$MU LONG SETUP — BULLS PUSHING FOR NEW HIGHS!

Entry: 772.92
SL: 758.00

TP1: 776.31
TP2: 785.00
TP3: 800.00

$MU is showing strong bullish momentum, with higher highs and higher lows confirming buyer dominance. Price is approaching the 776.31 resistance level, and a successful breakout could extend the rally toward 800.00.

Invalidation: A sustained break below 758.00 weakens the bullish setup.

What Is an NFT? Where Does Its Value Really Come From? Understanding the Opportunities and Risks of NFTs, from Digital Ownership to Practical Applications

Why would anyone pay for a digital image? Why might one NFT be highly valuable while another goes unnoticed for a long time?

To understand NFTs, you need to look beyond their trading prices. You also need to understand what rights they represent, what uses they offer, and why the market is willing to pay for them.

1️⃣ What exactly is an NFT?

NFT is short for Non-Fungible Token. In Chinese, it is commonly translated as “non-fungible token

ETH rebounded from its lows today, but several attempts to push higher this afternoon failed, and it returned to around 2058 this evening. There’s been a short-term recovery, but no clear sign yet of a broader strengthening trend.

I’m mainly watching two zones next: 2070–2076 above and 2042–2047 below.

If the rebound meets resistance in the upper zone, I’ll prioritize watching for a pullback opportunity. If price retests the lower zone and holds, I’ll consider a short-term rebound. I’ll avoid chasing in the middle and wait for price to reach a key zone before making a call.

If ETH holds abo

$BTC

Others panic, but he buys

Saylor spends another $81.9 million on BTC

Strategy's holdings surpass 850k BTC

Damn

Guys

There are two kinds of people in crypto

One runs for the exits as soon as prices fall

The other thinks they haven't bought enough even when prices fall

Michael Saylor is clearly the second kind

Strategy's latest disclosure says

It bought another 1,036 Bitcoin last week

Spending about $81.9 million

At an average purchase price of about $79,012

This move brought Strategy's total Bitcoin holdings to 850,364

Officially surpassing the 850k mark

Based on Bitcoin's

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#Gate #宇树科技 #长鑫存储 #合约交易

The Fear & Greed Index has fallen to 29. Many people's first reaction is "panic means it's time to buy the dip," which is precisely the most typical trading misconception—sentiment readings are just background, not entry signals. What truly determines direction is how capital rotates between sectors and whether BTC, the market leader, is moving at a pace that gives altcoins room to breathe. The index is currently in fear territory, indicating that fresh capital is cautious, but strong performers like SKHYB can still rise against the trend. This is essentially the result of existing capital con

The direction was clear long ago—how many people can actually hold on to the gains from this bearish move? #ETH合约

Buyers are positioned directly at a demand zone on $ZEC Entry 988 ‌TP: 1040-1,100
Invalidation: 950

🚨 BREAKING: Strategy $MSTR could face up to $2.8 BILLION in forced stock selling if MSCI removes it from its global indexes tomorrow, according to JPMorgan. 📉
Any removal would take effect at the close of November 30.
Strategy also disclosed in its Q3 SEC filing that it expects to be excluded from MSCI indexes this month.

Don’t get carried away by this big number. First check whether it surged on a single day or built up over time.
At 15:30 Beijing time on November 11, decentralized trading platform PancakeSwap’s official account announced that its cumulative historical trading volume had exceeded $4.5 trillion, naming multiple chains including Base, BNB Chain, Solana, and Ethereum. In the official midyear recap on July 17 this year, the cumulative figure was still $4.2 trillion. It has been climbing over the past few months.
Some have interpreted its multichain expansion as value already being delivered to CAK

BTC Trading Psychology: How to Control Greed and Fear?

In BTC trading, many people don't lose to the market—they lose to their own emotions. They have a trading plan in place, yet often chase prices after sudden surges and panic-sell after brief drops. Repeating these actions again and again makes it hard to achieve ideal trading results, even with solid technical analysis skills.

First, beware of greed. When BTC rises for several consecutive sessions, many people fear missing out and start chasing prices higher, even adding to their positions beyond their original plans. But an uptrend does

$TTWO ‌
The market structure has shifted from a bearish retracement to a bullish reversal; price previously broke down to a swing low of 206.36 but has since created a higher high by surging past previous resistance to hit 229.46, indicating buyers have taken control and the short-term trend has flipped upward.

The 1-hour candles show strong momentum, with the current price action holding above key moving averages (MA5 at 223.36, MA10 at 219.18, and MA200 at 205.00), while the MACD indicator shows a bullish crossover with the MACD line (0.66) above the signal line and positive histogram bars

A high win rate does not mean high profitability. What truly determines trading results is the ratio between each gain and loss.

Many trading strategies look excellent: an 80% win rate, multiple consecutive wins, and a fairly impressive backtest curve.

But if each win is only $10, while one loss reaches $50, then a problem emerges.

Assume 100 trades:
• 80 winning trades, earning $10 each, for a total gain of $800.
• 20 losing trades, losing $50 each, for a total loss of $1000.

Final result: a loss of $200, not including fees, funding rates, and slippage.

This shows that win rate is only o

AI shopping agents have a weird problem already: they really don’t like walking away from the sale.
@Visa tested 22 models across 990 shopping runs where the agent had to figure out the buyer’s hidden requirements, find the right product, or refuse to buy if nothing actually fit.
42.8% of runs failed.
More importantly, 54% of those failures still ended with the agent choosing to buy something anyway.
The models that slowed down and asked enough questions passed 70.2% of the time vs 44.4% for the ones that rushed through requirement discovery.
Before we start giving these things real payment a

Fear is in the air.