🚨 LATEST: BlackRock ETF clients sell $116.05 MILLION worth of Ethereum.

All your fav kols in here but still they cant cross 100k
Tf we doin bros

Tonight's livestream document
Save it if needed. As for a market breakout, it may happen Sunday night; there may be another wave tomorrow. $BTC $ETH
#美联储9月纪要偏鹰

ICYMI, last week I compared @worldnetwork and @Concordium’s different approaches to private identity.
This week I went through some of their docs, and I found a few more things that make those differences a bit clearer when it comes to AI agents.
World starts with proof of personhood. A verified human can delegate their World ID to an agent, proving that a real, unique human sits behind it. That’s especially useful for Sybil resistance.
Concordium $CCD approaches the problem differently:
Its Agent Registry gives the agent its own onchain identity anchor, linked to the verified human or busines

ethereum:native ain't done yet either - these lows gonna get swept
Our shorts are on FIRE.

$ZEC Damn, this wave won’t stop until it breaks below $1,000.

$NASDAQ 100 ETF drops 1.59% in the last 24 hours, currently trading at $745.72

Many people’s first reaction after being stuck in a losing position is to hold on stubbornly, only to see their losses grow larger.
Being trapped in a long position is not the worst part; emotional trading is.
Do not blindly add to your position to average down, and do not panic-sell at the bottom.
First clarify the current trend, identify support and resistance, and plan the pace of reducing and rebuilding your position.
Getting out of a losing position is not about recovering everything overnight; it relies on proper position management and a clear trading plan to gradually recoup the losses

Take a good look at the content of this livestream—the script was already laid out in advance.

Does a bullish moving-average alignment necessarily indicate a healthy uptrend?
Not necessarily. $ER The current MA5=0.06678 is higher than MA20=0.065545, indicating a bullish structure on the surface, but the price of 0.0623 has fallen back below both moving averages, suggesting that short-term momentum is weakening—this is a typical case of “moving averages lagging while price leads.” To determine whether the trend is healthy, focus on three points: whether the price can hold above MA5, whether RSI can stay above the midpoint, and whether the funding rate is supportive. Currently, RSI=43.7 i

#FedSeptemberMinutesLeanHawkish
Fed September Minutes Maintained a Hawkish Tone: Another Hike Before Year-End?
The minutes of the Federal Open Market Committee (FOMC) meeting held by the U.S. Federal Reserve (Fed) on September 15-16 clearly showed that the institution remains determined to combat inflation and is maintaining its hawkish stance. The minutes detail the rationale behind the unanimous interest-rate hike decision and the perception of risks for the period ahead.
Decision and Voting Structure
At its September meeting, the Fed raised the policy rate by 25 basis points, bringing it t

$MUBARAK Haha, I'm back again.

Our Crypto Talk Narrative Chart:
✦ RWAs
> Under 50M:
PROPS | BKN | CPOOL
> 51-100M:
CFG | PROPY | ZIG
> 101-200M:
TRU | PLUME | CPOOL
> 201M+:
SYRUP | ONDO | PENDLE
✦ DePIN
> Under 50M:
AUKI | ACURAST | NATIX
> 51-100M:
IOTX | IO | HNT
> 101-200M:
GEOD | ATH
> 201M+:
THETA | AKT | FIL
✦ Privacy
> Under 50M:
RAIL | FIRO | ANYONE
> 51-100M:
ZANO | DUSK
> 101-200M:
ZAMA | ZK | ZEN
> 201M+:
XMR | ??? | ???
✦ Game-Fi
> Under 50M:
CREO | NAKA | GFAL
> 51-100M:
RON | UNIPOLY
> 101-200M:
GALA | BEAM | SUPER
> 201M+:
SAND | AXS | MANA
✦ Layer 1
> Under 50M:
CCD | KTA | FLOW
> 51-100M:
QUBIC
> 101-200M:

#晒出我的持仓收益 When others are greedy, I am fearful; when others are fearful, I am greedy!!!

One more reminder of why stock selection matters more than ever in this market.
This is exactly where the Cryptic Research System comes into play.
Position accordingly.

bitcoin:native $78,800 is Weekly support.

$RLC What do we say about this one?😎

"institutions are here"
"institutions won't let Bitcoin crash"
Do you think institutions were also in the stock market here?
Institutions are part of the crowd too. They're made up of humans
Human behavior is what causes this stuff
Not signals
The signals show the human behavior because its easier to read and predict from numbers than it is from reading the collective and individuals at scale
But I assure you, reading the collective and individuals at scale is the most accurate signal you can find