$BTW I got in at 1.32 and sold at 1.78. I captured a 28-point gain this time, but nearly ruined it by getting trigger-happy.
Let me lay out the plan first, then review the trade. I’m not chasing at the current price of 1.7756. It’s already up 28.55% in 24 hours, with trading volume surging to 134M. It peaked at 1.8711 before pulling back, and the intraday range from 1.3059 to 1.8711 is nearly 43%. Chasing a coin like this is just providing liquidity to the market makers. My plan: scale in on a pullback to the 1.55–1.60 range, with a 30% position; set a stop-loss below 1.42; take profit at the

After a single large bearish candle, how can you tell whether the “trend has turned bad” or this is an “oversold bounce”? The answer is to check whether the moving-average alignment has broken down and whether the decline is accompanied by an extremely negative funding rate—$NIL is a classic example of the latter right now.
First, the structure: $NIL is currently at 0.08571, down 28.85% over 24h. MA5 (0.084144) has crossed below MA20 (0.0896175), turning the medium-term moving-average alignment bearish. This is a warning at the trend level, so don’t blindly buy the dip. But two details are w

📚 Why do AI models need training?
Model training can be understood as teaching a computer to learn patterns from large amounts of data and continuously adjust model parameters.
The training process typically involves:
1️⃣ Preparing and processing data
2️⃣ Choosing a model and training method
3️⃣ Training with computing resources
4️⃣ Evaluating performance and continuously improving
Model size, training methods, and data quality all affect the resources required.
But not every AI project needs to train a large model from scratch; many applications can use existing models directly.

Actually, looking at any stock, once it forms a major top, you have to get out, because it won't give you another chance afterward.
No matter how many rebounds or how many shoulders or secondary peaks it has afterward,
the bottoming process can even take 5–6 years.
This is actually also a solution to the Navier–Stokes equation of capital outflows.
I don't understand why so many people are still harboring wishful thinking,
insisting on taking one last naked swim in the turbulence?
P.S. Whether semiconductors have formed a major top is, of course, a matter of opinion.
But in any case, judging by

Those born in the 2000s bring plenty of personality to work.
Even when quitting, they don't forget to block the boss as a keepsake.

$BTC
Tonight is really intense
Microsoft is also turning in its earnings report tonight
AI has burned through $50 billion
How much will it earn back in the end?
Holy shit
Guys
Google is taking the test
Microsoft is heading into the exam room too
Honestly, I don't really care how Microsoft's earnings report turns out
What I mainly want to know is whether AI has started printing money
or is still burning through cash like crazy
First, let's look at the most important business: Azure cloud
Microsoft's previous guidance was
Azure and other cloud services would grow about 44%–45% this quarter on a

which one has the loudest community?

I haven't checked $牛来 for a few days, and I can't believe you've gotten your act together and risen to 0.06. But in DuiDui's view, isn't this just another chance for short sellers?
It's already a completely insignificant coin. Now that the hype has faded, how could anyone still put money into pumping it? This is obviously another bull trap from a shady market maker. Don't fall for it—shorting it at the right price is by far the smartest move. Maybe you'll be the next genius trader!

$ONDO — Falling Wedge Setup! 👀📈
$ONDO is trading near $0.4158, forming a falling wedge on the 4H chart. Buyers are attempting to defend support as selling pressure gradually cools.
🔥 A breakout above $0.45–$0.47 could open the door toward $0.50 and potentially $0.60. However, losing the $0.40 support zone could weaken the bullish setup.
$ONDO is at a key decision point — bulls need a breakout to take control! 🚀

$USDG 's direction looks straightforward, but volume hasn't weighed in
At 1.001 USDT, the price itself tells us nothing. $USDG's 24-hour range is 1.001—1.0016, and behind the -0.05% decline, both the 1-hour and 4-hour charts show weakness. Trading participation at 0.00x looks like a blank canvas: the price has moved, but participants have yet to follow.
My view: the direction is there for now, but low participation undermines the credibility of this move.
The direction can be trusted for now, but not its continuation. The price broke below 1.001 without quickly rebounding, which does indicate s

$GMX is facing short-term pressure, with price down 3.97% in the latest reported move despite remaining up 5.3% over 24 hours. Volume has climbed 1,033.5%, suggesting heightened trading activity around the current price of $8.51. A clear reclaim of resistance could bring buyers back into control.
Entry Zone: $8.45–$8.55 after bullish confirmation
Support: $8.35 / $8.10
Resistance: $8.70 / $8.90
Next Targets: $8.90 → $9.15
Stop Loss: $8.05
A breakout above $8.70 may create room for a recovery. If $8.35 fails, further downside remains possible. Avoid entries without confirmation.
$GMX ‌

✨️ $ETH is up +3.21% from the Oct 24 low at $2,279.97, now trading at $2,353.10
If you had longed it at the Oct 24 11:00 AM ET low with $100k at 10x, you'd be up +$32,075 right now
Why it moved
This was a squeeze, not a chase. CoinStats data on Oct 28 showed $22.13 million in ETH liquidations over 24 hours, and $19.19 million of it, 86.7%, was shorts. Open interest barely moved, up 0.19% to about $30.07 billion, so bears were closing rather than new longs piling in.
That matters. Leverage is not stretched, with funding at 0.0085%, well below overheated levels.
The bigger thesis
Holders are loc

$DOOD Opening even one position at this rate is exhausting.

Everyone, long plan $SOL
Entry: 102.8–103.3 Take-profit 1: 104.5 Take-profit 2: 106.0 Take-profit 3: 107.9 Stop-loss: 101.1

Dip buyers are making a killing—are short sellers starting to panic?
Short liquidations reached 97%, creating an extreme short squeeze. Combined with an 83% acceleration in short-term capital inflows and the positive news of a new contract launch, this establishes a strong bullish trend. $HUMA $ZEC $BTC #美联储利率决议倒计时 #Gate is the first to launch gold CFD 7X23 trading.

10 trades, 8 wins—why are you still down 100U?
Because win rate only tells you how many times you won, not how much you made or lost on each trade.
Suppose 8 of your 10 trades are profitable, earning 10U each, for a total gain of 80U; the other 2 lose 90U each, for a total loss of 180U. In the end, 80 − 180 = −100U, not including fees and other costs.
Even with an 80% win rate, your account is still losing money. Many small wins can be wiped out by a few big losses.
So when reviewing your trades, don’t just count profitable trades. Also look at average gains, average losses, and actual trading

The pink-shaded decline in $BTC looks corrective rather than impulsive, favouring another leg higher.
Price has also formed a higher low against a lower low in RSI giving hidden bullish divergence that supports this interpretation.
A break above the recent lower highs would strengthen the bullish case for #BTC.

$GT ‌GT is quietly building a higher low while sitting just under the 9.83 resistance — this is the kind of clean 1H structure that can either break out or trap late buyers.
FDV Snapshot
Price: ~9.80 USDT
Market Cap: ≈ $1.01B
FDV: ≈ $1.38B (total supply ~138M GT, max supply ~142.6M)
Circulating supply ≈ 104.7M GT
FDV is reasonable for a top-tier exchange token with ongoing buyback/burn mechanics. Not extremely inflated, but not cheap either.
K-Line (1H) Analysis
Strong bounce from the 9.61 low earlier in the session.
Price is now holding above the short-term MAs: MA5 9.78 > MA10 9.76 > MA30 9