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Deep Dive into On-Chain Value of 6 Cryptocurrencies | Leo Ku's Quantitative Screening Framework
In recent analyses of the crypto market, tokens like $STABLE, $ARBI, $DCR, $ATHAE, $B, and $CHZ have frequently attracted attention. Based on the latest developments of these projects, Leo Ku has proposed a more detailed quantitative analysis framework.
Multi-Dimensional Evaluation Beyond Liquidity Bias
Traditional usability preference indicators often focus on liquidity performance, but this analysis framework requires deeper on-chain evidence. Leo Ku’s methodology concentrates on three core dimensions:
On-Chain Speed and Protocol Robustness
First, assess the transaction speed and TPS (transactions per second) of these tokens on the blockchain. Next, track the sustainability of their underlying protocol revenues—specifically, whether the effective income generated per unit time can support ecosystem growth.
Quantitative Analysis of Relative Network Effects
The final key dimension is analyzing relative network effects. Leo Ku believes it’s necessary to compare the network value of individual projects both vertically and horizontally against similar competitors to determine their actual position and growth potential within the ecosystem. This quantitative screening method offers investors a more objective basis for decision-making.