The Delusional $bull
DducZJ295xLz1MtP3rahxosArfzUedrsV53KoXQNpump
#crypto #altcoins $sol

$GLXY
Green volume bubbles appeared at the most critical level!

$MRNA
It has repeatedly failed to break above the red diagonal resistance. Can it succeed this time?

JUST IN: Trump’s Truth API data service faces resistance from major trading firms like Hudson River Trading and Citadel Securities, with some opting not to pay for faster access to market-moving info. If deployment widens, it could raise regulatory scrutiny around access to in...

JUST IN: South Korea's KOSPI opens up 3.38%, led by Samsung Electronics (+4%) and SK Hynix (+5%). Strong local risk sentiment could spill into broader tech-driven crypto equities and related ETFs. $KRW, $KOSPI

JUST IN: U.S. budget deficit for July hits a record, with debt interest payments over $1T so far this year. If fiscal strain persists, macro liquidity pressure could shift hedging and risk assets, including crypto. $BTC $ETH

Take the mouse away, intern! LOL

$CSCO
It made a BoS breakout 💥 from a flag like structure! Could it be starting a move similar to the one from 1990 to 2000? 😊

JUST IN: BlackRock’s ETF address just pulled sizable amounts from Coinbase Prime—about 1,019.27 BTC and 301.77 ETH in recent hours. This could signal continued institutional withdrawal activity from prime custody and potential accumulation dynamics. $BTC $ETH

The Fed’s moves to support the economy have become very clear. The latest data showed overall inflation falling to 3.4% and core inflation declining to 2.5%, combined with the previously weak employment data, making a September rate cut almost certain.
Next, we’ll continue keeping a close eye on these sectors⬇️
▶️Macro and U.S. stocks
The tightest liquidity cycle has passed. U.S. stocks will likely see a short-term rebound driven by rate-cut expectations, benefiting technology and growth sectors.
But in the mid-to-late stages, the market will quickly shift its focus back to fundamentals. If s

Tokenized U.S. stocks can be used to borrow money now
Who came up with this operation
@TermMaxFi added the Robinhood chain today
Q SPY NVDA can all be used as collateral
Borrow USDG at a fixed interest rate
Or deposit it the other way around to earn yield
The limited-time boosts are pretty substantial
Depositing into the vault gets you 120x
Borrowing gets you 10x
Playing options adds another 20x
Feels like things you could previously only do on exchanges
Can now be done on-chain too
By the way, their daily card draw is still ongoing
More than 100 have already made it

JUST IN: CPI slowdown cools rate-hike bets, while AI names rally; Bitcoin edges lower as equities drift. Watch for potential risk-on extension into crypto liquidity shifts. $BTC

Or wait for Tibo reset😉

$67 is getting interesting. 🧐
I took a closer look at @sixsevenapp and the current numbers caught my attention.
Here’s what the chart is showing:
• ~$29.1M market cap
• ~$349K liquidity
• ~$284K 24H volume
• 6,211 transactions
• 3,764 buys vs 2,447 sells
• 2,652 buyers vs 1,511 sellers
• $142K buy volume vs $141K sell volume
• +1.53% over 24H
The interesting part?
There are significantly more buyers than sellers, but the actual buy/sell volume is almost perfectly balanced.
That tells me there is strong participation around $67, but sellers are still absorbing a lot of the buying pressure.
An

JUST IN: Securitize (SECZ) drops ~20% after-hours as Q2 earnings miss expectations, with revenue $14.4M and a larger-than-expected loss. Could add pressure on tokenization ecosystem sentiment around the sector. $SECZ

"This is the true form of the power of participation."
Thorium does not ask for permission. It builds.
Mine Thor. Rise with the power. 💪⛏️ #ToriumNetwork #TOR #Web3 #Mining

$TOAD has bottomed
Higher 🐸

🔥Hundreds of Thousands of GPUs Sitting Idle at Once! xAI Exposes the AI Industry’s Computing Bottleneck
According to an internal memo leaked to overseas media, xAI has approximately 500,000 NVIDIA GPUs, making it one of the world’s largest privately operated computing clusters. However, its model FLOPs utilization (MFU) is only 11%, which has been described internally as “absurdly low.”
For comparison, mature tech giants generally achieve training MFU rates above 40%, while Meta and Google can reach 43–46%. An 11% MFU means that most of these expensive GPUs spend significant amounts of time s