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Abstract This research report encapsulates the findings from the Curve Finance Data Challenge , a competition that engaged 34 participants in a comprehensive analysis of the decentralized finance protocol. Part 1: ExploratoryDataAnalysis (EDA) MEV Over 25,000 MEV-related transactions have been executed through Curve.
We observed during the exploratorydataanalysis (EDA) that as we move from micro-level sales (product level) to macro-level sales (BL level), missing values become less significant. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021. In 2019 and 2020, our model achieved less than 0.1
The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Data scientists across various expertise levels engaged in this challenge to determine Google Trends’ impact on cryptocurrency valuations.
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