You can actually use the character “呀” like this, damn.
The teacher only had to point it out once, and I got it.

Just thinking about that 68.4k level at lunchtime
At 68k, surely they'd let people finish their noodles
Then, just before 2 p.m., it broke through another level 🥲
Around 1:56 p.m.
BTC crashed below 68k, bottoming around 67.5k
Now around 68.2k, down about 7.3% over 24 hours, with a high of about 73.7k
The liquidation figures look bad too
BTC liquidations over 24 hours were about $901 million, with long positions accounting for about $870 million, or roughly 97%
ETH bottomed around 1,890 and is now back near 1,910
That whole-number level disappeared in an instant—I’ll finish my noodles before t

Western Progressive logic.

#Gate直通IPO第三期Anthropic，
Anthropic has begun its IPO journey for Class A common shares. The share price range has been set at $70-78, and they will trade under the ticker "ANT."
🚀 A New Era in the AI Race: Anthropic IPO Opportunity on Gate!
Anthropic, a pioneer in AI technology, is redefining industry standards with its Claude models. Particularly through coding, in-depth text analysis, and its safety-focused approach to AI, it has become one of the strongest competitors to tech giants.
My Outlook on Anthropic's Future:
• Enterprise Adoption: Claude's large context window and consistent respo

So introverted, they don't dare say they're full and can only keep eating🤪

I spent all day at SGLang Summit in San Francisco @lmsysorg @sgl_project #SGLangSummit, and here are a few takeaways from the speakers on site～
1️⃣ Open-source inference is becoming “consortium-style infrastructure.” SGLang released v1.0 and established a Consortium, bringing NVIDIA, AMD, Google, Meta, Intel, and others to the same table to build a roadmap together. The vibe is familiar: open-source protocols + ecosystem-wide governance, much like crypto’s early days.
2️⃣ The focus of competition is shifting from “who’s smarter” to “who’s faster and more efficient.” The biggest pain point in t

《BTC Falls Below the DCA Cost Basis:
This Isn’t a Crash—it’s “Long-Term Holders” Bleeding Together》
The chart shows BTC has fallen to $69,200,
while the Ahr999 indicator has dropped to 0.3569, nearing its historical “buy-the-dip zone.”
More importantly, the price has fallen below the 200-day DCA cost basis,
meaning people who dollar-cost averaged over the past 200 days are collectively underwater.
Does this look like a crash,
or like an inevitable step in coins changing hands from “true believers” to “patient capital”?
Army’s outlook:
When DCA investors start selling at a loss, that’s when lon

#ETH #BTC #BAN #PHA #PNUT
Everyone, I’m your spiritual pillar of support. Latest update: remember what I said—go long right here, fast. Don’t short. Making money in crypto is easy; information is important. Keep up and reap the gains.

Open interest suddenly rises—is it a new opportunity or is risk building up?

In the crypto derivatives market, besides price and trading volume, there is another frequently overlooked metric: open interest (OI).

When OI rises rapidly, some believe the market is attracting new capital, while others worry that large leveraged positions are piling up and could trigger sharp volatility at any moment. How should we interpret it?

First, an increase in OI means the number of outstanding contracts is rising.

It reflects the size of contracts that remain open in the market, not simply the amount of

Gold continues to attract capital. Why hasn’t Bitcoin risen in tandem?

A notable phenomenon has emerged in financial markets recently: Some investors view both gold and Bitcoin as alternative assets outside the traditional financial system, yet their capital flows have diverged significantly.

Data released by the World Gold Council on November 5 showed that global physically backed gold ETFs saw net inflows of approximately $2.7 billion in October 2026, marking the fourth consecutive month of net inflows. Global gold ETF holdings increased by 19 tonnes to 4,275 tonnes, setting a new month-en

What Is Overfitting? Why Can More Precise Parameters Make a Strategy More Fragile?

In cryptocurrency trading, some strategies show increasingly high historical returns and increasingly attractive backtest curves after repeated parameter tuning. However, once deployed in live markets, their performance may deteriorate rapidly. A common reason behind this is overfitting.

First, what is overfitting?

Overfitting occurs when a strategy adapts too closely to specific fluctuations and random patterns in historical data, causing it to perform well in the past but lack the ability to adapt to new ma

Short the $1000PEPE$1000PEPE bounce. Trading range: 0.0044818 - 0.0045047 TP1 0.004275 | TP2 0.004100 Stop loss 0.004640 Froggy is losing its bounce, looking like a one-way ticket straight to the basement. Be careful: if positive taker buy/sell volume delta finally starts picking up, a liquidity sweep or short squeeze could occur. Don't go all-in, friend. Size your position to suit your own account.

It’s a total sea of red across the charts today 🩸
ethereum:native

BTC falls below $70k; can tonight’s 9:30 p.m. PPI print a long wick on the weekly candle?
Could the weekend bring a violent rebound? U.S. PPI tonight may be an important catalyst.
BTC has fallen to $69,199, down 6.02% in 24 hours, after hitting a low of $67,568—about 5.4% below its 200-day moving average of $73,137.
First, tonight at 9:30 p.m., the U.S. October PPI will be released. Here are four scenarios for the key data:
Strongly bullish: Headline ≤0.2%, core ≤0.2%. Inflation comes in clearly below expectations. If the dollar and Treasury yields also retreat, BTC could quickly reclaim $70,5

How Should Position Size Be Calculated? Why Is It More Reasonable to Determine the Risk Amount First, Then Decide How Much to Buy?

In cryptocurrency trading, many people are used to assessing the market first and then deciding how much to buy, while overlooking the most important step: if they are wrong, how much of a loss can they actually afford to bear? Sound position management should start with a risk budget, not potential returns.

First, determine the amount of risk you can afford to take.

Suppose your account has 1,000 USDT and you plan to limit the risk on a single trade to 1% of yo

What is the risk-reward ratio? Why can a trade have long-term value even with a low win rate, as long as risk is managed appropriately?

In cryptocurrency trading, many people focus too much on win rate, believing that they need to make correct calls frequently to make money. But what really affects long-term trading results is not just the win rate, but also the size of each win and loss. The risk-reward ratio is an important tool that helps traders assess whether a trade is worth taking.

First, what is the risk-reward ratio?

The risk-reward ratio generally compares a trade's potential loss

$BTC Bitcoin has already fallen below 68,000. The Fear & Greed Index is still in extreme fear, and nobody dares to buy the dip for now. Keep falling; it will probably need to drop below 60k before institutions and whales come out to buy the dip and stabilize the market. $BTC

What is the difference between isolated and cross margin? Which margin mode is better for managing risk?

In crypto futures trading, margin mode, in addition to leverage, also affects account risk. Isolated and cross margin are two common options. The key difference is whether other funds in the account are used to absorb losses when a position loses value.

First, what is isolated margin?

Isolated margin assigns separate margin to a specific position. Typically, losses on that position are primarily covered by the margin allocated to it, and other funds in the account are not automatically u