If unfamiliar w/ granger-causality: it's a statistical test that checks whether one set of data over time has predictive power over another - e.g., for the protocols reflected in the icon map, we've shown that fee changes have predictive power over future marketcap changes.
1kx
@1kxnetwork
12-03
A few noteworthy examples that have granger-causality, but in both directions: @XRP_Alerts, @SuiNetwork, @ton_blockchain, @JupiterExchange, @LidoFinance, @arbitrum, @rendernetwork, @AxieInfinity, @zksync
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Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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