#BTC After expectations of rate hikes rose, the market’s vote-with-its-feet response was: after dumping toward the range support, institutions accumulated and continued pushing the price higher
- The Fed is also playing a game of Tai Chi for now, still not saying whether it will raise rates in half a month, and will also refer to Friday night’s nonfarm payrolls data and next Friday’s CPI data
- If the trading range holds, a breakout after the FOMC is expected to drive a move toward around 86k, the backup bat’s strong resistance level
- If the range support breaks, there may be an opportunity t

$BTC 9.1 Daily Crypto Market Analysis
⚠️Risk warning: Cryptocurrencies are highly volatile. This content is for market reference only and does not constitute investment advice. Contracts with high leverage can easily lead to liquidation**
BTC is currently priced at 78400 USD. After a pullback in the previous few days, it has seen a technical rebound, with the price once again testing the overhead resistance. Short-term bullish and bearish forces have switched again, trading volume has risen moderately, and market sentiment has improved somewhat. However, selling pressure remains overhead, and

Monthly candle closes green. September is a season of harvest. Bitcoin again surged to around 79,200 in the early morning before facing resistance, with the bullish move failing to continue. The market is currently consolidating sideways. The 80k level for Bitcoin and 2,500 for ETH remain short-term resistance levels.
Expect a wide range during the day. Short-term upward momentum has slowed, but the pullback has not seen any significant increase in volume, making it more of a technical adjustment after the rise overall.
Long BTC at 77,800–77,300, target 79,000–79,500
Long ETH at 2,430–2,410, t

$LINK – "Range Squeeze – Watch Long"**
**Trading Plan Long $LINK
Entry: 11.41 – 11.43
SL: 11.38
TP1: 11.47
TP2: 11.50
LINK is up +2.86% at 11.41, rebounding off the Lower Bollinger Band (11.40) and reclaiming the Middle Band (11.44). MACD is flat. The 11.49 Upper Band is the immediate target. Break above the 11.47 high extends to 11.55. SL below the LB.
#GateEventContractTradeSharingChallenge

This move is so obvious I don’t even need to think—the account is dancing on its own😎. With the screen glowing green, I watched $SPCX ’s intraday chart as volume suddenly picked up, buying pressure strengthened, and it was obvious someone was quietly entering. I said it then: if it dares to drop, I dare to buy. Entered at 138.37, and with the current price up to 143.4, a +338.15% unrealized gain is right there⚡️. I timed the rhythm right, and the market practically forced these profits into my hands. In terms of execution, take 80% off the table first to lock in profits, and set the remaining

WTI above $86 and Brent near $91 as US-Iran tensions stay elevated; oil markets price in risk, keeping energy volatility elevated. $WTI $Brent

$Bull Is Coming—still no idea who’s actually playing it. Could it be the people stuck holding bags?😆

$0G LONG
Entry: 0.2434 – 0.2441
Stop Loss: 0.2243
TP: 0.2516 - 0.2730 - 0.2867

$CASHCAT – "High Volatility – Watch Short"**
**Trading Plan Short $CASHCAT
Entry: 0.2385 – 0.2395
SL: 0.2410
TP1: 0.2360
TP2: 0.2340
CASHCAT is up +15.51% at 0.2379, but is rejecting sharply from the 0.2475 high and the UB (0.2399). MACD is turning bearish. TP targets the LB (0.2354). SL above the UB.
#GateEventContractTradeSharingChallenge

There is now a smile 😊, smiling on Rb
100 2X is 200X
It’s not necessary to do 200X all at once

#GateIdleEarnAutoYieldUpTo3%Anthropic Signs Historic $35 Billion Cloud Deal with Nvidia-Backed Lambda
In a landmark move that underscores the intensifying race for artificial intelligence infrastructure, Anthropic has signed a staggering $35 billion cloud-computing deal with Lambda, a Nvidia-backed cloud provider. The six-year agreement, confirmed by sources familiar with the matter, grants the San Francisco-based AI lab access to massive computing power at a new data center in Texas.
The Deal at a Glance
The $35 billion partnership is structured around a data center being developed in Nueces

I meant to cut my losses and sacrifice the meat to heaven, but heaven never got the offering—the meat cooked itself.
When the dump hit early in the session, I saw a weak rebound, pitifully thin volume, and insufficient buying support. I judged this bounce to be nothing but ammo for shorts, so I told those following me to short at 0.9133. Some even laughed at me for being too hasty. Now it’s at 0.5415, +2889.34%, and those on board should all have woken up laughing.
Take profits first—don’t get greedy for the last bite. Pocket 80% of the position first, and move the stop-loss on the remaining 2

JUST IN: Social trading apps drove a surge in on-chain activity, with weekly volume near $1.3B as platforms edge toward higher-profile traders and public-hype dynamics. $BTC $ETH

JUST IN: Pons tops on-chain launchpad fee revenue in the past 24h, with over $500M in daily volume. FDV $412M and 29.3% of tokens burned. Could signal active launch activity benefiting Pons’ ecosystem. $PONS

Ethereum’s price action is relatively weak and currently remains range-bound. Intraday trading approach: closely monitor whether volume increases on the 2-hour timeframe; if volume expands, a rebound is likely.
Short-term support is at 2445; 2400–2416, with the strongest support below at 2305 and secondary strong support at 2370.
Breaking below 2410 will initiate a new correction cycle; breaking below 2370 will accelerate the decline, with the correction lasting at least 10 days.
The resistance zone above is 2484–2518, with the reversal level at 2550.
‍$ETH

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Found my spirit coin on Robinhood at @HotdogCostcoRH 🌭
I’ve got 5 hot dogs to give away — wants to join the club and eat?

#GateIdleEarnAutoYieldUpTo3% $35B Cloud Deal, A Major Signal for the AI Economy
Anthropic’s reported $35 billion cloud deal highlights just how quickly the artificial intelligence industry is moving from experimentation into large scale infrastructure. A commitment of this size is not simply about securing computing power. It reflects the enormous resources required to train, improve, and deploy increasingly capable AI models for millions of users and businesses.
The AI race is becoming an infrastructure race. Powerful models need massive amounts of GPUs, data center capacity, networking, stor