In 90 days, Coinbase, where US buyers trade, never priced $BTC more than +0.032% above the rest of the world. On Nov 10 it was -0.133% under the global price, the 67th straight day on the discount side.

The Nasdaq fell 0.74%, Nvidia dropped 10% over two days, but AMD rose—the AI trade reshuffled internally on CPI night

U.S. stocks closed lower, with the Nasdaq down 0.74%, the S&P 500 down 0.38%, and the Dow down 158 points. On the surface, it was a modest broad-based decline, but a sector-by-sector breakdown tells a very different story.‌

Nvidia fell nearly 6%, taking its two-day loss to about 10%. The S&P 500 technology sector dropped more than 1%, making it the weakest of the 11 sectors. But AMD rose that same day. This isn't the vague narrative of “AI stocks coming under broad pressure”

Anthropic’s valuation shocks at $1.4 trillion! Is this an AI golden opportunity or a valuation frenzy?

The AI market has been getting increasingly lively, and Anthropic is gearing up to join Gate’s Direct-to-IPO Phase 3!
The reference fully diluted valuation is up to $1.4 trillion, with a subscription reference price of $70-78 per share. Seeing that number, all I can say is: AI hasn’t made me any money yet, but its valuation has already gone through the roof 😂
Anthropic’s Claude product series is competitive in the AI field, while enterprise applications and demand for AI models offer plenty

#AVAX利好短时上涨6.4% #WCTCS9
I am optimistic about the long-term implications for Avalanche; however, I believe one should be more cautious about chasing short-term price rallies.

This could prove to be a development of far greater significance than a typical partnership announcement.

Why is the NYSE news important?

A major institutional catalyst

On November 9, 2026, Ava Labs announced that Avalanche would provide the underlying ledger technology for the clearinghouse supporting a platform for tokenized securities linked to the NYSE.

Three key highlights stand out:

* The NYSE selected Avalan

Netizens are complaining that high-speed rail USB ports drain their phones even while charging. Officials explain that the ports have low voltage and are only for emergency use, and remind passengers that resources are limited during peak periods. Newer 3C-certified power banks are safer.

These USB ports are basically “battery black holes”—plug in your phone, and its battery drains faster than the train speeds along. Instead of hoping the seat will charge your phone, bring a power bank as your personal “lifeline” so your phone doesn’t turn into a brick halfway through the trip.

$BTC

Since Mid Term Election Day we’ve had...
The Dow’s best day after a midterm since 1982
The S&P’s worst day since April 2025
Retail’s biggest selling day since March 2020
The S&P’s best day in 7 months
A board investigation into Nvidia’s CEO
& a hot inflation report
If you slept through ALL of it, your S&P500 $VOO is down about 1%
That’s it
Now think about everyone who traded each one of those headlines. Sold Thursday, bought back Monday, sold again on CPI... paying taxes & stressing the whole way
I made zero panic moves in that stretch. Same base, same 1+ year puts & calls, ratios in check. Ca

$CRWV is up nearly 15% in premarket.
Q3 revenue hit $3.66B (+168%), and they raised full-year guidance. Strong backlog and prepayments eased the debt worries.
Small breath for AI infrastructure, memory, and chips. Demand is still there.
$MU +7%
$SNDK +8%
$STX +9%
AND SO ON...

It's back—more than half recovered. Nvidia's 5.5% drop yesterday was already 5.2% recovered in premarket trading today, almost making it all back overnight.

AI stocks are rebounding across the board in U.S. premarket trading, with compute-rental names leading the way: CoreWeave is up 12% and Nebius is up 10%. Optical transceivers are close behind, with Coherent and Lumentum both up more than 8%. In memory, Micron is up 6%, SanDisk 9%, SK Hynix 8%, and AMD is also up more than 5%.

