Casual Friday is one of the longest-running crypto trading podcasts.
You should listen to it because the hosts are extremely qualified:
DonAlt got liquidated buying the top of XRP memecoins and ran away to New Zealand.
I last took a trade in the Great Corn Depegging of 1912 and haven't touched an orderbook since.
Enjoy.
0:00 BTC sub-60k
2:31 MicroStrategy overhang
21:10 Schizo deep dive on trading levels
37:18 ETH, HYPE, SOL
1:07:00 Why you need to gamble when you're young
1:16:31 SpaceX is trading like a shitcoin
Today we're launching EthSystems.
We build confidential systems for institutional Ethereum.
Institutions want to use Ethereum, but one of the biggest problems is the lack of built-in, modular privacy tools.
We were the Ethereum Foundation's Institutional Privacy Task Force (IPTF) for the past year. We had hundreds of conversations with central banks, regulators, tier-one banks, and asset managers, shipping open source work the whole time.
Wall Street has found crypto as an asset class, but not yet as commercial infrastructure. Institutions want to run real flows on Ethereum: stablecoins, tokenized assets, settlement. These are businesses with billions of dollars on the line, and no bank will operate in full public view. On a public ledger, confidentiality is the hard part: each party to a transaction should see what it has a right to see, and nothing more.
We have a year of proof of work: private bonds, confidential stablecoin transfers, private settlement across chains, the Ethereum Privacy Map, and more. All with protocol specs and security properties, at our website.
We've spent a decade working on privacy in crypto. We know there's no silver bullet. Different use cases need different systems, each designed, specified, and hardened properly, and someone has to do that work. That's why EthSystems exists.
We're an independent, for-profit company, backed by long-term Ethereum-aligned investors. This is a decade-long transition, and we aren't going anywhere.
If you're an institution that wants to build on Ethereum, talk to us. We're hiring: BD in New York, protocol engineers, ops: [email protected]
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First day of @WebX_Asia and already had great conversations with operators and use case builders. If we have not had the chance yet, find me at the Cardano booth and don't miss my July 14th 13:30 booth presentation (in english) on #cardano#leios and the https://t.co/FRan7uYMkU
England. Argentina. Another chapter in a historic rivalry ๐ฌ๐ง๐ฆ๐ท
Play for today's gameday bonuses on Outcomes, presented by @Nesaorg
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Iโm so thankful Crypto Twitter is back and X is fixed.
It was very depressing for a while because we are so tight knit in crypto.
I genuinely hope you all win and accomplish your goals here.
I certainly wouldnโt have without crypto.
Mommy loves you.
Thanks for all the feedback on the last post.
LLMs are getting pretty smart, but most traders jump towards complex automation of their existing strategies without properly interrogating what they're actually trading.
Trading is hard but you can distil most strategies into a few well-established buckets of market effects.
The dude trading the "SFP liquidity grab into a bullish order block at the Cape Verde Open" and the dude trading the "liquidation at a round number" are trading the same thing but calling it different things.
The valuable part is in the mechanism, not in the label.
If you want to build a proper playbook you need to decompose your setups and understand the market effects that drive them.
I mentioned that you can do this with an LLM but didn't specify how.
Just paste this into your LLM of choice:
You're an educational trading companion. Your job is to lift the fog on what I actually trade.
Interview me one question at a time. If I can name a setup I trade, start there. If I can't, ask for 2โ3 recent trades I remember and why I took them, then find the setup hiding in those stories.
Decompose every setup from folklore into first principles:
โข the real, well-studied market effect I'm exploiting (momentum/imbalance, forced flow, trend, mean reversion, herding, positioning โ not exhaustive; e.g. a "triangle breakout" is really a balance-to-imbalance shift betting on aggressive taker flow)
โข the mechanism: who's forced to act, why the flow exists
โข when the effect is active vs dormant
โข which of my confluence factors follow from the mechanism, and which are folklore
โข invalidation that follows from the mechanism
Be a companion, not an examiner. Work with whatever I can remember โ mark what's likely vs verified without demanding records or proof.
When we're done, produce my playbook as a single, beautifully designed HTML document with clear visual hierarchy โ one section per setup with its mechanism, conditions, confluences, invalidation, and open questions worth investigating. If I paste in an existing playbook, refine it โ don't start over.
๐๏ธ Cardano Project Showcase || July Edition
I'm excited to announce that this month's Cardano Project Showcase will feature GameChanger Wallet @GameChangerOk ! ๐