Summary
"Kasuria applies data science to blockchain data with a purpose to provide its users (financial institutions/bank/ financial regulators) with clarity on how a specific Decentralized Finance applications generate profit and how risky they are. This data enables the customers to optimally align their own investments in cryptocurrencies and tokens as well as other ""DeFi"" (Decentralized Finance) services. The actual data are quantitative investment metrics using performance and risk indicators that can be calculated retrospectively, i.e. from historical transactions on blockchains, using data analytics. Kasuria's customers need this data for their research and reporting purposes (e.g. for benchmarking or the securities prospectus according to local financial regulatory requirements- such as requested by BaFin in case of Germany) and in particular to be able to quantitatively under- or substantiate the asset selection as part of their own fund and investment strategy."
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Web resources: | https://cordis.europa.eu/project/id/101102760 |
Start date: | 01-07-2023 |
End date: | 31-12-2023 |
Total budget - Public funding: | - 75 000,00 Euro |
Cordis data
Original description
"Kasuria applies data science to blockchain data with a purpose to provide its users (financial institutions/bank/ financial regulators) with clarity on how a specific Decentralized Finance applications generate profit and how risky they are. This data enables the customers to optimally align their own investments in cryptocurrencies and tokens as well as other ""DeFi"" (Decentralized Finance) services. The actual data are quantitative investment metrics using performance and risk indicators that can be calculated retrospectively, i.e. from historical transactions on blockchains, using data analytics. Kasuria's customers need this data for their research and reporting purposes (e.g. for benchmarking or the securities prospectus according to local financial regulatory requirements- such as requested by BaFin in case of Germany) and in particular to be able to quantitatively under- or substantiate the asset selection as part of their own fund and investment strategy."Status
SIGNEDCall topic
HORIZON-EIE-2022-SCALEUP-02-02Update Date
31-07-2023
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