagement is still decent, but there is still room to expand transaction depth and market liquidity. As one of the important application scenarios in Web3, prediction markets involve multiple functions such as event prediction, risk hedging, and information discovery, but they are currently still in the relatively early exploration stage.
To achieve larger-scale user adoption and transaction volume growth, key factors may include: optimizing product usability, enriching the prediction event database, community liquidity incentive mechanisms, and further integration with mainstream application ecosystems. The development potential of this field is worth continuous observation.
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Whale_Whisperer
· 38m ago
300-400 active users is really still too few; this data looks a bit cold.
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SmartContractPlumber
· 2h ago
300-400 daily active users can't support a $700,000 trading volume? The fragmentation of liquidity is a bit outrageous, how many whales are throwing money around...
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GraphGuru
· 12h ago
300-400 daily active users? That data really isn't great, gotta improve.
700,000 in trading volume sounds decent, but it really depends on the retention rate.
Predictive markets are all about liquidity; nobody's really playing.
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HodlVeteran
· 17h ago
300-400 active users, $700,000 in transactions... This is the legendary "potential stock." I was also fooled into jumping on board back then.
There's no liquidity, and you still want large-scale adoption? First, stabilize the fundamentals, bro.
Market prediction is nothing without real incentives; I bet five bitcoins it will end in failure.
Honestly, it's just a rebranded gambling game. Can't you package it more modestly?
Wait, is this data real? It feels even quieter than the few dead coin exchanges I played on.
If it's in the early exploration stage, then let's wait and see. Experienced traders have already seen through this trick.
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ThreeHornBlasts
· 01-11 22:01
Having only 300-400 daily active users is really quite sad; the liquidity is completely insufficient for playing.
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0xSleepDeprived
· 01-11 22:00
300-400 daily active users is nothing; you need over ten thousand to see real progress
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AirdropAnxiety
· 01-11 21:59
300-400 daily active users? That data alone doesn't tell us much; it still feels too niche.
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CryptoDouble-O-Seven
· 01-11 21:56
300-400 daily active users and you're already calling it a trend? With such poor liquidity, it's still early. It just feels like a warm-up before harvesting the leeks.
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ContractFreelancer
· 01-11 21:55
You want to tell a story with 300-400 daily active users? With such poor liquidity, do you still dare to bring it up?
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LightningAllInHero
· 01-11 21:49
300-400 daily active users is indeed a bit dull. What can we infer from this data?
How is the application progress of prediction markets in the Web3 ecosystem? Taking the prediction market feature integrated into a mainstream wallet as an example, over the course of about a month since launch, the average daily active users have stabilized between 300-400, and the total transaction volume has exceeded $700,000.
From this data point, user engagement is still decent, but there is still room to expand transaction depth and market liquidity. As one of the important application scenarios in Web3, prediction markets involve multiple functions such as event prediction, risk hedging, and information discovery, but they are currently still in the relatively early exploration stage.
To achieve larger-scale user adoption and transaction volume growth, key factors may include: optimizing product usability, enriching the prediction event database, community liquidity incentive mechanisms, and further integration with mainstream application ecosystems. The development potential of this field is worth continuous observation.