11.9 BTC Market Analysis
Bitcoin monthly hidden divergence; the weekly chart shows a MACD death cross (watch for inversion risk)
5-day/3-day charts: short at highs 2-day chart has fallen below zero This move is mainly a door-shaped selloff driven by the 6/8-hour below-zero rebound 1-hour hidden divergence; intraday, wait for a 15/30-minute setup to form before trading
Intraday resistance: 75674 76300 76800
Intraday support: 74476 73653 72778
‍$BTC

Good morning, everyone.
I’ve been staring at the charts for a while. Let me be upfront with you: we didn’t make it through yesterday’s crash; our positions were wiped out.
It’d be a lie to say it doesn’t bother me. The day before, I was still calculating profits of a few hundred U, and then suddenly the account was wiped to zero. That kind of whiplash is genuinely hard to take. But the market has never been kind, and if you trade long enough, this sort of thing is bound to happen. Got liquidated? So be it. Accept the loss, own the mistake, collect yourself, and carry on with life and trading.

Got it!
The idea is to hurry up and find a wife, then start a business together.
A modest annual income goal.

Looks like vitalik also cheated with a spy based on $ETH price action

People who have never truly loved a car, or even felt for one the way they would for a pet, won’t understand.

On November 8 (Sunday, U.S. time), 63-year-old @nvidia founder Jensen Huang sent a letter to all employees. Its first paragraph read: “I was unfaithful to my wife. My actions hurt her and our children, and there is no excuse.”
He and his wife Lori married in 1985, making this their 41st year together. In the letter, he called leading Nvidia “the honor of a lifetime,” but said he had “failed to live up to that responsibility,” and asked the public to respect his family’s privacy.
On the same day, Nvidia’s board announced that independent directors would lead an independent investigation with ou

CPI and PPI hit next week! BTC’s real opponent may not be AI, but the Fed!

Tech stocks have just weathered a major shock, and before the crypto market could catch its breath, the next test is already on its way: U.S. CPI and PPI data are about to be released.
The market’s real focus this time may not be how many more chips AI companies will buy, but when the Fed will be willing to loosen its grip on the market.
Why are inflation data so important? Because CPI reflects changes in consumer prices, while PPI reflects changes in producer prices, and both affect market expectations for future inte

#CPI数据前瞻 #WCTCS9 U.S. October CPI is expected to cool significantly, with the month-over-month increase roughly half that of September. The data will be released at 9:30 p.m. Beijing time on November 10.

Market expectations
Headline CPI: Up about 0.3% month over month, versus 0.6% in September.
Core CPI: Up about 0.2% month over month, the smallest increase in three months.
Year over year: Prices were not collected in the same month last year, so no year-over-year figure will be released this time; only the month-over-month figure will be available.

Why the outlook is relatively optimistic
P

$DOGE Rebound, rebound. Buy it at low prices. The timid starve, the bold feast. Copy the bot below for free to increase returns and reduce risk. Please follow me, thanks.

Is a U.S.-Iran ceasefire coming—and is BTC about to rise?

Qatar’s prime minister said negotiations had made significant progress. Many people’s first reaction was: BTC is about to take off.

The reality over the past week was exactly the opposite.

Brent crude plunged 13.65% in a single week, tumbling from nearly $110 to $97.92. WTI fell 12.68%.

What about Bitcoin?

It repeatedly failed to break through $76k. Altcoins plunged by double digits over the weekend.

Oil prices plunged, geopolitical tensions eased, and BTC fell instead of rising. Who told you that “peace = bullish for risk assets”

How Can Out-of-Sample Testing and Walk-Forward Backtesting Help You Determine Whether a Trading Strategy Is Truly Reliable?

Suppose you spend several months researching a trading strategy, constantly adjusting its parameters, and eventually produce a beautiful historical return curve.

You might think you have found an effective method.

But there is a problem: if you repeatedly use the same historical data to adjust the strategy, does that return curve prove the strategy works, or merely show that you found the parameters best suited to that historical data?

This is the problem overfitting

Woke up to Jensen Huang admitting to cheating!
The whole internet is in an uproar… Nvidia launches an investigation
Who could have imagined that the man in a leather jacket, joking and chatting onstage, revered as the “godfather of AI,” would land on the global trending lists this way?
Here are a few possible scenarios:
1) The affair isn’t the big issue; the investigation is really focused on whether he violated export bans.
2) On the small end, it’s a private matter, and several hundred billion in wealth gets split up. On the big end, it’s collusion with the enemy, and AI supply could be affe

#StockTalkSeason
The $XRP Future? 🚀
Some people believe XRP could change lives in the coming years.
📍 In 2026, 589 XRP could equal a premium motorcycle 🏍️
📍 In 2028, 21 XRP could equal a luxury sports car 🚗
📍 In 2030, 67 XRP could equal a private jet ✈️
Big dreams, big hopes.
What do you think, will XRP reach these goals? 👇

11.9 BTC Trading Strategy

　　BTC is showing an oversold recovery after a sharp drop. It briefly broke below the lower Bollinger Band, but the price has now rebounded to around 75000 and moved back above it. The MACD bearish histogram is beginning to narrow, indicating near-term technical rebound potential. However, selling pressure remains around the middle Bollinger Band and the previous consolidation range, leaving BTC in a low-level consolidation and recovery phase after the sharp drop.

　　Entry range: Go long near 75000 (a retest confirmation level after the rebound from the sharp drop)

　

Why Does Higher Trading Frequency Make Profits Easier to Erode?

Some traders believe that constantly looking for opportunities can increase their chances of making a profit.

But in reality, every trade can incur new costs. The more trades you make, the more easily these costs accumulate.

Even a strategy that is fairly good at predicting market direction may ultimately fail to deliver the desired net returns if it trades too frequently.

I. Fees: Small Each Time, But They Can Add Up

Suppose the combined cost of buying and selling each time is 0.10% of the trade's notional value.

If the not

$XAUT It has already moved more than 20 points; it can continue higher. Remember to reduce your position and move your stop-loss up!