$NEAR Bounces again—this strong comeback means a big move is coming 🔥
NEAR entered a deep correction after touching $6 last week. Sister Xing made a nice profit on it last week, and despite a week of losses, it is still around $5.
It surged sharply on the 15th, and everyone was saying it had made a comeback. I chose not to go long because volume didn’t follow through. Sister Xing felt it was more like market makers pushing the price up on low volume to take the opportunity to sell, but hardly any retail traders chose to follow.
What’s different about this move from the one a few days ago is

#KOSPIJumps3.3% Jumps 3.3%, South Korea’s Stock Market Sends a Powerful Signal to Global Investors
South Korea’s stock market is attracting fresh attention after the KOSPI index surged 3.3%, delivering a strong move that has placed investor sentiment, technology stocks, and the broader Asian financial market back in focus.
A rally of this size is more than just a number on a trading screen. It reflects a significant shift in market activity and encourages investors to examine what may be driving the move, which sectors could benefit, and whether the recovery can maintain its momentum.
The KOSP

#BitcoinTops$82K #ShareWeekly $BTC
BTC is back above $82K on Monday, but I’d like to look at how it got there before calling it strength.
1. The weekend in one paragraph
BTC dipped below $81K over the weekend (a low around $80,700), then climbed back to roughly $82,400–$82,800 by Monday. Sunday’s close was about $82,002 in one dataset, so Monday’s price is only about 0.9% beyond it (my math).
2. The rally ran on thin volume
One dataset of daily candles shows weekend turnover at about 36% of weekday levels, a median of roughly 912 BTC a day against 2,559 (my ratio). Thin liquidity makes moves

$Q I'm screwed, damn it, I'm less than 0.01 short

ETH finally lived up to expectations for once, outperforming BTC in Q3!
BTC’s long-term logic is relatively straightforward, with its valuation mainly driven by scarcity, monetary properties, and global allocation demand.
ETH is much more complex, with its value simultaneously dependent on technological competition, ecosystem adoption, economic models, and capital market fund preferences.
This is also the core divergence in ETH’s valuation over the past few years and the years ahead.
The same logic also applies to stablecoins and RWA.
So from this perspective, I remain bullish on Ethereum’s lo

1. Yesterday's Strategy Review
Yesterday's BTC and ETH short strategies were validated once again.
After BTC entered the planned zone and began to pull back, both the first target at 81300 and the second target at 80850 were reached.
ETH also hit both targets, with its price pulling back to around 2329 at the low.
Yesterday's actual results were:
✅ Both BTC short targets were reached
✅ Both ETH short targets were reached
Those who followed the plan yesterday can now take profits from this round. Although the market has rebounded today, don't rush to chase longs just because prices are rising.

$BR Up 13% in 24 hours, with 123 million in trading volume. I bet it pulls back to 0.44 within 48 hours—dare to follow?
Current price: 0.4741, already down 13% from the high of 0.5462—a classic pump-and-distribution setup. My strategy: open a small short in the 0.47–0.48 range, with position size capped at 5%; set a stop-loss at 0.505 (above the previous high) and take profits in stages between 0.44 and 0.42. If it breaks above 0.51 on high volume, I’ll admit I’m wrong immediately and flip long, targeting 0.58. There’s only one rule for picking coins: go for explosive movers with high 24-hour

This week, BTC has been range-bound around $80,000, with no clear direction but plenty of data.
BTC/USDT is around 82660, trading in a 79800-84300 range over the past two weeks.
Farside data shows U.S. spot BTC ETFs saw cumulative net outflows of about $450 million in October, with a single-day outflow of $485 million on October 7, the largest since June.
The same macro factors are also weighing on U.S. stocks.
September CPI rose 3.7% year over year and core CPI rose 2.6%, both above market expectations; the FOMC had already raised rates to 3.75%-4.00% on September 16.
The 10-year Treasury yie

Yesterday, I flagged the possibility of a market turn in advance, so those who needed to take profit did, while those who didn’t were stopped out at breakeven.
After a sharp drop, Bitcoin and Ether also successfully made a V-shaped recovery.
The big players realized that continuing to push prices down and liquidate longs would cost too much, so they cleared out some shorts first.
Bitcoin is currently at 83,000 and 84,500, where many shorts have their stop-losses, so in the short term BTC is likely to wick above 83,000 and then come back down. I’ll place an order to go short around 83,100.
$BTC

CryptoQuant CEO predicts Bitcoin $30K bottom if ETFs and treasuries pull back
Extreme scenario still points to $30K support
Ki Young Ju, CEO of CryptoQuant, argues that even in a scenario where institutions aggressively exit Bitcoin, price could find support around $30,000.
⚠️ Personal market analysis only. NFA — manage risk and DYOR.
Educational content, not investment advice or a recommendation to buy, sell, deposit, or withdraw any asset. No paid promotion or referral/affiliate links.

If the current market is 100k=10m,
what about a 2M market?

CSI 500 led gains at +0.90%, making it the strongest tier today: this was not merely index heavyweight support, but gains in mid-cap industry leaders (given today’s PPI data, the pro-cyclical resources/chemicals chain should be the main driver).
Technology continued to be pressured: STAR 50 led the entire market lower at -1.18%, while the ChiNext Index fell -0.48%; semiconductors and new energy weakened for a third consecutive week, remaining the main decliners.
Small-cap sentiment cooled: CSI 2000 fell -0.39%, hot-money sentiment was mediocre, and small-cap stocks did not rise across the boar

October 19 Bitcoin and Ethereum Market Analysis
Bitcoin is in a phase where “technical recovery after a sharp drop” and “structural position rotation” are unfolding in parallel. The price is fluctuating in the $80,000–$83,000 range, with $84,000 forming the first significant resistance. 🧱 On the macro front, rate hike expectations rose and then fell after both CPI and PPI came in above expectations; although the 10-year Treasury yield has edged down to around 5.1%, it still imposes a systemic valuation constraint on non-yielding assets. The true directional signal will depend on th

Brokerages are collectively calling a bottom, while ETFs provided some late-session support. There is indeed short-term support, but a rebound does not equal a reversal. With trading volume yet to recover, the market will likely retest the lows after the rebound. Watch it, but don't rush to believe it.#A股

$UNITREE Yushu Technology has surged too much; don't miss the shorting opportunity🔥
Sister Xing actually commented on Yushu Technology in September. This coin follows Yushu Technology stock, and I said at the time that every rally was an opportunity to short.
Anyone following A-shares recently knows that the global semiconductor plunge has dragged down many A-share sectors, and overall market trading volume has failed to pick up. Yushu Technology has simply finished releasing selling pressure; this has nothing to do with a fundamental reversal. Investors in other sectors are trapped, while Yu

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$BTC $ETH $TSLA

#1piece365 DCA Day 199
Only perseverance makes it a dream;
give up, and it’s just wishful thinking.
Get through the days when no one pays attention,
and you’ll find poetry and distant horizons!

#USMemoryStocksExtendLosses US Memory Stocks Extend Losses, Is the AI Boom Facing a Reality Check?
The US memory stock market is facing renewed selling pressure as losses continue across the sector. The decline is raising an important question for investors. Is the artificial intelligence boom entering a new phase where expectations must finally catch up with reality?
For months, memory chip companies have benefited from growing demand for artificial intelligence infrastructure. AI models require enormous computing power, and that computing power depends on advanced processors, high bandwidth