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ETH Merge: Selling Event?
Sep 29, 2022 - Was the Merge a selling event? Why or why not? Were miners the source of sell pressure? Show any wallets miners have transferred ETH into, along with any other visualizations you think will add to your analysis.
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?
Untitled Board
Nov 2, 2022 - Art Gobblers is a pre-reveal NFT project that generates "goo" when you feed it (upload) art you've created. Some say the project is revitalizing NFTs in the bear market - Compare various metrics across NFT activity to support or oppose that idea. Then evaluate how the project's metrics stack up to other top NFT collections before their art reveals. Create a dashboard that shows off stats for Art Gobblers NFTs, and compare it to other top collections. Include at least these metrics, along with any others you find notable or interesting: Mint volume Total and Average Sales Volume Secondary Sales vs Mint sales Daily Average Sales Price and 7-day moving average Floor price % of Gobblers Listed Total Unique Buyers Social Mentions/Shares Any available metrics on GOO token and art uploads Broader activity in the NFT space
Tourist Journeys
Oct 26, 2022 - Select one of the key Districts from the NEAR tournament, and compare it to a similar district in another “city” (that is, another Layer 1 blockchain). Look at the past 90 days and visualize the relative progress of these two L1s, using at least 3 metrics of your definition.
Additional Swaps Required to Offset Emissions
Oct 4, 2022 - Swap/economics: How much swap volume does THORChain need to offset emissions? (maybe a tool?)
FLOW Speed (redux)
Dec 12, 2022 - Flow is fast, but how fast? 6 months ago, we asked for a comparative analysis on blockchain speed - how has Flow increased its speed in transaction per minute since? Compare Flow and other L1 blockchains in terms of speed: identify the monthly average for transactions per minute, and how that's improved or worsened since the beginning of 2022. What types of events have raised or decreased the blockchain's performance over that time period? Are there bursts of transaction volume or interest on the chain? Compare Flow's speed to at least two other blockchains.
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
Decentralizing Power: Governance & the Active Set (Part 1)
Nov 2, 2022 - Props 114, 196 & 337 were all passed in an effort to promote decentralization within the ecosystem. How did the voting power of the top 66% of the active set validators change after these proposals were passed? How did the nakamoto coefficient change after these events? Did time play a factor? Analyze both voting power & the nakamoto coefficient t+30,+60,&+90 days after these proposals.
Flash Bounty: Miners
Sep 11, 2022 - Do certain miners prefer mining blocks with lower transaction count? Do certain miners only mine blocks with high transaction count? You can define what can be considered low or high transaction count based on the transaction count distribution
