  Blockchain technology and, in particular, blockchain-based cryptocurrencies
offer us information that has never been seen before in the financial world. In
contrast to fiat currencies, all transactions of crypto-currencies and
crypto-tokens are permanently recorded on distributed ledgers and are publicly
available. As a result, this allows us to construct a transaction graph and to
assess not only its organization but to glean relationships between transaction
graph properties and crypto price dynamics. The ultimate goal of this paper is
to facilitate our understanding on horizons and limitations of what can be
learned on crypto-tokens from local topology and geometry of the Ethereum
transaction network whose even global network properties remain scarcely
explored. By introducing novel tools based on topological data analysis and
functional data depth into Blockchain Data Analytics, we show that Ethereum
network (one of the most popular blockchains for creating new crypto-tokens)
can provide critical insights on price strikes of crypto-tokens that are
otherwise largely inaccessible with conventional data sources and traditional
analytic methods.
