CryptoPepper

How can there still be people who don’t know the difference between Juan quan?
A “quan firm”? That’s “securities firm,” boss.
If you call it a “quan firm,” then you’re looking at definitely bunch of naive investors.

Actually, as someone born in the 90s, I feel it's quite surreal. I never thought I would have a cellphone, computer, or car when I was a kid. The changes over just twenty or thirty years have been dramatic, making the 1990s and now feel like two different worlds. It's like this cyberpunk world, being awakened in this moment, in a brief lifetime, transforming from a physical body in childhood to a human-machine integrated intelligent entity.
I can't tell the difference. I really can't tell the difference, ah ah ah.

Today, all the GPT relay stations have gone down.
It's already crazy.
It's hard to make money from relay stations; if anyone still has channels, let me know.
I'll buy a guaranteed one.

vibecoding has stripped away the most boring parts of programming, retaining the highest level of mental creative fun, and applied a real-time feedback mechanism similar to games.
When "fun" and "usefulness" are combined, it is a very natural psychological inclination to replace pure entertainment activities.
Xiangzi: "Driving a taxi doesn't really exercise the body at all; it has to be personally driving the car to feel right. I just like that feeling of sweating all over and then collecting the money—it's satisfying!"

To verify my logic, the Memory Palace + Multi-layered Learning Feedback Model, I looked up some academic papers (numerical + text + K-line, multimodal market intelligence, double-layer reflection, diversified memory retrieval)
Unexpectedly, there was a paper published in 2024, reporting an average profit increase of over 36%, with a return of 92.27% on a single dataset
The "multi-layered Memory Palace" learning engine, in my opinion, is verifiable

Why the financial markets cannot be universally understood
Grabbing OI/CVD, I suppose many bloggers have written about it as well, I myself once implemented a series of OI/CVD monitoring strategies, which indeed proved effective (early last year I had a signal notification group because the strategy could detect faster than Vida's OI monitoring by 3-5 minutes)
When do I think this kind of strategy is no longer suitable?
When all exchanges start to equalize skills and move towards agent-based systems, it inevitably leads to MM strategy adjustments
A short-term surge in OI volume — quick

Why is it said that financial markets cannot achieve knowledge universality?
Monitoring OI/CVD—probably many bloggers have written about it. I myself once developed a series of OI/CVD monitoring strategies, which indeed proved effective.
When did I think these strategies no longer suited the situation?
When all exchanges began to equalize skills and move towards agent-based systems, it inevitably led to MM strategy adjustments.
A short-term surge in OI volume—quickly closing positions—causes all short-term automated bots following along to be "trapped."
This is the new era's perp san

Social media automation factory - I’ve changed the way I write it
Humans carry script-based thinking, and these scripts are deeply ingrained. Let me give an example: multiple instances of intelligent agents running - then passing information to the next agent - ultimately completing the task.
So what if there are no intelligent agents? Wouldn’t it still be able to complete the task?
This is the same as what everyone keeps talking about with AI trading. If you still let AI learn script-based thinking, learn to give human instructions to start creating indicators, then what’s the differenc

No need to be questioned
These days, Hoewei / Minohua together have gained a total of 22 points, the money earned in A-shares is really different from the crypto circle
I mentioned 688508 at noon, and it opened with just 3 points in the afternoon
By the way, I listened to advice and bought Jiuan, wish me good luck

China Cigarette Museum - Has Evergrande ever sold cigarettes?
The website currently features over 3,200 cigarette products under 218 brands. It covers well-known brands from mainland China (such as Zhonghua, Yunyan, Huanghelou, Shuangxi, Baisha, Zhongnanhai, etc.), as well as brands from Hong Kong, Macau, Taiwan, and international brands (such as Marlboro, Sobranie), along with some discontinued cigarette brands.