Sweetcheeks (🌲,🌲) retweeted
Worth giving @hufhaus9 & @pear_protocol a follow. Huf has an awesome Tradfi background with an excellent feel for the market. His trades are always transperant & publicly accessible 🔥
✅ $25,000 -> $100,000 done
every trade in public, real-time, only on @pear_protocol
and now we just launched copytrading.
click this button: app.pear.garden/copytrade
Starting fresh at $50k -> ?
✅ $25,000 -> $100,000 done
every trade in public, real-time, only on @pear_protocol
and now we just launched copytrading.
click this button: app.pear.garden/copytrade
Starting fresh at $50k -> ?
gm ☕️
$25K → ? (Public Challenge)
Fresh wallet
Alerts every time I enter/modify/close a trade on @pear_protocol
TG channel link below 🍐
Sweetcheeks (🌲,🌲) retweeted
Introducing copy trading on Pear.
Pick a leader onchain and copy their trades at no extra fees to you, or earn from people following your trades.
First 20 funded signups receive $50 in additional copy trading capital to their account.
app.pear.garden/copytrade
Sweetcheeks (🌲,🌲) retweeted
$PEAR, the flagship token behind Pear Protocol, is live on Hyperliquid spot.
app.hyperliquid.xyz/trade/PE…
Sweetcheeks (🌲,🌲) retweeted
$PEAR's Token Migration Portal is live.
Trading opens on Tuesday on Hyperliquid. 🍐
app.pear.garden/portfolio/mi…
Sweetcheeks (🌲,🌲) retweeted
My friend @hufhaus9's project is already a successful dex...but its more than that...its also a trading tool.
@pear_protocol has an AI agent that suggests the best ratio for asymmetric assets. For example, it suggests a 33% long $WLD and 67% short $BTC trade for optimum 🍐pair trading.
Sweetcheeks (🌲,🌲) retweeted
Strive(@Strive) bought another 3,311 $BTC ($276M) at $84,500 last week.
In less than 2 months, #Strive has bought a total of 11,417 $BTC ($952M) at an average price of $82,281.
sec.gov/ix?doc=/Archives/edg…
xitter.cf/lookonchain/status/210…
Strive bought another 2,000 $BTC ($168.84M) at $84,422 last week.
Since Aug 24, #Strive has bought a total of 8,106 $BTC ($659.6M) at an average price of $81,374.
xitter.cf/lookonchain/status/210…
Sweetcheeks (🌲,🌲) retweeted
AguilaTrades(@AguilaTrades) got liquidated 10 minutes ago!
AguilaTrades got wrecked on both sides! He lost $331K going long on $BTC, then flipped to short and got liquidated.
hypurrscan.io/address/0x1f25…
xitter.cf/lookonchain/status/210…
Talk about bad timing!
@AguilaTrades went long on $BTC after over 6 months of inactivity, only to get hit by a market crash.
He closed his $BTC long for a $331K loss, then flipped short, opening a 40x short on 200 $BTC ($16.35M).
Liq. price: $82,703.32
xitter.cf/lookonchain/status/210…
Sweetcheeks (🌲,🌲) retweeted
.@Mantle_Official ethereum L2 EXPLOITED FOR 500m 🚨‼️
Stop losing money directionally trading perps and/or doing random sized pair trades with path dependencies and beta drift
join the 62% @pear_protocol
let’s cook @trader1sz
i really do like what the @pear_protocol team is doing. wish i discovered them before
they dont sponsor me but hopefully they do soon, i dont mind them.
see if they can afford it lol as i request alot for sponsorships lol...but im worth it with my view and use of product lol
been playing with cross pairs alot, il discuss that to in stream
you can literally remove the dollar risk part and just play strength with weakness amongst pairs and not care what btc is doing
you can use my ref link if u wish, il ask if they can do discount on fees, no promises
app.pear.garden/trade?referr…
Sweetcheeks (🌲,🌲) retweeted
i really do like what the @pear_protocol team is doing. wish i discovered them before
they dont sponsor me but hopefully they do soon, i dont mind them.
see if they can afford it lol as i request alot for sponsorships lol...but im worth it with my view and use of product lol
been playing with cross pairs alot, il discuss that to in stream
you can literally remove the dollar risk part and just play strength with weakness amongst pairs and not care what btc is doing
you can use my ref link if u wish, il ask if they can do discount on fees, no promises
app.pear.garden/trade?referr…
Sweetcheeks (🌲,🌲) retweeted
#1 on the @pear_protocol leaderboard after taking 1 trade (long ZRO short ETH)
Sweetcheeks (🌲,🌲) retweeted
Thanks to fracking, America is now by far the world's largest oil producer.
