Ding, successful liquidation detected for the host. The 10,000x liquidation cashback system is about to awaken. Activate?

📡 Signal card · reposting without taking sides
Source: Shu Qin live trading (captured by BTCSOS) Asset: $BTC Short entry: 83900 Stop-loss: 85000 Targets: 82900 / 81900 / 80800 Time: not specified
I only repost this as-is; judge its authenticity and quality for yourself. Whether to follow and how large a position to take are entirely your decision. Don’t get carried away, and don’t go all in on a single trade. 😅
Shared for personal record-keeping; not investment advice. #US 10-year Treasury yield falls to 4.845%

November 6 Midday Bitcoin:

On the short-term 1-hour chart, the price continued to decline after reaching around 81169. It is now trading below the BOLL middle band, with the bearish trend in control. MACD is below the zero line, with DIF below DEA. The green bars are gradually narrowing, indicating that downward momentum has eased somewhat.

The overall daytime pullback trend remains unchanged. The current move is a pause and recovery amid the decline. If the rebound fails to hold above the middle band, there is still a risk of further downside. Only a sustained move above the middle band wou

11.6 ZEC Public Strategy
[Short idea] $ZEC
　　Entry range: around 1320-1340
　　Stop-loss: 1360
Staggered take-profit levels
　　First target: 1280
　　Second target: 1240
Third target: around 1210
Fourth target: below 1180

Factors: The 4H price is holding above the Bollinger Bands middle band, and the current price is close to the market's average cost. MACD is above the zero line, so bullish momentum remains. Order book depth shows bears in control, with many small retail traders exiting their long positions. This is a different structure from the major market trend.

Reco

#美股史诗级抛售 #Gate股票畅聊季 #WCTCS9 $NVDA The direct trigger for this sell-off was investors beginning to reassess the policy risks facing the AI industry's rapid expansion after Democrats scored a major victory in the U.S. midterm elections.
Democrats gained ground in Congress and several states, raising market concerns that tighter AI regulation and local restrictions on data center construction could delay investment in U.S. AI infrastructure. UBS analysts estimate that about 30% of the data center capacity expected to be added in the U.S. in 2028 could be affected by potential construction morato

What Is Layer 2? Why Does It Make On-Chain Transactions Cheaper?
In the Web3 world, high transaction fees and network congestion have long been concerns for users. Layer 2 networks are a technical solution developed to address these issues. But why can they lower costs? Does using Layer 2 mean transactions are always cheaper and safer?
First, what is Layer 2?
Using Ethereum as an example, Layer 1 is the Ethereum mainnet, responsible for validating basic transactions and providing security. Layer 2 processes large numbers of transactions outside the mainnet and, depending on its design, submits

A crypto veteran is here to cheer on the AI bulls 😂

What is momentum trading? Why can sustained price increases attract more buying, and why can momentum suddenly fade?

In cryptocurrency markets, sustained price increases may attract more traders to buy along with the trend, while sustained declines may trigger more selling. Momentum trading seeks opportunities by capitalizing on the possibility that these trends will continue, but a rise does not mean prices will necessarily keep rising, and momentum can weaken or even reverse at any time.

First, what is momentum trading?

Momentum trading is a trend-following strategy that primarily looks a

Who has the authority to freeze your digital assets? 🔐

In the Web3 world, there is a question every digital asset holder should carefully consider:

If assets are held in your own wallet and you manage the private keys yourself, why might you still be unable to transfer them in some cases?

To answer this question, we first need to understand one thing:

“Asset freezing” does not have just one meaning. Different freezing mechanisms may involve entirely different permissions, technical rules, and risks.

First: Trading platforms may restrict accounts.

If your assets are held on a centralized

Look closely—can you tell?

Compute is no longer a moat; politics is starting to put the brakes on AI.

Democrats’ AI regulations have moved from slogans to rules: energy use, compute procurement, and model audits are all being tightened. Microsoft giving up its right to expand capacity, put simply, means handing the spending risk over to policy. It would rather build less than bet wrong.

IPO valuation logic is changing too: from “discounting future compute” back to “pricing current cash flow.” As the bubble deflates, companies with customers and gross margins will be seen again.

The deciding factor in the next round o

The real threshold for AI agents: Connecting tools is easy, but reliable collaboration is hard
AI agents are trying to connect to search engines, data platforms, office software, and blockchain applications. In theory, with the right interfaces, they can complete tasks across different tools. But the real question is: once connected, can these tools work together consistently and accurately?
First, interface interoperability does not mean business interoperability. Even if two platforms can exchange data, they may use different data formats, identity systems, and permission rules. Without unif

I went out for a walk today and noticed that urban management officers are now using autonomous patrol vehicles.

A camera on top, red and blue lights on the roof—the tech vibe is off the charts.

Seeing this thing made me think of crypto: there are still loads of people manually watching the charts 24 hours a day, afraid of missing a single 5-minute candlestick.

The world has moved on to self-driving cars, yet some people still insist on driving their crypto investments straight into a wall. 😂

Actually, I started using my own “self-driving system” a long time ago.

Every day at 3 a.m., it

Amid partisan power struggles, everything else becomes a casualty. Crypto is suffering, and so is AI. Are they even going to let the Democrats take office? 😂

1: Congratulations to the subscribers! Last night’s JCT spot trade gained up to 18%, from the tweet price to the first take-profit level.
Recap:
Yesterday’s JCTUSDT pickup code: tweet price 0.00379, short.
Best entry: 0.004-0.0044. While I was writing the tweet, the coin wicked upward, reaching a high of 0.00459. To be safe, I moved both the original best entry and stop loss up a little. In hindsight, the price action after the wick was still stable. Of course, if the best entry wasn’t reached, only the initial position entered at the current price remained.
Stop loss: 0.0045
First take-profit

#USTechSelloff. #USStocksFaceHistoricSelloff
Oracle Could Lead the Next AI Applications Rally
The US technology market is facing heavy selling pressure, but I believe the AI revolution is far from over. Instead, investors are changing their priorities. Previously, the focus was on AI chips, servers, and data centers. Now investors want to see real revenue, sustainable profits, and measurable returns from AI investments.

My main focus is Oracle (ORCL) because its cloud infrastructure, enterprise software, and database technology could position it strongly in the next stage of AI adoption.
1.

On Nov 5, BTC faced resistance on a rebound near 76,500. Consider opening a small short position, with targets at 75,500/75,000.
Those looking to go long should wait for the price to stabilize near 75,200 before entering. Set a stop at 74,800, with targets at 76,000/76,500.
On the 1-hour chart, the price plunged from a high of 81,188, with a wick down to 75,158, then consolidated and recovered at the lows.
The moving averages are diverging bearishly, and the rebound is weak. 76,500/77,000 are short-term resistance levels, so bears still have the upper hand for now. $BTC #BTC

Tong Ge's 11.6 ETH outlook
$ETH Short near 2260-2280, stop loss at 2300, targets 2200-2150-2100

Up 200 one day, down 200 the next. Yesterday's high reached 2449, while today's low plunged to 2205, making for an almost 500-point A-shaped crash in two days. The longs were still celebrating wildly yesterday, thinking the bull market was back, but today the market showed a completely different face and taught them a lesson.

Look at the chart now: the daily candle is a huge bearish candle that engulfed everything, while the 4-hour chart has formed a guillotine pattern, even breaking below the low