3) ๐ช๐ต๐ฎ๐น๐ฒ ๐ฌ๐ ๐ด๐ฑ certainly knows when to buy and sell stuff.
He doesn't seem to be a very diversified trader and mostly has a focus on trading / accumulating the same projects but does a marvellous job at doing so.
One of his main plays this year has been $LDO.
4) His earlier purchases has made him a profit about halve a million dollars.
The time of purchase and sell has been pretty accurate to say the least.
5) His other main play? $AAVE
Although he didn't sell the top yet, he did purchase the absolute bottom this year.
His earlier purchases has made him a profit about halve a million dollars.
6) While it would be a tad bit to long to look at every single play in his entire portfolio we can look at this year's overall performance.
Keep in mind if you see a big jump or drop in the wallet's valuation like the start of the year it's likely a big purchase.
7) It doesn't always track regular ROI like a trade.
As such it's likely more accurate to see he mainly started with a valuation of 20 million dollars this year.
Ramping it up all the way to 32 million dollars at today's valuation.
8) His main convictions?
Although there's quite a list of multiple plays he mostly put his faith into:
$ETH
$LDO
$AAVE
$CRV
As we usually see with whale's this size, they mostly focus on trading well formed and proven protocols.
Buying low and selling high vs aping into shit.
9) His latest purchase 4 days ago?
$LDO again.
Making 50+ ''small purchases'' of 40k each likely to reduce slippage.
Whales benefit a lot from splitting up their big order for those who are wondering.
These types of purchases make us seem rather small doesn't it ๐
10) He has a track record of trading $LDO quite profitable so will this turn into a big win again?
Tough to say but it certainly does make sense considering there has been a big boost in interest in liquid staking due to the ''Ethereum Shapella upgrade''.
11) $LDO is one of the main plays of liquid staking in today's market which does give it added conviction.
It's tough to imagine #LIDO not doing well once the market picks up in volume again.
It even already did well this year.
We'll continue to monitor this from now.
12) If you are interested yourself you can track the wallet โ
The wallet:
0x85257f61bcf59f7498007d8e08d6efb7ac1eef4c
13) This thread was made to provide more insights into the behaviour of this whale.
Also the insight on how to track him!
One thing is for certain, I'm monitoring him closely and will keep you up to date once I see any changes.
Nova out โค๏ธ
14) If you like these threads consider giving me a follow @CryptoGirlNova.
I write guides to make you a better trader including 24/7 live updates on the market.
Like/Retweeting the first tweet below would mean a lot to me ๐๐
1/12 Study one of the fastest growing trading tools in the space, @ReadySwapBot.
Even the most loyal TG bot traders have been switching over, and for a few good reasons too, so let's dive in as to why.
๐งต๐
2/12 The options available for trading on Solana for a long time have not been perfect, given how new a lot of the tools were.
The idea behind RS was to create a platform that all traders can utilize, and cover any spots the other bots missed.
Let's see why RS stands out then.
3/12 ReadySwap Features
-> Customizable limit orders
-> Multi-wallets
-> Wrapped SOL mode for faster TX
-> Auto-Conversion to trade on any type of LP
-> Pumpfun trading and sniping/auto-selling the Raydium listing
-> Token Sniper
-> Smart Tipping
1/17 $NVDA is up 120% this year and 763% in two years, thanks to the AI-driven GPU shortage.
I've found a web3 project using spare GPU capacity, fixing the same issue in a new and decentralized way.
While NVIDIA's value soared, this project remains under the radar.
๐งต๐
2/17 @AethirCloud addresses the GPU shortage by leveraging underutilized GPUs from various sources, such as data centers, enterprises, and cryptocurrency mining operations.
Let's ๐คฟ into the details
3/17 Resource Pooling:
Aethir aggregates idle GPUs into a collective pool, increasing the supply of available computing power without the need for new hardware production.
This taps into the vast reservoir of underutilized GPUs, where utilization rates are only 10-15%.