brian-terra
34. DeFi Users vs Newbies
Jul 7, 2021 - A poor attempt at this bounty, but still some interesting information! Over the last 7 days, how the totals of UNI holders (>100UNI) vary in other holdings!
54. Supplied Token Comparison
Jun 21, 2021 - Query brings back the most recent data for compound.market_stats - then provides the latest totals on all of the underlying symbols for supply, reserves, and borrows. Highest Supply (USD) - USDC with ~$2.959 Billion Highest Reserves (USD) - DAI with ~$13.5 Million Highest Borrows (USD) - DAI with ~$1.91 Billion
Flipside Tournament - Angel Donations
Apr 22, 2023 - I am encouraging people to donate to Angel during this Flipside Tournament!
31. Voting Power Distribution
Jun 28, 2021 - For this dashboard, I used ethereum.events_emitted to query the uniswap governance voting power data. There is only data as recent at 6/17/2021, so I provided 2 charts + datasets. For the first, we look at getdate() - interval '30 days' and for the 2nd one, we look at the last 30 days where uniswap voting data existed.
6. Peg Variance
Jun 24, 2021 - For this dashboard, we take a look at the stablecoins in terra.oracle_prices The stablecoins that I am querying are the following:'UST','AUT','CAT','CHT','CNT','DKT','EUT','GBT','HKT','INT','JPT','KRT','MNT','NOT','SDT','SET','SGT','THT' As a reference point for the target/peg of the stablecoins, I averaged every day's price for the last six months. Then I took the minimum price points and maximum price points for each symbol to provide a range for each stablecoin for the variance it had in relation to the average. This dashboard provide: A running chart of Average Stablecoin Price for each symbol for the last 6 months. A chart representing the percentages UNDER the average stablecoin price for the last 6 months. A chart representing the percentages OVER the average stablecoin price for the last 6 months. There are a few days that stand out for the greatest stablecoin peg variance, with the greatest variance over the last 6 months being February 7th for all stablecoins being UNDER the average by a significant amount, and February 8th for all stablecoins being OVER the average by a significant amount.
46. What happened to leveraged borrowers with the crashes?
Jun 15, 2021 - Taking a look at liquidations over time for Compound. Scary stuff - especially with the recent crash! First I put together the two charts you see below: Liquidations Over Time by Token (since 5-1-2021) - Daily Chart Total Liquidations Over Time (since 5-1-2021) - Daily Chart You can clearly see how significant the crash was on May 19th. In order to determine if this has ever happened in the past and what trends could be drawn from it, I had to take a look further back in time. I created two additional charts on the following: Liquidations Over Time by Token (for all time) Total Liquidations Over Time (for all time) Here you can clearly see that for this timeline of data, no liquidation has ever occurred at the levels that occured on May 18th, 2021.Even 4 days later, on May 22nd there was a second round of liquidations that really crushed a large majority of people that I am assuming "bought the dip". There were a few other rounds of liquidations that occurred on these dates: November 25th, 2020 January 10th, 2021 February 22nd, 2021 But these are still dwarfed by the magnitude of the most recent crash on May 18th and May 22nd. ADDED - USD Value for Liquidations Charts. Wanted to see USD values as well. *****Changes made - The USD Value for liquidations amounts on earlier crashes actually exceeds the most recent crash! This is new information! This tells me that most recently, the number of liquidations is higher because people are beginning to DIVERSIFY! They have their money more widespread into different tokens, thus reducing the chance that all their positions will be liquidated. I suspect that they will continue to diversify into more and more tokens. Of course if the entire market crashes, the majority will still liquidate but people are still spreading their eggs into many different baskets as time goes on!***** The fact that there were opportunities for this amount of liquidations, tells me that people are continuing to buy the dips all along the way. If you looked at the November liquidations back then, you would have thought that that was the worst round of liquidations ever seen. But as we could see in May, there were still a lot more to be had. This tells me that there still may be more to be had. If this bull run in all of crypto continues, we may see people continuing to buy this dip only for another steep drop and even larger round of liquidations happening. Time will tell! I also included a chart of total liquidations since May 1st for additional info. Neat metric.
LunaBulls - Iced Out - All Traits
Jan 18, 2022 - This dashboard displays the breakdown of all traits held by Iced Out bulls.
