Does Cooling Inflation Favor Gold or U.S. Stocks? The Next Rotation of Capital Could Be More Exciting Than Rate Cuts!

If U.S. inflation continues to fall, an interesting question will emerge in the market: will capital flow into gold, or embrace U.S. stocks again?
First, U.S. stocks. If inflation continues to improve, expectations for Fed rate cuts will rise, and financing costs are likely to gradually decline, potentially supporting valuations for tech and growth stocks. AI, semiconductors, and cloud computing in particular could once again become key areas of investor focus.
Next, gold. Gol

#Gate股票畅聊季 AI Tech Stocks: The Exception and the Favorite—Why I’m Choosing AMD!

I’m bullish on AMD because it has had the strongest buying support in this rebound and has performance to back it up in its financial reports.
Data center business doubles: In the third quarter, the data center business grew about 2x, prompting Oppenheimer to upgrade its rating, with a price target of $600[6].
Lands a Google order: Google Cloud’s next-generation TPU 8tx uses AMD EPYC on the host side, giving AMD a visible and measurable share.
Nvidia leaves an opening: Capital is flowing out of Nvidia and into com

$Prosperity 0xceebf25b318201f1f949be2fabbfcee231737139
Keep building Prosperity!
Robinhood Chain has been making moves lately—it feels like a big breakout is just around the corner. Prosperity is showing strong price action. Anything under 1m is a buying opportunity, so buy it all! First target: 10m. Think 100m!

Soaring to $905! $SNDK surged overnight, leaving shorts completely stunned

This guy works at a security booth during the day and makes one trade at night—no stress about life.

SanDisk surged to $905 intraday last night, sparked by one key factor: November NAND contract prices jumped 50%, far exceeding market expectations. The third price hike this year has fully ignited the memory sector. Morgan Stanley swiftly rated SNDK “Overweight,” while demand for high-performance flash memory from AI servers continues to soar. Supply is expected to remain tight at least through 2028. This isn’t a rebo

If I were to build an app using @RomeProtocol, I’d most want to make a “cross-chain gaming and tipping platform” (fun and hassle-free).
Honestly, the cross-chain experience today is way too unfriendly for beginners.
For example, you want to play a little game on Solana or tip a blogger a few bucks. But if all your money is in an Ethereum wallet (like MetaMask), you first have to find a cross-chain bridge, transfer the money, and buy some SOL for gas fees... By the time you’re done, the moment has already passed.
If we built this platform with Rome, the experience would become super simple:
👉

“Contract”—many people understand only the “agreement” part, not the commitment it entails.
It was originally a contract:
You agree with yourself where you’ll exit if the price drops;
You agree with yourself how much you’ll lose on a single trade;
You agree with yourself how many trades you’ll make in a day.
What really gets people liquidated is never the market,
it’s that you broke your agreement first—and the market merely enforces the consequences.
So the first thing to do to respect the futures market is respect the contract you signed with yourself.
You promised yourself you’d stop out at

Financial privacy has economic value when disclosure changes how competitors trade, price risk or negotiate.
A market maker revealing inventory, an OTC desk exposing transaction size or a fund publishing treasury movements can surrender valuable information.
But concealing information from competitors is different from withholding evidence from authorized counterparties.
That’s the institutional use case behind @primus_labs’ FHE and zkTLS infrastructure.
FHE protects supported onchain balances and transactions. zkTLS authenticates external financial records without disclosing everything.
Five

What Is Time Series Cross-Validation? Why Can't You Randomly Shuffle Training and Test Sets for Cryptocurrency Prediction?

In crypto quantitative trading, machine learning models often need to be trained on historical data before predicting future price movements. But if you randomly shuffle all the data and then split it into training and test sets, as in ordinary classification tasks, you may disrupt the chronological order and make the model's evaluation results overly optimistic.

First, what is time series cross-validation?

