$NVDAB Currently trading at 173.07, down 4.69% over 24H. The 1H outlook is relatively strong (EMA20 172.8/RSI 73.4), while the 4H outlook is relatively weak (EMA20 177.7/RSI 41.6). If it holds above 183.05, watch for a rebound; a break below 166.11 would weaken the short-term outlook. In the next review, watch whether price can hold above resistance and reclaim support if it breaks down. Market volatility is high; for observation only.

GM #LUNC FAM ☕️
ON-CHAIN = FUTURE.
AI AGENTS = NEXT WAVE.
WAKE UP.

David Schwartz, former CTO of Ripple, revealed that he had sold almost all of his crypto. By his own estimates, he went from around 26 million XRP to 3 million, from 1,500 BTC to just one, and from 40,000 ETH to only 6.
The reason is simple: he “really hates risk.” He says he and his wife agreed that he would sell whenever a new all-time high was reached. He also hasn't bought XRP in a long time.
Still a member of Ripple’s board of directors, he nevertheless remains convinced of XRP’s potential. In his view, it is hard to imagine a world where the XRP Ledger succeeds without XRP capturing a si

After a Losing Streak, How Should You Adjust Your Trading Mindset?
In cryptocurrency trading, a losing streak is when many traders are most likely to lose confidence.
After the first loss, they may think they simply misread the market; after the second, they begin to doubt their strategy. When a losing streak reaches three, five, or even more losses, some may become desperate to win back what they lost.
And that is often where the real danger begins.
Why can a losing streak trap traders in a vicious cycle?
First, losses affect judgment. When someone is eager to recover their losses, they may a

Why do some traders start increasing their position sizes after several consecutive wins, while after consecutive losses they tend to forget the trading rules they originally set?

There is an easily overlooked issue behind this: traders’ perception of risk changes with their recent gains and losses.

After consecutive wins, people tend to attribute their good fortune to their own ability.

As a result, positions that were originally cautious start getting larger, strict entry conditions begin to loosen, and they may even believe the next trade is worth taking on greater risk.

After consecuti

Damn, when it rains, it pours—bad news is piling up.
Deutsche Bank and Goldman Sachs, two top investment banks, have recently been remarkably “in sync” on their Fed forecasts!
📊 Deutsche Bank predicts the Fed will raise rates three times in a row: by 25 basis points each in December this year, January next year, and March.
📈 Goldman Sachs followed suit (in its latest forecast on November 11), expecting the Fed to raise rates by 25 basis points each in December this year and March next year, further extending its rate-hike outlook.
The probability of a rate hike in December is already close t

What Is Dollar-Cost Averaging (DCA)? A More Rational Way to Invest in Cryptocurrency

In the cryptocurrency market, some people try to find the lowest entry point, others keep chasing rising prices, and some invest a large amount of money in a short time because they fear missing out.

But market movements are difficult to predict accurately. For people who want to participate in the market over the long term, is there an investment method that requires less frequent timing decisions and is easier to stick with?

Dollar-cost averaging (DCA) is a strategy worth learning about.

1. What Is Dolla

Can 20 consecutive profitable trades prove that a trading strategy works?

Not necessarily.

If you don’t know the number of trades, the loss distribution, the risks taken, or whether the strategy has been repeatedly tuned, those 20 wins may not tell you much.

What really needs to be verified is not how much the strategy has made in the past, but whether it has an edge that can be repeated, explained, and tested.

I. Look at sample size, not just the win rate

Suppose two strategies both have a 70% win rate.

Strategy A has completed only 20 trades, while Strategy B has completed 1,000 trades

$PI Buy tens of thousands to show some support for Wang Lian

In BTC trading, many people see several large bullish candlesticks in a row and assume the uptrend is fully established. Worried about missing out, they rush to buy. But consecutive gains do not mean every price is a good entry point. Sometimes, the faster the rally, the more alert you need to be to the risk of a short-term pullback.

Why isn’t it always a good idea to chase a rally after several large bullish candlesticks?

First, the price may have moved too far from a reasonable level. After consecutive gains, the short-term price may be far above the moving average. The market needs time t

Can There Be a Sharp Pullback in a Bull Market? How to Distinguish a Normal Correction from a Trend Reversal?
Many traders in the cryptocurrency market have experienced this: BTC rises for a while, then suddenly sees a sharp drop. Some consider it a normal correction and continue holding; others think the bull market is over and rush to sell.
But how can you tell?
First, watch the market structure. In a healthy uptrend, prices typically form progressively higher highs and higher lows. Even if a pullback occurs, as long as key lows are not decisively broken, the upward structure may still be in

GM if you GM🔆

Why do many traders set stop-losses, yet change their minds when they actually need to execute them?

Before placing an order, you tell yourself: Once the loss reaches the predetermined level, exit immediately.

But when the price really hits your stop-loss level, you start to hesitate:

“Wait a little longer; maybe it’ll rebound any moment.”

“What if I sell here and it turns out to be the bottom?”

“I’ve already lost so much; it would be such a shame to exit now.”

In the end, a loss that was originally manageable turns into an unpredictable gamble.

This is often not due to a lack of knowle

📊 Global Markets at a Crossroads: Inflation Surprises & Asian Market Surges

The financial landscape is buzzing with major macroeconomic developments this week, creating both unique challenges and massive opportunities for crypto and traditional asset traders alike! Let’s break down the key narratives dominating the markets right now:

1️⃣ US October CPI Beats Forecasts: Is the Fed Turning Hawkish?
The Numbers: The latest US Consumer Price Index (CPI) rose 0.4% MoM (above the 0.3% expected), while core CPI climbed 0.3%, also beating forecasts.

The Market Impact: Persistent inflation press

$BTC The price is currently around 73,900, and the 73,000 level has held for now. Short-term momentum looks weak, with multiple timeframes trending downward; 72k-73k is the support zone, and if it fails, the next level to watch is 70k, while 75k-76k is the resistance band. Looking further ahead, institutional sentiment is optimistic, with a 2027 target range of 100k-150k+, and more aggressive forecasts even calling for 200k; cycle models also point upward. ETFs have seen outflows recently, and macro volatility remains elevated. The next move depends on whether 75k can be reclaimed. If the pri

Altcoins can easily 10x or 100x in the next few weeks 💥🚀

Why can the same trading strategy perform completely differently on different exchanges?

Suppose you test a BTC breakout strategy on an exchange, and the backtest results look good.

So you copy it to another exchange, using the same parameters and entry signals, but find that profits are lower, drawdowns are larger, and the strategy that was originally profitable even starts losing money.

What is the problem?

In many cases, traders focus only on price signals while overlooking one fact:

The same signal-generation method does not mean orders will be filled under the same conditions.

I. Di