eren
City Amidst the Storm
Nov 17, 2022 - Provide a thoughtful analysis of how NEAR is weathering the market turbulence that occurred as a result of FTX’ insolvency. You can include baseline measures, e.g. token price, transaction volume - but go beyond that and apply your analysis skills. Choose and define at least 2 measures of ecosystem health, and assess how NEAR is performing on those metrics between the week of 11/7 and 11/14.Grand prize winners will also compare NEAR to at least one other Layer 1 blockchain ecosystem (Solana, Algorand, Flow, etc.), using the 2 measures provided. The goal is to gain a better understanding of how both NEAR and other ecosystems respond to market conditions that heavily affect one of their peers (in this case, Solana). Some examples of health metrics: Unstaking - how many people are pulling up stake NFT sales vs. buys and if it’s materially changed (are people dumping their NFTs for capital) Stable % of trade activity — are users fleeing or buying the dip?
Avalanche Swaps vs Transfers (Redux)
Dec 8, 2022 - Examine Avalanche USDC(0xB97EF9Ef8734C71904D8002F8b6Bc66Dd9c48a6E- https://snowtrace.io/token/0xb97ef9ef8734c71904d8002f8b6bc66dd9c48a6e) swaps vs transfers and mints vs burns using the new fact_event_logs data and avalanche.core.fact_traces data. Lets look at volume of USDC swaps vs transfer by hour since 7/1. What is the average amount of USDC transferred vs swapped? Show number of unique swapper addresses vs transfer addresses by day for USDC Next lets look at mints and burns of pairs involving Lets look at the volume of USDC mints and burns by hour since 7/1 How many unique wallets are minting and burning USDC by day What is the average mint vs burn for USDC by day Note anything else interesting about USDC transactions