$EDU
UPDATE
#EDU is dropping gradually. In this move we can see 20%+ drop here ✍🏻
#EDUUSDT #EDUBTC #Btc #Bitcoin #Crypto

$ETH 2U can get you breakfast, 100U can take you on a trip, 1,000U can buy a 17 Pro Max, and 100kU can buy a house. So, what is the endgame of trading

$SNDK Can this go up?

Due diligence tells you what you're buying. Ongoing monitoring tells you when that investment has changed.
When occupancy falls or costs rise, the real test is whether the change gets detected, verified and acted upon.
#InvestmentRisk #RWA

$TRUMP Current price: 1.179. Overhead resistance is at the Bollinger upper band, 1.198; support is at the Bollinger lower band, 1.169. 1.17 is the bull-bear dividing line for this move. The key issue is the funding rate: the negative rate of -0.0101% means shorts are continuously paying to hold their positions, while the price is down just 1.09% and the MACD histogram remains at +0.001359. This indicates that bearish pressure is driven by sentiment rather than incremental capital, and the Fear and Greed Index at 28 also confirms that fear is nearing an extreme. This combination of “negative f

Can a wallet get a post-quantum lock without a network upgrade?
On @Starknet, accounts are contracts, so a new one can pick its own signature check.
StarkWare demos (Nov 6): Falcon-512 on mainnet, unaudited. ML-DSA on testnet.
Preparing, not done.
➙

GM Saiyans! 🙌
“You don’t need to prove your strength to everyone. The greatest battles are often the ones you fight in silence.”
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$BTC : $75.816
$ETH : $2.235
#BTC Fear & Greed Index: 28
#Bitcoin Dominance: 60%

How to Set a Reasonable Risk-Reward Ratio in BTC Trading? Win Rate Isn’t Everything!

In BTC trading, many people focus heavily on their win rate, believing that as long as they make the right call often enough, they can keep making money. But in reality, win rate isn’t the only factor that determines trading results. A trading system with a lower win rate but a reasonable risk-reward ratio may still maintain positive expectancy over the long term.

So, what is the risk-reward ratio?

First, understand the concept of the risk-reward ratio. It refers to the ratio between the potential profit an

Turning 500U into 500,000U—I know someone who really did it. What happened to him afterward?
In 2021, I met someone in a group. Let’s call him A.
He really did it. 500U, three months, 500,000U.
I saw the screenshots. They weren’t fake.
How did he do it?
100x leverage, BTC only. When he got the direction right, he rolled over his position and put all the profits back in.
In the first week, 500U became 3,000U. By the third week, it was 50,000U. By the third month, it reached 500,000U.
The group called him a god.
And then?
In the fourth month, BTC made a sudden wick.
His position was fully loaded

Nonfarm payrolls came in at 165k—a shocker. The better the data, the more crypto sweats: jobs are booming, rate-cut hopes are shattered, and the odds of a December rate hike are maxed out. Treasury yields surged, $BTC ‌retraced to 75k overnight, and 230k traders were liquidated, wiping out leveraged longs. On the surface, employment is strong and wages are rising; in reality, part-time work is increasing and real incomes are shrinking. Capital is no longer parked in the AI story up in the clouds; it's flowing back into the real economy. The Nasdaq rebound is flimsy too, driven entirely by ove

bitcoin:native would you go long or short from here?

Analysis of Gold (XAU), BTC, ETH, etc.
Beijing time, evening of November 8–9, 2026
Key market dynamics
After the election results were finalized, the market shifted from sentiment recovery to policy pricing. Technology and memory stocks came under the most pressure due to regulatory concerns. Gold surged amid fluctuations in the dollar and yields before pulling back; real interest rates remain a medium-term headwind. Oil prices stabilized after a sharp retreat in geopolitical premium and entered a range. Crypto remained weak alongside risk appetite.
Tonight (evening of November 8)
Weekend liqu

Guys, the wolf is really coming!!
The reputable media outlet The Wall Street Journal reported that Elizabeth Warren, the famous “crypto’s number one nemesis,” could take over as chair of the U.S. Congressional Banking Committee as early as January 2027!
This position holds enormous power and can be said to directly control the lifeblood of the financial sector.
Warren has always taken an extremely hard-line stance toward cryptocurrency and has repeatedly made things difficult for the industry.
If she really takes this position, the regulatory scythe could come swinging down at any moment, and

I see you all worrying about this Bot's usage every day
I don't think I've ever used up my Grok @bot quota
The Bot's video generation seems to use up the quota fastest, but its AI videos are complete garbage. Grok Bot is great at everything except making videos

$AVAX Bullish outlook: On the 4-hour chart, the price is stuck in the 8.130–8.139 range, and I’d wait here for buyers to step in.

The key pivot is 8.13—as long as this level isn’t decisively broken, watch 8.19 and 8.23 as the next targets; if the price falls below 8.08, the entire long thesis is invalidated, and there’s no reason to stay in the trade.
A few supporting reasons: - The 1-hour RSI has fallen to 37, with short-term momentum largely spent, leaving room for a technical bounce; - BTC is leaning toward a short-term rebound, and sentiment could provide correlated support for AVAX; - Th

Is Microsoft the hidden ace in the AI race? Don't just focus on chips—software can make money too!

Lately, I've been paying more attention to Microsoft (MSFT). When people talk about AI, many think of Nvidia first, but I think Microsoft is also worth looking into.
Why? Chips provide computing power, while Microsoft has a large base of enterprise customers, a cloud computing platform, and an office software ecosystem. To make money from AI, companies need more than just hardware sales—they also need to find users who are willing to pay.
Products like Azure cloud services, Microsoft 365, and Co

The “Democracy Files” series has a new installment. This one looks at how midterm elections are “carried out.” The author focuses not on voting machines, but on the role of NGOs in early voting. The author says they’re too tired this week to write a summary, so they just toss out two main points and let readers take a look and make up their own minds. That approach fits the series’ usual style: no rush to draw conclusions—first, put the questions on the table.

People who believe the election system is rigged already believe it; those who don’t won’t even read about it. What I’m more curious a