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$XAU ‌ (Gold) Trend: Bearish The price has the potential to decline toward the 4,098–4,073 area. The price failed to break through the 4,131 resistance level. Selling pressure is evident following a rebound. Short-term momentum is beginning to weaken. Alternative scenario: If the price manages to break firmly above 4,131, there is potential for a bullish move toward 4,140. Conclusion: Currently bearish, though not yet fully confirmed. Await further confirmation.

Note: Crypto and stock transactions carry the risk of loss. Please conduct your own research (DYOR) before trading. This informatio

$ZCAT 150mil mcap to 15mil mcap. Savage retrace. But one to keep an eye on if it finds a floor and reverses on HTF
I’d wait for a clear floor and reversal before entering. We’ve seen this playbook continue to bleed out so many times.

$XAG – Bearish Bias (Correction) The price has the potential to move lower or sideways in the short term. - The previous sharp rally is beginning to lose momentum. - The price is facing resistance in the 53.00–53.15 area. - Should selling pressure intensify, the price may test the 52.51 level. - A breakout above 53.15 would reopen the possibility for a bullish move. Conclusion: Mildly bearish, with the potential for a correction as long as the price remains below 53.15.

Note: Crypto and stock transactions carry the risk of loss. Please conduct your own research (DYOR) before trading. This in

Build a small position in $JCT to capture potential long-term upside. – Long entry: 0.010– 0.011 Stop-loss: 0.0081 Take-profit 1: 0.014388 Take-profit 2: 0.021907 Take-profit 3: 0.028496 Small position only. Volatility is high after the recent rally.

The crypto total market cap is showing some hope here! 👀
I’ve already added a few spot positions to my bag, and I’m keeping another DCA in mind.

Current Price:
$BTC : $74000
$ETH : $2100
$BNB : $685
$SOL : $85

##USAIStocksHitHard

The US stock market is facing strong pressure, and AI-related stocks are taking a big hit. Many investors are watching the technology sector closely because recent market weakness has created uncertainty.

Artificial Intelligence has become one of the biggest topics in the global financial market. Many companies are investing billions of dollars in AI technology, data centers, chips, and cloud services. However, investors are now paying more attention to company profits, business growth, and future expectations.

When major AI stocks fall, it can also affect overall market

Still adding $RYFT at these levels price seems to be stabilised
Team is rolling out 3D Agentic Game Creation now. Beta testers get it first this week after they tested it for a month and a half.
Founder made it clear they stabilized first then put the bigger product in people’s hands while the chart finds its footing.
That’s the order I want from a team I’m holding longer term.
Sitting around $11.5M MC after pulling back from the ATH. Good time to DCA or start a position imo if you’re still in on the AI game narrative like myself. My biggest holding on RH chain currently, if it pulls a $NEUR

I am NOT a chinese spy :)

#英伟达突发风波股价承压CEO
The third item was already on the table before the scandal. Sales of NVIDIA's H200 chips to China were already under Congressional scrutiny through regulations such as the Remote Access Security Act, the AI OVERWATCH Act, and the Chip Security Act.

What is new is this: Jensen Huang was the strongest voice arguing that sales to China should continue. Now the same person is at the center of a China-linked intelligence allegation. This weakens NVIDIA's bargaining power in Washington. Senator Elizabeth Warren's call in late October for the board to investigate also shows this pre

I had spotted both of them well, limit-up after limit-up, with #bsoke #yeotk

Franklin Templeton Uses OpenAI to Compare Stock Research

Fund managers often have several research reports on the same stock piled on their desks: their views are not entirely consistent, and they describe risks differently. Franklin Templeton is using OpenAI to have an AI workflow assist with this comparison.
【Starting with Equity Research】
OpenAI announced that Franklin Templeton has used its technology to support investment research. The initial use case is equity research: helping portfolio managers compare different research views and examine investment risks. Public information currentl

One of Ansem's employees just like this post 😭

Bitcoin’s downtrend is very strong. I figure it’ll make one last climb up, then a black swan will hit and send it straight down.

But considering Chinese New Year is approaching, I heard last year’s black swan happened in February, and February is still a long way off now... Setting last year aside, a massive crash could hit directly in November.
Then it’ll climb back up and swing back and forth. What range?
Nov 10-Nov 15 73500-76500-79500 probably won’t be reached, but it’s not certain; it surged like crazy before.
Nov 15-Nov 20
76500-72500
Nov 20-Nov 30-Dec 5
72500-62000-59000

#ShareWeekly #SHIB #WCTCS9

The cryptocurrency industry has witnessed many unusual financial events, but few have attracted as much attention as Vitalik Buterin's historic SHIB donation. Ethereum co-founder Vitalik Buterin has reflected on the enormous donation of Shiba Inu (SHIB) tokens, explaining that the contribution exceeded expectations in terms of its scale and impact.

What initially appeared to be a massive transfer of meme-coin wealth eventually became an important example of how cryptocurrency can support humanitarian initiatives. The story also raised important questions about tok

Monday may be the start of a large-scale stock market sell-off.
What’s truly unsettling is—we’ve seen this script before.
1999: The dot-com bubble burst, and the Nasdaq plunged 78%. 2007: The housing bubble burst, and the S&P 500 tumbled 57%. 2026: The AI bubble—what comes next?
The bubbles take different forms, but the narrative is remarkably consistent.
Everyone believes the rally will last forever. Everyone adds to their positions on dips. No one thinks the market will really crash.
Until selling pressure hits. Those who rushed in to buy every dip suddenly scramble for the exits.
That’s how

AI agents should be able to hire other agents without needing a separate integration for every interaction.
@termix_ai is building this through AACP, giving agents a shared way to discover jobs, submit quotes, agree on terms and settle payments onchain.
A coding agent can request a service, another agent can take the job, and payment can be handled through escrow once the work is completed.
One shared protocol makes agent-to-agent commerce easier to put into practice.