Square
Following
Hot
News
Notifications
Profile
Share your thoughts
placeholder
Article
Damn! My idol, The Rock
How did he end up looking like this?
How did The Rock turn into a pebble?
How to Use RSI and MACD? The 3 Mistakes Beginners Make Most Often
In crypto trading, many people study RSI and MACD every day, hoping to use technical indicators to find the best entry points for BTC's rise or fall.
But oddly, the more indicators some people watch, the more money they seem to lose.
What's going wrong?
First, many beginners treat overbought and oversold RSI readings as direct buy or sell signals. An RSI above 70 doesn't mean the price will immediately fall; below 30 doesn't mean the market will definitely rebound. In a strong trend, RSI can remain in overbought or oversold terr
post-image
BTC-0.67%
Trenches
ZIG
Z
bade
b
ZIG
0x8c...1145
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
BTC
B
bade
b
BTC
C5xp...pump
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
Diamond
D
bade
b
Diamond
5VCE...pump
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
STONK
S
bade
b
STONK
6GmA...UNgx
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
DOGE
D
bade
b
DOGE
DoGE...fm7R
Market Cap
$.
Change
.
24h Vol
$.
Holders
.
hope is not too late to say a gm.
post-image
BTC spent the day moving between $75.1K and $76.2K, with just $1,100 of volatility. Compared with the 6% bearish candle the day before yesterday, it’s eerily quiet.
Da Chao explains why it’s so quiet.
Lately, BTC has been following the Nasdaq, not itself. The drop the day before yesterday came from AI stocks dragging it down. U.S. stock markets are closed over the weekend, and with no one to lead the way, BTC doesn’t know where to go either, so it can only churn in place.
Also, everyone who wanted to run already did so the day before yesterday. More than $1 billion in leveraged positions got w
post-image
In this market, a lot of people see a small-cap coin and scroll right past it. $FB is probably no different. But I’ll give it a second look: the halving has reduced its new supply, and it’s needed to pay on-chain fees, so there’s at least a reason to keep watching. After such a big drop, I’d be lying if I said I had no interest at all; it’s just that no one really wants to be the first to make a move right now. I’ll keep watching to see whether more people start using it on-chain—if they do, even this garbage might be worth picking up. $FB
post-image
FB-1.17%
  • 1
My girlfriend even thoughtfully sent me money to go get a spa treatment. Where can I find someone like her?🤣
post-image
Every mischievous older brother👨
has a younger brother who suffers for it.
How far can steady progress take us this time
MARKET OVERVIEW
live-cover
LIVE2,225
Add to the ETH long at the current price of 2245, stop-loss 2190, targets 2320/2400
After ETH dumped to 2208, today's low only reached 2215, and the low hasn't been broken again. BTC is up 0.4% today, while ETH is up 1%, finally not lagging behind.
Half of the previous position was already closed at 2350, with profits in the bag. At this level, Dachao is adding another long.
Set the stop-loss at 2190, below the 2208 wick from the day before yesterday. If it breaks again, it means the bottom didn't hold, so accept it and exit.
First watch 2320; before the dump the day before yesterday, it was h
post-image
ETH-1.26%
BTC-0.67%
#美股AI板块遭遇重挫 #每周来晒 The latest drop in US AI stocks was a deleveraging stampede, but the AI trade has entered a deeper correction. Next, cash-flow-stable tech giants look more attractive, while chip stocks need to wait for valuations and return expectations to be repriced.

Why it’s more than just deleveraging
The trigger was policy: Democrats won both chambers, raising market concerns that data center approvals and power-use regulation will tighten.
AI investment returns are being reassessed: five cloud providers spent $556.9 billion on capital expenditures in the first nine months, exceeding
post-image
ThisIsTranslateContent:
#美股AI板块遭遇重挫 #每周来晒 This latest sell-off in U.S. AI stocks was a deleveraging-driven rout, but the AI trade has entered a deeper correction. From here, tech giants with stable cash flows look more attractive, while chip stocks need to be repriced based on valuations and expected returns.

Why it’s about more than deleveraging
The trigger was political: Democrats won both chambers, raising market concerns about tighter data center permitting and power-use regulations.
AI investment returns are being reassessed: Five cloud providers spent $556.9 billion on capital expenditures in the first nine months, exceeding their operating cash flow.
Positions were too crowded: Funds were all-in on AI infrastructure, and when the catalyst changed, concentrated liquidations by quantitative funds amplified the losses. How chip stocks, tech giants, and defensive sectors compare
Chip stocks: They fell the hardest, with the Philadelphia Semiconductor Index down 12.25% in one day, wiping out NVIDIA’s year-to-date gains. Demand has not peaked, but valuations need to come down first.
Tech giants: Microsoft fell much less because its free cash flow remains positive. Companies like this are better able to withstand rising financing costs.
Defensive sectors: Utilities and consumer staples fell the least, while funds also flowed into U.S. Treasuries and gold. But all eleven S&P 500 sectors fell this time, so defensive assets can only lose less and are unlikely to rise against the trend.