It is a method of organizing training and validation in chronol

Open a short position at $EDGE . The plan is still simple: entry at 0.391–0.400, take profit at 0.373, then 0.355; stop loss at 0.416. EDGE is trending downward; bears are in control, but trading volume is shrinking rapidly. Be careful: low volume can lead to false breakouts or sharp mean-reversion bounces. Don’t go all in, mate. Adjust your position size based on your account size.

Michael Saylor hints at new Bitcoin move, market awaits
Michael Saylor, Chairman of Strategy, just reposted a chart tracking the company’s Bitcoin purchases with the brief caption “Connecting the dots,” drawing market attention to the possibility that Strategy is about to announce a new transaction.
The chart shows that Strategy currently holds 849,327 BTC, with an average purchase price of approximately 75,446 USD/BTC. Based on the price of Bitcoin when the chart was shared, the company’s BTC holdings are worth approximately 64.44 billion USD.
⚠️ Personal market analysis only. NFA — manage ri

i checked onchain and @remusofmars doesn't have 13% of $MONTRA.
he has 3.2%
i traced his fomo wallet on elysium.
the fomo account "igotruggedoncashcat" holds 32m $montra. that's 3.20% of the supply, about $200k at today's price.
he didn't buy on fomo. he used 3 other wallets:
> wallet 1: 275 hype, first buy 3 min 52 s after launch
> wallet 2: 572 hype, 40 seconds later
> wallet 3: 529 hype, 20 min after launch
1,376 hype in total, about $103k. then he moved everything to the fomo wallet between 00:57 and 01:07 utc.
the fomo account was brand new. the first transaction ever on its solana side i

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People who last in perpetual futures all do three counterintuitive things.
They may sound uncomfortable, but these are exactly the things that keep them alive.
Counterintuitive #1: The more smoothly you’re making money, the smaller your position.
Most people add to their positions after making money, thinking, “I’ve got the feel for it.”
But that feeling isn’t skill—it just means the market happens to be moving in your favor.
Adding to your position then means increasing your bet when you’re least prepared.
The right approach: after three consecutive wins, proactively cut your position in half

AI Tech Stocks Rebound Strongly: Who Will Lead the Next Rally?
AI tech stocks experienced a sharp swing last week. The midterm election results sparked concerns that data center regulations could tighten, among other factors, and the Philadelphia Semiconductor Index at one point fell more than 12% for the week, with popular names such as $NVDA and $AMD pulling back sharply. The market then recovered quickly: stocks rebounded on Friday, followed by a strong rally in U.S. equities on Monday (November 9), with the Nasdaq up about 2.5%-3% and semiconductor stocks surging. $AMD jumped about 13% tha

BTC is at 74,300 now; the short we called at 74,900 this morning is already up over 600 points.
We said this morning that there was plenty of breakeven selling pressure above 76,000, so the rebound wouldn’t break through. And sure enough, it didn’t even touch 75,000 all afternoon, topping out at just 74,900—right at our entry price.
The 77,000 stop-loss hasn’t been threatened at any point.
Those of you who followed the trade, hold steady—this one is just getting started. The first target is 74,000, just a hair away.
CPI is at 9:30 tonight, and BTC will likely pick a direction around then. If i

Jensen Huang makes his first airport appearance after being exposed for an affair: looking spirited in a Saint Laurent studded leather jacket.
Seems to be entering his rebellious phase—no matter what, my look has to be on point!🤟

$CL
SHORT
ENTRY : 84.4 - 85
LEVERAGE: 50X
TARGETS : 83.5, 82, 81, 80
STOPLOSS- 85.34
Use 1.5% fund

What Is Time-Series Cross-Validation? Why Shouldn’t You Randomly Shuffle the Training and Test Sets for Cryptocurrency Predictions?

In quantitative cryptocurrency trading, machine learning models are often trained on historical data to predict future price movements. But if all the data is randomly shuffled and split into training and test sets, as in ordinary classification tasks, the chronological order may be disrupted, making the model’s evaluation results overly optimistic.

First, what is time-series cross-validation?

It is a method of organizing training and validation chronologically