gm Elysium printers
another day to log on and lose money.

The work you avoid the most is usually the work you need to do.
First 8km run ever 🥹😮‍💨
Two months ago, if you'd asked me, I'd have told you how much I don’t like running.
All through my fight training, the thing I said most "I really don't like running."
I still don't love it.
But who said that everything that is good has to be enjoyable?

The ChiNext Index has really been beaten down this time, falling nearly 45% from its high. It’s probably close to bottoming out.
It finally stopped falling last Thursday, and today it rebounded on heavy volume. The market looks pretty healthy. Tech was especially active, with multiple stocks in humanoid robotics and AI short dramas hitting their daily limits; computing power and semiconductors also rebounded.
For now, the market is just repeatedly testing the bottom. Stay calm and ride it out!

$XRP XRP funding rates have hit a new cumulative high! The last time was in October 2025! Major volatility is coming! Hope you’re all on board when it hits $3! If you’re not in a position, hurry and go long! Last chance to get on board!

Most tokenization diagrams start with the token.
Due diligence should start with the ownership chain.
Who issues it? Who holds the underlying asset? Who is obligated to pay?
A transferable token is only as credible as the documented rights behind it.
#RWA #InvestorRights

11.9 ETH Long/Short Strategy (Review)

[translate-ref-0]: $ETH
Opened a short at 2150 in the morning and exited near 2090 on the second test of the lows, for a potential 50-point move
After the bottom was tested, opened a long at 2090 and exited near 2150, for a potential 50-point move
7 profitable trades in total, with 2 losing trades locked in

[Strategy Review]:
The long entry reached its first target
The short was based on the larger time frame and did not reach its target; there is considerable overhead resistance

[Current Market]:
Overall, it is moving in line with BTC, in a range betw

What Is Data Leakage? How Is It Different from Look-Ahead Bias, and How Can You Avoid Misjudging Machine Learning Trading Models?

In crypto quantitative trading, machine learning models may achieve very high accuracy on a test set but perform poorly once deployed in real trading. Sometimes the problem is not that the model is insufficiently complex, but that data leakage occurred during training and evaluation, allowing the model to indirectly access information it should not have known.

First, what is data leakage?

Data leakage occurs when information that should not be available for the c

Trump Media Reports $409.7M Q3 Profit, Driven by Digital Assets

Trump Media & Technology Group reported a net profit of $409.7 million for the third quarter of 2026, with digital asset gains playing a major role.

The company recorded approximately $378.1 million in digital asset gains, highlighting how crypto holdings can significantly influence corporate financial results.

However, the headline profit needs context. Revenue was just $3 million, while adjusted EBITDA showed a loss of $12.3 million.

This shows the growing impact of digital assets on corporate balance sheets, but also th

What Is a Confusion Matrix? How Can You Understand the Exact Number of Correct and Incorrect Predictions Made by a Trading Model?

In crypto quantitative trading, a model may have a high accuracy rate, but that doesn’t tell us where it goes wrong. For example, a model may be good at identifying declines but frequently miss opportunities when prices rise. A Confusion Matrix compares predictions with actual outcomes, helping traders see exactly how the model performs.

First, what does a confusion matrix contain?

Taking the prediction of whether prices will rise in the next period as an example

Guys, it's over.
This time, Dad and Grandpa probably won't get away.

AI unicorn Anthropic is pushing hard to knock on Nasdaq’s door before Thanksgiving. Do you think it can secure a $100 billion valuation this time?
Recently, the U.S. AI sector has been highly volatile, and market euphoria has cooled considerably.
The wild figures floated a while ago—raising $69.3 billion at a $2 trillion valuation—were quickly denied and retracted by the company, exposing the fierce tug-of-war between underwriters and potential buyers.
The roadshow has officially kicked off. So what will the valuation actually be?
Judging by the latest negotiations, the early dream of a $2 tri

Short-term bearish sentiment is pervasive, but has the medium- to long-term trend actually broken down? Looking beyond daily chart noise, we’ll comprehensively assess the outlook for BTC and ETH based on long-term moving-average structures, token turnover, and macro themes! Bitcoin market analysis $BTC $ETH Latest YouTube video from Chain Blade: Bitcoin market analysis

The Nasdaq is staging a strong comeback. How much longer can tech stocks keep rising this time?

If the U.S. stock market has a star team, AI chip stocks have unquestionably been its leading players in recent years.
Whenever risk appetite in the market rebounds, investors always like to take another look at the artificial intelligence supply chain. After all, everything from training large models to building data centers depends on powerful computing capacity.
With U.S. stocks recently rebounding and tech stocks regaining momentum, the AI chip sector has naturally become a market focus once ag

What Is a Transaction Cost Model? How Can Backtest Results Be Made More Realistic?

In cryptocurrency trading, some strategies deliver high returns in historical backtests but perform poorly once real capital is deployed. The problem may not lie in the strategy’s signals themselves, but in the backtest’s failure to adequately account for real-world trading costs. A transaction cost model incorporates these real-world factors to assess a strategy’s actual performance after costs.

First, what is a transaction cost model?

It is used to estimate the various costs incurred when executing a strate

LIVE TA: Bitcoin Morning Price Discovery
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In minutes LIVE for members
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