$WAL Strong upward trend
Buy 0.03780 0.03720, target 0.03870 0.03915 0.03970, stop-loss 0.03690

I feel like @housesarebig last set with Shen...

In business, fortune favors the brave.
In crypto, fortune favors the retards.
Stay retard 😜

WEN UPTOBER? 🥹
Bitcoin has spent the whole week stuck between $81K and $87K.
Important things to know:
- Oil near $110;
- US 30-year rates the highest since 2002;
- Now everyone’s waiting on one US inflation number this Wednesday 14 Oct, at 8:30am New York time;
Possible Meeting Outcomes
▶️ Hotter than expected: people bet harder on a rate hike, US rates climb and Bitcoin likely feels the pressure. We can go from neutral toward fear quickly.
▶️ Cooler than expected: rates could ease and give Bitcoin and stocks some room to move up.
▶️ About as expected: probably more of the same flat chop

JUST IN: 🇺🇸 US government fines Bank of America $1,200,000,000 over money laundering failures.

I’ve already gone heavily into $Lobster; it’s basically stabilized. I also bought the dip on long positions. If this wave doubles, I’ll completely exit.

This round keeps only 5 strong signals: ARC, DOS, W, 1 long and 4 shorts. Watch volume and structure before acting. The previous round went three wins and one loss, turning green by +3.9%; DRAM, SNDK, and Lobster hit their targets. The current four-position average is +0.1%; observe for now. 🎯 Previous-round returns: DRAM entry $5.8300 → exit $52.5130, 5.0x, capturing +4.2%; SNDK entry $1447.8000 → exit $1447.8000, 5.0x, capturing +4.2%; Lobster entry $0.0450 → exit $0.0467, 5.0x, capturing +14.2%
━━━ Market View ━━━ BTC 83,242 +0.5%, with short signals more concentrated; negative funding-rat

When OpenAI fired Sam Altman in 2023 its board reached out to a 26 year old MIT dropout about stepping in as CEO and he said NO
Alexandr Wang had wrapped a secretive three-day retreat on AI and national security in Utah with about 100 guests the day before Altman got fired
His whole career started with a camera he wanted to put inside his fridge so it could tell him when he was out of milk
There wasn't enough data to train it so he dropped out of MIT after one year and started Scale AI to label data for everyone else
After the self-driving car companies signed on so did OpenAI Microsoft Meta a

$ZEC This short trade feels great—shorted from 1441 down to 1217, with 75x leverage generating 1101% in floating profit. The market is in a textbook downtrend, with all moving averages pressing down. Every small bounce hits resistance and falls back, making declines smooth and rallies difficult. But a thousandfold floating profit at 75x is merely paper wealth; a single lower-level wick can be fatal.
Technical view: The daily chart shows a bearish moving-average alignment, while the 4-hour rebound has met resistance, with volume expanding on declines and contracting on rises. The previous low i

$BTW Long positions are unbeatable, hahaha, keep making money, keep making money

#GateXRedBullWinsSingaporeGP
I would like to share my thoughts on the recent Formula 1 Singapore Grand Prix. Max Verstappen secured his 73rd career victory and his first win at Marina Bay. He started from pole position and led the race from start to finish. Red Bull Racing won both the Sprint and the Grand Prix this weekend. As the official sponsor, Gate's VIP team was present in Singapore to support the team. This result indicates a strong late-season resurgence for Red Bull Racing.
1️⃣ My rating of Max’s performance: 10/10.
I give this rating because executing a perfect race at Marina Bay i

Only 39 blockchains are generating more than $1,000 in daily fees.
How many of these chains will still exist in 2 years?

$ETH
✨ Ethereum navigates a dense macro window with structural signals in focus.
🔹 Ethereum is trading near $2,508 as of October 13, holding above the $2,400 support zone after a recent dip to $2,409 during the Asian session. The price remains below the 200-period EMA at $2,558 and the $2,540 horizontal resistance, as the market awaits key macroeconomic catalysts.
📊 The data behind the price action:
🔹 Price levels: ETH is down 0.63% over 24 hours and 7.05% over the past week. Immediate resistance sits near $2,540, with support at $2,400.
🔹 ETF flows: US spot Ether ETFs recorded $85.4 mill

$ETH
price fell, and positions were cut by nearly 80% in a week; longs capitulated and trampled each other, with the proportion of longs shrinking from 73% to 72%. Everyone above is a bagholder; a rebound to 2528 is the escape window—don’t wait for the waterfall😝

$SUI is setting up for an interesting move.
After reclaiming the $1 zone, a pullback toward $0.88–$0.98 could offer a key area to watch.
If buyers defend this zone, $1.20 and $1.35 come into focus, with $2.10 as a bigger upside target.
Patience over FOMO. Let the price confirm the setup.
#DrLinHanSpeaksAtOxfordUnion #GateWCTCS9GlobalTradingCompetition

0x1697...fabd sent back 80 Trump Digital Trading cards which have now been added for reclaiming at

Retail investor: Nike $NKE just hit a 52 week low. That's gotta be a steal at these prices right?
Me: Maybe. Let's actually check instead of guessing.
Retail investor: It's Nike. Everybody knows Nike.
Me: Brand recognition doesn't matter... Pull up the earnings. Are profits growing or shrinking over the last few years?
Retail investor: ...I don't actually know.
Me: That's the whole question. A falling price with growing profits is a dip. A falling price with falling profits is a company in trouble...
Retail investor: So a 52 week low means nothing by itself?
Me: Nothing. It's a price, not a va

Overnight U.S. stocks presented a highly divided picture: Micron fell 3.6%, while Nvidia still closed higher. The same market was telling two completely different stories. On the surface, both are chip stocks, but the underlying trading logic is on entirely different wavelengths. Micron is tied to the memory cycle—DRAM and NAND prices, inventory drawdowns, and cloud providers’ capital expenditures. If any one of these falls short of expectations, the stock could be punished first. Nvidia, by contrast, is being supported by demand for AI computing power, and the market is willing to give it a h