23. Gas Fees on Failed Uniswap Transactions
Jun 15, 2021 - What an awesome metric to study! I'm proud of this one :D Very little difference between all ETH and only Uniswap. This dashboard contains the following data/charts: Uniswap Average Gas Fees - Success vs Failed - Percentages (90 days - daily) Failed Gas Fees - Percentages (90 days - daily) Uniswap Average Gas Fees - Success vs Failed - Percentages (30 days - daily) Failed Gas Fees - Percentages (30 days - daily) Uniswap Average Gas Fees - Success vs Failed - Percentages (7 days - hourly) Failed Gas Fees - Percentages (7 days - hourly) These two charts + datasets are generated by calculating the total number of transactions (succeeded + failed) and then multiplying it by the average price for the hour or day, respectively. Conclusion **After reviewing this data, there has been no significant change in the past 7 days or 30 days, but on the 90 day trend we see there has been a continual increase in fees given for failed transactions.** I have also included some charts of the total number of successful vs failed transactions at the bottom of this dashboard. Not as significant because it doesn't account for the fees themselves, but it is interesting to note the total number of failed transactions vs successful. Note the one hour - June12th 10:00 that failed transactions exceeded successful. This is the only time that occurred.
Loop LP Metrics
Jan 27, 2022 - https://docs.google.com/document/d/19de-ZyQaKqHCWd7odRH2MgdOosHWNbDy7pU8VOJX3YA/edit
22. New User Activity
Jul 21, 2021 - Using the answer to this bounty as reference material, map the inflows of new users to Terra against inflows of assets to different projects in the ecosystem like Mirror, TerraSwap, and Anchor. When people come to Terra, what is the first thing that they do? Has that stayed the same or does it change with, say, new product releases?
Total Number of ETH Transactions $1k vs $1m
Jun 4, 2021 - Additional metrics regarding ETH transactions $1k or less VS $1million or more.
36. Active LPs New Position Count
Jul 14, 2021 - For the 10 most active LPs in WETH - USDC pools, how many times have they opened a new position when they had an existing position they could have repurposed in the past 30 days?
23. Gas fees on failed Ethereum transactions
Jun 14, 2021 - What an awesome metric to study! I'm proud of this one :D This dashboard contains the following data/charts: Ethereum Average Gas Fees - Success vs Failed - Percentages (90 days - daily) Failed Gas Fees - Percentages (90 days - daily) Ethereum Average Gas Fees - Success vs Failed - Percentages (30 days - daily) Failed Gas Fees - Percentages (30 days - daily) Ethereum Average Gas Fees - Success vs Failed - Percentages (7 days - hourly) Failed Gas Fees - Percentages (7 days - hourly) These two charts + datasets are generated by calculating the total number of transactions (succeeded + failed) and then multiplying it by the average price for the hour or day, respectively. Conclusion **After reviewing this data, there has been no significant change in the past 7 days or 30 days, but on the 90 day trend we see there has been a continual increase in fees given for failed transactions.** I have also included some charts of the total number of successful vs failed transactions at the bottom of this dashboard. Not as significant because it doesn't account for the fees themselves, but it is interesting to note the total number of failed transactions vs successful. Note the one hour - June12th 10:00 that failed transactions exceeded successful. This is the only time that occurred.
3. [Hard] Opensea Fees
Aug 25, 2021 - Find the wallet that collects Opensea fees. Make a dashboard showing how much Opensea has earned through Polygon transactions. Show fees earned in USD total, and also by token amounts. Also show the top 10 NFT’s generating fees for Opensea on Polygon.
Uniswap Grant Program v3 - Analytics Dashboard
May 28, 2021 - This dashboard investigates a wide range of Uniswap analytics. Including top-ranking pools/swap, total liquidity transactions and swap transactions - broken down by token, totals, and daily/hourly increments.
Can we trace the Bitcoin?
May 14, 2022 - Find and observe BTC trading data and correlate it to de-pegging events since Friday, May 6. Is it possible to observe unusual patterns of short positions for BTC or UST? Compare and contrast to the Black Wednesday attack. What was similar? What was different?