When to consider chip stocks
Restrictions on data center construction have not actually taken effect.
Cloud providers’ capital expenditures continue to grow and can be converted into profits.
The Philadelphia Semiconductor Index’s valuation is no longer being pushed lower, with its forward P/E now down to around 13x. For now, favor giants with strong cash flows like Microsoft; chip stocks may be worth considering once they stabilize.
repost-content-media
MSFT-0.95%
  • 3
Market structure on bitcoin:native stays bearish unless we push back above $81.1k.
Key levels on my radar for potential shorts:
• $76.2k–$76.6k (retesting current breakdown)
• $78.6k (upper supply zone)
Breakout chasers setting late shorts could trigger a quick relief bounce, but the main magnet remains the unswept September low at $74.9k.
If we breakdown further, looking at $71k–$72k for the next bounce setup.
post-image
BTC-0.67%
Good weekend, everyone. Rest and recharge, then keep up the momentum next week and help me become the No. 1 captain on the earnings leaderboard. 🫵🫡#Gate社交年度主播与创作者评选
post-image
Why Do You Always Get the Direction Right but Still Fail to Make Money?
In crypto trading, there’s a particularly frustrating situation:
You correctly predict that BTC will rise, but make no money; you spot a downtrend early, yet your account still takes a loss.
Why do you still fail to make money even when you get the direction right?
In fact, predicting the direction is only one part of trading. The outcome also depends on entry price, position size, stop-loss settings, and execution discipline.
First, timing your entry is crucial. Suppose BTC rises from $60,000 to $65,000, and you expect th
BTC-0.65%
$ZEC Currently at 1320.39, up 4.56% over 24H, with a range of 1256.95–1387.89. The 1H outlook is weak (RSI 41.73, price below EMA20 at 1323.12); the 4H outlook is strong (RSI 51.25, price above EMA20 at 1295.04), with a volume ratio of 0.12. Holding above the 1387.89 resistance could signal further gains, while breaking below the 1257.03 support would weaken the short-term outlook. Review whether price holds above 1387.89 and reclaims 1257.03; volume is only 0.12x, so a single break needs confirmation from market participation, and failure to reclaim the level invalidates the signal. The diver
post-image
ZEC+1.16%
[ NEW STREAMER ] BTC POSITION
live-cover
LIVE1,856
What Is Volume-Price Divergence? How Can You Spot a Trend Reversal Early?
In crypto trading, many people watch candlestick charts every day and assume that an uptrend will continue when they see prices repeatedly hitting new highs.
But sometimes, a warning sign has already appeared: prices are still rising, while trading volume and technical indicators are starting to weaken.
This is what traders often call volume-price divergence.
What Is Volume-Price Divergence?
Simply put, it is a mismatch between price movements and trading volume or momentum indicators.
For example, in an uptrend, BTC may
post-image
BTC-0.67%
$BTC Back at 4-hour support. Leaning long. Rather than chase candles, I’d rather see buyers defend this area. My thesis: - 4-hour price 76132 is below EMA50 77744: this is a countertrend trade, so I’m keeping the stop unchanged- Distance to the stop is 0.25%, and distance to TP3 is 0.41%: the final target has a risk/reward ratio of about 1.6R- On the daily timeframe, price is above EMA200 (75932), so the broader trend favors going longLong zone 76116–76148 | Targets 76248, 76325, 76441 | Stop 75939NFA · DYOR
post-image
BTC-0.67%
Happy weekend everyone
It’s time recharge and touch and some grass
post-image
Goldman Sachs Bets $125 Billion, but AI Investors Are Starting to Sweat: Is Computing Power or Borrowing to Build Data Centers More Profitable?

There’s an interesting phenomenon in the AI industry: everyone is talking about how smart artificial intelligence is, but few are seriously calculating how much it costs to train this intelligent system.
Recently, tech stocks have plunged, and investors have begun reassessing the AI industry’s high-investment model. Goldman Sachs, however, has not changed its optimistic stance. Instead, it has raised its forecast for U.S. data center construction spen
AMD+11.55%
  • 29
Load More

Join 40 M users in our growing community

⚡️ Join 40 M users in the crypto craze discussion

💬 Engage with your favorite top creators

👍 See what interests you

Trending Topics

USAIStocksHitHard

16.92k Views3.65k Discussing

U.S. stocks sold off sharply on Thursday, November 5 (UTC). The Nasdaq closed down around 5.5%, entering correction territory, while the Philadelphia Semiconductor Index plunged roughly 12%, with chip stocks including $NVDA and $AMD posting steep losses. Beyond profit-taking, investors are growing concerned about the pace of AI data center construction, capital spending, and future returns on investment. The key question now is whether the AI sector’s lofty growth expectations need to be repriced. Where do you think the next opportunities will emerge: chip stocks, tech giants, or other sectors?

USNonfarmPayrolls

25.21k Views4.27k Discussing

StakeOnLaunchpoolToShare450KVLX

3.76k Views782 Discussing

View More