Square
Following
Hot
News
Notifications
Profile
Share your thoughts
placeholder
Article
The AI bubble’s trajectory is lining up almost candle for candle with the 2000 dot-com crash. The semiconductor playbook right now looks awfully familiar. Whale wallets have been selling off lately—make of that what you will. What do you think?
post-image
$BTC So far, price is holding support as expected.

I’ve been waiting for $75k for the last couple of weeks.

Price continues to look bearish on the short term due to forming a lower high and sweeping the previous low of $76k.

I’m looking for a small manipulation rally up to $78k and the 0.5 fib level before a continuation to the downside.

If we do break $75k and form a daily candle close below it, we could see a much larger retracement as support is very thin until $63k.
post-image
BTC-0.67%
Trenches
ZIG
Z
bade
b
ZIG
0x8c...1145
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
BTC
B
bade
b
BTC
C5xp...pump
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
GM
G
bade
b
GM
0x13...7777
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
Diamond
D
bade
b
Diamond
5VCE...pump
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
coin
c
bade
b
coin
GdY4...pump
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
$XRP Currently trading at 1.1801, 24H -2.87%, with a range of 1.1723–1.2229. The 1H trend is weak (RSI 34.9, below EMA20), as is the 4H trend (RSI 17.5, below EMA20). Watch whether price can hold above 1.2229, or reclaim 1.1723 if it breaks below. Volume is only 0.28x, so any single break needs confirmation from participation. Markets are volatile; for observation only.
post-image
XRP-1.15%
When it comes to engine oil, changing it more often is more practical than buying more expensive oil. For an older car, using the right viscosity and shortening the interval is more reliable than insisting on full synthetic and stretching it to 10,000 km. You can’t control oil prices, but you can set your own maintenance schedule. How often do you change it? Drop a number in the comments.
oil
post-image
After $XRP ’s oversold signal appears, what’s really missing isn’t sentiment—it’s a confirmed bottom

$XRP is currently priced at 1.1784, down 3.1080414405525447% over 24 hours, with an intraday high of 1.2229 and low of 1.1723. The 1-hour and 4-hour trends are both weak, indicating that selling pressure has not automatically ended just because the decline has deepened. The volume ratio is 0.12857813725612088, and market participation is low. This makes a technical rebound more likely on relatively little capital, but that does not mean the structure has reversed. Oversold describes a condition
post-image
XRP-1.15%
Morning Maeket Update
live-cover
LIVE2,159
Tell me @grok, which platform pays small creators more?
post-image
GROK-3.49%
To the untrained eye this looks like a 'Break and Retest' strategy and it's justifiable but there's more to it that the eye can't see on this chart.
However, when the market is imitating this textbook pattern the trades are sweet but often short lived.
post-image
  • 2
Why Can Following the Popular Direction Be Riskier When Funding Rates Are High?

In the cryptocurrency market, when a coin continues to rise, discussion on social platforms grows increasingly heated, and perpetual contract funding rates keep climbing, many traders may think: Since so many people are bullish, there should still be an opportunity to jump in now.

But the more crowded the market becomes, the more important it is to pay attention to risk. A high funding rate is not a definitive signal that the market is about to reverse, but it may remind us that holding costs and market expectati
post-image
zcash:native Longs
1650/1700 looks programmed Mehn!
post-image
ZEC+1.16%
On Gearbox’s mEDGE / USDC page, Net APY (7D) at 6.0x leverage was shown as -2.97%.
Collateral APY (7D) was 28.98%, while Borrow Rate (7D) was 31.95%, making the difference negative. The APY on the list or strategy page combines collateral yield and borrowing costs; it is not a standalone figure.
A strategy appearing on the page does not mean you can open a position at your desired size right now. The SDK’s maxBorrowAmount indicates the maximum amount you can currently borrow to add to a position, taking available liquidity and debt caps into account.
The actual return on an existing position s
post-image
USDC+0.01%
Chip Stocks Are Falling,
live-cover
LIVE789
# 5,000USDTinrewardsupforgrabs—the 2️⃣ 6️⃣ Growth Points Lottery is now underway!
Spend 300 Growth Points per draw, up to 10 draws a day. Everyone wins, and new users don’t need any trading volume! 🤩

💫 Interact every day and earn Growth Points with ease
🔹 Explore Square: post, like, comment, and share to earn up to +600 per day
🔹 Watch livestreams: watch, schedule, like, comment, and share to earn up to +300 per day
🔹 Join Hot Chats: take part in discussions and share trading cards to earn up to +90 per day
🔹 Creator bonus: publish content featuring designated tokens or trading cards to
post-image
SPCX+0.78%
ETH-1.26%
TSLA+4.26%
What Is Open Interest (OI), and What Market Changes Can It Help Us Understand?

In crypto derivatives trading, many people watch prices and trading volume every day but overlook another important metric: open interest, or OI.

OI can help us understand how many contracts in the derivatives market remain open and observe market participation and changes in positions. But it is not a foolproof indicator for predicting price movements; it needs to be analyzed alongside prices and other data.

First, what exactly is OI?

Open interest refers to the number of contracts that have not yet been settle
post-image
$XRP Has Entered Oversold Territory, So Why Can’t We Say It Has Bottomed?

