Lower NFT trading fees lead to increased wash trading? 🤔

Given the lack of direct incentives, @opensea's trading data before and after lowering their fees should contain some insights

Unfortunately, wash trading seems like an inevitable byproduct of lower fees 😔

🧵 1/5 Trading volume

Between January 1st and February 17th, my wash trading filter flagged 0.7% of OpenSea's trading volume

This past week, 5.4% of total volume was flagged as wash trading, it even reached 11% on February 7th

2/5

NFT royalties and fees have been extensively discussed with virtually no data, so let's look into a few charts 🧐

Did you know that @blur_io started paying more to creator ~20 days before @opensea changed its policy on fees?

🧵 1/8 All the charts in this thread can be found on my new 𝗡𝗙𝗧 𝗥𝗼𝘆𝗮𝗹𝘁𝗶𝗲𝘀 𝗮𝗻𝗱 𝗠𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲 𝗙𝗲𝗲𝘀 @DuneAnalytics dashboard💰🏪

Dashboard: dune.hildobby.xyz/NFT-Fees

2/8

I just reworked my 𝗘𝗧𝗛 𝗦𝘁𝗮𝗸𝗶𝗻𝗴 @DuneAnalytics dashboard from the ground up 🥩

TLDR;
🆕 Migrated to Dune v2
🔓 Open-sourced tables on spellbook
👥 Added more entities I uncovered
📊 Added some charts

Dashboard: dune.hildobby.xyz/ETH-Staking I migrated the entire dashboard to Dune v2 and as part of the migration created the following tables on spellbook:
- staking_ethereum.entities: List of identified staking deposit addresses.
- staking_ethereum.deposits: All ETH deposit events.

Code here: github.com/duneanalytics/…

I made an open-source wash trading filter available for all to use on Dune v2 and managed to flag $30B of NFT wash trades - that's ~44% of volume traded 🤯

🧵 I wrote about it in this article highlighting:
❓What wash trading is and some context
⚙️ How my method works
🧮 The resulting data
🪄 How you too can use it

Article 👉 dune.hildobby.xyz/NFT-Wash-Analy…

As we head into the merge, I thought it would be interesting to look into current Ethereum staking stats 🥩

Thus far, 80k addresses have sent a total of 13.7M $ETH to be staked, that's ~11.4% of ETH's current circulating supply. Let's look into a more granular breakdown 👀🧵 1/ Liquid Staking 💧

Liquid staking remains predominant thanks to @LidoFinance having facilitated over 30% of all staked ETH. Looking into liquid staking marketshare we have the following:

.@DuneAnalytics is a great resource for free & always up-to-date on-chain stats 🔥

I've been building & using the tool for over a year and here are my 20 favourite high-level Ethereum dashboards 🧵⭐️ 𝟏. 𝐄𝐭𝐡𝐞𝐫𝐞𝐮𝐦 - 𝐓𝐡𝐞 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 🦇🔊 (by me)

This dashboard provides a high-level overview of the Ethereum blockchain, including stats on addresses, blocks, transactions, smart contracts, price & more.

1/20
dune.com/hildobby/Ether…

This week, @coinbase announced their $ETH liquid staking token called $cbETH and minted 643k on Ethereum mainnet 💧🥩

Unfortunately, they are yet to prove that they have 643k+ $ETH currently staked, that's critical information all liquid staking providers should disclose 🧵 𝟏. 𝐂𝐨𝐧𝐭𝐞𝐱𝐭

Here is a thread explaining the launch of $cbETH

https://twitter.com/CoinbaseAssets/status/1562476695357358080

Vested $LOOKS tokens from the @LooksRare private sale unlocked a few hours ago and ~74% have already been redeemed 🧵 1/ 1,504 $ETH ($5.7m at time of raise) were originally raised from 71 angels for 33m $LOOKS.

The ROI is currently:
+528% in $ETH 📈
+102% in $USD 📈

Curious about the stats of a specific DEX pool? Checkout this dashboard where you will find: volume, generated fees, TVL, token prices, yield, impermanent loss, APY... 📊

All @Uniswap (v1, v2 & v3) & @SushiSwap DEX pools are supported!

Here 👉 dune.xyz/hildobby/DEX-P…

🤏🧵👇 1/ Use the parameters at the top to change what is shown:
- 𝐆𝐫𝐚𝐧𝐮𝐥𝐚𝐫𝐢𝐭𝐲: Change it to aggregate the data by daily, weekly, monthly or yearly
- 𝐏𝐨𝐨𝐥: Input address of the studied DEX pool here
- 𝐒𝐢𝐧𝐜𝐞: First computed date
- 𝐔𝐧𝐭𝐢𝐥: Last computed date

I just updated my 𝑊𝑎𝑠ℎ 𝑇𝑟𝑎𝑑𝑖𝑛𝑔 𝐹𝑖𝑙𝑡𝑒𝑟 for @LooksRareNFT data on all of my concerned dashboards. It now also filters out sales of tokens traded 3+ times the same day 🧼

🤏🧵👇 1/ You can read about my previous filtering method here 👇

https://twitter.com/hildobby_/status/1489706897259175948?s=20&t=UoYEkk8Tgy8Fz5nQFG2pRg

Today it's easy to find overall stats for the @SushiSwap platform but I had trouble finding an analysis on SushiSwap's $SUSHI token specifically so I made a @DuneAnalytics dashboard where I analysed it 🍣📊
Here is a 🧵 all about it 👇 1/ You will first stumble across the price and volume (split between buy and sell volume) chart for the most traded $SUSHI pair, SUSHI/WETH on @SushiSwap, all converted into dollar value.
The token's market cap is also shown in $USD and $ETH value over time.