The indexes are sharply divided. Nasdaq futures are up 1.7%, while Dow futures are basically unchanged. Money is

$DOGE #DOGE
Dropped to a key support zone.
Bounce could trigger the price towards $0.10
If breaks Support, It can test next support level at $0.056 ✍️

David's Trading Notes

2026.11.11

$ETH
The 2012 long from the previous post is in profit

Today's intraday strategy: primarily buy dips, with shorting rallies as a secondary option

Long | Go long at 2039 after a five-minute decline stalls

Short | Go short at 2109 when momentum stalls on a smaller timeframe; you can also place a short limit order, with a 1% stop loss

$BTC
Hold the long position at 72700, set the stop loss to breakeven, and just keep holding#直通IPO第三期Anthropic

#OpenAIQ3RevenueHits10B
OpenAI’s $10 Billion Q3 Revenue: Is Artificial Intelligence Finally Becoming a Profitable Business?

Artificial intelligence is moving from an exciting technology story into one of the biggest commercial opportunities in the global economy. OpenAI’s reported third-quarter 2026 revenue of approximately $10 billion is a powerful signal that customers are willing to pay for AI products, not simply experiment with them. According to reports published on November 10–11, revenue increased nearly 50% quarter over quarter and was around 2.6 times the level recorded in the same

11.11 U.S. Session Preview: XAU & BTC — Decline, Rebound, Then Another Decline, or a Double Bottom? $BTC $XAUUSD

XAUUSD
It pushed higher intraday and is now pulling back for a mean reversion. Watch whether it declines, rebounds, then declines again, or forms a double bottom before rallying.

Support: 4028-4034 (1h, 4h), 3989-3997 (1h), 3966-3985 (1day)

Resistance: around 4066 (1h), around 4084 (1h), 4100-4108 (1h, 4h), 4142-4150 (1h, 4h), 4190-4217 (4h), 4256-4280 (1day, 1week)

BTC
The rebound in U.S. stocks hasn't lifted the crypto market. Honestly, I'm finding the market hard to read rig

everyone says $hype is undervalued because @HyperliquidX spends all its revenue buying back its own token.
i compared it to the biggest exchanges and companies in tradfi.
to me, it’s not undervalued. it’s priced exactly like cme.
over the last 12 months, users paid hyperliquid $895M in fees. $681M of it went to buying back $hype.
for a holder, that’s the profit. so you can compare it to a company’s earnings.
what you pay for $1 of yearly profit:
schwab: $16
nvidia: $21
ice (nyse): $24
cme: $25
$hype: $25
interactive brokers: $30
nasdaq: $30
robinhood: $37
apple: $39
not cheap. not crazy. the n

Gate Ranks Global Top 3 in Stock Spot Trading: A Strong Milestone for a Global Trading Platform
The global stock trading landscape is changing quickly. Investors are no longer looking at only one market or one region. They are following major US companies, Asian technology leaders, semiconductor manufacturers, artificial intelligence businesses, and other sectors that influence the global economy. As access to international markets expands, traders increasingly expect a platform to offer a broad range of assets, dependable liquidity, efficient order execution, transparent information, and a sm

#RedBullDoublePodiumInBrazil
Red Bull’s Brazil Double Podium: Why Execution Matters More Than Raw Speed

Formula 1 rewards speed, but races are often decided by something far more difficult to master: the ability to make the right decisions when conditions are at their worst.

Red Bull Racing’s double podium at the 2026 São Paulo Grand Prix was a powerful demonstration of that principle. Max Verstappen started from P21 and recovered to finish second, while Isack Hadjar secured third, turning a demanding race into an outstanding team result.

The most impressive part was not simply how far Ver

Why can repeatedly adjusting parameters actually make a trading strategy more fragile?

When optimizing a strategy, many traders go through this process:

The first backtest delivers average returns.

After adjusting the parameters, returns improve.

Further adjustments produce a higher win rate, smaller drawdowns, and an increasingly attractive equity curve.

So you feel that you have finally found a better strategy.

But when the strategy enters a new market environment, its performance quickly deteriorates.

The problem may not be that the parameters are not fine-tuned enough, but rather: w

$ETH is approaching a key support zone.
RSI is heading back to the same bottom area as the previous times. When price tests this support with RSI there, that's a high-probability zone for a reaction.