NEAR vs L2s Stats
Oct 11, 2023 - Some adjustments made, but TPM Data from https://flipsidecrypto.xyz/Sajjadiii
19. Active Liquidity
Jun 2, 2021 - Objective: Find the 5 largest liquidity pools in Uniswap V3. What percentage of positions and what percentage of virtual liquidity (liquidity_adjusted) are currently out of range? When this occurs which is the approach most taken: updating the range or waiting it out. - It seems as though for the extreme DAI/USDC/USDT relationships, that the only option is waiting it out. Conclusion: The only two pools that were considered to be "out of range" by my calculations where DAI-USDC 500 10 and USDC-USDT 500 10. I define pools that are "out of range" to be positions where the liquidity adjusted is greater than gross liquidity. These percentages are fairly negligible, but can be calculated to be the following: With 129,584 (USDC-USDT 500 10) positions, 91 positions would be .07% out of range. With 97,541 (DAI-USDC 500 10) positions, 103 positions would be .106% out of range. Finally, I compared the total sum of position liquidities vs the gross liquidity for each pool, and got the following results: Position Liquidity vs Gross Liquidity DAI-USDC 500 10 - 129,962% USDC-USDT 500 10 - 97,879% USDC-WETH 3000 60 - 18.10% WETH-USDT 3000 60 - 10.57% WBTC-WETH 3000 60 - 0.09% Really interesting to see the DAI/USDC/USDT relationships SIGNIFICANTLY outweighing the WETH and WBTC relationships. Not super surprising given the lower-risk potential there, but still amazing to see it written in the data. Please take a look at all of the data below for my references.
Flipside/Angel Delegations
Dec 15, 2021 - Here you can see I redelegate 5 Luna each to the Flipside Validators and Angel Protocol Validator.
Keypom.xyz Stats Dashboard
Aug 8, 2023 - Currently for 'create_account_and_claim' only. Claims where they create a new wallet at the same time as the claim. Working on adding other claims as well. (therefore NEAR unclaimed will be off because I need to add the other claims on there)
SQL Adept Exam - Ethereum Data
Jul 3, 2021 - In order on the dashboard: 1. Compute these two metrics: sum of transactions per day, and count of distinct addresses that initiated a transaction (i.e. the “from” side). 2. Compute the sum of transactions per day by label type. 3. Compute the USD denominated volume on Ethereum per day. 4. Identify the top 10 addresses per day ranked by transaction count. Note - I set block_timestamp > 2021-06-01 to limit the amount of data we are returning. Looking at all of the ethereum data can obviously be a bit heavy for the query :)
14. Whale Activity
May 28, 2021 - Investigating uniswap whale activity via total transaction volume based liquidity movements. Also taking a look at total transaction/swap volume. Comparing total transaction volume, increasing/decreasing positions, and swaps. Using only data after 5/15/2021 to specifically target the recent drop. Defining "whale" activity as any transaction/swap with a value of $100k USD or more. 6 charts total, broken down by the following: Total $100k+ liquidity increase/decrease transactions, daily and hourly breakdowns. (2 bar charts) Total $100k+ swap transactions, daily and hourly breakdowns. (2 bar charts) Total $100k+ liquidity transactions (increase + decrease added together), daily and hourly breakdowns. (2 bar charts) Notes - May 19th was the only day where liquidity decreasing transactions were greater than increasing. May 19th had the highest number of $100k+ swaps as well. I was surprised to see the total number of $100k+ liquidity transactions for May 19th did not stand out.
NEAR Developer Activity - Last 30 Days
Oct 3, 2023 - All github developer data for owners with at least one commit in the last 30 days.
Low cap transactions (<=$1k) vs high cap transactions (>$1m)
Jun 4, 2021 - UNISWAP - liquidity provider Transaction metrics for $1000 or less VERSUS $1000000 or more. These first 4 charts are the most significant because they show the Increase VS Decrease of liquidity in small vs large transactions. Notice - for the $1m+ transactions, whales were adding to their positions instead of decreasing. For the transactions <=$1k, they were decreasing their positions HEAVILY. I believe this says a lot about retail investors and general panic in the market.
Geometry Runners Features
Aug 29, 2021 - I recreated a large majority of the Features listed on https://rarity.guide/project/138
3. Transaction Fees
Jun 28, 2021 - Here I use terra.swaps to compare the total daily fees for each terra stablecoin. It is clear to see that UST produces the largest amount of transaction fees. There is a large spike of fees paid on June 17th for UST, but not for the other stablecoins. If we take away UST (see the 2nd chart below) you can see that the fees paid is a lot closer between the stablecoins. The top 3 after UST seem to be KRT, MNT and SDT - with the remaining stablecoins looking to be fairly negligible in comparison.
