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11 Aug, 4 tweets, 1 min read
probably best r/r play I've seen
#welikethecats
who just minted 300+ lol
@garyvee no dump on me plz

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More from @mevcollector

MEV Collector Profile picture
12 Aug
Applying technical analysis to NFTs?

Analysis of @pudgy_penguins, @alphabettyNFT, and @PurrnelopesCC using @nansen_ai.
1. Illiquidity of NFTs fundamentally causes significant volatility.

Price action reflects emotional biases:
liquidation cascade => flipper/panic sellers realize their life savings are in jpegs
up only => price discovery/FOMO further fueled by canceled listings
2. Besides looking at the price floor, SMA is a nice way to confirm demand zones and predict momentum.
@pudgy_penguins sat near the 0.8-1 ETH demand zone, after a breakout with significant volume, before trending higher. ImageImage
Read 6 tweets
MEV Collector Profile picture
11 Aug
Best NFT trades come from following the smart money. You can have 100 people spamming Discord with memes, but whales decide the bottom/top.

A look at @PartyPenguinNFT and @alphabettyNFT using @nansen_ai
1. @PartyPenguinNFT originally had a 0.03 mint price (excl. gas) and was down bad for holders (~66% down) for a few days. Yet top whales continued to have diamond hands till it sold out, then dumped for a strong 7-10x ROI.
2. @alphabettyNFT had a 0.03 mint price (excl. gas) and experienced volatility as flippers sold. Top holders though continued to hold and account for 68% supply. And now the price seems to be trending up as they shill.
Read 5 tweets
MEV Collector Profile picture
9 Aug
Turning ~11 ETH to 82 ETH in 7 days flipping NFTs.

A thread
1. Initially minted 3 Cells at an average of 0.7 ETH from the @artblocks_io drop because of the hype, but they bricked.

Started to look for a more data-driven approach to buy.
2. Enter Twitter Analytics & @nansen_ai

Scraped Discord servers (@BoredApeYC, @artblocks_io, @coolcatsnft) to track twitters of early members.

Signed up for Nansen trial and watched NFT Paradise for newly launched contracts.
Read 8 tweets

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