Last night’s Nasdaq 100 was genuinely a little scary😥

$QQQ It plunged 6.36% in a single day, closing near 26,630 and marking an exceptionally rare one-day drop not seen since 1992

What’s even more noteworthy is that the biggest losses came from the AI supply chain that had previously supported the US stock market’s rise. The Philadelphia Semiconductor Index even fell more than 12%

After the Democrats won the midterm elections, the market began to worry that data center construction would face more regulatory restrictions. Combined with ongoing questions about the returns on AI investments,

What Is the Break-Even Win Rate? How High Does a Trading Strategy’s Win Rate Need to Be to Cover Trading Costs?

In cryptocurrency trading, many people know their win rate but not how high it needs to be to actually make money. If winning trades earn little while losing trades lose a lot, you may still end up losing money even if you make the right call more often. The break-even win rate can help traders understand the minimum performance their strategy needs to achieve.

First, what is the break-even win rate?

The break-even win rate is the minimum win rate required for long-term expected r

The Silk Road call from this morning paid off. This rebound reached the entry range we publicly shared and hit the first target, delivering 1,000 points of profit. Our assessment of the broader trend was right; by trading with the trend, we steadily locked in profits.

In trading, you need to distinguish priorities: direction is strategy, while price levels are tactics. Get the strategic big picture right, and entry details can be adjusted flexibly to follow the market. Many people get it exactly backward, stubbornly clinging to a fixed price and letting a clear trend opportunity slip away🤩#E

📡 Real-time Signal Card · BTCSOS Capture
Source: Crypto Boss Target: $BTC Long entry: 83050 Target: 83450 / 83700 / 84150 Stop-loss: 82500
Speaking of which, earlier today (11-06), I had just copied the Boss's $BTC trade, and now here comes another 👀
As usual: I only relay and sync the trades; whether to follow and how large a position to take are up to you. The market can go crazy, but risk management can't go crazy with it. Shared as a personal record, not investment advice. #Nasdaq100 index falls 6%

$PI Xiaopaipai took 2 Viagra pills and was relatively erect and firm.

#资产分析 https://www.gate.com/wallet/assetsAnalysis

Good morning familia.
Rise and grind.

Plenty of Solidity teams want Solana’s users, but the thing that usually stops them is having to rebuild the whole app in a new language, and that’s the exact gap @RomeProtocol closes.
Rome runs the EVM right inside Solana, so contracts written for Ethereum can go live there as they are, and Compound and Aave are already running on Rome’s testnet with their code untouched.
Once you’re there, MetaMask and Phantom users share the same app, and your contracts can tap into Solana apps like Jupiter in a single transaction.
So if you’re a Solidity team that’s wanted Solana but not the rewrite, this

The crypto market continued to edge lower intraday, with the short-term trend still choppy and bearish. Price action remains dependent on U.S. stocks, with no independent moves#美股史诗级抛售

sui is bringing $USDC to samsung wallet for eligible u.s. galaxy users later this month, expanding stablecoin payments into everyday mobile wallets.
$SUI $USDC #GATE

$APP Short position entered! The daily chart is due for a downward correction! Position for a high-level short in advance! Target: 311. If you're not in a position, short at the current price! Wait patiently for the waterfall!

How Should You Allocate Position Sizes Scientifically in BTC Trading? Don’t Let One Mistake Wipe Out Your Entire Account!

In BTC trading, many people spend a lot of time researching entry points but overlook an equally important question: How much capital should you commit? Even if you correctly predict the market’s direction, an oversized position can expose you to enormous pressure from a normal pullback. Truly experienced traders consider not only where to buy, but also how much to invest.

First, determine your position size based on your risk tolerance. Don’t use the same amount of capit

Could one of the pros who likes writing tutorials teach me how to apply for a minor refund?
What I mean is:
Two weeks ago, my 2-year-old son used my phone to buy two BTC at a price of 8.2.
I only discovered it today when I opened my phone.
Could someone please tell me how to apply for a minor refund? 😭😭😭

Over ten hours, $INTC made two moves in exactly the same direction.
The first came during the first hour of U.S. stock trading: two candles dumped ten million contracts.
The price slid from 57.74 to 50.49, finishing the day at -12.6%.
Ten million contracts—that’s someone clearing out.
The second took just four million contracts to give back that early-morning rebound, and then some.
Volume was down 60%, but the price fell even harder.
The order book is thin. It’s not that someone wants to dump; no one’s willing to catch it.
After the close, it recovered, climbing eight points over eight hours

$AIN At this point, the people I’ve let down the most are my family

#美股史诗级抛售
In my view, the next major opportunity in the artificial intelligence sector may not lie in investments in chips or data centers, but rather in companies capable of transforming AI into actual revenue and sustainable profit.

The market is no longer just looking at the scale of investment in AI infrastructure; it is now questioning when—and to what extent—these investments will yield returns. Consequently, we may see a significant divergence among companies in the coming period.

Companies that could stand out:

1. Alphabet (Google) (GOOGL): Possesses strong revenue potential through

$fet action
2 - 4 days

Your trading strategy is probably lying to you. Qubic's AI team just published the three mistakes that fooled their own research, and they are the same ones that wreck traders.
First, what they released.
Qubic's science team made public 155,192 evolved AI brains built for ARC AGI 3, one of the hardest AI benchmarks around.
They run on ordinary CPUs, with no GPUs and no large language models.
Here is why that matters.
Most of today's AI runs on expensive GPUs and giant language models like ChatGPT. These brains are tiny networks, some with fewer than 200 neurons, inspired by how real brains le