《What Drives Cryptocurrency Trading? Chainbase's $C Token Has Already Decoded the 'Data Key'》

AI cryptocurrency trading and on-chain predictions are hot topics, but what they lack the most is 'clean data'—either the data is incomplete, causing AI predictions to be skewed; or the format is incorrect, requiring two weeks just to preprocess the data for training models. However, @Chainbase Official has already cracked this 'key': its full-chain data network has amassed 50 billion pieces of clean data, from historical Bitcoin prices to the NFT holdings of a certain wallet. With the connection to AI models, training can begin immediately. There’s now an AI tool for cryptocurrency predictions that has improved its accuracy to 68% using its data, which is 20% higher than similar tools. Even traditional financial institutions are getting on board: a certain fund used its on-chain data for cryptocurrency asset risk control, reducing losses by $3 million in a single quarter.

Its ChainbaseDB is an 'intimate assistant' for AI: the integrated VectorDB can quickly search for 'collectibles similar in style to a certain NFT,' while GraphDB can extract 'associated accounts behind a certain address.' Previously, this required specialized tools; now, it can be done with a simple interface adjustment. The $C token is not only a paid tool, but staking also grants priority access to new features. Recently launched, the 'real-time on-chain sentiment analysis' interface allows users who stake 1000 $C to access it three days early. @Chainbase Official is also collaborating with several AI laboratories, subsidizing developers with $C to train models, and over 50 AI + Web3 projects have already been implemented. #chainbase is turning data into the 'fuel' for AI; the value of #chainbase $C is no longer just about cryptocurrency trading, #chainbase .