$XRP is currently priced at 1.1808, down 3.1098711742020058% over 24 hours, with an intraday high of 1.2229 and a low of 1.1723. The 1-hour and 4-hour trends are both weak. The direction appears consistent, but low participation makes this move less convincing. At this level, oversold signals have emerged, but oversold does not mean bottomed. Demand for a rebound is increasing, but until the structure stops weakening, oversold conditions should not be treated as confirmation of a bottom. A sharp decline only shows that
post-image
XRP-1.15%
Anyone still remember this ?
post-image
Which horse should I put this on today?
post-image
It simply won't stop.
EtherFi Cash, EtherFi's card and spending arm, earned a record $1,955,579 in revenue in October, its eighth straight record month.
That is more than 4.2 times the $461,792 of October 2025.
@ether_fi
The Hyperliquid ecosystem and its new L2 network, Elysium, are currently attracting serious attention and FOMO in the crypto world.
$ELYSA @elysatrade is an all-in-one advanced trading and transaction terminal developed for the Elysium L2 network built on the Hyperliquid ecosystem.
These kinds of ecosystem-focused super terminals have done big things on other popular networks in the past and continue to do so today.
The ELYSA token launched on the @MontraXYZ Launchpad and is fluctuating at a market cap of 150k - 250k.
ELYSA's vision is very sound and aligned with the trend. It's positioned in
post-image
HYPE+0.24%
SOL-0.77%
MEME-0.94%
AIRDROP+0.00%
#Gate股票畅聊季 #每周来晒
🎯 Decoding Institutional Footprints: My Core Technical Framework for Stock Market Allocations

Navigating highly volatile global stock markets requires a stark departure from speculative guesswork or chasing media hype. True profitability relies entirely on identifying quantifiable, repeatable market signals that separate casual retail trends from sustained institutional accumulation. For serious market participants, a stock's chart is not just a collection of random price bars it is a live map of supply, demand, and structural capital allocation. To consistently extract val
Falcon_Official
#每周来晒 #美股史诗级抛售 Deleveraging or the Start of a Deeper AI Correction? What Thursday's Tape Tells Us
Thursday's sell-off was the kind of session that makes investors ask whether the AI trade is breaking. The Nasdaq 100 fell about 6.4% and erased roughly $2.5 trillion in market value, its deepest one-day drop since "Liberation Day" in April 2025, according to Reuters. Chip stocks posted their second-biggest one-day fall on record. The question is whether this is a forced reset or the first leg of a longer unwind.

The numbers from the close

From the Gate feed's closing prints on 5 November: NVIDIA closed at $181.60, down 9.26%. AMD fell 17.26% to $404.40. Broadcom dropped 10.43% to $291.53. Meta slipped 3.96% and Microsoft 3.58%. Apple, Amazon and Alphabet held up better, falling between about 1.5% and 2.2%. The S&P 500 ETF (SPY) closed at $733.00, down 4.41%, and the Nasdaq 100 ETF (QQQ) at $647.05, down 6.49%.

What set it off

This was not a simple earnings miss. Investors reacted to the midterm result and to the possibility that a Democratic Congress and new state leaders could slow data-center construction. UBS estimated that nearly a third of new US data-center capacity due in 2028 could be delayed if construction pauses spread. That turns a valuation debate into a supply-chain question, and it touches chips, servers, power utilities and data-center operators at once.

Why I lean toward a deeper correction, not just deleveraging

Deleveraging explains the speed of the fall, but it does not explain why the damage spread through the whole supply chain. Data-center operators fell more than 14%, server makers and power names fell 7% to 9%, and GE Vernova dropped 7.4%. When the selling reaches the buyers of chips, not just the chips, investors are repricing the spending itself.

Rates offered no rescue. Treasury yields eased, and futures pushed the next expected Fed hike out to around March 2027. In a normal sell-off, lower yields help growth stocks. Here, they did not, because the market is worried about earnings from AI capex, not about financing costs.

Where I would place the next bet

Chip stocks are the highest-beta expression of the AI trade, and they will likely bounce hardest on any stabilization. But bounces inside a broken trend are dangerous. I would wait for NVIDIA to reclaim its prior support zone on a closing basis before treating a rally as more than a relief move.

Tech giants like Microsoft, Apple and Alphabet look more resilient, because their earnings do not depend entirely on new data-center construction. They fell less on Thursday, and they are the more defensive way to stay in the AI theme. The trade-off is that they also have less upside if the buildout accelerates.

Defensive sectors such as utilities and consumer staples have not been the leaders this week. Utilities that serve data centers have been hit, which shows that "defensive" depends on the specific exposure. Broader defensive sectors may be the safer place to wait while the AI trade resets.

What would change my view

I would call this a short-term deleveraging if NVIDIA and AMD stabilize above their Thursday lows, if data-center operators stop cutting guidance, and if tomorrow's jobs report keeps rate expectations steady. I would call it a deeper correction if those lows break, if capacity delays move from forecasts into actual order cuts, or if the Fed debate shifts back toward hikes with weak growth.

My bottom line

The sell-off looks more like a repricing of the AI build-out's timeline than a collapse in demand for AI itself. That makes it dangerous for anyone who bought the leaders at the top of the trend. I favor waiting for confirmation in chips, holding tech giants as the core AI exposure, and keeping some cash or defensive weight until the supply-chain picture clears.
Which do you favor next: chip stocks, tech giants or defensive sectors? Share your reasoning and the level that would change your mind.
#USStocks #NVDA #AMD
repost-content-media
  • 2
Load More

Join 40 M users in our growing community

⚡️ Join 40 M users in the crypto craze discussion

💬 Engage with your favorite top creators

👍 See what interests you

Trending Topics

USStocksFaceHistoricSelloff

12.87k Views3.9k Discussing

U.S. stocks suffered a sharp selloff on Thursday, with the Nasdaq closing down more than 5% and the Philadelphia Semiconductor Index falling over 12%. AI and chip stocks including $NVDA and $AMD were hit especially hard. Markets are reassessing AI valuations, data-center spending and future returns. Is this just short-term deleveraging, or the start of a deeper correction in the AI trade? Which sectors are you watching next?

USNonfarmPayrolls

20.51k Views4.21k Discussing

StakeOnLaunchpoolToShare450KVLX

298 Views737 Discussing

View More