At month-end, the blue line (target 67,500) with the label “month-end blue line” closed at the highest position, the black line (below 62,500) came next, and the green line (70,000) was at the lowest; in July, the Bitcoin price reached 67,500, failed to hold above 70,000, and did not drop below 62,500. The mainstream market’s bullish expectation for 67,500 has been realized.

7.27 BTC analysis
Analysis: Near 643-648, aim for a light pullback move; look at 660-665.
For shorting, you can wait for a rebound to around 66000 to set short positions; defend at 66500; targets look toward 65000.
BTC on the 1-hour cycle: The market previously saw a sharp drop that dipped to the 636 low, then found support and rebounded, successfully reclaiming the 650 level. At this stage, when price pushes up to the 655 resistance, it starts to correct back; in the short term, it has shifted into a range-bound consolidation pattern. Short-term moving averages still maintain an upward tren

🐋 WHALE WATCH :TradFi isnt waiting around anymore.
Ahead of the August recess five powerhouses holding over $30T in combined assets have thrown their weight behind the CLARITY Act:
=> BlackRock
=> Fidelity
=> Goldman Sachs
=> Charles Schwab
=> Grayscale
When $30T+ demands clear regulatory guardrails between the SEC & CFTC Congress listens.
This is the green light Wall Street pensions and sovereign funds have been waiting for. Mega bullish long term.

JUST IN: Four-party payment scam in Inner Mongolia saw 2.95B yuan settled via 10 third-party providers; some commissions paid in USDT, with a few wallets moving millions of USDT.
Implication: ongoing crypto-enabled illicit payments are drawing regulatory and judicial scrutiny...

When the screen is full of green lights, it’s easiest for people to rush to catch the dip—and also easiest for them to forget how to manage their short positions. During the intraday plunge, I first looked at the strength of $TAO ’s pullback; I found the rebound remained weak, and after it dropped, there wasn’t a quick recovery—the shorts didn’t exit.

Earlier, TAO surged around 258.4 with relatively low volume. The price looked like it was being pushed up, but in reality, no one was willing to keep taking orders. I then advised waiting for sell pressure to dissipate, and followed the plan to

#Trading Bot #我正在 Using the PIEVERSEUSDT contract Martingale bot on Gate—come follow the trades with us! #合约挑战 The take-profit level set yesterday has already been reached! #挑战合约涨幅榜前十 Brothers! When it hits the take-profit level, it automatically gets executed. Today we continue the challenge of the top ten gainers leaderboard—day two!

7.27 Pancake analysis
Analysis: Do it around 1960, at 1680 for defense, and target 1920-1900.
In the one-hour cycle for Ether, the market launched a rebound off the 1846 bottom support. It then successively held above the 1900 and 1930 pressure levels, and pushed upward to the 1966 area. After spiking higher in the short term, a technical pullback and shakeout followed, but the price has continued to trade above the short-term moving averages. The bullish structure has not been broken, and the 1930 area has shifted from resistance into an important support zone. On the news side, the market co

A-shares can rest now. A higher open is absolutely a very negative signal for the overall Sci-Tech Innovation Board Index sentiment. If it followed the earlier idea—opening low and then rallying to leave room for gains for the secondary market—that could still boost sentiment. But now it looks like not only did day1 clearly not give any opportunity; how long the sideways trading range for entry points after this will be is hard to predict. Basically, it’s time to sleep.

Are pregnant women so stylish now?

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🐋 WHALE WATCH :China is officially winning the open weights meta.
Moonshot AI making Kimi K3 completely free and open for public download is a shot across the bow to US closed source giants.
=> 2.8T parameters
=> 1M token context
=> Zero per token API lock in
The best AI models arent going to live behind paywalled APIs they are going to run on your own clusters.
Big Tech is going to have to rethink its entire pricing strategy real soon. Thoughts ?

Violent rebound after a sharp drop! 4020 lifeline holds—aiming for 4150!
On Friday’s late session, gold surged to 4119 but met resistance and fell back. In today’s Asian session, it opened with a gap higher and then moved upward in a range; after the low probed the key support at 4020, it bottomed out and rebounded. It is currently trading near 4107, with an intraday gain of about 1.2%. Overall, the market is showing a recovery pattern of “bottoming out and rebounding steadily.” Long and short positions are locked in fierce contention, and the 4020–4030 zone is an important near-term defense l

Did nothing—just went to the restroom, and when I came back the candles had already done the work for me. During those repeated intraday oscillations, $AAVE looked pretty dull at one point, but the price still never broke down through the key support/receiving level—the real change was hidden in the details.

After I saw that AAVE was able to pull back and then hold its ground, the bottom range-bound action didn’t keep sinking. There were buyers stepping in below, and the bid wasn’t suddenly chaotic—rather, it gradually pushed the momentum back. Based on that judgment, I gave the prompt to g

Hello, X support, yes this is the $BNKR team, get off your asses and figure out what’s going on!

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7.27 B2$ETH short analysis
Entry: 1960 - 1980 short
Defensive stop-loss: 1986
First target: 1925 - 1935
Second target: 1905 - 1915
In the early session, B2 surged and hit an intraday high of 1966.97, then subsequent rebound highs gradually declined. Overall, it formed a structure of surging up and falling back, with a step-by-step pressure-driven downward move. In the short term, rebound momentum keeps shrinking. This rally is only a weak consolidation repair after the end of the upswing. Bulls lack sustained incremental capital, so it’s difficult to reverse the current pressured market.
1960

Open AI models may matter more than any single AI company.
Jensen Huang and Elon Musk both understand the same basic idea:
AI only changes the world when millions of people can build with it—not when access is controlled by a few companies with billion-dollar infrastructure.
Today, only a small number of firms can train frontier models, operate massive data centers and afford the computing required at scale.
Open models reduce that barrier.
They allow startups, researchers and individual developers to:
• Build their own AI agents
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