Sweetcheeks (🌲,🌲) retweeted
After my conversation with @PrimordialAA I went long ZRO/ETH
In an attempt to isolate the alpha I decided to pair it through @pear_protocol which I have been using lately and thoroughly enjoy.
They need to work a bit on the interface but overall I think this is the *smart* way to trade
I had a great conversation with @PrimordialAA
A ton of alpha here.
We talked about the projects that he thinks were the best to work with, the future of tokenization and how LayerZero is thinking of returning value to token holders
We also got into how Citadel, DTCC and other major trading houses thought about their investment into layer zero.
Bryan is an exceptional entrepreneur, and I’m excited to see what they come up with next
youtu.be/0LiqT2WEd3Y?is=Am2x…
Sweetcheeks (🌲,🌲) retweeted
I have to take a moment to talk about what just happened and why @keccakdog and my devs are so amazing.
We work way to much so we are always online. We instantly see the news and know that the hacker has AVAX, and we see that its actually on-chain.
It was pretty obvious selling was going to occur so we turned off fee algorithms that are automatic on these pairs and cranked them manually for the inevitable.
He dumps over the course of 2 hours, we missed some, but captured a massive amount (150k ish in 2 hours).
We really do have the best tech and best devs, because I almost guarantee most dexes would have just sat idle but we saw opportunity for our holders from a bad situation.
Not trying to dunk on anyone I just wanted to commend my devs for all the efforts they put in that make us so nimble and quick to respond to wild situations that happen in our space.
Sweetcheeks (🌲,🌲) retweeted
Had a small basket open from April of this year via @pear_protocol, just think it's interesting to look back at some of these prices and my picks from back then compared to now.
Also think it's a great opportunity to reflect on the year so far. Everyone seems to think I can't miss right now, but I've had tons of big losing trades and whiffs on the year.
1. I made way less money on $ZEC that I probably should have. It used to be included as a long leg in this basket, but I manually closed it ~breakeven in the low $300 after the infinite mint scare. Despite being pretty early to $ZEC, it's probably accounted for only a percent or two of my years PNL.
2. Got absolutely smoked by being short $UNI. Fortunately I did very small size in this account and didn't put the larger shorts on until much higher. Completely underestimated that it's still considered "core DeFi" and is a very name brand blue chip. I still see it as similar to $COIN; bearish but scary to short boomer/TradFi first entry point to crypto if I'm betting on mass institutional adoption. I feel much comfier shorting at these prices though.
3. Correlated to above, totally whiffed on Robinhood Chain. Quite literally made $0 from $PONS, $UP, $ARB, $CASHCAT etc. Correctly identified that it'd be bearish my $SOL longs at the time, but didn't realize how successful it'd be.
4. I don't think I executed around the $HYPE bottom as well as I could have. I'm much better at trading options now than I am back then, but I think the $28-33 $HYPE was especially a time where my execution/sizing didn't match my views. I was willing to go "all in" there and I was looking at a 500,000x$35/45 $HYPE CS that I didn't pull the trigger on. Still had tons of exposure, but it could have been an absolute BBQ instead of just a solid cook.
5. Actually wished I went much harder on $LIT. Felt extremely high conviction that $1-2 was cheap, but treated it more like an altcoin pick than a core holding like $HYPE. Another good example where my sizing didn't match my conviction.
Overall I think occasionally "clearing the board" and reconstructing your portfolio from scratch is a great exercise to really make sure you aren't just sitting in old, stale bags that no longer match your thesis. This account still ended up being up around 50% since April, so not too bad.
I think for a lot of you guys, sizing not matching conviction is the biggest issue. I think one of the best lessons from poker is that the difference between pros and amateurs isn't really how often they win hands (card distribution pretty even for everyone over a large enough sample size), it's how much they win when they get good hands and how little they lose in bad spots. It's all about avoiding blowups and being all in for the really high conviction spots.


































