追梦人 蓝鸟会
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NFT No Longer a Gamble: #Bubblemaps Exposes Wash Trading Tactics
The depth of the NFT market is beyond imagination: the floor price of a certain series doubled overnight, but in reality, the project party used 10 wallets to buy and sell among themselves; a certain "rare version" fetched sky-high prices, but it's just a false prosperity of transferring assets between hands. The visualization tool of #Bubblemaps is exposing these tactics to the sunlight, bringing NFT investment back to its fundamental value.
Its NFT special analysis function directly addresses industry pain points:
- Concentration Analysis: Bubble charts visually display the distribution of holders in a certain series. When 5 addresses hold over 70% of the collectibles, the system will automatically alert "High Control Risk". A certain popular PFP project once claimed "wide community ownership", but data showed that the top 3 addresses controlled 82% of the collectibles, with regular transfers occurring. After the warning was issued, the floor price of the series plummeted by 68%.
- Counterparty Verification: When a certain NFT is sold for 100ETH, the system will automatically trace the historical transaction records of both the buyer and seller. If there are multiple mutual transfer records between the two parties, or if the seller transfers ETH back to the buyer's wallet within one hour of the transaction, it will be marked as "Suspected Wash Trading", along with a timeline chart.
- Whitelist Tracking System: Real-time monitoring of the NFT movements allocated to the whitelist by the project party. When these addresses appear to sell off in concentration, users are immediately pushed alerts. In a certain well-known project, 200 whitelist addresses collectively cashed out within 48 hours after launch, allowing BMT users to successfully avoid losses through early warnings.
Unlocking these advanced features requires holding $BMT tokens, allowing access to in-depth data such as NFT staking records, historical transaction prices, and deviations from true value for a certain address, shifting NFT investment from "looking at images" to "looking at data".
$BMT #Bubblemaps
The depth of the NFT market is beyond imagination: the floor price of a certain series doubled overnight, but in reality, the project party used 10 wallets to buy and sell among themselves; a certain "rare version" fetched sky-high prices, but it's just a false prosperity of transferring assets between hands. The visualization tool of #Bubblemaps is exposing these tactics to the sunlight, bringing NFT investment back to its fundamental value.
Its NFT special analysis function directly addresses industry pain points:
- Concentration Analysis: Bubble charts visually display the distribution of holders in a certain series. When 5 addresses hold over 70% of the collectibles, the system will automatically alert "High Control Risk". A certain popular PFP project once claimed "wide community ownership", but data showed that the top 3 addresses controlled 82% of the collectibles, with regular transfers occurring. After the warning was issued, the floor price of the series plummeted by 68%.
- Counterparty Verification: When a certain NFT is sold for 100ETH, the system will automatically trace the historical transaction records of both the buyer and seller. If there are multiple mutual transfer records between the two parties, or if the seller transfers ETH back to the buyer's wallet within one hour of the transaction, it will be marked as "Suspected Wash Trading", along with a timeline chart.
- Whitelist Tracking System: Real-time monitoring of the NFT movements allocated to the whitelist by the project party. When these addresses appear to sell off in concentration, users are immediately pushed alerts. In a certain well-known project, 200 whitelist addresses collectively cashed out within 48 hours after launch, allowing BMT users to successfully avoid losses through early warnings.
Unlocking these advanced features requires holding $BMT tokens, allowing access to in-depth data such as NFT staking records, historical transaction prices, and deviations from true value for a certain address, shifting NFT investment from "looking at images" to "looking at data".
$BMT #Bubblemaps
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