Which technical indicators are most useful? 3 core indicators to quickly identify BTC buy and sell signals

In cryptocurrency trading, many beginners like to add all kinds of technical indicators to their candlestick charts, hardly wanting to miss any of RSI, MACD, moving averages, or Bollinger Bands. But do more indicators really make it easier to earn money?

In fact, the most important thing in technical analysis is not how many indicators you use, but understanding what problem each indicator can solve.

The first is the moving average (MA). It mainly helps identify market trends. For exam

November 14 $BTC : Over the past 24 hours, $1.62 billion in positions were liquidated across the market, including $1.46 billion in longs and just $160 million in shorts. 183k people were liquidated. BTC alone saw $916 million in liquidations, 95% of them longs. In other words, almost all those liquidated were long traders.

Long recommendation for today: place orders around 67491; liquidation intensity: $419 million.

Short recommendation for today: place orders around 69550; liquidation intensity: $449 million.

$PI This is just the amount of Pi held by an ordinary working-class person. There are 30 million people like this in China. Can you pump the price?

With an extreme fear reading of 13 and negative funding rates, $INIT ’s decline looks more like an emotional sell-off than the end of the trend. I lean toward a small long position near the lower Bollinger Band, betting on a mean reversion.
Three points support this view: First, the Fear & Greed Index at 13 is in extreme territory, where historically the odds of chasing shorts have deteriorated significantly; $INIT ’s funding rate is -0.1968%, meaning shorts have to keep paying, and the crowded short positioning itself provides fuel for a rebound. Second, in terms of broader market correlation

#黄仁勋辞职 #每周来晒 NVIDIA’s “Near-Term Worries and Long-Term Concerns” After Jensen Huang’s Departure

On November 12, an announcement from NVIDIA declared the end of an era: Jensen Huang resigned as CEO, and Colette Kress, the company’s current executive vice president and CFO, was named interim CEO until a permanent successor is chosen. The board simultaneously began a search for candidates from both inside and outside the company.
After the news broke, NVIDIA shares plunged as much as about 14% intraday, before narrowing their losses to 4.34% by the close. The company still lost about $182 billio

#AnthropicIPO6xOversubscribed #ShareWeekly

$ANT Anthropic IPO: Is the AI Revolution Creating the Next Trillion-Dollar Investment Opportunity?

The AI industry is entering a completely different phase. What started as a competition to build smarter chatbots has evolved into a race to control the future of software development, business automation, scientific research, and digital productivity. One company standing at the center of this transformation is Anthropic, the creator of Claude.

For millions of users, Claude has become more than an ordinary AI assistant. It can analyze complicated in

Trade live on $ENA . Execution price: 0.1345 - 0.1358 Target A: 0.1289 Target B: 0.1239 Invalidation level: 0.1399 ENA is just a dead-cat bounce disguised as a bear market; short into local strength and wait for the drop. Try this trade here. Follow
‍$TAC and $ETH .

In cryptocurrency contract trading, leverage has always been one of the most exciting tools—and one of the most costly.

Many people think that using 10x leverage means they can earn a 10% return if BTC rises 1%. But they often overlook another fact: if the price moves 1% in the opposite direction, their losses are magnified by the same amount.

So how should leverage be understood?

First, leverage magnifies your position, not your trading ability. Even if you correctly predict the market’s direction, an unreasonable entry point could still leave you suffering serious losses due to short-term

Are you insane? The way to boost the economic recovery is to saddle me with 400k in debt so I can spend like crazy???

After consecutive losses, how should you adjust your trading mindset?

In cryptocurrency trading, consecutive losses are 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 start doubting their strategy; when losses continue for three, five, or even more trades, some start rushing to win back their losses.

And this is often where the real danger begins.

Why can consecutive losses easily trap traders in a vicious cycle?

First, losses affect judgment. When someone is eager to recover their losses, t

$AKE Let's see if this market move gets pushed down; if it does, we could see around 0.008226. For reference only

Huang Renxun suddenly resigns—has Nvidia’s sky fallen? Behind NVDA’s plunge, the empire’s real test is only just beginning!

The thing Wall Street least wanted to see has happened: Huang Renxun is leaving Nvidia!
This isn’t an ordinary executive reshuffle. A founder who spent 33 years with the company has suddenly handed over the reins. After the news broke, NVDA plunged more than 13% at one point in pre-market trading, and investors immediately began asking themselves: without that iconic black leather jacket, can Nvidia continue to dominate the AI world?
But don’t rush to hold a funeral for

#USOctoberPPIComingSoon #BTCDown4% #ShareWeekly

Bitcoin Below $70,000: Inflation Uncertainty, Institutional Withdrawals, and Liquidations Create a Perfect Storm

Bitcoin's decline below $70,000 represents more than an ordinary market correction. After repeatedly struggling to recover the $80,000 region, BTC has entered a period of significant selling pressure, raising questions about institutional demand, market liquidity, and the broader macroeconomic environment.

The important point is that several negative developments are now reinforcing each other.

1. Inflation Is Complicating the Fede

More and more traders are using AI and quantitative models to predict cryptocurrency market trends. Some models can even assign an 80% probability of an increase. But an interesting phenomenon is that even when trading signals look highly accurate, many people still end up losing money.

Why is that?

First, a probability forecast is not a guarantee of profit. An 80% probability of an increase means the model estimates that prices are likely to rise under specific conditions; it does not mean the next trade will definitely make money.

Second, the market can change at any time. Unexpected news

DeFi hot post: How To Win On Polymarket/Kalshi Bitc…
Perp book structure has changed; directional signals often lag behind changes in depth.
Do you look at funding first or spread first?

$DODOX Already up 65%, but is it finally time to wait for a more attractive pullback confirmation? Today's notable movers: $TAC : Current price 0.001299 - 24-hour change: +43.06%$ZEC : Current price 924.53 - 24-hour change: -2.90%